# Importing the SPSS dataset to R and making a R dataframe
##These libraries need to be installed, write install("foreign", "FactoMineR"... etc) if needed
library(foreign)
library(FactoMineR)
#library(Rcmdr)
library(RcmdrMisc)## Loading required package: car## Loading required package: sandwichsetwd("/Users/janfredrikhovden/Dropbox/DBXPAGAANDEARBEID/Statistikk/Rworkdir/WJS")
wjsn<-read.spss("WJS Consolidated Data V2-03 140916.sav", to.data.frame=TRUE)## Warning in read.spss("WJS Consolidated Data V2-03 140916.sav",
## to.data.frame = TRUE): WJS Consolidated Data V2-03 140916.sav: Unrecognized
## record type 7, subtype 14 encountered in system file## Warning in read.spss("WJS Consolidated Data V2-03 140916.sav",
## to.data.frame = TRUE): WJS Consolidated Data V2-03 140916.sav: Unrecognized
## record type 7, subtype 17 encountered in system file## Warning in read.spss("WJS Consolidated Data V2-03 140916.sav",
## to.data.frame = TRUE): WJS Consolidated Data V2-03 140916.sav: Unrecognized
## record type 7, subtype 18 encountered in system file## Warning in read.spss("WJS Consolidated Data V2-03 140916.sav",
## to.data.frame = TRUE): WJS Consolidated Data V2-03 140916.sav: Unrecognized
## record type 7, subtype 21 encountered in system file## Warning in read.spss("WJS Consolidated Data V2-03 140916.sav",
## to.data.frame = TRUE): WJS Consolidated Data V2-03 140916.sav: Unrecognized
## record type 7, subtype 22 encountered in system file## Warning in read.spss("WJS Consolidated Data V2-03 140916.sav",
## to.data.frame = TRUE): WJS Consolidated Data V2-03 140916.sav: Unrecognized
## record type 7, subtype 24 encountered in system file## Warning in `levels<-`(`*tmp*`, value = if (nl == nL) as.character(labels)
## else paste0(labels, : duplicated levels in factors are deprecated# Distribution of main variables in dataset, by country
#Which of the following categories best describes your current position in your newsroom?#
colPercents(xtabs(~C1+COUNTRY, data=wjsn))## COUNTRY
## C1 Albania Argentina Australia Austria
## Editor in chief 13.9 13.3 4.3 6.8
## Managing editor 4.1 6.9 4.5 10.8
## Desk head or assignment editor 18.6 9.2 3.8 7.8
## Department head 0.7 1.1 4.5 14.3
## Senior editor 5.4 10.0 9.6 48.5
## Producer 0.7 14.7 4.5 0.9
## Reporter 49.8 14.4 49.5 2.9
## News writer 4.4 22.2 2.3 2.0
## Trainee 0.3 1.7 1.8 0.0
## Other 2.0 6.4 15.2 6.0
## Total 99.9 99.9 100.0 100.0
## Count 295.0 360.0 604.0 818.0
## COUNTRY
## C1 Bangladesh Belgium Bhutan Botswana Brazil
## Editor in chief 3.4 9.1 2.2 4.9 3.0
## Managing editor 2.9 7.3 7.8 2.7 6.5
## Desk head or assignment editor 3.4 5.6 4.4 9.7 14.8
## Department head 6.3 4.4 3.3 3.8 2.7
## Senior editor 6.6 21.5 4.4 10.8 6.7
## Producer 2.6 1.7 6.7 1.6 8.6
## Reporter 48.3 40.3 52.2 40.5 45.7
## News writer 8.3 4.2 8.9 5.4 2.7
## Trainee 2.3 0.2 4.4 4.3 5.6
## Other 16.0 5.8 5.6 16.2 3.8
## Total 100.1 100.1 99.9 99.9 100.1
## Count 350.0 591.0 90.0 185.0 372.0
## COUNTRY
## C1 Bulgaria Cameroon Canada Chile China
## Editor in chief NaN NaN 2.3 1.6 0.3
## Managing editor NaN NaN 2.6 4.9 0.5
## Desk head or assignment editor NaN NaN 1.1 6.9 0.8
## Department head NaN NaN 4.8 2.4 7.2
## Senior editor NaN NaN 6.2 7.1 8.0
## Producer NaN NaN 3.4 4.3 25.4
## Reporter NaN NaN 43.8 53.6 30.3
## News writer NaN NaN 1.4 15.7 20.5
## Trainee NaN NaN 0.0 3.5 4.0
## Other NaN NaN 34.4 0.0 2.9
## Total NaN NaN 100.0 100.0 99.9
## Count 0 0 352.0 491.0 623.0
## COUNTRY
## C1 Colombia Croatia Cyprus Czech Republic
## Editor in chief 10.1 8.6 4.9 12.0
## Managing editor 6.1 6.7 2.9 7.2
## Desk head or assignment editor 6.5 8.8 2.0 7.2
## Department head 3.6 7.9 0.5 9.6
## Senior editor 7.2 17.2 0.0 5.5
## Producer 6.5 0.9 0.5 0.7
## Reporter 35.4 44.0 1.5 38.8
## News writer 19.7 0.7 83.8 12.7
## Trainee 3.4 0.0 3.4 1.0
## Other 1.4 5.1 0.5 5.2
## Total 99.9 99.9 100.0 99.9
## Count 554.0 430.0 204.0 291.0
## COUNTRY
## C1 Denmark Ecuador Egypt El Salvador Estonia
## Editor in chief 2.9 15.1 4.2 6.8 14.6
## Managing editor 2.9 2.2 18.8 4.8 7.3
## Desk head or assignment editor 5.4 3.2 6.2 8.0 0.0
## Department head 6.7 3.8 14.8 4.4 4.0
## Senior editor 8.2 8.1 23.0 10.0 10.2
## Producer 1.3 12.7 9.0 9.6 2.9
## Reporter 55.7 35.6 4.0 35.6 22.3
## News writer 0.0 13.2 4.2 17.2 35.4
## Trainee 0.1 4.9 3.5 0.4 0.4
## Other 16.7 1.3 12.2 3.2 2.9
## Total 99.9 100.1 99.9 100.0 100.0
## Count 1362.0 371.0 400.0 250.0 274.0
## COUNTRY
## C1 Ethiopia Fiji Finland France_NON-REP
## Editor in chief 2.9 NaN 3.3 6.2
## Managing editor 1.7 NaN 0.8 2.6
## Desk head or assignment editor 1.7 NaN 6.8 6.6
## Department head 4.0 NaN 3.3 9.3
## Senior editor 9.7 NaN 3.0 41.9
## Producer 20.3 NaN 5.8 0.9
## Reporter 51.1 NaN 14.5 18.1
## News writer 0.9 NaN 57.5 0.0
## Trainee 0.0 NaN 0.3 4.4
## Other 7.7 NaN 4.7 10.1
## Total 100.0 NaN 100.0 100.1
## Count 350.0 0 365.0 227.0
## COUNTRY
## C1 Germany Greece Hong Kong Hungary Iceland
## Editor in chief 6.2 15.8 0.4 9.0 11.3
## Managing editor 14.2 5.4 1.3 3.9 4.3
## Desk head or assignment editor 8.3 1.9 5.5 6.2 6.5
## Department head 10.2 4.4 3.0 3.4 8.6
## Senior editor 47.0 8.3 18.0 5.2 0.0
## Producer 0.8 3.9 0.8 11.9 2.7
## Reporter 2.8 47.9 50.3 13.7 60.8
## News writer 1.8 10.5 1.7 20.1 0.0
## Trainee 1.4 1.0 17.4 18.6 0.5
## Other 7.4 1.0 1.5 8.2 5.4
## Total 100.1 100.1 99.9 100.2 100.1
## Count 775.0 411.0 471.0 388.0 186.0
## COUNTRY
## C1 India Indonesia Ireland Israel Italy
## Editor in chief 4.0 9.4 10.9 5.9 3.8
## Managing editor 3.3 14.8 1.3 4.1 2.0
## Desk head or assignment editor 9.2 1.4 6.9 3.5 9.8
## Department head 8.2 0.5 3.3 2.9 0.0
## Senior editor 8.8 0.5 6.2 9.4 7.8
## Producer 2.9 2.6 3.6 2.9 0.3
## Reporter 33.7 48.4 40.1 54.1 8.8
## News writer 6.5 13.5 8.6 0.9 36.4
## Trainee 4.4 8.0 3.6 0.6 1.3
## Other 19.0 1.1 15.5 15.6 29.8
## Total 100.0 100.2 100.0 99.9 100.0
## Count 522.0 661.0 304.0 340.0 396.0
## COUNTRY
## C1 Japan Kenya Kosovo Latvia Malawi Malaysia
## Editor in chief 0.2 1.8 7.8 11.2 2.7 3.0
## Managing editor 2.3 2.9 1.9 8.8 2.2 1.6
## Desk head or assignment editor 16.0 5.6 8.7 1.8 9.3 10.3
## Department head 31.3 4.7 2.4 12.9 7.1 3.3
## Senior editor 13.5 12.6 1.0 4.4 4.4 9.0
## Producer 1.8 10.6 0.5 3.5 11.5 5.7
## Reporter 33.1 39.1 47.6 8.5 47.8 45.1
## News writer 0.0 7.6 11.2 36.8 2.2 3.0
## Trainee 0.0 7.9 7.8 0.0 0.5 2.7
## Other 1.8 7.1 11.2 12.1 12.1 16.3
## Total 100.0 99.9 100.1 100.0 99.8 100.0
## Count 511.0 340.0 206.0 340.0 182.0 368.0
## COUNTRY
## C1 Mexico Moldova Netherlands New Zealand
## Editor in chief 9.5 4.1 17.5 9.3
## Managing editor 12.2 11.8 10.6 10.9
## Desk head or assignment editor 13.8 3.2 6.0 8.0
## Department head 1.9 4.1 0.0 7.4
## Senior editor 4.0 5.0 0.0 5.9
## Producer 6.1 1.4 1.0 6.9
## Reporter 45.9 41.6 15.4 45.6
## News writer 2.1 7.7 20.7 1.5
## Trainee 0.0 5.0 0.0 0.0
## Other 4.5 16.3 29.0 4.5
## Total 100.0 100.2 100.2 100.0
## Count 377.0 221.0 521.0 539.0
## COUNTRY
## C1 Norway Philippines Poland Portugal Oman
## Editor in chief 4.5 4.6 NaN 9.6 1.6
## Managing editor 4.2 2.3 NaN 9.1 3.1
## Desk head or assignment editor 3.0 4.3 NaN 3.9 6.2
## Department head 1.6 4.9 NaN 6.4 11.7
## Senior editor 0.5 6.4 NaN 6.6 32.3
## Producer 0.0 2.6 NaN 1.7 6.2
## Reporter 66.5 56.1 NaN 30.5 17.1
## News writer 0.0 5.5 NaN 20.9 13.6
## Trainee 1.4 0.0 NaN 0.2 7.0
## Other 18.4 13.3 NaN 11.1 1.2
## Total 100.1 100.0 NaN 100.0 100.0
## Count 642.0 346.0 0 407.0 257.0
## COUNTRY
## C1 Qatar Romania Russia Serbia Sierra Leone
## Editor in chief 2.7 9.7 11.8 8.6 5.4
## Managing editor 2.7 12.6 12.1 10.3 5.4
## Desk head or assignment editor 3.6 3.8 3.8 0.7 3.6
## Department head 1.9 1.2 10.3 4.9 4.5
## Senior editor 16.5 11.7 6.9 24.8 5.4
## Producer 9.2 5.3 6.4 1.0 17.4
## Reporter 30.1 41.1 34.4 15.0 49.1
## News writer 13.6 2.1 9.0 24.1 4.9
## Trainee 2.4 11.7 2.3 0.7 4.0
## Other 17.2 0.9 3.1 9.8 0.4
## Total 99.9 100.1 100.1 99.9 100.1
## Count 412.0 341.0 390.0 407.0 224.0
## COUNTRY
## C1 Singapore_NON-REP South Africa
## Editor in chief 3.2 4.9
## Managing editor 4.2 4.6
## Desk head or assignment editor 4.2 7.9
## Department head 7.4 5.7
## Senior editor 12.6 7.9
## Producer 4.2 5.4
## Reporter 50.5 36.7
## News writer 1.1 6.5
## Trainee 0.0 1.6
## Other 12.6 18.8
## Total 100.0 100.0
## Count 95.0 368.0
## COUNTRY
## C1 South Korea Spain Sudan Sweden
## Editor in chief 0.3 1.8 2.5 6.8
## Managing editor 2.5 7.7 5.1 0.0
## Desk head or assignment editor 4.8 15.4 2.2 13.7
## Department head 14.1 2.3 17.5 0.0
## Senior editor 18.9 5.6 33.1 0.0
## Producer 2.0 0.5 9.8 0.0
## Reporter 55.5 6.4 2.5 63.3
## News writer 1.7 53.1 10.2 0.0
## Trainee 0.0 1.8 12.7 0.0
## Other 0.3 5.4 4.4 16.2
## Total 100.1 100.0 100.0 100.0
## Count 355.0 390.0 275.0 630.0
## COUNTRY
## C1 Switzerland Taiwan Tanzania Thailand
## Editor in chief 8.5 NaN 0.0 5.6
## Managing editor 7.2 NaN 0.0 4.0
## Desk head or assignment editor 3.3 NaN 4.0 9.1
## Department head 8.1 NaN 2.2 2.4
## Senior editor 49.4 NaN 6.6 0.8
## Producer 6.2 NaN 12.1 26.8
## Reporter 6.5 NaN 57.4 22.8
## News writer 2.1 NaN 17.3 21.2
## Trainee 5.1 NaN 0.4 6.2
## Other 3.4 NaN 0.0 1.1
## Total 99.8 NaN 100.0 100.0
## Count 902.0 0 272.0 373.0
## COUNTRY
## C1 Turkey_NON-REP UAE Uganda UK USA
## Editor in chief 12.8 2.3 NaN 14.5 36.0
## Managing editor 1.1 5.1 NaN 7.3 13.5
## Desk head or assignment editor 0.0 7.8 NaN 6.3 7.0
## Department head 0.0 6.9 NaN 5.7 1.9
## Senior editor 0.0 12.4 NaN 15.3 1.4
## Producer 0.0 7.4 NaN 3.2 1.2
## Reporter 34.0 12.4 NaN 22.8 25.8
## News writer 0.0 12.0 NaN 1.4 1.0
## Trainee 0.0 4.6 NaN 0.4 0.0
## Other 52.1 29.0 NaN 23.1 12.1
## Total 100.0 99.9 NaN 100.0 99.9
## Count 94.0 217.0 0 698.0 414.0
## COUNTRY
## C1 Zambia
## Editor in chief NaN
## Managing editor NaN
## Desk head or assignment editor NaN
## Department head NaN
## Senior editor NaN
## Producer NaN
## Reporter NaN
## News writer NaN
## Trainee NaN
## Other NaN
## Total NaN
## Count 0#Which of the following categories best describes your current employment: full-time, part-time, freelancer, or other?#
colPercents(xtabs(~C2+COUNTRY, data=wjsn))## COUNTRY
## C2 Albania Argentina Australia Austria Bangladesh
## Full-time employment 90.5 58.3 88.1 77.0 83.2
## Part-time employment 8.8 31.2 7.9 14.4 13.6
## Freelancer 0.7 10.5 3.0 8.3 2.6
## Other 0.0 0.0 1.0 0.2 0.6
## Total 100.0 100.0 100.0 99.9 100.0
## Count 295.0 362.0 605.0 818.0 345.0
## COUNTRY
## C2 Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## Full-time employment 74.5 82.8 88.6 59.0 NaN NaN
## Part-time employment 6.6 11.5 1.1 35.4 NaN NaN
## Freelancer 18.1 5.7 6.5 5.1 NaN NaN
## Other 0.8 0.0 3.8 0.5 NaN NaN
## Total 100.0 100.0 100.0 100.0 NaN NaN
## Count 592.0 87.0 185.0 376.0 0 0
## COUNTRY
## C2 Canada Chile China Colombia Croatia Cyprus
## Full-time employment 78.1 80.4 98.5 83.2 80.3 92.2
## Part-time employment 3.4 10.0 1.2 11.2 1.3 5.9
## Freelancer 17.0 9.6 0.3 5.6 15.0 2.0
## Other 1.4 0.0 0.0 0.0 3.4 0.0
## Total 99.9 100.0 100.0 100.0 100.0 100.1
## Count 352.0 489.0 652.0 552.0 528.0 204.0
## COUNTRY
## C2 Czech Republic Denmark Ecuador Egypt El Salvador
## Full-time employment 85.6 71.1 70.5 83.8 68.8
## Part-time employment 4.1 5.4 23.6 10.2 26.4
## Freelancer 8.6 20.5 4.9 6.0 4.4
## Other 1.7 3.0 1.1 0.0 0.4
## Total 100.0 100.0 100.1 100.0 100.0
## Count 291.0 1362.0 369.0 400.0 250.0
## COUNTRY
## C2 Estonia Ethiopia Fiji Finland France_NON-REP
## Full-time employment 93.4 93.7 NaN 78.1 78.9
## Part-time employment 4.8 1.7 NaN 3.6 4.8
## Freelancer 1.5 4.3 NaN 17.5 14.1
## Other 0.4 0.3 NaN 0.8 2.2
## Total 100.1 100.0 NaN 100.0 100.0
## Count 273.0 350.0 0 366.0 227.0
## COUNTRY
## C2 Germany Greece Hong Kong Hungary Iceland India
## Full-time employment 74.5 87.9 88.1 61.4 89.8 87.5
## Part-time employment 7.9 12.1 8.3 26.1 4.8 10.0
## Freelancer 17.7 0.0 0.0 9.6 5.3 2.1
## Other 0.0 0.0 3.6 2.9 0.0 0.4
## Total 100.1 100.0 100.0 100.0 99.9 100.0
## Count 775.0 389.0 471.0 376.0 187.0 522.0
## COUNTRY
## C2 Indonesia Ireland Israel Italy Japan Kenya Kosovo
## Full-time employment 69.2 81.5 68.3 62.9 100 80.5 86.4
## Part-time employment 8.2 3.3 11.5 4.8 0 11.1 8.7
## Freelancer 17.2 12.5 12.4 32.3 0 6.9 2.9
## Other 5.4 2.6 7.7 0.0 0 1.5 1.9
## Total 100.0 99.9 99.9 100.0 100 100.0 99.9
## Count 662.0 303.0 338.0 396.0 747 334.0 206.0
## COUNTRY
## C2 Latvia Malawi Malaysia Mexico Moldova Netherlands
## Full-time employment 87.1 84.1 92.1 83.5 86.4 41.7
## Part-time employment 4.4 7.7 4.1 10.4 11.3 16.9
## Freelancer 8.2 1.1 0.8 5.6 2.3 36.9
## Other 0.3 7.1 3.0 0.5 0.0 4.6
## Total 100.0 100.0 100.0 100.0 100.0 100.1
## Count 340.0 182.0 365.0 376.0 221.0 521.0
## COUNTRY
## C2 New Zealand Norway Philippines Poland Portugal
## Full-time employment 87.0 72.6 87.1 NaN 91.6
## Part-time employment 6.1 4.7 3.5 NaN 0.2
## Freelancer 6.3 18.8 6.7 NaN 6.6
## Other 0.6 3.9 2.6 NaN 1.5
## Total 100.0 100.0 99.9 NaN 99.9
## Count 539.0 643.0 341.0 0 407.0
## COUNTRY
## C2 Oman Qatar Romania Russia Serbia Sierra Leone
## Full-time employment 55.3 63.1 87.4 77.2 91.2 65.2
## Part-time employment 25.7 21.6 11.1 14.9 2.5 20.5
## Freelancer 17.1 13.1 1.5 7.9 6.1 10.3
## Other 1.9 2.2 0.0 0.0 0.2 4.0
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 257.0 412.0 341.0 390.0 407.0 224.0
## COUNTRY
## C2 Singapore_NON-REP South Africa South Korea Spain
## Full-time employment 98.9 79.7 96.9 85.6
## Part-time employment 0.0 4.9 2.8 5.1
## Freelancer 1.1 13.8 0.3 9.2
## Other 0.0 1.6 0.0 0.0
## Total 100.0 100.0 100.0 99.9
## Count 95.0 370.0 355.0 390.0
## COUNTRY
## C2 Sudan Sweden Switzerland Taiwan Tanzania Thailand
## Full-time employment 81.5 74.4 57.1 NaN 72.8 66.5
## Part-time employment 6.2 7.3 35.2 NaN 16.2 13.7
## Freelancer 12.3 17.0 7.7 NaN 11.0 18.2
## Other 0.0 1.4 0.0 NaN 0.0 1.6
## Total 100.0 100.1 100.0 NaN 100.0 100.0
## Count 276.0 589.0 909.0 0 272.0 373.0
## COUNTRY
## C2 Turkey_NON-REP UAE Uganda UK USA Zambia
## Full-time employment 91.5 88.7 NaN 74.0 98.8 NaN
## Part-time employment 1.1 8.6 NaN 6.9 0.2 NaN
## Freelancer 6.4 1.8 NaN 16.6 0.7 NaN
## Other 1.1 0.9 NaN 2.6 0.2 NaN
## Total 100.1 100.0 NaN 100.1 99.9 NaN
## Count 94.0 221.0 0 700.0 414.0 0#For how many newsrooms do you work at present? Different news outlets produced by the same newsroom count as one.#
colPercents(xtabs(~C3+COUNTRY, data=wjsn))## COUNTRY
## C3 Albania Argentina Australia Austria Bangladesh Belgium Bhutan
## 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 1 81.4 56.8 88.6 89.5 76.3 76.5 77.5
## 2 15.9 27.4 5.0 6.6 16.9 12.5 7.0
## 3 2.1 8.6 1.7 1.8 3.8 4.7 14.1
## 4 0.7 3.4 1.8 1.1 1.8 2.6 1.4
## 5 0.0 3.0 1.0 0.2 0.9 1.2 0.0
## 6 0.0 0.8 0.8 0.4 0.3 0.7 0.0
## 7 0.0 0.0 0.3 0.0 0.0 0.7 0.0
## 8 0.0 0.0 0.5 0.1 0.0 0.2 0.0
## 9 0.0 0.0 0.0 0.0 0.0 0.4 0.0
## 10 0.0 0.0 0.2 0.1 0.0 0.4 0.0
## 12 0.0 0.0 0.2 0.1 0.0 0.0 0.0
## 13 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 14 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 15 0.0 0.0 0.0 0.0 0.0 0.2 0.0
## 17 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 18 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 20 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 21 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 23 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 25 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 29 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 30 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 37 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 40 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## Total 100.1 100.0 100.1 99.9 100.0 100.1 100.0
## Count 290.0 266.0 603.0 818.0 338.0 570.0 71.0
## COUNTRY
## C3 Botswana Brazil Bulgaria Cameroon Canada Chile China Colombia
## 0 0.0 0.0 NaN NaN 0.7 0.0 0.0 0.0
## 1 93.8 85.4 NaN NaN 65.7 76.8 98.8 83.7
## 2 2.8 10.9 NaN NaN 12.1 15.4 0.9 13.2
## 3 2.2 2.9 NaN NaN 10.7 5.6 0.3 2.7
## 4 0.6 0.8 NaN NaN 2.9 0.4 0.0 0.2
## 5 0.6 0.0 NaN NaN 2.9 0.6 0.0 0.2
## 6 0.0 0.0 NaN NaN 1.4 0.4 0.0 0.0
## 7 0.0 0.0 NaN NaN 1.4 0.2 0.0 0.0
## 8 0.0 0.0 NaN NaN 1.4 0.0 0.0 0.0
## 9 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 10 0.0 0.0 NaN NaN 0.0 0.4 0.0 0.0
## 12 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 13 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 14 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 15 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 17 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 18 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 20 0.0 0.0 NaN NaN 0.7 0.0 0.0 0.0
## 21 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 23 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 25 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 29 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 30 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 37 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## 40 0.0 0.0 NaN NaN 0.0 0.0 0.0 0.0
## Total 100.0 100.0 NaN NaN 99.9 99.8 100.0 100.0
## Count 178.0 376.0 0 0 140.0 479.0 648.0 546.0
## COUNTRY
## C3 Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador
## 0 0.0 0.0 0.0 2.7 0.0 0 0.0
## 1 70.0 87.9 82.9 18.0 80.6 50 80.7
## 2 16.4 11.6 13.6 20.7 14.0 50 13.3
## 3 7.8 0.0 1.8 21.3 3.7 0 4.4
## 4 2.9 0.5 1.4 10.0 1.4 0 1.2
## 5 1.2 0.0 0.4 12.7 0.0 0 0.4
## 6 0.4 0.0 0.0 2.7 0.0 0 0.0
## 7 0.6 0.0 0.0 3.3 0.0 0 0.0
## 8 0.0 0.0 0.0 2.0 0.0 0 0.0
## 9 0.0 0.0 0.0 0.7 0.0 0 0.0
## 10 0.0 0.0 0.0 4.0 0.3 0 0.0
## 12 0.0 0.0 0.0 0.0 0.0 0 0.0
## 13 0.0 0.0 0.0 0.0 0.0 0 0.0
## 14 0.0 0.0 0.0 0.0 0.0 0 0.0
## 15 0.0 0.0 0.0 0.7 0.0 0 0.0
## 17 0.2 0.0 0.0 0.0 0.0 0 0.0
## 18 0.0 0.0 0.0 0.0 0.0 0 0.0
## 20 0.0 0.0 0.0 0.0 0.0 0 0.0
## 21 0.2 0.0 0.0 0.0 0.0 0 0.0
## 23 0.2 0.0 0.0 0.0 0.0 0 0.0
## 25 0.0 0.0 0.0 1.3 0.0 0 0.0
## 29 0.0 0.0 0.0 0.0 0.0 0 0.0
## 30 0.0 0.0 0.0 0.0 0.0 0 0.0
## 37 0.0 0.0 0.0 0.0 0.0 0 0.0
## 40 0.0 0.0 0.0 0.0 0.0 0 0.0
## Total 99.9 100.0 100.1 100.1 100.0 100 100.0
## Count 487.0 199.0 280.0 150.0 351.0 400 249.0
## COUNTRY
## C3 Estonia Ethiopia Fiji Finland France_NON-REP Germany Greece
## 0 0.0 0.0 NaN 0.0 0.0 0.0 0.0
## 1 58.5 97.4 NaN 83.0 77.6 67.8 72.3
## 2 19.6 2.6 NaN 4.4 9.2 14.1 20.7
## 3 11.5 0.0 NaN 1.4 7.0 8.6 5.6
## 4 2.6 0.0 NaN 1.6 1.8 5.3 1.0
## 5 4.8 0.0 NaN 3.8 2.2 2.3 0.2
## 6 1.1 0.0 NaN 0.3 0.4 0.6 0.0
## 7 1.1 0.0 NaN 0.8 0.4 0.1 0.2
## 8 0.4 0.0 NaN 1.1 0.0 0.4 0.0
## 9 0.0 0.0 NaN 0.3 0.0 0.1 0.0
## 10 0.4 0.0 NaN 2.2 0.4 0.4 0.0
## 12 0.0 0.0 NaN 0.3 0.0 0.0 0.0
## 13 0.0 0.0 NaN 0.3 0.4 0.0 0.0
## 14 0.0 0.0 NaN 0.0 0.0 0.0 0.0
## 15 0.0 0.0 NaN 0.5 0.4 0.0 0.0
## 17 0.0 0.0 NaN 0.0 0.0 0.0 0.0
## 18 0.0 0.0 NaN 0.0 0.0 0.0 0.0
## 20 0.0 0.0 NaN 0.0 0.0 0.1 0.0
## 21 0.0 0.0 NaN 0.0 0.0 0.0 0.0
## 23 0.0 0.0 NaN 0.0 0.0 0.0 0.0
## 25 0.0 0.0 NaN 0.0 0.0 0.0 0.0
## 29 0.0 0.0 NaN 0.0 0.0 0.0 0.0
## 30 0.0 0.0 NaN 0.0 0.0 0.0 0.0
## 37 0.0 0.0 NaN 0.0 0.0 0.0 0.0
## 40 0.0 0.0 NaN 0.0 0.0 0.0 0.0
## Total 100.0 100.0 NaN 100.0 99.8 99.8 100.0
## Count 270.0 340.0 0 364.0 228.0 771.0 411.0
## COUNTRY
## C3 Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy
## 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 1 95.8 84.5 75.1 90.3 84.1 86.0 80.5 56.8
## 2 3.3 11.4 17.8 4.4 15.9 9.6 12.0 31.1
## 3 0.4 2.5 5.9 2.1 0.0 2.4 4.5 8.8
## 4 0.2 0.6 1.1 1.6 0.0 1.0 1.2 2.5
## 5 0.0 0.9 0.0 1.4 0.0 1.0 0.3 0.8
## 6 0.2 0.0 0.0 0.2 0.0 0.0 0.6 0.0
## 7 0.0 0.0 0.0 0.0 0.0 0.0 0.3 0.0
## 8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 9 0.0 0.0 0.0 0.0 0.0 0.0 0.3 0.0
## 10 0.0 0.0 0.0 0.0 0.0 0.0 0.3 0.0
## 12 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 13 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 14 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 15 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 17 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 18 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 20 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 21 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 23 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 25 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 29 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 30 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 37 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 40 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## Total 99.9 99.9 99.9 100.0 100.0 100.0 100.0 100.0
## Count 456.0 317.0 185.0 433.0 655.0 293.0 334.0 396.0
## COUNTRY
## C3 Japan Kenya Kosovo Latvia Malawi Malaysia Mexico Moldova
## 0 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 1 NaN 88.1 92.5 78.5 92.5 85.3 30.5 76
## 2 NaN 5.0 7.0 15.9 4.5 8.6 33.7 24
## 3 NaN 3.1 0.5 5.3 3.0 2.5 24.6 0
## 4 NaN 1.9 0.0 0.3 0.0 0.4 8.0 0
## 5 NaN 0.9 0.0 0.0 0.0 0.4 2.1 0
## 6 NaN 0.9 0.0 0.0 0.0 0.4 0.8 0
## 7 NaN 0.0 0.0 0.0 0.0 0.7 0.3 0
## 8 NaN 0.0 0.0 0.0 0.0 1.1 0.0 0
## 9 NaN 0.0 0.0 0.0 0.0 0.4 0.0 0
## 10 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 12 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 13 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 14 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 15 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 17 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 18 NaN 0.0 0.0 0.0 0.0 0.4 0.0 0
## 20 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 21 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 23 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 25 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 29 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 30 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 37 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## 40 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0
## Total NaN 99.9 100.0 100.0 100.0 100.2 100.0 100
## Count 0 319.0 199.0 340.0 134.0 279.0 374.0 221
## COUNTRY
## C3 Netherlands New Zealand Norway Philippines Poland Portugal Oman
## 0 0.0 0.0 0.0 0.0 NaN 0.0 0.0
## 1 22.9 88.0 88.1 84.8 NaN 87.2 54.9
## 2 16.0 7.1 4.8 8.4 NaN 7.9 45.1
## 3 20.7 2.8 3.4 3.3 NaN 3.7 0.0
## 4 14.9 0.6 1.1 2.1 NaN 0.5 0.0
## 5 11.7 0.4 1.1 0.6 NaN 0.0 0.0
## 6 2.1 0.0 0.5 0.0 NaN 0.7 0.0
## 7 5.3 0.6 0.3 0.3 NaN 0.0 0.0
## 8 1.6 0.2 0.2 0.3 NaN 0.0 0.0
## 9 2.1 0.0 0.0 0.0 NaN 0.0 0.0
## 10 2.1 0.2 0.6 0.0 NaN 0.0 0.0
## 12 0.0 0.0 0.0 0.0 NaN 0.0 0.0
## 13 0.0 0.0 0.0 0.0 NaN 0.0 0.0
## 14 0.0 0.0 0.0 0.0 NaN 0.0 0.0
## 15 0.5 0.0 0.0 0.0 NaN 0.0 0.0
## 17 0.0 0.0 0.0 0.0 NaN 0.0 0.0
## 18 0.0 0.0 0.0 0.0 NaN 0.0 0.0
## 20 0.0 0.0 0.0 0.0 NaN 0.0 0.0
## 21 0.0 0.0 0.0 0.0 NaN 0.0 0.0
## 23 0.0 0.0 0.0 0.0 NaN 0.0 0.0
## 25 0.0 0.0 0.0 0.0 NaN 0.0 0.0
## 29 0.0 0.2 0.0 0.0 NaN 0.0 0.0
## 30 0.0 0.0 0.0 0.3 NaN 0.0 0.0
## 37 0.0 0.0 0.0 0.0 NaN 0.0 0.0
## 40 0.0 0.0 0.0 0.0 NaN 0.0 0.0
## Total 99.9 100.1 100.1 100.1 NaN 100.0 100.0
## Count 188.0 535.0 649.0 335.0 0 406.0 257.0
## COUNTRY
## C3 Qatar Romania Russia Serbia Sierra Leone Singapore_NON-REP
## 0 NaN 0.0 0.0 0.0 0.0 0.0
## 1 NaN 79.7 70.3 79.0 85.7 87.4
## 2 NaN 16.5 19.5 15.2 10.8 7.4
## 3 NaN 2.6 5.6 3.8 3.6 4.2
## 4 NaN 0.6 3.3 1.3 0.0 1.1
## 5 NaN 0.6 0.3 0.5 0.0 0.0
## 6 NaN 0.0 0.5 0.3 0.0 0.0
## 7 NaN 0.0 0.0 0.0 0.0 0.0
## 8 NaN 0.0 0.0 0.0 0.0 0.0
## 9 NaN 0.0 0.0 0.0 0.0 0.0
## 10 NaN 0.0 0.0 0.0 0.0 0.0
## 12 NaN 0.0 0.0 0.0 0.0 0.0
## 13 NaN 0.0 0.0 0.0 0.0 0.0
## 14 NaN 0.0 0.0 0.0 0.0 0.0
## 15 NaN 0.0 0.0 0.0 0.0 0.0
## 17 NaN 0.0 0.0 0.0 0.0 0.0
## 18 NaN 0.0 0.0 0.0 0.0 0.0
## 20 NaN 0.0 0.0 0.0 0.0 0.0
## 21 NaN 0.0 0.0 0.0 0.0 0.0
## 23 NaN 0.0 0.0 0.0 0.0 0.0
## 25 NaN 0.0 0.0 0.0 0.0 0.0
## 29 NaN 0.0 0.0 0.0 0.0 0.0
## 30 NaN 0.0 0.3 0.0 0.0 0.0
## 37 NaN 0.0 0.3 0.0 0.0 0.0
## 40 NaN 0.0 0.0 0.0 0.0 0.0
## Total NaN 100.0 100.1 100.1 100.1 100.1
## Count 0 340.0 390.0 395.0 223.0 95.0
## COUNTRY
## C3 South Africa South Korea Spain Sudan Sweden Switzerland Taiwan
## 0 0.8 0.0 0.0 0 0.0 0.0 NaN
## 1 74.9 94.1 79.9 100 13.3 83.4 NaN
## 2 12.7 3.4 13.6 0 13.3 9.2 NaN
## 3 4.0 2.3 3.9 0 28.9 4.4 NaN
## 4 2.7 0.3 1.3 0 10.8 1.3 NaN
## 5 1.9 0.0 0.5 0 9.6 0.7 NaN
## 6 1.1 0.0 0.8 0 4.8 0.3 NaN
## 7 0.5 0.0 0.0 0 6.0 0.3 NaN
## 8 0.0 0.0 0.0 0 3.6 0.1 NaN
## 9 0.3 0.0 0.0 0 1.2 0.0 NaN
## 10 0.5 0.0 0.0 0 6.0 0.2 NaN
## 12 0.0 0.0 0.0 0 0.0 0.0 NaN
## 13 0.3 0.0 0.0 0 0.0 0.0 NaN
## 14 0.3 0.0 0.0 0 0.0 0.0 NaN
## 15 0.0 0.0 0.0 0 0.0 0.0 NaN
## 17 0.0 0.0 0.0 0 0.0 0.0 NaN
## 18 0.0 0.0 0.0 0 0.0 0.0 NaN
## 20 0.0 0.0 0.0 0 1.2 0.0 NaN
## 21 0.0 0.0 0.0 0 0.0 0.0 NaN
## 23 0.0 0.0 0.0 0 0.0 0.0 NaN
## 25 0.0 0.0 0.0 0 0.0 0.0 NaN
## 29 0.0 0.0 0.0 0 0.0 0.0 NaN
## 30 0.0 0.0 0.0 0 0.0 0.0 NaN
## 37 0.0 0.0 0.0 0 0.0 0.0 NaN
## 40 0.0 0.0 0.0 0 1.2 0.0 NaN
## Total 100.0 100.1 100.0 100 99.9 99.9 NaN
## Count 371.0 355.0 389.0 245 83.0 905.0 0
## COUNTRY
## C3 Tanzania Thailand Turkey_NON-REP UAE Uganda UK USA Zambia
## 0 0.0 0.0 0.0 0.0 NaN 2.1 0.0 NaN
## 1 91.1 70.8 27.3 81.0 NaN 77.2 99.5 NaN
## 2 7.4 11.0 45.5 9.2 NaN 10.0 0.2 NaN
## 3 1.1 8.5 18.2 3.9 NaN 4.3 0.2 NaN
## 4 0.4 1.8 5.2 2.0 NaN 2.8 0.0 NaN
## 5 0.0 5.0 1.3 3.3 NaN 1.6 0.0 NaN
## 6 0.0 0.7 1.3 0.7 NaN 0.7 0.0 NaN
## 7 0.0 1.8 0.0 0.0 NaN 0.1 0.0 NaN
## 8 0.0 0.0 0.0 0.0 NaN 0.1 0.0 NaN
## 9 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## 10 0.0 0.4 1.3 0.0 NaN 0.4 0.0 NaN
## 12 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## 13 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## 14 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## 15 0.0 0.0 0.0 0.0 NaN 0.3 0.0 NaN
## 17 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## 18 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## 20 0.0 0.0 0.0 0.0 NaN 0.1 0.0 NaN
## 21 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## 23 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## 25 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## 29 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## 30 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## 37 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## 40 0.0 0.0 0.0 0.0 NaN 0.0 0.0 NaN
## Total 100.0 100.0 100.1 100.1 NaN 99.7 99.9 NaN
## Count 270.0 281.0 77.0 153.0 0 672.0 414.0 0#Besides working as a journalist, do you engage in any other paid activities?#
colPercents(xtabs(~C4+COUNTRY, data=wjsn))## COUNTRY
## C4 Albania Argentina Australia Austria Bangladesh Belgium Bhutan
## Yes 19.2 41.3 18.7 20.2 11.9 24.7 5
## No 80.8 58.7 81.3 79.8 88.1 75.3 95
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100
## Count 292.0 351.0 605.0 799.0 344.0 590.0 80
## COUNTRY
## C4 Botswana Brazil Bulgaria Cameroon Canada Chile China Colombia
## Yes 16.3 23.3 NaN NaN 29.3 28.5 8.3 27.4
## No 83.7 76.7 NaN NaN 70.7 71.5 91.7 72.6
## Total 100.0 100.0 NaN NaN 100.0 100.0 100.0 100.0
## Count 184.0 373.0 0 0 351.0 485.0 651.0 554.0
## COUNTRY
## C4 Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador
## Yes 21 11.8 23.3 17.5 32 30 32.5
## No 79 88.2 76.7 82.5 68 70 67.5
## Total 100 100.0 100.0 100.0 100 100 100.0
## Count 510 204.0 288.0 1356.0 362 400 249.0
## COUNTRY
## C4 Estonia Ethiopia Fiji Finland France_NON-REP Germany Greece
## Yes 18 15.3 NaN 13.2 18.9 17.2 22.5
## No 82 84.7 NaN 86.8 81.1 82.8 77.5
## Total 100 100.0 NaN 100.0 100.0 100.0 100.0
## Count 272 347.0 0 365.0 228.0 769.0 409.0
## COUNTRY
## C4 Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy
## Yes 13.9 39.3 23.2 11.6 37.5 19.6 36.6 27.5
## No 86.1 60.7 76.8 88.4 62.5 80.4 63.4 72.5
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
## Count 469.0 377.0 185.0 518.0 661.0 301.0 336.0 396.0
## COUNTRY
## C4 Japan Kenya Kosovo Latvia Malawi Malaysia Mexico Moldova
## Yes 2 46.8 15.2 17.4 30.4 16.9 34.8 33
## No 98 53.2 84.8 82.6 69.6 83.1 65.2 67
## Total 100 100.0 100.0 100.0 100.0 100.0 100.0 100
## Count 715 329.0 204.0 339.0 181.0 344.0 374.0 218
## COUNTRY
## C4 Netherlands New Zealand Norway Philippines Poland Portugal Oman
## Yes 32.7 23.8 25.9 38.3 NaN 11.9 40.9
## No 67.3 76.2 74.1 61.7 NaN 88.1 59.1
## Total 100.0 100.0 100.0 100.0 NaN 100.0 100.0
## Count 520.0 538.0 652.0 345.0 0 402.0 257.0
## COUNTRY
## C4 Qatar Romania Russia Serbia Sierra Leone Singapore_NON-REP
## Yes 28.8 27.6 34.4 17.9 22.1 3.2
## No 71.2 72.4 65.6 82.1 77.9 96.8
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 358.0 341.0 390.0 407.0 217.0 95.0
## COUNTRY
## C4 South Africa South Korea Spain Sudan Sweden Switzerland Taiwan
## Yes 29.6 4.5 12.8 26.6 12.6 21.3 NaN
## No 70.4 95.5 87.2 73.4 87.4 78.7 NaN
## Total 100.0 100.0 100.0 100.0 100.0 100.0 NaN
## Count 371.0 355.0 390.0 274.0 589.0 902.0 0
## COUNTRY
## C4 Tanzania Thailand Turkey_NON-REP UAE Uganda UK USA Zambia
## Yes 31.6 39.7 11.6 16.5 NaN 26.7 14.3 NaN
## No 68.4 60.3 88.4 83.5 NaN 73.3 85.7 NaN
## Total 100.0 100.0 100.0 100.0 NaN 100.0 100.0 NaN
## Count 272.0 365.0 95.0 218.0 0 692.0 412.0 0#Do you belong to any organizations or associations that are primarily for people in journalism or the communications field??#
colPercents(xtabs(~C5+COUNTRY, data=wjsn))## COUNTRY
## C5 Albania Argentina Australia Austria Bangladesh Belgium Bhutan
## Yes 36.1 36.2 47.8 49.4 65.5 62.3 27.9
## No 63.9 63.8 52.2 50.6 34.5 37.7 72.1
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0
## Count 291.0 359.0 604.0 805.0 339.0 589.0 86.0
## COUNTRY
## C5 Botswana Brazil Bulgaria Cameroon Canada Chile China Colombia
## Yes 38.7 40.8 NaN NaN 56.4 23.7 14.5 27.8
## No 61.3 59.2 NaN NaN 43.6 76.3 85.5 72.2
## Total 100.0 100.0 NaN NaN 100.0 100.0 100.0 100.0
## Count 186.0 373.0 0 0 351.0 485.0 650.0 554.0
## COUNTRY
## C5 Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador
## Yes 46.5 52.7 7.3 100 22.1 54.2 30.7
## No 53.5 47.3 92.7 0 77.9 45.8 69.3
## Total 100.0 100.0 100.0 100 100.0 100.0 100.0
## Count 419.0 203.0 289.0 1362 367.0 400.0 244.0
## COUNTRY
## C5 Estonia Ethiopia Fiji Finland France_NON-REP Germany Greece
## Yes 24.3 16.3 NaN 91.3 27.7 53.4 71.6
## No 75.7 83.7 NaN 8.7 72.3 46.6 28.4
## Total 100.0 100.0 NaN 100.0 100.0 100.0 100.0
## Count 272.0 350.0 0 366.0 224.0 771.0 408.0
## COUNTRY
## C5 Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy
## Yes 19.4 23.5 82.7 36.3 69.5 64.7 50.5 100
## No 80.6 76.5 17.3 63.7 30.5 35.3 49.5 0
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100
## Count 470.0 375.0 185.0 509.0 660.0 300.0 331.0 393
## COUNTRY
## C5 Japan Kenya Kosovo Latvia Malawi Malaysia Mexico Moldova
## Yes 3.8 63 46.6 26.6 76.4 51.9 25.2 29.2
## No 96.2 37 53.4 73.4 23.6 48.1 74.8 70.8
## Total 100.0 100 100.0 100.0 100.0 100.0 100.0 100.0
## Count 707.0 330 206.0 338.0 182.0 343.0 377.0 219.0
## COUNTRY
## C5 Netherlands New Zealand Norway Philippines Poland Portugal Oman
## Yes 34.5 33.5 100 62.1 NaN 39 59.1
## No 65.5 66.5 0 37.9 NaN 61 40.9
## Total 100.0 100.0 100 100.0 NaN 100 100.0
## Count 522.0 531.0 656 346.0 0 403 257.0
## COUNTRY
## C5 Qatar Romania Russia Serbia Sierra Leone Singapore_NON-REP
## Yes 23.2 22 20.1 43 79.2 34
## No 76.8 78 79.9 57 20.8 66
## Total 100.0 100 100.0 100 100.0 100
## Count 380.0 341 389.0 407 221.0 94
## COUNTRY
## C5 South Africa South Korea Spain Sudan Sweden Switzerland Taiwan
## Yes 43.5 87.8 41.1 78.5 68.9 56.8 NaN
## No 56.5 12.2 58.9 21.5 31.1 43.2 NaN
## Total 100.0 100.0 100.0 100.0 100.0 100.0 NaN
## Count 368.0 353.0 389.0 275.0 589.0 903.0 0
## COUNTRY
## C5 Tanzania Thailand Turkey_NON-REP UAE Uganda UK USA Zambia
## Yes 89.3 45.3 31.6 43.5 NaN 43.8 52.2 NaN
## No 10.7 54.7 68.4 56.5 NaN 56.2 47.8 NaN
## Total 100.0 100.0 100.0 100.0 NaN 100.0 100.0 NaN
## Count 272.0 373.0 95.0 214.0 0 698.0 414.0 0#Do you usually work on or supervise a specific beat or subject area (such as politics, economy or sports), or do you usually work on or supervise various types of stories?#
colPercents(xtabs(~C6+COUNTRY, data=wjsn))## COUNTRY
## C6 Albania Argentina Australia Austria
## Work on a specific beat 46.4 38.5 32.9 61.1
## Work on various topic and subjects 53.6 61.5 67.1 38.9
## Total 100.0 100.0 100.0 100.0
## Count 295.0 348.0 605.0 813.0
## COUNTRY
## C6 Bangladesh Belgium Bhutan Botswana
## Work on a specific beat 16.1 48.6 22.2 25.8
## Work on various topic and subjects 83.9 51.4 77.8 74.2
## Total 100.0 100.0 100.0 100.0
## Count 322.0 590.0 90.0 178.0
## COUNTRY
## C6 Brazil Bulgaria Cameroon Canada Chile
## Work on a specific beat 55.1 NaN NaN 50.3 40.6
## Work on various topic and subjects 44.9 NaN NaN 49.7 59.4
## Total 100.0 NaN NaN 100.0 100.0
## Count 372.0 0 0 346.0 490.0
## COUNTRY
## C6 China Colombia Croatia Cyprus
## Work on a specific beat 44.8 47.9 14.7 42.2
## Work on various topic and subjects 55.2 52.1 85.3 57.8
## Total 100.0 100.0 100.0 100.0
## Count 634.0 560.0 442.0 204.0
## COUNTRY
## C6 Czech Republic Denmark Ecuador Egypt
## Work on a specific beat 19.2 40.8 44.1 50.7
## Work on various topic and subjects 80.8 59.2 55.9 49.2
## Total 100.0 100.0 100.0 99.9
## Count 291.0 1359.0 365.0 400.0
## COUNTRY
## C6 El Salvador Estonia Ethiopia Fiji
## Work on a specific beat 28.4 24.1 24.9 NaN
## Work on various topic and subjects 71.6 75.9 75.1 NaN
## Total 100.0 100.0 100.0 NaN
## Count 250.0 270.0 350.0 0
## COUNTRY
## C6 Finland France_NON-REP Germany Greece
## Work on a specific beat 47.9 24.4 59.9 53.1
## Work on various topic and subjects 52.1 75.6 40.1 46.9
## Total 100.0 100.0 100.0 100.0
## Count 365.0 225.0 775.0 403.0
## COUNTRY
## C6 Hong Kong Hungary Iceland India
## Work on a specific beat 51.1 35.8 29.6 42.1
## Work on various topic and subjects 48.9 64.2 70.4 57.9
## Total 100.0 100.0 100.0 100.0
## Count 456.0 385.0 186.0 508.0
## COUNTRY
## C6 Indonesia Ireland Israel Italy Japan
## Work on a specific beat 33.4 63.5 65 32.3 52.7
## Work on various topic and subjects 66.6 36.5 35 67.7 47.3
## Total 100.0 100.0 100 100.0 100.0
## Count 661.0 288.0 337 396.0 535.0
## COUNTRY
## C6 Kenya Kosovo Latvia Malawi Malaysia
## Work on a specific beat 36.1 39.4 25.3 20.6 32.2
## Work on various topic and subjects 63.9 60.6 74.7 79.4 67.8
## Total 100.0 100.0 100.0 100.0 100.0
## Count 335.0 203.0 340.0 170.0 357.0
## COUNTRY
## C6 Mexico Moldova Netherlands
## Work on a specific beat 21.5 37.1 60.9
## Work on various topic and subjects 78.5 62.9 39.1
## Total 100.0 100.0 100.0
## Count 376.0 221.0 522.0
## COUNTRY
## C6 New Zealand Norway Philippines Poland
## Work on a specific beat 37.8 37 46.4 NaN
## Work on various topic and subjects 62.2 63 53.6 NaN
## Total 100.0 100 100.0 NaN
## Count 537.0 652 345.0 0
## COUNTRY
## C6 Portugal Oman Qatar Romania Russia
## Work on a specific beat 45.7 47.8 66.3 23.8 43.1
## Work on various topic and subjects 54.3 52.2 33.7 76.2 56.9
## Total 100.0 100.0 100.0 100.0 100.0
## Count 403.0 255.0 380.0 341.0 390.0
## COUNTRY
## C6 Serbia Sierra Leone Singapore_NON-REP
## Work on a specific beat 35.4 29 44.2
## Work on various topic and subjects 64.6 71 55.8
## Total 100.0 100 100.0
## Count 404.0 217 95.0
## COUNTRY
## C6 South Africa South Korea Spain Sudan
## Work on a specific beat 24 90.7 32.8 62
## Work on various topic and subjects 76 9.3 67.2 38
## Total 100 100.0 100.0 100
## Count 371 354.0 390.0 276
## COUNTRY
## C6 Sweden Switzerland Taiwan Tanzania
## Work on a specific beat 65.9 47.8 NaN 10.7
## Work on various topic and subjects 34.1 52.2 NaN 89.3
## Total 100.0 100.0 NaN 100.0
## Count 675.0 901.0 0 272.0
## COUNTRY
## C6 Thailand Turkey_NON-REP UAE Uganda
## Work on a specific beat 28.2 49.5 52.4 NaN
## Work on various topic and subjects 71.8 50.5 47.6 NaN
## Total 100.0 100.0 100.0 NaN
## Count 369.0 95.0 229.0 0
## COUNTRY
## C6 UK USA Zambia
## Work on a specific beat 52.9 20.7 NaN
## Work on various topic and subjects 47.1 79.3 NaN
## Total 100.0 100.0 NaN
## Count 697.0 405.0 0#Which beat or area do you primarily supervise or work on? #
colPercents(xtabs(~C7+COUNTRY, data=wjsn))## COUNTRY
## C7 Albania Argentina Australia Austria Bangladesh
## News/current affairs 9.5 23.4 2.5 6.7 15.2
## Politics 21.9 8.1 8.6 11.1 10.9
## Foreign politics 8.0 3.2 1.0 8.0 4.3
## Domestic politics 5.8 13.7 4.0 5.5 2.2
## Economy 12.4 5.6 6.1 10.3 13.0
## Crime & law 10.9 4.8 13.6 1.9 13.0
## Culture 11.7 7.3 3.5 18.7 4.3
## Sports 7.3 15.3 11.6 11.5 8.7
## Health 8.0 2.4 6.6 1.5 4.3
## Entertainment 2.2 2.4 9.1 1.0 4.3
## Other 2.2 13.7 33.3 23.9 19.6
## Total 99.9 99.9 99.9 100.1 99.8
## Count 137.0 124.0 198.0 477.0 46.0
## COUNTRY
## C7 Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## News/current affairs 3.8 30 0.0 31.5 NaN NaN
## Politics 7.0 10 15.2 7.0 NaN NaN
## Foreign politics 8.0 0 0.0 1.0 NaN NaN
## Domestic politics 5.6 20 0.0 3.0 NaN NaN
## Economy 12.2 25 17.4 10.0 NaN NaN
## Crime & law 2.8 5 4.3 1.5 NaN NaN
## Culture 11.5 0 2.2 14.0 NaN NaN
## Sports 27.6 10 28.3 13.0 NaN NaN
## Health 3.5 0 2.2 2.5 NaN NaN
## Entertainment 3.1 0 4.3 2.5 NaN NaN
## Other 14.7 0 26.1 14.0 NaN NaN
## Total 99.8 100 100.0 100.0 NaN NaN
## Count 286.0 20 46.0 200.0 0 0
## COUNTRY
## C7 Canada Chile China Colombia Croatia Cyprus
## News/current affairs 2.9 28.3 28.6 6.4 0.0 25.6
## Politics 5.7 0.0 6.8 0.0 7.7 23.3
## Foreign politics 2.3 4.0 3.9 9.1 3.8 3.5
## Domestic politics 1.1 3.5 1.0 8.3 3.8 3.5
## Economy 6.9 21.2 15.5 13.3 15.4 11.6
## Crime & law 8.6 1.5 3.4 8.3 1.9 5.8
## Culture 5.7 12.1 12.1 16.3 21.2 3.5
## Sports 6.9 12.1 7.3 13.3 30.8 14.0
## Health 2.9 2.0 9.2 3.4 1.9 0.0
## Entertainment 4.6 15.2 0.0 11.0 9.6 1.2
## Other 52.3 0.0 12.1 10.6 3.8 8.1
## Total 99.9 99.9 99.9 100.0 99.9 100.1
## Count 174.0 198.0 206.0 264.0 52.0 86.0
## COUNTRY
## C7 Czech Republic Denmark Ecuador Egypt El Salvador
## News/current affairs 20.4 3.6 29.5 39.9 22.9
## Politics 7.4 10.5 2.6 8.4 8.6
## Foreign politics 7.4 7.0 1.3 14.3 1.4
## Domestic politics 7.4 8.3 10.9 5.9 7.1
## Economy 9.3 9.7 0.6 4.9 8.6
## Crime & law 5.6 2.5 2.6 9.9 12.9
## Culture 11.1 11.7 8.3 5.9 8.6
## Sports 11.1 8.5 23.1 1.5 11.4
## Health 1.9 7.2 2.6 9.4 2.9
## Entertainment 0.0 3.2 13.5 0.0 8.6
## Other 18.5 27.7 5.1 0.0 7.1
## Total 100.1 99.9 100.1 100.1 100.1
## Count 54.0 555.0 156.0 203.0 70.0
## COUNTRY
## C7 Estonia Ethiopia Fiji Finland France_NON-REP
## News/current affairs 3.4 17.2 NaN 23.4 0.0
## Politics 5.1 3.4 NaN 9.7 3.7
## Foreign politics 1.7 1.1 NaN 1.7 5.6
## Domestic politics 1.7 0.0 NaN 0.6 0.0
## Economy 22.0 9.2 NaN 6.9 7.4
## Crime & law 0.0 1.1 NaN 1.7 7.4
## Culture 15.3 1.1 NaN 10.3 16.7
## Sports 8.5 20.7 NaN 5.7 20.4
## Health 5.1 4.6 NaN 4.0 0.0
## Entertainment 5.1 21.8 NaN 1.7 0.0
## Other 32.2 19.5 NaN 34.3 38.9
## Total 100.1 99.7 NaN 100.0 100.1
## Count 59.0 87.0 0 175.0 54.0
## COUNTRY
## C7 Germany Greece Hong Kong Hungary Iceland India
## News/current affairs 4.7 27.7 29.2 12.8 2.0 11.0
## Politics 5.6 8.9 15.1 8.3 13.7 22.0
## Foreign politics 1.9 7.5 4.7 3.8 9.8 0.5
## Domestic politics 3.0 1.9 4.7 4.5 0.0 0.0
## Economy 8.8 8.0 25.5 3.0 17.6 6.2
## Crime & law 0.4 6.6 5.7 6.0 0.0 9.1
## Culture 8.2 6.1 2.8 10.5 11.8 2.9
## Sports 17.0 14.6 6.6 15.0 27.5 9.1
## Health 2.2 3.3 0.0 9.8 0.0 6.2
## Entertainment 3.4 2.8 0.0 16.5 0.0 5.7
## Other 44.6 12.7 5.7 9.8 17.6 27.3
## Total 99.8 100.1 100.0 100.0 100.0 100.0
## Count 464.0 213.0 212.0 133.0 51.0 209.0
## COUNTRY
## C7 Indonesia Ireland Israel Italy Japan Kenya Kosovo
## News/current affairs 16.1 1.9 18.8 2.3 4.2 16.2 15.2
## Politics 11.0 9.3 3.2 17.2 18.8 17.9 18.2
## Foreign politics 0.9 0.0 0.9 6.2 0.0 4.3 1.5
## Domestic politics 5.0 0.0 4.6 0.8 44.8 1.7 0.0
## Economy 14.2 13.9 9.6 12.5 6.1 13.7 15.2
## Crime & law 24.8 10.2 5.5 11.7 18.2 12.8 6.1
## Culture 3.7 0.0 9.2 9.4 0.6 1.7 15.2
## Sports 6.9 20.4 4.6 20.3 6.7 16.2 15.2
## Health 1.4 3.7 2.8 3.1 0.0 2.6 1.5
## Entertainment 1.8 2.8 1.8 2.3 0.6 6.8 4.5
## Other 14.2 38.0 39.0 14.1 0.0 6.0 7.6
## Total 100.0 100.2 100.0 99.9 100.0 99.9 100.2
## Count 218.0 108.0 218.0 128.0 165.0 117.0 66.0
## COUNTRY
## C7 Latvia Malawi Malaysia Mexico Moldova Netherlands
## News/current affairs 0.0 40.6 33.0 35.4 51.9 0.9
## Politics 9.5 9.4 6.4 13.9 11.1 1.9
## Foreign politics 3.6 0.0 3.7 1.3 3.7 0.6
## Domestic politics 3.6 0.0 0.9 11.4 6.2 1.3
## Economy 13.1 9.4 9.2 2.5 6.2 12.7
## Crime & law 2.4 0.0 5.5 16.5 3.7 2.2
## Culture 3.6 6.2 1.8 11.4 3.7 7.0
## Sports 7.1 6.2 5.5 3.8 2.5 4.1
## Health 9.5 6.2 3.7 0.0 1.2 5.4
## Entertainment 3.6 3.1 10.1 1.3 7.4 3.8
## Other 44.0 18.8 20.2 2.5 2.5 60.1
## Total 100.0 99.9 100.0 100.0 100.1 100.0
## Count 84.0 32.0 109.0 79.0 81.0 316.0
## COUNTRY
## C7 New Zealand Norway Philippines Poland Portugal
## News/current affairs 0.5 3.2 23.1 NaN 1.1
## Politics 3.5 6.3 22.5 NaN 8.8
## Foreign politics 0.5 9.0 1.2 NaN 1.1
## Domestic politics 0.0 2.7 0.6 NaN 1.1
## Economy 15.8 7.2 11.9 NaN 10.5
## Crime & law 9.4 1.8 11.9 NaN 1.7
## Culture 2.5 26.1 0.0 NaN 5.5
## Sports 13.4 10.4 4.4 NaN 24.3
## Health 6.9 12.2 1.2 NaN 1.1
## Entertainment 3.0 5.4 4.4 NaN 3.3
## Other 44.6 15.8 18.8 NaN 41.4
## Total 100.1 100.1 100.0 NaN 99.9
## Count 202.0 222.0 160.0 0 181.0
## COUNTRY
## C7 Oman Qatar Romania Russia Serbia Sierra Leone
## News/current affairs 17.5 40.1 38.3 19.6 15.4 22.2
## Politics 4.2 11.5 17.3 7.1 14.7 7.9
## Foreign politics 13.3 13.5 0.0 8.3 5.1 1.6
## Domestic politics 11.7 8.7 0.0 6.5 5.1 4.8
## Economy 30.0 3.6 4.9 10.1 11.8 3.2
## Crime & law 0.0 4.8 1.2 4.2 4.4 12.7
## Culture 0.0 8.3 11.1 10.1 14.0 3.2
## Sports 5.8 2.8 16.0 6.5 11.0 22.2
## Health 7.5 4.4 3.7 2.4 2.9 7.9
## Entertainment 8.3 2.4 7.4 6.0 7.4 3.2
## Other 1.7 0.0 0.0 19.0 8.1 11.1
## Total 100.0 100.1 99.9 99.8 99.9 100.0
## Count 120.0 252.0 81.0 168.0 136.0 63.0
## COUNTRY
## C7 Singapore_NON-REP South Africa South Korea Spain
## News/current affairs 7.1 7.9 28.0 0.8
## Politics 4.8 9.0 11.2 4.7
## Foreign politics 2.4 3.4 4.0 0.8
## Domestic politics 2.4 1.1 2.2 13.4
## Economy 7.1 14.6 24.5 11.0
## Crime & law 2.4 11.2 1.6 9.4
## Culture 2.4 2.2 4.0 19.7
## Sports 14.3 6.7 3.4 14.2
## Health 9.5 6.7 2.2 1.6
## Entertainment 4.8 3.4 0.6 3.1
## Other 42.9 33.7 18.3 21.3
## Total 100.1 99.9 100.0 100.0
## Count 42.0 89.0 322.0 127.0
## COUNTRY
## C7 Sudan Sweden Switzerland Taiwan Tanzania Thailand
## News/current affairs 25.3 0.0 14.2 NaN 31.0 31.1
## Politics 5.3 0.0 9.5 NaN 6.9 4.9
## Foreign politics 7.1 4.5 2.3 NaN 0.0 2.9
## Domestic politics 14.7 35.3 6.5 NaN 6.9 1.9
## Economy 7.1 9.5 11.9 NaN 6.9 9.7
## Crime & law 7.6 4.8 0.5 NaN 3.4 3.9
## Culture 8.2 9.3 12.3 NaN 0.0 1.9
## Sports 2.9 7.7 10.0 NaN 13.8 11.7
## Health 11.2 0.0 1.4 NaN 0.0 4.9
## Entertainment 10.6 2.7 3.3 NaN 3.4 11.7
## Other 0.0 26.3 28.1 NaN 27.6 15.5
## Total 100.0 100.1 100.0 NaN 99.9 100.1
## Count 170.0 377.0 430.0 0 29.0 103.0
## COUNTRY
## C7 Turkey_NON-REP UAE Uganda UK USA Zambia
## News/current affairs 15.8 32.2 NaN 5.4 4.7 NaN
## Politics 10.5 7.6 NaN 3.0 11.6 NaN
## Foreign politics 2.6 2.5 NaN 0.5 0.0 NaN
## Domestic politics 0.0 2.5 NaN 0.3 2.3 NaN
## Economy 5.3 11.0 NaN 7.6 4.7 NaN
## Crime & law 0.0 2.5 NaN 3.0 7.0 NaN
## Culture 0.0 11.0 NaN 6.0 0.0 NaN
## Sports 13.2 10.2 NaN 12.5 8.1 NaN
## Health 2.6 3.4 NaN 2.7 2.3 NaN
## Entertainment 0.0 5.9 NaN 7.3 1.2 NaN
## Other 50.0 11.0 NaN 51.6 58.1 NaN
## Total 100.0 99.8 NaN 99.9 100.0 NaN
## Count 38.0 118.0 0 368.0 86.0 0#Thinking of your work overall, how much freedom do you personally have in selecting news stories you work on? #
colPercents(xtabs(~C9+COUNTRY, data=wjsn))## COUNTRY
## C9 Albania Argentina Australia Austria Bangladesh
## no freedom at all 0.3 0.8 0.3 0.0 2.9
## little freedom 3.1 4.7 3.0 2.6 11.1
## some freedom 44.7 23.3 21.6 18.7 24.9
## a great deal of freedom 26.1 42.1 52.4 63.7 27.6
## complete freedom 25.8 29.1 22.6 14.9 33.4
## Total 100.0 100.0 99.9 99.9 99.9
## Count 295.0 361.0 601.0 811.0 341.0
## COUNTRY
## C9 Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## no freedom at all 0.7 0.0 2.7 2.1 NaN NaN
## little freedom 4.9 1.1 14.6 10.2 NaN NaN
## some freedom 27.4 41.4 25.9 33.5 NaN NaN
## a great deal of freedom 52.0 42.5 27.0 42.9 NaN NaN
## complete freedom 15.0 14.9 29.7 11.3 NaN NaN
## Total 100.0 99.9 99.9 100.0 NaN NaN
## Count 588.0 87.0 185.0 373.0 0 0
## COUNTRY
## C9 Canada Chile China Colombia Croatia Cyprus
## no freedom at all 0.0 1.7 4.0 1.8 2.5 0.0
## little freedom 2.6 6.4 11.0 3.6 2.7 0.0
## some freedom 14.0 28.3 68.4 14.2 9.8 17.2
## a great deal of freedom 62.9 43.6 16.1 30.9 52.5 44.1
## complete freedom 20.6 20.0 0.5 49.5 32.5 38.7
## Total 100.1 100.0 100.0 100.0 100.0 100.0
## Count 350.0 484.0 652.0 550.0 440.0 204.0
## COUNTRY
## C9 Czech Republic Denmark Ecuador Egypt El Salvador
## no freedom at all 1.4 2.2 1.6 7.2 2.4
## little freedom 2.4 6.8 8.5 13.0 8.5
## some freedom 25.1 21.3 24.0 36.8 33.1
## a great deal of freedom 46.7 51.6 33.6 26.2 36.3
## complete freedom 24.4 18.0 32.2 16.8 19.8
## Total 100.0 99.9 99.9 100.0 100.1
## Count 287.0 1358.0 366.0 400.0 248.0
## COUNTRY
## C9 Estonia Ethiopia Fiji Finland France_NON-REP
## no freedom at all 1.1 5.2 NaN 0.0 0.9
## little freedom 0.4 12.9 NaN 2.5 4.4
## some freedom 14.8 34.7 NaN 23.1 31.3
## a great deal of freedom 49.4 30.1 NaN 63.2 49.8
## complete freedom 34.3 17.2 NaN 11.3 13.7
## Total 100.0 100.1 NaN 100.1 100.1
## Count 271.0 349.0 0 364.0 227.0
## COUNTRY
## C9 Germany Greece Hong Kong Hungary Iceland India
## no freedom at all 1.1 1.0 6.1 1.6 0.0 2.3
## little freedom 5.4 5.2 13.4 10.0 3.8 4.4
## some freedom 19.6 21.6 50.1 23.2 10.3 22.9
## a great deal of freedom 47.3 44.9 27.8 50.7 51.4 42.1
## complete freedom 26.7 27.3 2.6 14.5 34.6 28.3
## Total 100.1 100.0 100.0 100.0 100.1 100.0
## Count 761.0 403.0 461.0 379.0 185.0 523.0
## COUNTRY
## C9 Indonesia Ireland Israel Italy Japan Kenya
## no freedom at all 1.1 0.7 1.8 1.8 0.8 0.9
## little freedom 3.8 6.9 4.4 16.4 4.4 7.1
## some freedom 56.9 30.3 12.1 32.3 40.6 31.4
## a great deal of freedom 24.3 46.1 37.4 29.5 47.0 41.7
## complete freedom 13.9 16.1 44.4 19.9 7.1 18.9
## Total 100.0 100.1 100.1 99.9 99.9 100.0
## Count 654.0 304.0 340.0 396.0 742.0 338.0
## COUNTRY
## C9 Kosovo Latvia Malawi Malaysia Mexico Moldova
## no freedom at all 0.0 0.0 0.5 3.4 1.6 1.4
## little freedom 4.4 0.3 8.2 9.8 5.6 5.9
## some freedom 28.6 12.4 30.8 38.1 17.2 16.0
## a great deal of freedom 38.9 55.3 29.1 37.3 37.5 45.2
## complete freedom 28.1 32.1 31.3 11.5 38.1 31.5
## Total 100.0 100.1 99.9 100.1 100.0 100.0
## Count 203.0 340.0 182.0 357.0 373.0 219.0
## COUNTRY
## C9 Netherlands New Zealand Norway Philippines
## no freedom at all 0.6 0.2 2.2 0.3
## little freedom 1.1 2.4 6.8 1.7
## some freedom 7.5 18.8 30.4 20.5
## a great deal of freedom 48.1 55.1 49.6 51.2
## complete freedom 42.7 23.5 10.9 26.3
## Total 100.0 100.0 99.9 100.0
## Count 522.0 537.0 631.0 346.0
## COUNTRY
## C9 Poland Portugal Oman Qatar Romania Russia
## no freedom at all NaN 0.2 5.1 16.4 1.8 2.8
## little freedom NaN 2.2 22.7 33.6 3.6 5.6
## some freedom NaN 21.2 32.0 18.3 15.7 29.5
## a great deal of freedom NaN 51.4 22.7 19.4 43.9 40.8
## complete freedom NaN 24.9 17.6 12.2 35.0 21.3
## Total NaN 99.9 100.1 99.9 100.0 100.0
## Count 0 405.0 256.0 360.0 337.0 390.0
## COUNTRY
## C9 Serbia Sierra Leone Singapore_NON-REP
## no freedom at all 3.0 2.3 0.0
## little freedom 7.7 11.0 4.3
## some freedom 21.3 34.7 34.0
## a great deal of freedom 42.4 19.6 54.3
## complete freedom 25.6 32.4 7.4
## Total 100.0 100.0 100.0
## Count 403.0 219.0 94.0
## COUNTRY
## C9 South Africa South Korea Spain Sudan Sweden
## no freedom at all 2.4 1.7 1.5 3.3 0.8
## little freedom 6.0 8.5 4.6 12.8 3.6
## some freedom 20.1 41.8 18.5 30.0 15.6
## a great deal of freedom 53.3 45.2 46.8 13.2 55.6
## complete freedom 18.2 2.8 28.5 40.7 24.5
## Total 100.0 100.0 99.9 100.0 100.1
## Count 368.0 352.0 389.0 273.0 646.0
## COUNTRY
## C9 Switzerland Taiwan Tanzania Thailand
## no freedom at all 0.3 NaN 9.6 4.6
## little freedom 2.8 NaN 47.1 6.5
## some freedom 19.0 NaN 33.8 25.9
## a great deal of freedom 64.4 NaN 8.5 33.7
## complete freedom 13.5 NaN 1.1 29.4
## Total 100.0 NaN 100.1 100.1
## Count 909.0 0 272.0 371.0
## COUNTRY
## C9 Turkey_NON-REP UAE Uganda UK USA Zambia
## no freedom at all 1.1 6.7 NaN 1.2 0.0 NaN
## little freedom 11.6 22.0 NaN 4.9 0.7 NaN
## some freedom 23.2 27.4 NaN 21.2 10.0 NaN
## a great deal of freedom 18.9 33.2 NaN 48.4 53.7 NaN
## complete freedom 45.3 10.8 NaN 24.4 35.5 NaN
## Total 100.1 100.1 NaN 100.1 99.9 NaN
## Count 95.0 223.0 0 694.0 408.0 0#How much freedom do you personally have in deciding which aspects of a story should be emphasized? #
colPercents(xtabs(~C10+COUNTRY, data=wjsn))## COUNTRY
## C10 Albania Argentina Australia Austria Bangladesh
## no freedom at all 1.4 0.8 0.5 0.0 0.9
## little freedom 5.4 5.2 2.3 1.5 8.7
## some freedom 37.6 19.9 16.3 8.4 26.3
## a great deal of freedom 29.2 39.2 53.8 58.3 31.8
## complete freedom 26.4 34.8 27.1 31.8 32.4
## Total 100.0 99.9 100.0 100.0 100.1
## Count 295.0 362.0 602.0 809.0 346.0
## COUNTRY
## C10 Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## no freedom at all 0.2 4.5 2.2 1.1 NaN NaN
## little freedom 3.4 14.8 10.8 7.5 NaN NaN
## some freedom 20.9 37.5 27.6 37.6 NaN NaN
## a great deal of freedom 55.0 30.7 28.1 39.2 NaN NaN
## complete freedom 20.5 12.5 31.4 14.7 NaN NaN
## Total 100.0 100.0 100.1 100.1 NaN NaN
## Count 589.0 88.0 185.0 375.0 0 0
## COUNTRY
## C10 Canada Chile China Colombia Croatia Cyprus
## no freedom at all 0.0 1.6 4.8 2.0 1.6 0.0
## little freedom 1.2 4.5 10.0 4.9 1.6 0.0
## some freedom 12.4 27.6 54.9 12.5 10.2 8.8
## a great deal of freedom 57.9 47.4 20.8 38.0 48.4 55.4
## complete freedom 28.5 18.8 9.5 42.5 38.2 35.8
## Total 100.0 99.9 100.0 99.9 100.0 100.0
## Count 347.0 485.0 650.0 550.0 440.0 204.0
## COUNTRY
## C10 Czech Republic Denmark Ecuador Egypt El Salvador
## no freedom at all 0.7 1.5 2.2 7.8 2.4
## little freedom 2.4 4.7 8.4 10.8 10.5
## some freedom 21.5 18.3 24.0 34.2 29.0
## a great deal of freedom 47.8 50.1 32.4 25.5 36.7
## complete freedom 27.7 25.3 33.0 21.8 21.4
## Total 100.1 99.9 100.0 100.1 100.0
## Count 289.0 1350.0 367.0 400.0 248.0
## COUNTRY
## C10 Estonia Ethiopia Fiji Finland France_NON-REP
## no freedom at all 0.0 4.3 NaN 0.0 0.4
## little freedom 0.4 11.8 NaN 1.4 5.3
## some freedom 6.6 36.7 NaN 18.7 26.8
## a great deal of freedom 46.2 27.2 NaN 65.1 50.9
## complete freedom 46.9 19.9 NaN 14.8 16.7
## Total 100.1 99.9 NaN 100.0 100.1
## Count 273.0 346.0 0 364.0 228.0
## COUNTRY
## C10 Germany Greece Hong Kong Hungary Iceland India
## no freedom at all 0.8 0.2 2.6 1.3 0.5 2.1
## little freedom 3.6 3.9 9.8 9.1 1.6 6.5
## some freedom 13.7 21.1 54.2 26.7 9.7 18.2
## a great deal of freedom 38.9 45.6 31.2 44.7 50.5 42.4
## complete freedom 43.0 29.2 2.2 18.2 37.6 30.8
## Total 100.0 100.0 100.0 100.0 99.9 100.0
## Count 758.0 408.0 461.0 374.0 186.0 523.0
## COUNTRY
## C10 Indonesia Ireland Israel Italy Japan Kenya
## no freedom at all 0.5 1.3 0.9 1.8 0.5 1.2
## little freedom 3.9 4.0 2.7 9.6 3.1 9.4
## some freedom 51.6 22.1 8.8 29.0 36.3 29.5
## a great deal of freedom 31.3 53.1 25.4 34.8 52.5 38.3
## complete freedom 12.7 19.5 62.2 24.7 7.6 21.5
## Total 100.0 100.0 100.0 99.9 100.0 99.9
## Count 661.0 303.0 339.0 396.0 741.0 339.0
## COUNTRY
## C10 Kosovo Latvia Malawi Malaysia Mexico Moldova
## no freedom at all 0.0 0.0 0.6 3.6 0.5 1.4
## little freedom 3.0 0.3 8.4 8.9 6.1 5.0
## some freedom 25.6 5.6 28.5 37.5 17.3 15.5
## a great deal of freedom 39.9 47.6 33.0 38.9 35.9 40.2
## complete freedom 31.5 46.5 29.6 11.1 40.2 37.9
## Total 100.0 100.0 100.1 100.0 100.0 100.0
## Count 203.0 340.0 179.0 360.0 376.0 219.0
## COUNTRY
## C10 Netherlands New Zealand Norway Philippines
## no freedom at all 0.0 0.0 0.6 0.3
## little freedom 1.0 2.2 2.8 1.7
## some freedom 7.5 19.6 21.3 19.9
## a great deal of freedom 45.8 50.7 61.5 51.2
## complete freedom 45.8 27.4 13.7 26.9
## Total 100.1 99.9 99.9 100.0
## Count 522.0 536.0 634.0 346.0
## COUNTRY
## C10 Poland Portugal Oman Qatar Romania Russia
## no freedom at all NaN 0.0 0.0 14.4 1.8 2.6
## little freedom NaN 1.5 15.2 31.7 4.7 5.1
## some freedom NaN 13.6 40.1 19.2 16.8 25.1
## a great deal of freedom NaN 44.9 29.6 26.0 35.9 42.6
## complete freedom NaN 40.0 15.2 8.7 40.9 24.6
## Total NaN 100.0 100.1 100.0 100.1 100.0
## Count 0 405.0 257.0 369.0 340.0 390.0
## COUNTRY
## C10 Serbia Sierra Leone Singapore_NON-REP
## no freedom at all 3.0 0.5 0.0
## little freedom 6.2 9.0 7.4
## some freedom 17.9 36.7 36.8
## a great deal of freedom 39.5 17.2 48.4
## complete freedom 33.5 36.7 7.4
## Total 100.1 100.1 100.0
## Count 403.0 221.0 95.0
## COUNTRY
## C10 South Africa South Korea Spain Sudan Sweden
## no freedom at all 1.4 1.4 0.3 4.8 0.5
## little freedom 6.5 11.1 4.4 12.9 3.1
## some freedom 22.2 48.9 15.1 29.0 12.1
## a great deal of freedom 46.2 36.6 46.2 16.5 58.1
## complete freedom 23.8 2.0 34.1 36.8 26.2
## Total 100.1 100.0 100.1 100.0 100.0
## Count 370.0 352.0 390.0 272.0 621.0
## COUNTRY
## C10 Switzerland Taiwan Tanzania Thailand
## no freedom at all 0.3 NaN 12.5 3.0
## little freedom 1.5 NaN 43.0 5.9
## some freedom 12.7 NaN 34.6 27.0
## a great deal of freedom 62.4 NaN 8.8 36.7
## complete freedom 23.1 NaN 1.1 27.5
## Total 100.0 NaN 100.0 100.1
## Count 909.0 0 272.0 371.0
## COUNTRY
## C10 Turkey_NON-REP UAE Uganda UK USA Zambia
## no freedom at all 0.0 8.4 NaN 1.0 0.2 NaN
## little freedom 15.1 21.2 NaN 3.3 0.5 NaN
## some freedom 20.4 23.0 NaN 17.9 7.8 NaN
## a great deal of freedom 21.5 33.6 NaN 46.0 48.2 NaN
## complete freedom 43.0 13.7 NaN 31.8 43.3 NaN
## Total 100.0 99.9 NaN 100.0 100.0 NaN
## Count 93.0 226.0 0 694.0 409.0 0#How often do you participate in editorial and newsroom coordination, such as attending editorial meetings or assigning reporters? #
colPercents(xtabs(~C11+COUNTRY, data=wjsn))## COUNTRY
## C11 Albania Argentina Australia Austria Bangladesh Belgium
## almost never 3.4 22.8 11.6 7.0 21.9 9.9
## rarely 5.1 10.3 14.3 12.6 17.3 9.7
## sometimes 12.9 20.5 18.1 29.5 23.4 13.7
## very often 23.8 18.8 21.6 33.0 36.8 32.3
## always 54.8 27.6 34.5 18.0 0.6 34.4
## Total 100.0 100.0 100.1 100.1 100.0 100.0
## Count 294.0 351.0 603.0 804.0 329.0 585.0
## COUNTRY
## C11 Bhutan Botswana Brazil Bulgaria Cameroon Canada Chile China
## almost never 11.2 2.2 17.0 NaN NaN 16.3 15.6 24.4
## rarely 13.5 8.1 16.2 NaN NaN 17.8 11.6 19.7
## sometimes 24.7 10.2 25.8 NaN NaN 18.1 21.9 25.0
## very often 25.8 26.3 17.8 NaN NaN 21.1 24.7 18.9
## always 24.7 53.2 23.3 NaN NaN 26.7 26.2 12.0
## Total 99.9 100.0 100.1 NaN NaN 100.0 100.0 100.0
## Count 89.0 186.0 365.0 0 0 337.0 474.0 651.0
## COUNTRY
## C11 Colombia Croatia Cyprus Czech Republic Denmark Ecuador
## almost never 15.1 11.2 5.4 17.2 NaN 9.9
## rarely 7.7 13.5 6.4 12.8 NaN 8.8
## sometimes 20.5 18.0 11.3 21.4 NaN 26.2
## very often 18.2 15.9 20.6 22.1 NaN 22.1
## always 38.4 41.4 56.4 26.6 NaN 32.9
## Total 99.9 100.0 100.1 100.1 NaN 99.9
## Count 555.0 517.0 204.0 290.0 0 362.0
## COUNTRY
## C11 Egypt El Salvador Estonia Ethiopia Fiji Finland
## almost never 16.8 13.0 5.1 10.5 NaN 8.5
## rarely 14.3 10.9 7.3 15.7 NaN 6.3
## sometimes 25.4 11.3 13.9 22.7 NaN 11.2
## very often 25.1 30.8 23.1 23.6 NaN 39.6
## always 18.3 34.0 50.5 27.4 NaN 34.4
## Total 99.9 100.0 99.9 99.9 NaN 100.0
## Count 398.0 247.0 273.0 343.0 0 366.0
## COUNTRY
## C11 France_NON-REP Germany Greece Hong Kong Hungary Iceland
## almost never 8.6 12.9 9.9 30.6 8.5 25.0
## rarely 19.5 10.2 11.4 30.2 14.1 16.3
## sometimes 20.9 23.2 20.6 22.6 29.5 17.9
## very often 20.9 32.6 24.3 8.6 33.5 23.9
## always 30.0 21.1 33.7 8.0 14.4 16.8
## Total 99.9 100.0 99.9 100.0 100.0 99.9
## Count 220.0 767.0 403.0 464.0 376.0 184.0
## COUNTRY
## C11 India Indonesia Ireland Israel Italy Japan Kenya Kosovo
## almost never 6.4 9.8 12.5 36.8 28.9 NaN 2.7 4.0
## rarely 8.9 9.7 13.9 8.8 15.6 NaN 12.4 4.0
## sometimes 18.1 23.2 23.8 7.8 15.1 NaN 22.5 11.4
## very often 23.3 28.6 23.8 10.8 14.3 NaN 25.4 30.2
## always 43.4 28.6 26.1 35.8 26.1 NaN 37.0 50.5
## Total 100.1 99.9 100.1 100.0 100.0 NaN 100.0 100.1
## Count 519.0 650.0 303.0 296.0 391.0 0 338.0 202.0
## COUNTRY
## C11 Latvia Malawi Malaysia Mexico Moldova Netherlands
## almost never 3.2 2.8 13.9 12.2 14.6 11.0
## rarely 7.4 5.0 13.9 9.6 12.3 8.2
## sometimes 14.5 17.2 24.1 21.5 11.9 16.2
## very often 28.0 22.2 21.3 16.5 22.8 21.4
## always 46.9 52.8 26.9 40.2 38.4 43.2
## Total 100.0 100.0 100.1 100.0 100.0 100.0
## Count 339.0 180.0 361.0 376.0 219.0 500.0
## COUNTRY
## C11 New Zealand Norway Philippines Poland Portugal Oman Qatar
## almost never 10.8 10.1 7.5 NaN 17.5 12.5 21.0
## rarely 12.0 7.5 12.8 NaN 14.8 23.0 22.0
## sometimes 18.9 16.8 29.9 NaN 23.6 30.4 27.2
## very often 27.1 36.3 26.4 NaN 22.4 22.2 23.7
## always 31.2 29.3 23.5 NaN 21.7 12.1 6.2
## Total 100.0 100.0 100.1 NaN 100.0 100.2 100.1
## Count 535.0 642.0 345.0 0 406.0 257.0 372.0
## COUNTRY
## C11 Romania Russia Serbia Sierra Leone Singapore_NON-REP
## almost never 11.8 10.3 14.0 2.3 16.8
## rarely 15.7 21.5 9.8 5.6 16.8
## sometimes 15.1 26.9 20.2 15.3 23.2
## very often 19.2 17.7 24.0 22.7 20.0
## always 38.2 23.6 32.0 54.2 23.2
## Total 100.0 100.0 100.0 100.1 100.0
## Count 338.0 390.0 400.0 216.0 95.0
## COUNTRY
## C11 South Africa South Korea Spain Sudan Sweden Switzerland
## almost never 14.9 12.8 22.4 24.6 10.1 15.2
## rarely 13.8 33.0 8.8 20.2 11.5 10.3
## sometimes 14.9 35.2 17.8 15.4 12.6 26.5
## very often 27.4 13.9 18.6 14.0 29.0 29.1
## always 29.0 5.1 32.5 25.7 36.9 18.9
## Total 100.0 100.0 100.1 99.9 100.1 100.0
## Count 369.0 352.0 388.0 272.0 645.0 904.0
## COUNTRY
## C11 Taiwan Tanzania Thailand Turkey_NON-REP UAE Uganda UK
## almost never NaN 11.0 6.3 20.0 15.9 NaN 15.1
## rarely NaN 45.2 4.4 11.6 25.6 NaN 11.6
## sometimes NaN 34.2 26.2 18.9 33.0 NaN 20.8
## very often NaN 8.8 32.2 11.6 16.7 NaN 27.3
## always NaN 0.7 30.9 37.9 8.8 NaN 25.1
## Total NaN 99.9 100.0 100.0 100.0 NaN 99.9
## Count 0 272.0 366.0 95.0 227.0 0 696.0
## COUNTRY
## C11 USA Zambia
## almost never 5.3 NaN
## rarely 7.5 NaN
## sometimes 9.4 NaN
## very often 17.4 NaN
## always 60.4 NaN
## Total 100.0 NaN
## Count 414.0 0#Please tell me how important each of these things is in your work.#
#Be a detached observer.#
colPercents(xtabs(~C12A+COUNTRY, data=wjsn))## COUNTRY
## C12A Albania Argentina Australia Austria Bangladesh
## unimportant 1.7 9.9 3.0 1.0 16.1
## little important 1.7 7.4 3.7 2.2 11.5
## somewhat important 5.8 30.6 16.4 8.5 24.6
## very important 45.4 34.8 37.0 31.5 21.0
## extremely important 45.4 17.3 39.9 56.8 26.9
## Total 100.0 100.0 100.0 100.0 100.1
## Count 293.0 353.0 602.0 812.0 305.0
## COUNTRY
## C12A Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 0.9 5.8 11.3 1.9 NaN NaN
## little important 2.9 7.0 4.8 5.3 NaN NaN
## somewhat important 10.9 14.0 15.5 19.7 NaN NaN
## very important 32.3 34.9 23.2 24.7 NaN NaN
## extremely important 53.1 38.4 45.2 48.4 NaN NaN
## Total 100.1 100.1 100.0 100.0 NaN NaN
## Count 586.0 86.0 168.0 376.0 0 0
## COUNTRY
## C12A Canada Chile China Colombia Croatia Cyprus
## unimportant 3.5 11.4 2.8 17.7 2.0 1.5
## little important 3.8 9.8 6.6 8.6 2.7 2.6
## somewhat important 14.3 24.5 26.2 30.7 12.2 23.2
## very important 33.9 24.0 46.6 23.4 20.7 19.1
## extremely important 44.4 30.3 17.7 19.7 62.4 53.6
## Total 99.9 100.0 99.9 100.1 100.0 100.0
## Count 342.0 458.0 637.0 538.0 551.0 194.0
## COUNTRY
## C12A Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 0.7 3.1 20.6 0.3 15.3
## little important 2.4 9.6 8.5 1.0 10.2
## somewhat important 5.9 24.0 21.5 6.5 22.5
## very important 24.9 31.0 30.6 18.1 30.9
## extremely important 66.1 32.2 18.8 74.1 21.2
## Total 100.0 99.9 100.0 100.0 100.1
## Count 289.0 1340.0 340.0 398.0 236.0
## COUNTRY
## C12A Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 0.0 12.8 NaN 0.5 1.3 1.7
## little important 1.5 11.0 NaN 1.4 3.6 4.8
## somewhat important 7.3 18.3 NaN 6.6 17.5 11.0
## very important 36.5 28.1 NaN 29.2 30.0 29.7
## extremely important 54.7 29.9 NaN 62.3 47.5 52.8
## Total 100.0 100.1 NaN 100.0 99.9 100.0
## Count 274.0 345.0 0 366.0 223.0 771.0
## COUNTRY
## C12A Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 4.1 1.7 0.0 2.3 7.0 5.6
## little important 8.6 7.4 1.0 4.5 5.2 5.3
## somewhat important 17.0 32.2 12.5 16.5 11.8 25.2
## very important 32.4 49.8 34.0 35.8 29.3 41.7
## extremely important 38.0 8.9 52.5 40.9 46.7 22.3
## Total 100.1 100.0 100.0 100.0 100.0 100.1
## Count 395.0 460.0 385.0 176.0 501.0 628.0
## COUNTRY
## C12A Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 2.0 16.0 0.5 2.0 9.4 1.0 0.0
## little important 3.3 12.3 2.3 14.4 8.1 1.0 0.9
## somewhat important 19.5 20.8 10.6 39.4 21.6 3.0 2.7
## very important 38.1 22.0 23.2 32.6 37.7 19.7 29.2
## extremely important 37.1 28.9 63.4 11.6 23.2 75.3 67.3
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.1
## Count 302.0 332.0 396.0 743.0 310.0 198.0 336.0
## COUNTRY
## C12A Malawi Malaysia Mexico Moldova Netherlands
## unimportant 6.6 2.5 12.3 0.0 2.7
## little important 9.9 2.3 10.1 4.5 6.8
## somewhat important 12.6 23.7 19.2 12.7 25.5
## very important 21.9 46.8 34.7 31.4 41.5
## extremely important 49.0 24.8 23.7 51.4 23.4
## Total 100.0 100.1 100.0 100.0 99.9
## Count 151.0 355.0 375.0 220.0 513.0
## COUNTRY
## C12A New Zealand Norway Philippines Poland Portugal Oman
## unimportant 3.0 4.5 1.4 NaN 1.7 1.9
## little important 4.3 9.0 3.8 NaN 2.2 2.7
## somewhat important 21.1 23.7 24.0 NaN 10.1 5.8
## very important 38.1 43.5 47.1 NaN 24.4 49.0
## extremely important 33.4 19.2 23.7 NaN 61.5 40.5
## Total 99.9 99.9 100.0 NaN 99.9 99.9
## Count 530.0 620.0 346.0 0 405.0 257.0
## COUNTRY
## C12A Qatar Romania Russia Serbia Sierra Leone
## unimportant 8.7 0.6 1.8 7.9 5.5
## little important 11.8 2.9 4.1 9.0 6.5
## somewhat important 26.3 10.9 32.8 17.4 19.5
## very important 28.9 22.1 34.4 28.1 31.0
## extremely important 24.4 63.5 26.9 37.6 37.5
## Total 100.1 100.0 100.0 100.0 100.0
## Count 357.0 340.0 390.0 391.0 200.0
## COUNTRY
## C12A Singapore_NON-REP South Africa South Korea Spain
## unimportant 10.6 6.0 0.0 2.3
## little important 27.7 11.0 4.8 6.7
## somewhat important 19.1 20.5 25.9 20.8
## very important 20.2 23.8 53.7 37.7
## extremely important 22.3 38.6 15.6 32.6
## Total 99.9 99.9 100.0 100.1
## Count 94.0 365.0 352.0 390.0
## COUNTRY
## C12A Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 0.7 0.7 0.4 NaN 0.0 0.8
## little important 0.0 2.1 3.0 NaN 15.4 1.6
## somewhat important 4.7 6.8 13.8 NaN 58.1 15.4
## very important 15.3 36.8 35.6 NaN 23.2 35.0
## extremely important 79.2 53.7 47.2 NaN 3.3 47.2
## Total 99.9 100.1 100.0 NaN 100.0 100.0
## Count 274.0 585.0 908.0 0 272.0 369.0
## COUNTRY
## C12A Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 1.1 20.0 NaN 1.0 1.7 NaN
## little important 3.2 16.1 NaN 3.3 3.6 NaN
## somewhat important 4.3 29.3 NaN 18.9 19.1 NaN
## very important 11.7 16.6 NaN 37.2 34.9 NaN
## extremely important 79.8 18.0 NaN 39.6 40.7 NaN
## Total 100.1 100.0 NaN 100.0 100.0 NaN
## Count 94.0 205.0 0 694.0 413.0 0#Report things as they are.#
colPercents(xtabs(~C12B+COUNTRY, data=wjsn))## COUNTRY
## C12B Albania Argentina Australia Austria Bangladesh
## unimportant 0.3 1.1 0.5 0.2 3.7
## little important 0.0 0.6 0.8 0.6 5.8
## somewhat important 1.7 7.2 4.0 3.6 13.8
## very important 37.9 31.9 25.3 26.5 27.2
## extremely important 60.1 59.2 69.3 69.0 49.5
## Total 100.0 100.0 99.9 99.9 100.0
## Count 293.0 360.0 600.0 807.0 327.0
## COUNTRY
## C12B Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 0.0 5.6 0.0 0.3 NaN NaN
## little important 0.8 6.7 0.5 1.9 NaN NaN
## somewhat important 4.9 7.9 3.2 8.5 NaN NaN
## very important 28.1 25.8 11.8 19.7 NaN NaN
## extremely important 66.1 53.9 84.4 69.7 NaN NaN
## Total 99.9 99.9 99.9 100.1 NaN NaN
## Count 590.0 89.0 186.0 376.0 0 0
## COUNTRY
## C12B Canada Chile China Colombia Croatia Cyprus
## unimportant 0.0 2.7 0.5 0.7 0.0 0.0
## little important 0.9 1.5 2.5 2.4 0.9 0.0
## somewhat important 2.3 7.6 13.2 4.4 3.1 2.9
## very important 10.8 18.1 53.9 14.8 16.5 9.8
## extremely important 86.0 70.2 29.9 77.7 79.6 87.3
## Total 100.0 100.1 100.0 100.0 100.1 100.0
## Count 351.0 476.0 642.0 547.0 553.0 204.0
## COUNTRY
## C12B Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 0.0 0.1 2.5 0.8 0.4
## little important 0.7 0.7 2.7 1.0 2.4
## somewhat important 1.0 8.3 6.0 12.8 4.0
## very important 4.5 29.4 21.9 32.7 22.8
## extremely important 93.8 61.4 66.8 52.8 70.4
## Total 100.0 99.9 99.9 100.1 100.0
## Count 289.0 1345.0 365.0 398.0 250.0
## COUNTRY
## C12B Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 0.0 6.9 NaN 0.3 0.0 0.5
## little important 0.7 11.5 NaN 1.9 0.0 1.4
## somewhat important 4.4 15.2 NaN 6.3 3.5 7.3
## very important 19.0 23.6 NaN 26.0 20.3 19.9
## extremely important 75.9 42.8 NaN 65.6 76.2 70.8
## Total 100.0 100.0 NaN 100.1 100.0 99.9
## Count 274.0 348.0 0 366.0 227.0 765.0
## COUNTRY
## C12B Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 0.0 0.4 0.5 1.1 1.2 0.8
## little important 0.7 3.2 1.8 0.0 1.4 0.6
## somewhat important 2.4 16.6 6.7 1.6 9.1 4.5
## very important 18.3 56.3 29.5 16.8 29.7 35.3
## extremely important 78.5 23.4 61.5 80.4 58.7 58.8
## Total 99.9 99.9 100.0 99.9 100.1 100.0
## Count 409.0 465.0 387.0 184.0 518.0 660.0
## COUNTRY
## C12B Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 0.7 1.2 0.3 1.3 0.9 0.5 0.0
## little important 0.7 1.5 1.3 7.0 2.1 0.0 0.6
## somewhat important 4.3 4.4 8.1 26.6 4.2 1.0 0.0
## very important 23.6 17.7 18.5 39.0 35.7 12.9 22.9
## extremely important 70.8 75.2 71.8 26.1 57.1 85.6 76.5
## Total 100.1 100.0 100.0 100.0 100.0 100.0 100.0
## Count 301.0 339.0 394.0 744.0 336.0 202.0 340.0
## COUNTRY
## C12B Malawi Malaysia Mexico Moldova Netherlands
## unimportant 1.1 0.3 0.8 0.0 0.2
## little important 1.1 3.3 0.8 0.0 1.4
## somewhat important 1.1 17.1 2.9 2.7 5.6
## very important 15.4 41.3 19.4 15.8 31.7
## extremely important 81.1 38.0 76.1 81.4 61.2
## Total 99.8 100.0 100.0 99.9 100.1
## Count 175.0 363.0 376.0 221.0 518.0
## COUNTRY
## C12B New Zealand Norway Philippines Poland Portugal Oman
## unimportant 0.0 3.4 0.0 NaN 0.7 7.4
## little important 0.9 1.1 0.3 NaN 0.2 8.2
## somewhat important 5.1 7.7 4.6 NaN 4.2 21.0
## very important 29.9 41.8 41.0 NaN 16.7 28.8
## extremely important 64.1 46.1 54.2 NaN 78.1 34.6
## Total 100.0 100.1 100.1 NaN 99.9 100.0
## Count 532.0 625.0 349.0 0 401.0 257.0
## COUNTRY
## C12B Qatar Romania Russia Serbia Sierra Leone
## unimportant 8.2 0.0 0.3 0.5 0.5
## little important 12.3 0.9 1.3 0.5 1.4
## somewhat important 24.9 4.2 19.7 2.0 3.2
## very important 29.0 9.5 33.6 13.3 28.2
## extremely important 25.5 85.5 45.1 83.7 66.7
## Total 99.9 100.1 100.0 100.0 100.0
## Count 365.0 337.0 390.0 405.0 216.0
## COUNTRY
## C12B Singapore_NON-REP South Africa South Korea Spain
## unimportant 22.1 0.8 0.3 0.5
## little important 23.2 1.6 0.6 0.5
## somewhat important 5.3 5.1 6.2 2.1
## very important 10.5 19.7 29.5 13.3
## extremely important 38.9 72.8 63.4 83.6
## Total 100.0 100.0 100.0 100.0
## Count 95.0 371.0 352.0 390.0
## COUNTRY
## C12B Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 0.7 0.2 0.1 NaN 0.0 0.0
## little important 1.5 0.2 0.8 NaN 0.0 0.3
## somewhat important 7.4 3.2 4.7 NaN 12.1 11.1
## very important 22.1 32.9 35.2 NaN 50.7 40.2
## extremely important 68.4 63.6 59.2 NaN 37.1 48.5
## Total 100.1 100.1 100.0 NaN 99.9 100.1
## Count 272.0 590.0 907.0 0 272.0 371.0
## COUNTRY
## C12B Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 1.1 22.8 NaN 0.0 0.2 NaN
## little important 0.0 12.3 NaN 0.4 0.7 NaN
## somewhat important 1.1 20.1 NaN 6.6 0.7 NaN
## very important 14.9 21.9 NaN 26.3 13.1 NaN
## extremely important 83.0 22.8 NaN 66.7 85.2 NaN
## Total 100.1 99.9 NaN 100.0 99.9 NaN
## Count 94.0 219.0 0 697.0 412.0 0#Provide analysis of current affairs.#
colPercents(xtabs(~C12C+COUNTRY, data=wjsn))## COUNTRY
## C12C Albania Argentina Australia Austria Bangladesh
## unimportant 0.7 1.7 10.8 0.9 1.2
## little important 1.4 2.5 11.1 2.1 3.0
## somewhat important 20.9 16.2 21.5 7.5 17.3
## very important 57.2 45.5 33.3 31.6 37.7
## extremely important 19.9 34.1 23.3 58.0 40.7
## Total 100.1 100.0 100.0 100.1 99.9
## Count 292.0 358.0 601.0 814.0 329.0
## COUNTRY
## C12C Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 3.4 3.4 1.1 1.1 NaN NaN
## little important 3.6 6.7 0.5 8.0 NaN NaN
## somewhat important 22.5 16.9 5.9 27.1 NaN NaN
## very important 45.7 28.1 27.4 32.7 NaN NaN
## extremely important 24.7 44.9 65.1 31.1 NaN NaN
## Total 99.9 100.0 100.0 100.0 NaN NaN
## Count 582.0 89.0 186.0 376.0 0 0
## COUNTRY
## C12C Canada Chile China Colombia Croatia Cyprus
## unimportant 2.3 2.8 1.4 0.9 0.2 0.0
## little important 3.2 3.2 5.8 1.7 1.4 0.0
## somewhat important 16.1 9.1 22.0 6.4 8.0 5.4
## very important 38.6 21.4 48.8 22.7 31.2 21.6
## extremely important 39.8 63.6 22.0 68.3 59.2 73.0
## Total 100.0 100.1 100.0 100.0 100.0 100.0
## Count 347.0 472.0 640.0 543.0 552.0 204.0
## COUNTRY
## C12C Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 2.1 0.8 1.7 0.5 7.5
## little important 6.3 5.1 2.2 3.3 6.7
## somewhat important 24.7 20.1 6.9 16.8 18.3
## very important 39.0 42.9 38.0 37.2 32.1
## extremely important 27.9 31.2 51.2 42.2 35.4
## Total 100.0 100.1 100.0 100.0 100.0
## Count 287.0 1345.0 363.0 398.0 240.0
## COUNTRY
## C12C Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 1.1 1.4 NaN 0.5 0.5 2.1
## little important 2.9 4.6 NaN 1.9 3.2 4.3
## somewhat important 22.6 8.3 NaN 11.7 18.6 10.2
## very important 35.8 38.8 NaN 39.1 42.3 27.9
## extremely important 37.6 46.8 NaN 46.7 35.5 55.6
## Total 100.0 99.9 NaN 99.9 100.1 100.1
## Count 274.0 348.0 0 366.0 220.0 768.0
## COUNTRY
## C12C Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 1.0 1.9 2.3 1.6 0.4 1.8
## little important 6.4 6.2 4.9 1.6 2.4 3.1
## somewhat important 12.4 22.9 15.8 8.2 12.5 22.3
## very important 34.7 47.6 34.5 25.1 35.6 46.1
## extremely important 45.5 21.4 42.3 63.4 49.1 26.7
## Total 100.0 100.0 99.8 99.9 100.0 100.0
## Count 404.0 468.0 385.0 183.0 503.0 655.0
## COUNTRY
## C12C Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 6.0 4.5 0.8 0.1 4.2 1.0 1.2
## little important 7.7 4.8 3.8 0.9 3.6 1.0 5.6
## somewhat important 23.3 13.3 18.0 14.3 10.5 5.5 13.9
## very important 35.0 25.3 36.0 46.3 43.7 31.8 31.9
## extremely important 28.0 52.1 41.4 38.4 38.0 60.7 47.5
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.1
## Count 300.0 332.0 394.0 743.0 334.0 201.0 339.0
## COUNTRY
## C12C Malawi Malaysia Mexico Moldova Netherlands
## unimportant 0.6 0.0 1.3 0.5 2.9
## little important 1.7 4.1 4.2 4.1 7.9
## somewhat important 4.1 26.0 8.0 17.6 24.4
## very important 33.7 43.1 30.8 31.2 34.4
## extremely important 59.9 26.8 55.7 46.6 30.4
## Total 100.0 100.0 100.0 100.0 100.0
## Count 172.0 362.0 377.0 221.0 517.0
## COUNTRY
## C12C New Zealand Norway Philippines Poland Portugal Oman
## unimportant 3.4 7.4 0.6 NaN 0.7 3.5
## little important 6.5 18.2 4.0 NaN 2.0 6.6
## somewhat important 22.2 26.6 14.1 NaN 13.9 18.3
## very important 39.2 33.0 42.8 NaN 41.5 39.3
## extremely important 28.7 14.8 38.5 NaN 41.8 32.3
## Total 100.0 100.0 100.0 NaN 99.9 100.0
## Count 526.0 609.0 348.0 0 402.0 257.0
## COUNTRY
## C12C Qatar Romania Russia Serbia Sierra Leone
## unimportant 11.2 2.4 1.3 1.0 1.4
## little important 16.7 4.4 9.0 2.0 0.5
## somewhat important 31.7 13.9 26.4 6.9 6.5
## very important 23.2 26.0 32.6 23.5 37.4
## extremely important 17.2 53.3 30.8 66.6 54.2
## Total 100.0 100.0 100.1 100.0 100.0
## Count 366.0 338.0 390.0 404.0 214.0
## COUNTRY
## C12C Singapore_NON-REP South Africa South Korea Spain
## unimportant 12.8 7.9 0.3 0.3
## little important 24.5 4.6 0.0 1.8
## somewhat important 17.0 14.4 11.1 10.0
## very important 27.7 28.3 43.8 35.2
## extremely important 18.1 44.7 44.9 52.7
## Total 100.1 99.9 100.1 100.0
## Count 94.0 367.0 352.0 389.0
## COUNTRY
## C12C Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 0.7 2.2 0.6 NaN 5.9 0.3
## little important 1.5 2.9 2.8 NaN 33.1 0.3
## somewhat important 7.4 17.5 12.7 NaN 54.8 14.0
## very important 22.1 42.6 43.3 NaN 4.8 47.3
## extremely important 68.4 34.8 40.7 NaN 1.5 38.2
## Total 100.1 100.0 100.1 NaN 100.1 100.1
## Count 272.0 587.0 906.0 0 272.0 372.0
## COUNTRY
## C12C Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 1.1 17.5 NaN 6.0 2.2 NaN
## little important 3.2 15.7 NaN 6.8 7.8 NaN
## somewhat important 7.4 23.5 NaN 20.0 26.3 NaN
## very important 40.4 20.7 NaN 35.0 36.0 NaN
## extremely important 47.9 22.6 NaN 32.2 27.7 NaN
## Total 100.0 100.0 NaN 100.0 100.0 NaN
## Count 94.0 217.0 0 689.0 411.0 0#Monitor and scrutinize political leaders.#
colPercents(xtabs(~C12D+COUNTRY, data=wjsn))## COUNTRY
## C12D Albania Argentina Australia Austria Bangladesh
## unimportant 14.0 1.7 13.6 17.4 2.5
## little important 17.1 5.7 9.6 13.5 5.6
## somewhat important 32.4 20.9 16.4 23.7 28.7
## very important 25.9 38.3 28.5 23.9 31.5
## extremely important 10.6 33.4 32.0 21.5 31.8
## Total 100.0 100.0 100.1 100.0 100.1
## Count 293.0 350.0 604.0 769.0 321.0
## COUNTRY
## C12D Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 14.0 2.2 3.2 4.3 NaN NaN
## little important 9.0 5.6 4.9 11.7 NaN NaN
## somewhat important 21.9 25.8 16.2 31.9 NaN NaN
## very important 35.4 36.0 27.0 27.9 NaN NaN
## extremely important 19.6 30.3 48.6 24.2 NaN NaN
## Total 99.9 99.9 99.9 100.0 NaN NaN
## Count 565.0 89.0 185.0 376.0 0 0
## COUNTRY
## C12D Canada Chile China Colombia Croatia Cyprus
## unimportant 9.4 7.8 10.4 4.1 0.7 14.3
## little important 8.5 7.4 15.5 3.5 1.6 3.4
## somewhat important 14.3 18.4 33.4 13.5 9.3 18.2
## very important 24.0 22.9 31.6 26.7 22.5 29.1
## extremely important 43.9 43.5 9.1 52.2 65.8 35.0
## Total 100.1 100.0 100.0 100.0 99.9 100.0
## Count 342.0 446.0 637.0 540.0 550.0 203.0
## COUNTRY
## C12D Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 9.1 1.0 4.5 1.8 2.4
## little important 14.0 3.5 3.9 6.5 2.8
## somewhat important 24.9 15.1 17.9 17.1 8.4
## very important 27.4 37.3 33.6 34.7 37.2
## extremely important 24.6 43.1 40.1 39.9 49.2
## Total 100.0 100.0 100.0 100.0 100.0
## Count 285.0 1342.0 357.0 398.0 250.0
## COUNTRY
## C12D Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 9.9 15.0 NaN 9.3 1.8 29.2
## little important 12.4 13.8 NaN 9.3 6.8 14.6
## somewhat important 24.5 23.8 NaN 17.5 35.3 19.8
## very important 31.8 26.4 NaN 27.1 37.6 20.2
## extremely important 21.5 21.1 NaN 36.7 18.6 16.1
## Total 100.1 100.1 NaN 99.9 100.1 99.9
## Count 274.0 341.0 0 365.0 221.0 746.0
## COUNTRY
## C12D Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 5.9 2.2 20.6 13.7 3.9 3.4
## little important 11.8 3.2 13.9 12.0 9.2 4.5
## somewhat important 17.0 14.6 21.7 31.7 24.1 36.2
## very important 24.9 43.9 20.1 26.2 30.3 41.1
## extremely important 40.4 36.1 23.6 16.4 32.5 14.9
## Total 100.0 100.0 99.9 100.0 100.0 100.1
## Count 406.0 465.0 373.0 183.0 511.0 650.0
## COUNTRY
## C12D Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 9.6 13.7 9.0 0.0 9.3 7.1 14.3
## little important 7.6 10.6 18.4 1.1 11.4 7.1 10.7
## somewhat important 21.3 12.8 28.6 8.1 23.4 22.3 23.0
## very important 30.2 21.9 23.8 33.9 30.0 31.0 27.5
## extremely important 31.2 41.0 20.2 56.9 25.8 32.5 24.5
## Total 99.9 100.0 100.0 100.0 99.9 100.0 100.0
## Count 301.0 329.0 391.0 743.0 333.0 197.0 335.0
## COUNTRY
## C12D Malawi Malaysia Mexico Moldova Netherlands
## unimportant 1.2 2.0 2.1 10.9 21.5
## little important 8.2 8.2 2.9 13.6 27.2
## somewhat important 15.9 39.5 8.0 18.1 23.2
## very important 25.9 33.6 33.2 27.6 14.6
## extremely important 48.8 16.7 53.7 29.9 13.6
## Total 100.0 100.0 99.9 100.1 100.1
## Count 170.0 354.0 374.0 221.0 508.0
## COUNTRY
## C12D New Zealand Norway Philippines Poland Portugal Oman
## unimportant 9.0 16.0 0.9 NaN 2.5 2.7
## little important 10.6 22.2 3.7 NaN 6.2 8.9
## somewhat important 18.8 23.2 14.7 NaN 12.9 54.9
## very important 26.1 26.7 37.8 NaN 31.3 22.6
## extremely important 35.5 11.9 42.9 NaN 47.0 10.9
## Total 100.0 100.0 100.0 NaN 99.9 100.0
## Count 521.0 599.0 347.0 0 402.0 257.0
## COUNTRY
## C12D Qatar Romania Russia Serbia Sierra Leone
## unimportant 26.7 13.1 10.0 6.7 4.1
## little important 29.7 13.1 21.5 6.2 3.7
## somewhat important 13.9 22.6 40.0 17.2 12.4
## very important 18.6 22.9 19.0 27.4 31.2
## extremely important 11.1 28.3 9.5 42.5 48.6
## Total 100.0 100.0 100.0 100.0 100.0
## Count 360.0 336.0 390.0 402.0 218.0
## COUNTRY
## C12D Singapore_NON-REP South Africa South Korea Spain
## unimportant 13.5 13.9 0.3 3.4
## little important 12.4 8.7 1.7 4.4
## somewhat important 23.6 13.9 12.0 13.0
## very important 31.5 28.1 35.4 30.4
## extremely important 19.1 35.2 50.6 48.8
## Total 100.1 99.8 100.0 100.0
## Count 89.0 366.0 350.0 385.0
## COUNTRY
## C12D Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 2.2 2.6 10.6 NaN 0.0 0.3
## little important 3.7 2.9 15.7 NaN 0.0 1.4
## somewhat important 10.4 7.5 27.1 NaN 9.2 25.4
## very important 20.0 30.8 31.3 NaN 53.3 39.2
## extremely important 63.7 56.2 15.3 NaN 37.5 33.8
## Total 100.0 100.0 100.0 NaN 100.0 100.1
## Count 270.0 587.0 907.0 0 272.0 370.0
## COUNTRY
## C12D Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 2.2 20.8 NaN 19.1 2.4 NaN
## little important 5.4 15.9 NaN 12.8 3.7 NaN
## somewhat important 6.5 24.6 NaN 20.0 7.8 NaN
## very important 48.4 18.8 NaN 19.0 31.1 NaN
## extremely important 37.6 19.8 NaN 29.1 55.0 NaN
## Total 100.1 99.9 NaN 100.0 100.0 NaN
## Count 93.0 207.0 0 674.0 409.0 0#Monitor and scrutinize business.#
colPercents(xtabs(~C12E+COUNTRY, data=wjsn))## COUNTRY
## C12E Albania Argentina Australia Austria Bangladesh
## unimportant 18.3 3.2 10.0 18.5 6.3
## little important 21.4 13.6 11.6 17.3 13.3
## somewhat important 32.4 23.8 24.4 24.3 29.1
## very important 23.8 30.1 33.7 21.9 24.7
## extremely important 4.1 29.3 20.3 18.0 26.6
## Total 100.0 100.0 100.0 100.0 100.0
## Count 290.0 345.0 602.0 773.0 316.0
## COUNTRY
## C12E Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 12.4 2.2 3.3 8.5 NaN NaN
## little important 13.5 5.6 2.8 23.7 NaN NaN
## somewhat important 27.8 33.3 18.9 32.5 NaN NaN
## very important 28.7 30.0 23.9 19.5 NaN NaN
## extremely important 17.5 28.9 51.1 15.7 NaN NaN
## Total 99.9 100.0 100.0 99.9 NaN NaN
## Count 571.0 90.0 180.0 375.0 0 0
## COUNTRY
## C12E Canada Chile China Colombia Croatia Cyprus
## unimportant 9.2 8.8 7.4 6.9 0.5 14.4
## little important 8.9 9.1 15.1 8.2 1.1 4.0
## somewhat important 19.3 21.0 37.0 17.1 10.9 33.3
## very important 25.9 23.0 32.5 27.5 22.7 20.9
## extremely important 36.8 38.1 8.0 40.3 64.7 27.4
## Total 100.1 100.0 100.0 100.0 99.9 100.0
## Count 348.0 452.0 637.0 538.0 550.0 201.0
## COUNTRY
## C12E Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 12.1 0.8 6.5 5.0 3.6
## little important 15.6 3.2 11.9 12.3 10.1
## somewhat important 33.2 21.7 29.1 28.9 22.2
## very important 24.2 40.2 30.5 29.4 33.1
## extremely important 14.9 34.1 22.0 24.4 31.0
## Total 100.0 100.0 100.0 100.0 100.0
## Count 289.0 1339.0 354.0 398.0 248.0
## COUNTRY
## C12E Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 8.0 9.5 NaN 7.4 3.6 25.8
## little important 16.4 11.6 NaN 14.0 12.6 16.6
## somewhat important 27.7 20.5 NaN 22.8 38.7 23.4
## very important 26.6 32.9 NaN 28.0 29.3 19.8
## extremely important 21.2 25.4 NaN 27.7 15.8 14.4
## Total 99.9 99.9 NaN 99.9 100.0 100.0
## Count 274.0 346.0 0 364.0 222.0 748.0
## COUNTRY
## C12E Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 5.9 1.7 17.6 15.4 7.5 2.8
## little important 16.1 2.8 18.9 14.3 14.2 9.2
## somewhat important 20.8 20.1 24.5 22.0 27.6 43.7
## very important 25.2 41.0 20.8 27.5 29.2 34.2
## extremely important 31.9 34.4 18.1 20.9 21.5 10.2
## Total 99.9 100.0 99.9 100.1 100.0 100.1
## Count 404.0 468.0 375.0 182.0 493.0 650.0
## COUNTRY
## C12E Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 10.0 15.8 8.2 0.1 8.2 8.9 18.1
## little important 11.0 11.3 18.3 5.0 14.0 15.1 19.0
## somewhat important 28.3 15.5 29.3 32.0 23.7 29.7 26.9
## very important 26.3 24.5 25.2 38.8 30.7 24.0 22.1
## extremely important 24.3 32.8 19.0 24.1 23.4 22.4 13.9
## Total 99.9 99.9 100.0 100.0 100.0 100.1 100.0
## Count 300.0 335.0 389.0 744.0 329.0 192.0 331.0
## COUNTRY
## C12E Malawi Malaysia Mexico Moldova Netherlands
## unimportant 1.8 2.3 4.8 14.5 15.4
## little important 3.0 10.0 7.8 19.5 25.9
## somewhat important 19.5 39.0 27.3 28.1 28.7
## very important 34.9 37.0 31.0 24.0 17.7
## extremely important 40.8 11.7 29.1 14.0 12.3
## Total 100.0 100.0 100.0 100.1 100.0
## Count 169.0 351.0 374.0 221.0 513.0
## COUNTRY
## C12E New Zealand Norway Philippines Poland Portugal Oman
## unimportant 8.0 16.5 0.9 NaN 3.2 6.2
## little important 12.0 26.2 6.4 NaN 5.4 18.3
## somewhat important 22.4 23.2 19.9 NaN 16.3 21.0
## very important 26.6 23.3 38.4 NaN 32.8 35.0
## extremely important 31.0 10.8 34.4 NaN 42.4 19.5
## Total 100.0 100.0 100.0 NaN 100.1 100.0
## Count 523.0 600.0 346.0 0 406.0 257.0
## COUNTRY
## C12E Qatar Romania Russia Serbia Sierra Leone
## unimportant 26.6 14.0 12.8 6.5 7.6
## little important 25.5 19.6 23.8 7.8 9.5
## somewhat important 18.8 28.3 39.5 16.3 27.5
## very important 18.0 19.0 14.9 30.7 36.5
## extremely important 11.0 19.0 9.0 38.7 19.0
## Total 99.9 99.9 100.0 100.0 100.1
## Count 372.0 336.0 390.0 398.0 211.0
## COUNTRY
## C12E Singapore_NON-REP South Africa South Korea Spain
## unimportant 11.8 9.8 0.3 3.9
## little important 14.0 9.5 1.1 4.9
## somewhat important 38.7 19.3 10.3 13.5
## very important 20.4 30.2 37.8 28.5
## extremely important 15.1 31.1 50.4 49.2
## Total 100.0 99.9 99.9 100.0
## Count 93.0 367.0 349.0 386.0
## COUNTRY
## C12E Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 2.2 2.2 10.9 NaN 1.8 0.3
## little important 4.4 4.3 21.2 NaN 31.6 1.4
## somewhat important 11.7 11.1 29.8 NaN 60.3 30.5
## very important 17.6 36.5 26.5 NaN 5.1 43.8
## extremely important 64.1 46.0 11.7 NaN 1.1 24.1
## Total 100.0 100.1 100.1 NaN 99.9 100.1
## Count 273.0 587.0 907.0 0 272.0 370.0
## COUNTRY
## C12E Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 4.3 19.0 NaN 9.4 2.2 NaN
## little important 14.0 14.3 NaN 11.6 5.9 NaN
## somewhat important 18.3 29.5 NaN 20.4 22.7 NaN
## very important 43.0 17.6 NaN 25.6 39.3 NaN
## extremely important 20.4 19.5 NaN 33.0 30.0 NaN
## Total 100.0 99.9 NaN 100.0 100.1 NaN
## Count 93.0 210.0 0 681.0 410.0 0#Set the political agenda.#
colPercents(xtabs(~C12F+COUNTRY, data=wjsn))## COUNTRY
## C12F Albania Argentina Australia Austria Bangladesh
## unimportant 35.5 7.8 35.0 29.4 17.2
## little important 23.8 11.0 21.1 30.5 14.9
## somewhat important 21.0 33.2 24.9 30.3 27.7
## very important 16.6 31.8 15.3 8.4 26.7
## extremely important 3.1 16.2 3.7 1.4 13.5
## Total 100.0 100.0 100.0 100.0 100.0
## Count 290.0 346.0 602.0 766.0 296.0
## COUNTRY
## C12F Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 18.9 9.0 20.2 15.4 NaN NaN
## little important 19.8 9.0 11.8 30.9 NaN NaN
## somewhat important 34.6 32.6 26.4 33.2 NaN NaN
## very important 19.8 31.5 23.6 13.8 NaN NaN
## extremely important 7.0 18.0 18.0 6.6 NaN NaN
## Total 100.1 100.1 100.0 99.9 NaN NaN
## Count 561.0 89.0 178.0 376.0 0 0
## COUNTRY
## C12F Canada Chile China Colombia Croatia Cyprus
## unimportant 28.2 15.9 16.7 6.5 9.2 28.4
## little important 22.8 12.7 23.8 7.8 8.8 7.1
## somewhat important 25.5 20.9 30.6 20.3 30.5 35.0
## very important 16.3 20.2 23.6 27.8 29.3 19.1
## extremely important 7.1 30.2 5.4 37.5 22.2 10.4
## Total 99.9 99.9 100.1 99.9 100.0 100.0
## Count 337.0 440.0 635.0 536.0 522.0 183.0
## COUNTRY
## C12F Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 15.6 8.9 9.6 4.8 3.6
## little important 16.7 26.5 10.1 10.3 7.3
## somewhat important 36.1 34.5 20.8 28.9 20.2
## very important 24.3 22.6 32.1 32.2 32.0
## extremely important 7.3 7.5 27.3 23.9 36.8
## Total 100.0 100.0 99.9 100.1 99.9
## Count 288.0 1338.0 355.0 398.0 247.0
## COUNTRY
## C12F Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 12.8 17.1 NaN 24.9 22.0 38.0
## little important 16.5 13.3 NaN 30.3 29.9 25.9
## somewhat important 27.1 23.9 NaN 29.7 33.2 26.2
## very important 29.7 28.6 NaN 12.5 12.1 8.1
## extremely important 13.9 17.1 NaN 2.5 2.8 1.7
## Total 100.0 100.0 NaN 99.9 100.0 99.9
## Count 273.0 339.0 0 353.0 214.0 744.0
## COUNTRY
## C12F Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 26.6 7.7 27.3 73.3 20.1 15.5
## little important 30.6 21.6 18.9 19.2 18.5 18.6
## somewhat important 26.8 40.5 28.7 4.7 22.9 37.6
## very important 9.0 24.4 15.8 1.2 23.9 22.7
## extremely important 7.0 5.7 9.3 1.7 14.5 5.5
## Total 100.0 99.9 100.0 100.1 99.9 99.9
## Count 399.0 454.0 366.0 172.0 497.0 633.0
## COUNTRY
## C12F Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 23.8 18.5 22.8 0.7 14.5 23.1 23.9
## little important 24.4 11.9 29.7 6.7 11.2 15.6 21.7
## somewhat important 31.4 18.8 25.2 32.2 26.1 23.1 26.6
## very important 15.5 19.3 15.2 40.1 26.1 22.0 18.3
## extremely important 5.0 31.5 7.1 20.4 22.1 16.1 9.5
## Total 100.1 100.0 100.0 100.1 100.0 99.9 100.0
## Count 303.0 336.0 381.0 746.0 330.0 186.0 327.0
## COUNTRY
## C12F Malawi Malaysia Mexico Moldova Netherlands
## unimportant 8.0 10.1 4.8 16.6 22.6
## little important 7.4 19.1 5.1 27.2 34.5
## somewhat important 19.0 37.6 19.5 22.1 26.0
## very important 30.1 28.3 37.1 21.7 12.7
## extremely important 35.6 4.9 33.6 12.4 4.2
## Total 100.1 100.0 100.1 100.0 100.0
## Count 163.0 346.0 375.0 217.0 504.0
## COUNTRY
## C12F New Zealand Norway Philippines Poland Portugal Oman
## unimportant 28.5 13.9 7.8 NaN 15.3 6.6
## little important 24.1 23.0 13.2 NaN 18.0 21.4
## somewhat important 29.2 26.2 34.8 NaN 37.5 27.6
## very important 13.0 27.7 30.5 NaN 23.5 35.0
## extremely important 5.1 9.2 13.8 NaN 5.7 9.3
## Total 99.9 100.0 100.1 NaN 100.0 99.9
## Count 506.0 599.0 348.0 0 405.0 257.0
## COUNTRY
## C12F Qatar Romania Russia Serbia Sierra Leone
## unimportant 18.8 23.1 25.6 18.6 8.6
## little important 23.0 22.8 27.9 14.8 12.4
## somewhat important 21.9 23.7 28.2 23.5 23.4
## very important 19.0 17.4 13.8 20.2 32.1
## extremely important 17.3 13.2 4.4 23.0 23.4
## Total 100.0 100.2 99.9 100.1 99.9
## Count 352.0 334.0 390.0 392.0 209.0
## COUNTRY
## C12F Singapore_NON-REP South Africa South Korea Spain
## unimportant 20.7 38.7 2.0 10.1
## little important 13.8 21.5 5.7 15.8
## somewhat important 20.7 22.4 26.3 37.2
## very important 25.3 11.6 47.7 24.5
## extremely important 19.5 5.8 18.3 12.4
## Total 100.0 100.0 100.0 100.0
## Count 87.0 344.0 350.0 387.0
## COUNTRY
## C12F Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 10.7 24.5 17.3 NaN 0.0 0.8
## little important 14.4 24.7 30.3 NaN 0.0 1.1
## somewhat important 21.4 32.4 32.4 NaN 9.9 33.1
## very important 13.3 13.6 15.9 NaN 54.4 49.6
## extremely important 40.2 4.8 4.0 NaN 35.7 15.4
## Total 100.0 100.0 99.9 NaN 100.0 100.0
## Count 271.0 559.0 903.0 0 272.0 369.0
## COUNTRY
## C12F Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 7.6 25.6 NaN 33.6 38.8 NaN
## little important 6.5 14.8 NaN 23.6 28.3 NaN
## somewhat important 16.3 21.7 NaN 27.7 21.6 NaN
## very important 43.5 15.3 NaN 10.5 7.9 NaN
## extremely important 26.1 22.7 NaN 4.6 3.4 NaN
## Total 100.0 100.1 NaN 100.0 100.0 NaN
## Count 92.0 203.0 0 669.0 407.0 0#Influence public opinion.#
colPercents(xtabs(~C12G+COUNTRY, data=wjsn))## COUNTRY
## C12G Albania Argentina Australia Austria Bangladesh
## unimportant 3.1 6.7 22.1 18.7 8.0
## little important 5.5 10.7 20.3 24.7 8.7
## somewhat important 14.3 33.1 35.4 39.2 24.0
## very important 41.0 28.7 17.0 13.7 25.3
## extremely important 36.2 20.8 5.2 3.7 34.0
## Total 100.1 100.0 100.0 100.0 100.0
## Count 293.0 356.0 601.0 781.0 312.0
## COUNTRY
## C12G Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 21.8 4.5 13.6 9.3 NaN NaN
## little important 27.2 13.6 13.6 14.4 NaN NaN
## somewhat important 35.5 39.8 24.5 38.6 NaN NaN
## very important 12.1 26.1 20.1 20.5 NaN NaN
## extremely important 3.3 15.9 28.3 17.3 NaN NaN
## Total 99.9 99.9 100.1 100.1 NaN NaN
## Count 569.0 88.0 184.0 376.0 0 0
## COUNTRY
## C12G Canada Chile China Colombia Croatia Cyprus
## unimportant 17.6 5.2 3.0 3.5 2.8 11.7
## little important 20.9 7.9 8.4 4.4 4.1 10.7
## somewhat important 32.8 17.8 30.4 17.0 25.2 35.0
## very important 19.7 27.0 44.0 30.2 35.9 22.3
## extremely important 9.0 42.1 14.2 44.8 32.0 20.3
## Total 100.0 100.0 100.0 99.9 100.0 100.0
## Count 335.0 466.0 641.0 540.0 543.0 197.0
## COUNTRY
## C12G Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 21.9 17.5 8.0 1.5 2.8
## little important 23.0 30.0 9.1 4.5 5.6
## somewhat important 32.9 28.8 19.9 15.1 19.7
## very important 14.5 17.1 34.3 31.2 26.1
## extremely important 7.8 6.6 28.5 47.7 45.8
## Total 100.1 100.0 99.8 100.0 100.0
## Count 283.0 1337.0 361.0 398.0 249.0
## COUNTRY
## C12G Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 4.4 21.2 NaN 4.2 30.3 19.7
## little important 6.6 10.9 NaN 22.2 30.3 19.8
## somewhat important 33.6 20.6 NaN 39.6 24.0 37.9
## very important 35.4 24.7 NaN 26.0 12.5 17.6
## extremely important 20.1 22.6 NaN 8.0 2.9 5.1
## Total 100.1 100.0 NaN 100.0 100.0 100.1
## Count 274.0 340.0 0 361.0 208.0 752.0
## COUNTRY
## C12G Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 17.3 3.7 10.3 56.6 8.1 11.5
## little important 22.4 15.9 14.1 24.0 10.5 7.4
## somewhat important 28.6 40.5 26.9 13.7 20.2 31.5
## very important 19.3 32.3 28.0 5.7 28.9 38.5
## extremely important 12.3 7.5 20.7 0.0 32.4 11.1
## Total 99.9 99.9 100.0 100.0 100.1 100.0
## Count 398.0 464.0 368.0 175.0 506.0 650.0
## COUNTRY
## C12G Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 16.2 3.3 25.9 4.6 5.1 5.2 2.1
## little important 21.2 4.2 26.2 16.0 8.8 8.3 5.1
## somewhat important 37.0 12.8 24.4 36.4 18.4 12.0 30.5
## very important 17.5 25.1 17.1 27.8 35.3 26.6 38.3
## extremely important 8.1 54.6 6.5 15.3 32.3 47.9 24.0
## Total 100.0 100.0 100.1 100.1 99.9 100.0 100.0
## Count 297.0 335.0 386.0 745.0 331.0 192.0 334.0
## COUNTRY
## C12G Malawi Malaysia Mexico Moldova Netherlands
## unimportant 3.0 3.3 4.0 8.3 14.1
## little important 8.4 10.8 3.5 12.4 30.3
## somewhat important 13.9 28.5 12.0 27.5 32.3
## very important 27.7 40.6 28.8 26.1 17.8
## extremely important 47.0 16.9 51.7 25.7 5.5
## Total 100.0 100.1 100.0 100.0 100.0
## Count 166.0 362.0 375.0 218.0 505.0
## COUNTRY
## C12G New Zealand Norway Philippines Poland Portugal Oman
## unimportant 20.4 13.7 1.7 NaN 16.7 3.9
## little important 16.5 25.9 8.1 NaN 20.0 10.9
## somewhat important 35.3 32.3 23.1 NaN 34.4 19.1
## very important 18.4 21.7 42.4 NaN 22.7 38.9
## extremely important 9.3 6.4 24.8 NaN 6.2 27.2
## Total 99.9 100.0 100.1 NaN 100.0 100.0
## Count 515.0 591.0 347.0 0 401.0 257.0
## COUNTRY
## C12G Qatar Romania Russia Serbia Sierra Leone
## unimportant 4.5 11.6 4.4 3.0 4.4
## little important 17.3 12.8 15.4 4.3 8.8
## somewhat important 20.3 31.2 34.9 18.5 18.6
## very important 23.7 22.8 24.4 28.1 31.9
## extremely important 34.1 21.7 21.0 46.1 36.3
## Total 99.9 100.1 100.1 100.0 100.0
## Count 375.0 337.0 390.0 399.0 204.0
## COUNTRY
## C12G Singapore_NON-REP South Africa South Korea Spain
## unimportant 8.7 11.6 4.8 5.7
## little important 16.3 11.9 21.4 10.1
## somewhat important 37.0 32.9 46.4 32.0
## very important 29.3 24.6 21.7 32.8
## extremely important 8.7 19.0 5.7 19.4
## Total 100.0 100.0 100.0 100.0
## Count 92.0 353.0 351.0 387.0
## COUNTRY
## C12G Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 0.7 22.9 19.8 NaN 0.0 0.3
## little important 1.1 23.6 29.0 NaN 1.1 2.5
## somewhat important 6.7 28.6 33.9 NaN 11.8 37.3
## very important 16.0 18.9 14.2 NaN 45.6 43.3
## extremely important 75.5 6.1 3.1 NaN 41.5 16.7
## Total 100.0 100.1 100.0 NaN 100.0 100.1
## Count 269.0 560.0 894.0 0 272.0 365.0
## COUNTRY
## C12G Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 4.3 20.7 NaN 18.1 32.3 NaN
## little important 7.4 16.0 NaN 23.0 20.4 NaN
## somewhat important 10.6 14.1 NaN 35.2 28.3 NaN
## very important 31.9 23.9 NaN 16.2 13.3 NaN
## extremely important 45.7 25.4 NaN 7.5 5.7 NaN
## Total 99.9 100.1 NaN 100.0 100.0 NaN
## Count 94.0 213.0 0 684.0 406.0 0#Advocate for social change.#
colPercents(xtabs(~C12H+COUNTRY, data=wjsn))## COUNTRY
## C12H Albania Argentina Australia Austria Bangladesh
## unimportant 3.1 7.1 16.3 14.6 4.6
## little important 7.6 7.4 14.2 17.0 5.3
## somewhat important 17.0 15.9 31.7 35.9 10.5
## very important 42.6 34.6 26.3 23.0 28.5
## extremely important 29.8 35.1 11.5 9.4 51.1
## Total 100.1 100.1 100.0 99.9 100.0
## Count 289.0 353.0 600.0 786.0 323.0
## COUNTRY
## C12H Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 23.4 12.2 5.4 5.6 NaN NaN
## little important 20.9 8.9 4.9 8.2 NaN NaN
## somewhat important 34.1 25.6 16.3 22.1 NaN NaN
## very important 17.0 28.9 23.4 25.0 NaN NaN
## extremely important 4.6 24.4 50.0 39.1 NaN NaN
## Total 100.0 100.0 100.0 100.0 NaN NaN
## Count 569.0 90.0 184.0 376.0 0 0
## COUNTRY
## C12H Canada Chile China Colombia Croatia Cyprus
## unimportant 20.7 7.2 6.4 1.8 3.3 1.0
## little important 16.7 8.7 12.4 3.9 4.4 0.5
## somewhat important 26.8 22.9 35.9 9.6 16.7 27.9
## very important 22.5 19.2 33.6 22.3 32.3 25.0
## extremely important 13.3 41.9 11.6 62.4 43.3 45.6
## Total 100.0 99.9 99.9 100.0 100.0 100.0
## Count 347.0 458.0 637.0 543.0 545.0 204.0
## COUNTRY
## C12H Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 21.5 17.3 4.7 2.0 1.6
## little important 24.0 29.9 5.5 2.8 3.7
## somewhat important 29.0 26.9 13.5 18.9 16.3
## very important 13.3 18.5 33.6 28.5 24.1
## extremely important 12.2 7.5 42.7 47.9 54.3
## Total 100.0 100.1 100.0 100.1 100.0
## Count 279.0 1333.0 363.0 397.0 245.0
## COUNTRY
## C12H Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 4.4 2.9 NaN 8.3 25.2 20.1
## little important 12.1 3.8 NaN 23.7 27.2 19.6
## somewhat important 28.6 13.6 NaN 37.2 26.2 30.7
## very important 36.3 36.7 NaN 24.0 14.1 22.0
## extremely important 18.7 43.1 NaN 6.9 7.3 7.5
## Total 100.1 100.1 NaN 100.1 100.0 99.9
## Count 273.0 346.0 0 363.0 206.0 745.0
## COUNTRY
## C12H Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 4.4 7.2 7.2 39.2 4.8 1.1
## little important 8.6 16.5 11.2 25.9 4.8 2.1
## somewhat important 18.5 38.0 31.6 22.9 16.0 15.8
## very important 28.6 29.1 29.1 7.2 31.9 54.7
## extremely important 39.8 9.1 20.9 4.8 42.6 26.3
## Total 99.9 99.9 100.0 100.0 100.1 100.0
## Count 405.0 460.0 374.0 166.0 505.0 653.0
## COUNTRY
## C12H Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 13.7 4.4 14.0 5.9 5.4 7.7 1.8
## little important 15.7 5.0 11.7 21.8 5.1 3.1 6.0
## somewhat important 33.8 10.4 27.3 40.6 10.7 16.9 24.1
## very important 22.7 19.2 26.5 23.4 34.0 21.0 39.0
## extremely important 14.0 60.9 20.4 8.2 44.8 51.3 29.2
## Total 99.9 99.9 99.9 99.9 100.0 100.0 100.1
## Count 299.0 338.0 392.0 743.0 335.0 195.0 336.0
## COUNTRY
## C12H Malawi Malaysia Mexico Moldova Netherlands
## unimportant 1.8 1.9 1.9 5.0 14.8
## little important 2.4 9.6 1.6 3.2 31.6
## somewhat important 13.0 26.7 6.9 18.8 30.6
## very important 29.6 43.3 23.9 28.9 18.6
## extremely important 53.3 18.5 65.8 44.0 4.5
## Total 100.1 100.0 100.1 99.9 100.1
## Count 169.0 363.0 377.0 218.0 494.0
## COUNTRY
## C12H New Zealand Norway Philippines Poland Portugal Oman
## unimportant 14.4 11.8 0.9 NaN 9.4 2.3
## little important 17.7 22.5 2.9 NaN 12.7 7.0
## somewhat important 29.0 32.8 11.0 NaN 30.0 14.0
## very important 24.6 24.0 35.7 NaN 29.5 38.5
## extremely important 14.4 9.0 49.6 NaN 18.4 38.1
## Total 100.1 100.1 100.1 NaN 100.0 99.9
## Count 521.0 592.0 347.0 0 403.0 257.0
## COUNTRY
## C12H Qatar Romania Russia Serbia Sierra Leone
## unimportant 3.1 3.6 3.6 4.0 0.9
## little important 18.1 5.0 5.4 4.7 0.9
## somewhat important 21.7 20.5 24.9 14.4 7.8
## very important 25.4 21.7 32.8 28.0 26.3
## extremely important 31.7 49.3 33.3 48.9 64.1
## Total 100.0 100.1 100.0 100.0 100.0
## Count 382.0 337.0 390.0 403.0 217.0
## COUNTRY
## C12H Singapore_NON-REP South Africa South Korea Spain
## unimportant 11.8 6.5 2.3 2.6
## little important 15.1 10.4 4.8 8.0
## somewhat important 31.2 27.2 33.9 19.9
## very important 28.0 26.7 38.7 35.9
## extremely important 14.0 29.2 20.2 33.6
## Total 100.1 100.0 99.9 100.0
## Count 93.0 367.0 351.0 387.0
## COUNTRY
## C12H Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 0.7 16.6 21.1 NaN 0.0 0.3
## little important 0.4 17.8 25.8 NaN 0.0 0.8
## somewhat important 5.8 27.0 31.5 NaN 6.6 23.7
## very important 12.0 27.9 15.3 NaN 50.0 46.6
## extremely important 81.0 10.6 6.2 NaN 43.4 28.6
## Total 99.9 99.9 99.9 NaN 100.0 100.0
## Count 274.0 566.0 894.0 0 272.0 367.0
## COUNTRY
## C12H Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 2.2 26.2 NaN 23.3 26.0 NaN
## little important 3.2 20.4 NaN 16.6 16.0 NaN
## somewhat important 12.9 20.9 NaN 31.3 28.4 NaN
## very important 36.6 12.0 NaN 17.8 19.2 NaN
## extremely important 45.2 20.4 NaN 11.0 10.4 NaN
## Total 100.1 99.9 NaN 100.0 100.0 NaN
## Count 93.0 191.0 0 674.0 412.0 0#Be an adversary of the government.#
colPercents(xtabs(~C12J+COUNTRY, data=wjsn))## COUNTRY
## C12J Albania Argentina Australia Austria Bangladesh
## unimportant 8.6 48.1 48.5 28.9 37.6
## little important 7.2 22.5 20.8 23.7 17.5
## somewhat important 19.2 17.7 19.0 27.1 16.0
## very important 38.8 6.8 10.0 12.9 10.6
## extremely important 26.1 4.8 1.7 7.4 18.3
## Total 99.9 99.9 100.0 100.0 100.0
## Count 291.0 351.0 600.0 752.0 263.0
## COUNTRY
## C12J Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 68.0 20.0 33.5 52.4 NaN NaN
## little important 21.4 8.9 14.1 27.4 NaN NaN
## somewhat important 8.5 36.7 24.1 13.0 NaN NaN
## very important 2.2 15.6 12.9 5.3 NaN NaN
## extremely important 0.0 18.9 15.3 1.9 NaN NaN
## Total 100.1 100.1 99.9 100.0 NaN NaN
## Count 556.0 90.0 170.0 376.0 0 0
## COUNTRY
## C12J Canada Chile China Colombia Croatia Cyprus
## unimportant 47.3 46.6 35.1 32.4 37.6 30.8
## little important 20.8 21.1 18.4 17.2 18.0 13.3
## somewhat important 18.1 18.8 21.5 30.6 25.9 32.3
## very important 8.4 7.6 17.5 10.7 9.2 7.7
## extremely important 5.4 6.0 7.5 9.1 9.2 15.9
## Total 100.0 100.1 100.0 100.0 99.9 100.0
## Count 332.0 436.0 629.0 540.0 521.0 195.0
## COUNTRY
## C12J Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 64.4 9.6 47.4 6.5 41.6
## little important 20.4 18.4 15.3 7.3 22.3
## somewhat important 13.5 28.3 15.0 33.9 18.1
## very important 0.4 25.3 11.3 26.9 10.9
## extremely important 1.5 18.4 11.0 25.4 7.1
## Total 100.2 100.0 100.0 100.0 100.0
## Count 275.0 1334.0 346.0 398.0 238.0
## COUNTRY
## C12J Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 25.5 42.3 NaN 38.0 73.0 40.3
## little important 25.8 18.9 NaN 30.5 19.0 19.1
## somewhat important 33.2 18.6 NaN 20.5 7.4 20.7
## very important 9.2 10.3 NaN 7.5 0.5 12.9
## extremely important 6.3 9.9 NaN 3.5 0.0 7.0
## Total 100.0 100.0 NaN 100.0 99.9 100.0
## Count 271.0 312.0 0 347.0 189.0 739.0
## COUNTRY
## C12J Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 40.8 26.2 36.3 54.5 19.8 16.7
## little important 22.2 32.0 18.0 20.6 17.1 12.8
## somewhat important 18.1 27.3 22.2 19.4 29.1 60.0
## very important 10.3 10.4 14.4 3.0 17.1 7.4
## extremely important 8.6 4.0 9.1 2.4 16.9 3.1
## Total 100.0 99.9 100.0 99.9 100.0 100.0
## Count 397.0 450.0 361.0 165.0 491.0 647.0
## COUNTRY
## C12J Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 33.3 17.8 66.7 22.9 27.0 3.5 48.9
## little important 24.9 11.0 20.8 43.7 21.8 5.5 27.2
## somewhat important 24.9 28.2 8.3 23.0 15.2 16.5 16.8
## very important 11.1 17.2 2.3 7.7 20.6 27.5 5.5
## extremely important 5.7 25.8 1.8 2.7 15.5 47.0 1.6
## Total 99.9 100.0 99.9 100.0 100.1 100.0 100.0
## Count 297.0 326.0 384.0 742.0 330.0 200.0 309.0
## COUNTRY
## C12J Malawi Malaysia Mexico Moldova Netherlands
## unimportant 31.2 9.9 32.7 28.5 11.7
## little important 8.9 12.5 22.2 16.8 14.6
## somewhat important 12.7 32.0 24.1 22.4 27.5
## very important 24.8 32.3 14.3 18.2 28.1
## extremely important 22.3 13.3 6.8 14.0 18.1
## Total 99.9 100.0 100.1 99.9 100.0
## Count 157.0 353.0 370.0 214.0 513.0
## COUNTRY
## C12J New Zealand Norway Philippines Poland Portugal Oman
## unimportant 42.3 22.9 14.9 NaN NaN 23.7
## little important 23.3 27.3 25.8 NaN NaN 28.0
## somewhat important 22.5 26.4 33.2 NaN NaN 28.0
## very important 8.1 17.8 19.2 NaN NaN 10.9
## extremely important 3.8 5.6 6.9 NaN NaN 9.3
## Total 100.0 100.0 100.0 NaN NaN 99.9
## Count 494.0 594.0 349.0 0 0 257.0
## COUNTRY
## C12J Qatar Romania Russia Serbia Sierra Leone
## unimportant 54.9 41.4 30.3 23.2 29.9
## little important 17.8 18.6 29.0 13.0 16.2
## somewhat important 10.8 25.5 23.6 31.1 21.3
## very important 9.5 7.2 11.3 16.8 24.4
## extremely important 7.0 7.2 5.9 15.8 8.1
## Total 100.0 99.9 100.1 99.9 99.9
## Count 315.0 333.0 390.0 392.0 197.0
## COUNTRY
## C12J Singapore_NON-REP South Africa South Korea Spain
## unimportant 26.4 47.2 11.4 28.9
## little important 17.2 19.2 26.8 21.5
## somewhat important 17.2 20.4 43.9 31.5
## very important 16.1 8.3 15.4 12.1
## extremely important 23.0 5.0 2.6 6.0
## Total 99.9 100.1 100.1 100.0
## Count 87.0 339.0 351.0 381.0
## COUNTRY
## C12J Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 25.6 27.1 24.4 NaN 23.2 4.2
## little important 14.3 15.7 24.7 NaN 55.5 3.4
## somewhat important 16.8 21.2 28.7 NaN 21.3 31.2
## very important 8.4 23.6 15.4 NaN 0.0 36.3
## extremely important 34.8 12.4 6.8 NaN 0.0 24.9
## Total 99.9 100.0 100.0 NaN 100.0 100.0
## Count 273.0 572.0 895.0 0 272.0 353.0
## COUNTRY
## C12J Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 25.0 43.0 NaN 48.0 38.1 NaN
## little important 8.7 9.5 NaN 23.3 19.2 NaN
## somewhat important 30.4 5.0 NaN 19.4 24.6 NaN
## very important 13.0 8.4 NaN 6.7 10.8 NaN
## extremely important 22.8 34.1 NaN 2.7 7.4 NaN
## Total 99.9 100.0 NaN 100.1 100.1 NaN
## Count 92.0 179.0 0 661.0 407.0 0#Support national development.#
colPercents(xtabs(~C12K+COUNTRY, data=wjsn))## COUNTRY
## C12K Albania Argentina Australia Austria Bangladesh
## unimportant 6.8 14.8 26.0 28.1 3.2
## little important 5.8 9.1 20.6 26.5 5.4
## somewhat important 14.0 22.2 26.8 32.0 15.2
## very important 42.7 34.2 18.3 10.7 22.2
## extremely important 30.7 19.7 8.2 2.7 54.1
## Total 100.0 100.0 99.9 100.0 100.1
## Count 293.0 351.0 596.0 747.0 316.0
## COUNTRY
## C12K Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 30.3 20.2 1.1 7.4 NaN NaN
## little important 21.7 12.4 2.7 9.0 NaN NaN
## somewhat important 31.1 20.2 9.3 31.9 NaN NaN
## very important 13.8 20.2 14.8 22.9 NaN NaN
## extremely important 3.1 27.0 72.0 28.7 NaN NaN
## Total 100.0 100.0 99.9 99.9 NaN NaN
## Count 544.0 89.0 182.0 376.0 0 0
## COUNTRY
## C12K Canada Chile China Colombia Croatia Cyprus
## unimportant 36.6 8.1 1.4 4.3 4.6 3.9
## little important 20.3 10.5 5.3 4.8 4.6 0.5
## somewhat important 25.2 21.3 24.6 14.7 18.9 19.7
## very important 12.7 23.3 39.1 25.2 28.7 17.7
## extremely important 5.2 36.7 29.6 51.0 43.1 58.1
## Total 100.0 99.9 100.0 100.0 99.9 99.9
## Count 306.0 455.0 639.0 539.0 540.0 203.0
## COUNTRY
## C12K Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 24.3 14.4 3.4 3.5 2.0
## little important 20.0 29.9 5.6 5.3 5.6
## somewhat important 29.6 28.7 10.1 21.6 11.6
## very important 18.2 19.9 33.5 22.9 28.4
## extremely important 7.9 7.1 47.5 46.7 52.4
## Total 100.0 100.0 100.1 100.0 100.0
## Count 280.0 1329.0 358.0 398.0 250.0
## COUNTRY
## C12K Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 10.3 2.9 NaN 8.1 32.6 40.0
## little important 12.9 2.6 NaN 24.0 17.1 21.8
## somewhat important 25.0 7.8 NaN 40.4 32.1 24.9
## very important 28.7 26.7 NaN 20.9 10.9 10.3
## extremely important 23.2 60.0 NaN 6.7 7.3 3.0
## Total 100.1 100.0 NaN 100.1 100.0 100.0
## Count 272.0 345.0 0 359.0 193.0 738.0
## COUNTRY
## C12K Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 10.5 25.6 9.6 36.3 4.0 1.2
## little important 11.5 35.8 10.7 16.6 4.4 2.2
## somewhat important 23.2 24.4 26.7 24.2 9.9 21.5
## very important 25.0 10.4 27.3 14.0 28.6 49.8
## extremely important 29.8 3.8 25.7 8.9 53.1 25.3
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 400.0 450.0 374.0 157.0 503.0 643.0
## COUNTRY
## C12K Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 21.1 14.9 75.6 4.0 9.1 4.5 5.2
## little important 21.1 11.9 19.2 13.2 6.6 3.5 8.2
## somewhat important 33.3 18.2 3.6 37.2 15.1 21.6 24.7
## very important 17.0 17.6 0.5 28.3 34.1 27.1 27.7
## extremely important 7.5 37.3 1.0 17.3 35.0 43.2 34.1
## Total 100.0 99.9 99.9 100.0 99.9 99.9 99.9
## Count 294.0 335.0 385.0 742.0 331.0 199.0 328.0
## COUNTRY
## C12K Malawi Malaysia Mexico Moldova Netherlands
## unimportant 1.8 2.5 2.4 8.3 27.9
## little important 3.6 5.3 3.2 6.9 41.7
## somewhat important 10.1 25.4 11.7 16.6 19.8
## very important 24.9 39.7 28.3 23.5 8.0
## extremely important 59.8 27.1 54.4 44.7 2.6
## Total 100.2 100.0 100.0 100.0 100.0
## Count 169.0 358.0 375.0 217.0 499.0
## COUNTRY
## C12K New Zealand Norway Philippines Poland Portugal Oman
## unimportant 25.1 21.2 0.9 NaN 8.4 3.9
## little important 18.5 23.8 7.8 NaN 10.2 10.1
## somewhat important 31.9 30.8 17.9 NaN 26.6 9.3
## very important 17.3 19.0 36.0 NaN 30.3 31.9
## extremely important 7.2 5.1 37.5 NaN 24.6 44.7
## Total 100.0 99.9 100.1 NaN 100.1 99.9
## Count 502.0 584.0 347.0 0 403.0 257.0
## COUNTRY
## C12K Qatar Romania Russia Serbia Sierra Leone
## unimportant 6.6 5.4 8.0 5.8 0.9
## little important 11.9 6.2 6.9 3.3 1.8
## somewhat important 24.9 16.7 33.2 15.5 5.9
## very important 29.9 25.0 21.6 18.3 22.8
## extremely important 26.7 46.7 30.3 57.1 68.5
## Total 100.0 100.0 100.0 100.0 99.9
## Count 378.0 336.0 389.0 399.0 219.0
## COUNTRY
## C12K Singapore_NON-REP South Africa South Korea Spain
## unimportant 8.5 9.7 2.3 6.2
## little important 16.0 11.3 16.0 10.6
## somewhat important 34.0 26.8 36.2 27.0
## very important 29.8 27.3 31.6 29.1
## extremely important 11.7 24.9 14.0 27.0
## Total 100.0 100.0 100.1 99.9
## Count 94.0 362.0 351.0 385.0
## COUNTRY
## C12K Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 0.7 42.7 28.1 NaN 0.0 0.0
## little important 1.1 21.9 31.9 NaN 0.0 0.5
## somewhat important 2.5 21.0 28.1 NaN 5.5 22.1
## very important 9.5 11.1 9.3 NaN 44.5 42.0
## extremely important 86.2 3.3 2.6 NaN 50.0 35.3
## Total 100.0 100.0 100.0 NaN 100.0 99.9
## Count 275.0 548.0 893.0 0 272.0 371.0
## COUNTRY
## C12K Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 20.0 27.9 NaN 30.8 32.0 NaN
## little important 3.3 13.0 NaN 19.2 24.2 NaN
## somewhat important 20.0 14.9 NaN 29.9 30.1 NaN
## very important 28.9 20.7 NaN 15.4 6.7 NaN
## extremely important 27.8 23.6 NaN 4.8 7.0 NaN
## Total 100.0 100.1 NaN 100.1 100.0 NaN
## Count 90.0 208.0 0 663.0 372.0 0#Convey a positive image of political leadership.#
colPercents(xtabs(~C12L+COUNTRY, data=wjsn))## COUNTRY
## C12L Albania Argentina Australia Austria Bangladesh
## unimportant 38.3 45.0 60.9 78.7 20.3
## little important 27.6 26.1 24.4 15.8 19.3
## somewhat important 15.5 21.5 10.9 4.8 23.1
## very important 12.4 4.6 2.8 0.7 21.0
## extremely important 6.2 2.9 1.0 0.0 16.3
## Total 100.0 100.1 100.0 100.0 100.0
## Count 290.0 349.0 599.0 751.0 295.0
## COUNTRY
## C12L Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 64.8 21.6 36.1 60.6 NaN NaN
## little important 21.5 18.2 23.5 25.0 NaN NaN
## somewhat important 12.6 27.3 18.6 8.8 NaN NaN
## very important 1.1 13.6 8.2 2.1 NaN NaN
## extremely important 0.0 19.3 13.7 3.5 NaN NaN
## Total 100.0 100.0 100.1 100.0 NaN NaN
## Count 562.0 88.0 183.0 376.0 0 0
## COUNTRY
## C12L Canada Chile China Colombia Croatia Cyprus
## unimportant 80.1 46.6 6.2 35.1 59.2 50.5
## little important 13.7 22.7 16.1 19.4 16.0 14.1
## somewhat important 5.8 18.4 28.9 26.8 11.5 17.2
## very important 0.3 7.7 28.9 7.9 7.1 4.2
## extremely important 0.0 4.5 19.9 10.7 6.1 14.1
## Total 99.9 99.9 100.0 99.9 99.9 100.1
## Count 342.0 440.0 644.0 541.0 537.0 192.0
## COUNTRY
## C12L Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 69.4 79.5 25.0 25.4 31.4
## little important 16.4 18.3 14.8 21.4 25.7
## somewhat important 10.0 1.7 25.6 31.9 20.8
## very important 2.5 0.4 20.7 10.3 11.4
## extremely important 1.8 0.1 13.9 11.1 10.6
## Total 100.1 100.0 100.0 100.1 99.9
## Count 281.0 1348.0 352.0 398.0 245.0
## COUNTRY
## C12L Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 60.7 16.3 NaN 79.9 82.8 81.2
## little important 26.1 10.1 NaN 16.5 14.2 13.6
## somewhat important 11.0 24.6 NaN 2.5 2.0 4.5
## very important 2.2 24.9 NaN 1.1 1.0 0.5
## extremely important 0.0 24.0 NaN 0.0 0.0 0.1
## Total 100.0 99.9 NaN 100.0 100.0 99.9
## Count 272.0 337.0 0 364.0 204.0 741.0
## COUNTRY
## C12L Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 59.1 55.3 45.8 89.3 24.2 8.4
## little important 23.8 24.6 23.7 9.0 17.1 14.3
## somewhat important 10.8 12.0 14.1 1.7 26.2 41.0
## very important 2.0 6.3 9.0 0.0 17.1 26.5
## extremely important 4.3 1.7 7.3 0.0 15.3 9.8
## Total 100.0 99.9 99.9 100.0 99.9 100.0
## Count 399.0 459.0 354.0 178.0 496.0 652.0
## COUNTRY
## C12L Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 64.3 62.5 75.1 50.5 28.7 23.7 71.9
## little important 26.0 15.6 17.1 40.3 19.9 21.1 17.4
## somewhat important 6.7 14.7 5.4 8.2 19.6 30.0 6.1
## very important 2.0 3.9 0.5 0.8 20.8 11.6 2.6
## extremely important 1.0 3.3 1.8 0.3 11.0 13.7 1.9
## Total 100.0 100.0 99.9 100.1 100.0 100.1 99.9
## Count 300.0 333.0 386.0 745.0 327.0 190.0 310.0
## COUNTRY
## C12L Malawi Malaysia Mexico Moldova Netherlands
## unimportant 26.2 10.9 32.3 55.8 53.5
## little important 13.8 10.9 25.6 27.4 40.4
## somewhat important 19.4 34.0 27.2 12.1 5.0
## very important 20.0 31.1 8.6 2.3 1.0
## extremely important 20.6 13.1 6.2 2.3 0.0
## Total 100.0 100.0 99.9 99.9 99.9
## Count 160.0 350.0 371.0 215.0 497.0
## COUNTRY
## C12L New Zealand Norway Philippines Poland Portugal Oman
## unimportant 69.2 58.6 25.4 NaN 60.3 3.5
## little important 19.5 29.8 32.9 NaN 21.6 10.9
## somewhat important 7.8 9.2 26.2 NaN 13.4 45.5
## very important 3.1 1.7 10.4 NaN 3.0 27.2
## extremely important 0.4 0.7 5.2 NaN 1.7 12.8
## Total 100.0 100.0 100.1 NaN 100.0 99.9
## Count 513.0 587.0 347.0 0 403.0 257.0
## COUNTRY
## C12L Qatar Romania Russia Serbia Sierra Leone
## unimportant 9.0 62.4 40.3 51.0 25.4
## little important 20.3 16.6 31.3 15.8 20.1
## somewhat important 21.9 17.2 18.2 20.6 19.1
## very important 25.1 3.0 8.2 7.3 23.0
## extremely important 23.7 0.9 2.1 5.3 12.4
## Total 100.0 100.1 100.1 100.0 100.0
## Count 379.0 338.0 390.0 398.0 209.0
## COUNTRY
## C12L Singapore_NON-REP South Africa South Korea Spain
## unimportant 14.9 57.8 31.1 45.9
## little important 24.1 20.9 42.9 26.9
## somewhat important 20.7 12.2 22.3 23.8
## very important 18.4 4.7 2.9 2.8
## extremely important 21.8 4.4 0.9 0.5
## Total 99.9 100.0 100.1 99.9
## Count 87.0 344.0 350.0 386.0
## COUNTRY
## C12L Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 28.4 73.8 75.1 NaN 9.2 3.9
## little important 19.3 17.7 21.4 NaN 60.3 2.8
## somewhat important 18.2 7.1 3.1 NaN 30.5 37.5
## very important 9.1 0.9 0.4 NaN 0.0 33.3
## extremely important 25.1 0.5 0.0 NaN 0.0 22.5
## Total 100.1 100.0 100.0 NaN 100.0 100.0
## Count 275.0 565.0 898.0 0 272.0 360.0
## COUNTRY
## C12L Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 49.5 26.1 NaN 69.1 70.9 NaN
## little important 7.5 11.8 NaN 21.0 13.4 NaN
## somewhat important 31.2 16.3 NaN 7.8 11.7 NaN
## very important 8.6 18.2 NaN 1.8 2.0 NaN
## extremely important 3.2 27.6 NaN 0.3 2.0 NaN
## Total 100.0 100.0 NaN 100.0 100.0 NaN
## Count 93.0 203.0 0 657.0 409.0 0#Support government policy.#
colPercents(xtabs(~C12M+COUNTRY, data=wjsn))## COUNTRY
## C12M Albania Argentina Australia Austria Bangladesh
## unimportant 38.1 27.0 60.2 75.2 22.2
## little important 30.4 19.5 25.6 17.0 19.7
## somewhat important 21.8 33.4 12.8 6.9 29.4
## very important 6.6 15.4 1.2 0.9 16.8
## extremely important 3.1 4.7 0.2 0.0 11.8
## Total 100.0 100.0 100.0 100.0 99.9
## Count 289.0 344.0 601.0 753.0 279.0
## COUNTRY
## C12M Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 64.9 16.7 14.2 38.3 NaN NaN
## little important 22.7 21.1 13.7 30.9 NaN NaN
## somewhat important 11.3 27.8 32.8 23.4 NaN NaN
## very important 0.9 18.9 15.3 4.0 NaN NaN
## extremely important 0.2 15.6 24.0 3.5 NaN NaN
## Total 100.0 100.1 100.0 100.1 NaN NaN
## Count 559.0 90.0 183.0 376.0 0 0
## COUNTRY
## C12M Canada Chile China Colombia Croatia Cyprus
## unimportant 80.6 29.1 2.6 15.3 56.5 49.5
## little important 15.6 20.4 11.8 16.4 16.9 17.7
## somewhat important 2.9 25.8 32.2 36.1 14.6 25.5
## very important 0.6 13.7 35.8 14.9 6.1 3.6
## extremely important 0.3 11.0 17.4 17.3 5.9 3.6
## Total 100.0 100.0 99.8 100.0 100.0 99.9
## Count 340.0 446.0 642.0 537.0 526.0 192.0
## COUNTRY
## C12M Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 76.7 90.4 16.8 26.9 13.5
## little important 13.6 8.3 10.2 19.3 22.0
## somewhat important 8.2 1.1 26.7 31.7 28.6
## very important 1.1 0.2 28.7 10.3 19.2
## extremely important 0.4 0.0 17.6 11.8 16.7
## Total 100.0 100.0 100.0 100.0 100.0
## Count 279.0 1348.0 352.0 398.0 245.0
## COUNTRY
## C12M Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 50.6 11.2 NaN 82.1 80.3 79.1
## little important 25.8 11.2 NaN 15.7 15.8 15.2
## somewhat important 20.3 21.2 NaN 2.2 2.5 5.3
## very important 3.0 27.9 NaN 0.0 0.5 0.3
## extremely important 0.4 28.5 NaN 0.0 1.0 0.1
## Total 100.1 100.0 NaN 100.0 100.1 100.0
## Count 271.0 340.0 0 357.0 203.0 741.0
## COUNTRY
## C12M Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 70.7 44.3 42.3 92.7 16.7 2.7
## little important 19.9 31.2 21.7 6.7 16.1 4.3
## somewhat important 6.6 16.4 17.7 0.0 32.1 62.6
## very important 1.5 6.6 10.0 0.6 20.1 24.7
## extremely important 1.3 1.5 8.3 0.0 15.1 5.8
## Total 100.0 100.0 100.0 100.0 100.1 100.1
## Count 396.0 458.0 350.0 178.0 498.0 657.0
## COUNTRY
## C12M Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 70.1 67.3 74.6 45.0 10.1 35.7 48.4
## little important 23.5 12.5 20.5 41.4 14.7 27.6 31.6
## somewhat important 4.7 13.8 3.9 12.8 29.4 23.8 13.2
## very important 1.3 3.7 0.0 0.7 31.8 7.0 5.9
## extremely important 0.3 2.8 1.0 0.1 14.1 5.9 1.0
## Total 99.9 100.1 100.0 100.0 100.1 100.0 100.1
## Count 298.0 327.0 386.0 744.0 327.0 185.0 304.0
## COUNTRY
## C12M Malawi Malaysia Mexico Moldova Netherlands
## unimportant 9.0 6.1 12.9 35.2 49.4
## little important 13.3 8.9 16.9 30.5 41.8
## somewhat important 24.7 33.2 34.4 25.4 6.8
## very important 24.7 34.6 21.8 6.6 1.6
## extremely important 28.3 17.0 14.0 2.3 0.4
## Total 100.0 99.8 100.0 100.0 100.0
## Count 166.0 358.0 372.0 213.0 502.0
## COUNTRY
## C12M New Zealand Norway Philippines Poland Portugal Oman
## unimportant 74.0 71.7 10.4 NaN 74.6 9.3
## little important 16.3 25.6 27.2 NaN 16.7 16.7
## somewhat important 8.3 2.4 37.6 NaN 7.0 26.1
## very important 1.2 0.3 17.3 NaN 1.0 28.4
## extremely important 0.2 0.0 7.5 NaN 0.7 19.5
## Total 100.0 100.0 100.0 NaN 100.0 100.0
## Count 504.0 586.0 346.0 0 402.0 257.0
## COUNTRY
## C12M Qatar Romania Russia Serbia Sierra Leone
## unimportant 12.5 41.8 38.5 49.9 11.0
## little important 12.0 26.7 33.3 21.5 15.2
## somewhat important 26.4 26.1 16.9 19.7 27.6
## very important 26.4 4.5 9.0 5.8 30.0
## extremely important 22.7 0.9 2.3 3.0 16.2
## Total 100.0 100.0 100.0 99.9 100.0
## Count 375.0 337.0 390.0 395.0 210.0
## COUNTRY
## C12M Singapore_NON-REP South Africa South Korea Spain
## unimportant 8.9 44.3 23.6 34.0
## little important 18.9 28.3 43.3 28.3
## somewhat important 35.6 17.8 27.9 28.3
## very important 22.2 7.0 4.8 7.1
## extremely important 14.4 2.6 0.3 2.4
## Total 100.0 100.0 99.9 100.1
## Count 90.0 343.0 351.0 382.0
## COUNTRY
## C12M Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 27.4 97.0 61.6 NaN 22.8 1.9
## little important 13.5 2.6 28.0 NaN 55.1 4.4
## somewhat important 24.4 0.3 9.6 NaN 22.1 36.6
## very important 8.6 0.0 0.8 NaN 0.0 43.4
## extremely important 25.9 0.0 0.1 NaN 0.0 13.7
## Total 99.8 99.9 100.1 NaN 100.0 100.0
## Count 266.0 572.0 898.0 0 272.0 366.0
## COUNTRY
## C12M Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 54.8 28.9 NaN 71.9 70.8 NaN
## little important 14.0 9.5 NaN 20.6 14.4 NaN
## somewhat important 24.7 15.2 NaN 6.3 11.2 NaN
## very important 4.3 17.1 NaN 1.1 2.2 NaN
## extremely important 2.2 29.4 NaN 0.2 1.5 NaN
## Total 100.0 100.1 NaN 100.1 100.1 NaN
## Count 93.0 211.0 0 655.0 411.0 0#Provide entertainment and relaxation.#
colPercents(xtabs(~C12O+COUNTRY, data=wjsn))## COUNTRY
## C12O Albania Argentina Australia Austria Bangladesh
## unimportant 12.0 20.7 7.5 7.0 11.4
## little important 11.7 15.6 10.3 12.2 16.9
## somewhat important 30.2 33.1 29.8 34.1 33.4
## very important 32.0 21.5 27.8 30.4 20.8
## extremely important 14.1 9.1 24.7 16.3 17.5
## Total 100.0 100.0 100.1 100.0 100.0
## Count 291.0 353.0 604.0 812.0 308.0
## COUNTRY
## C12O Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 19.0 12.2 8.2 21.0 NaN NaN
## little important 20.0 15.6 8.2 23.7 NaN NaN
## somewhat important 31.8 25.6 21.2 31.4 NaN NaN
## very important 22.1 23.3 27.7 12.8 NaN NaN
## extremely important 7.2 23.3 34.8 11.2 NaN NaN
## Total 100.1 100.0 100.1 100.1 NaN NaN
## Count 585.0 90.0 184.0 376.0 0 0
## COUNTRY
## C12O Canada Chile China Colombia Croatia Cyprus
## unimportant 25.3 15.9 8.0 3.5 27.4 37.9
## little important 23.6 12.6 14.5 6.3 22.1 28.6
## somewhat important 29.3 23.3 38.8 23.9 25.4 19.2
## very important 15.2 22.0 29.7 28.7 16.0 5.4
## extremely important 6.6 26.1 9.0 37.6 9.0 8.9
## Total 100.0 99.9 100.0 100.0 99.9 100.0
## Count 348.0 459.0 634.0 540.0 543.0 203.0
## COUNTRY
## C12O Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 11.5 19.4 27.2 12.6 21.5
## little important 21.0 43.6 15.9 16.8 11.7
## somewhat important 36.4 27.0 15.9 35.4 23.9
## very important 22.4 9.0 24.6 17.6 21.5
## extremely important 8.7 1.1 16.2 17.6 21.5
## Total 100.0 100.1 99.8 100.0 100.1
## Count 286.0 1350.0 345.0 398.0 247.0
## COUNTRY
## C12O Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 12.5 2.3 NaN 9.3 29.5 5.6
## little important 14.3 6.6 NaN 20.1 29.5 9.9
## somewhat important 28.7 20.3 NaN 42.3 29.1 33.1
## very important 27.6 32.7 NaN 19.0 9.1 31.0
## extremely important 16.9 38.1 NaN 9.3 2.7 20.4
## Total 100.0 100.0 NaN 100.0 99.9 100.0
## Count 272.0 349.0 0 364.0 220.0 768.0
## COUNTRY
## C12O Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 29.2 21.3 4.7 8.2 9.2 0.9
## little important 23.0 26.9 10.7 14.1 10.6 6.1
## somewhat important 22.2 38.8 22.5 39.7 30.5 38.8
## very important 12.8 10.3 25.3 23.9 27.5 42.0
## extremely important 12.8 2.6 36.8 14.1 22.2 12.3
## Total 100.0 99.9 100.0 100.0 100.0 100.1
## Count 400.0 464.0 383.0 184.0 499.0 660.0
## COUNTRY
## C12O Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 11.4 24.9 21.3 5.7 9.3 13.0 17.2
## little important 16.4 19.8 23.1 19.0 13.0 17.6 25.7
## somewhat important 35.5 22.8 32.6 50.1 20.5 21.2 24.8
## very important 24.7 13.0 14.7 18.8 34.9 26.4 19.0
## extremely important 12.0 19.5 8.2 6.5 22.3 21.8 13.3
## Total 100.0 100.0 99.9 100.1 100.0 100.0 100.0
## Count 299.0 338.0 389.0 743.0 332.0 193.0 331.0
## COUNTRY
## C12O Malawi Malaysia Mexico Moldova Netherlands
## unimportant 4.8 4.2 11.2 18.3 6.4
## little important 8.4 10.3 14.9 17.8 15.3
## somewhat important 18.6 35.3 26.4 26.9 32.4
## very important 29.9 35.3 28.8 17.4 29.3
## extremely important 38.3 15.0 18.7 19.6 16.7
## Total 100.0 100.1 100.0 100.0 100.1
## Count 167.0 360.0 375.0 219.0 516.0
## COUNTRY
## C12O New Zealand Norway Philippines Poland Portugal Oman
## unimportant 10.9 16.4 10.6 NaN 26.4 2.3
## little important 15.5 20.2 24.4 NaN 24.9 12.1
## somewhat important 37.0 31.4 37.1 NaN 31.6 31.5
## very important 24.2 23.8 18.7 NaN 12.9 33.9
## extremely important 12.5 8.2 9.2 NaN 4.2 20.2
## Total 100.1 100.0 100.0 NaN 100.0 100.0
## Count 530.0 525.0 348.0 0 402.0 257.0
## COUNTRY
## C12O Qatar Romania Russia Serbia Sierra Leone
## unimportant 10.6 10.7 17.4 15.2 6.7
## little important 15.5 16.4 25.6 15.7 13.8
## somewhat important 26.7 26.5 32.1 32.7 20.5
## very important 25.2 23.2 15.1 17.2 31.4
## extremely important 22.0 23.2 9.7 19.2 27.6
## Total 100.0 100.0 99.9 100.0 100.0
## Count 341.0 336.0 390.0 401.0 210.0
## COUNTRY
## C12O Singapore_NON-REP South Africa South Korea Spain
## unimportant 5.4 11.7 23.3 11.3
## little important 22.6 14.4 42.9 15.7
## somewhat important 38.7 30.2 27.8 32.2
## very important 26.9 22.6 5.1 29.9
## extremely important 6.5 21.0 0.9 10.8
## Total 100.1 99.9 100.0 99.9
## Count 93.0 367.0 352.0 388.0
## COUNTRY
## C12O Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 9.6 15.2 6.6 NaN 0.4 1.9
## little important 11.1 33.2 18.4 NaN 34.2 4.0
## somewhat important 18.9 36.3 41.4 NaN 43.4 33.7
## very important 18.9 12.8 23.1 NaN 22.1 36.9
## extremely important 41.5 2.6 10.6 NaN 0.0 23.5
## Total 100.0 100.1 100.1 NaN 100.1 100.0
## Count 270.0 579.0 909.0 0 272.0 374.0
## COUNTRY
## C12O Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 24.7 19.3 NaN 10.8 14.1 NaN
## little important 22.6 21.1 NaN 15.0 18.5 NaN
## somewhat important 20.4 28.0 NaN 24.3 38.4 NaN
## very important 24.7 18.3 NaN 26.6 23.8 NaN
## extremely important 7.5 13.3 NaN 23.3 5.1 NaN
## Total 99.9 100.0 NaN 100.0 99.9 NaN
## Count 93.0 218.0 0 692.0 411.0 0#Provide the kind of news that attracts the largest audience.#
colPercents(xtabs(~C12P+COUNTRY, data=wjsn))## COUNTRY
## C12P Albania Argentina Australia Austria Bangladesh
## unimportant 2.0 13.1 5.5 3.1 3.4
## little important 2.4 14.2 8.3 7.6 2.8
## somewhat important 14.0 31.8 24.8 28.6 17.9
## very important 43.0 25.3 33.9 34.5 26.5
## extremely important 38.6 15.6 27.5 26.3 49.4
## Total 100.0 100.0 100.0 100.1 100.0
## Count 293.0 359.0 604.0 815.0 324.0
## COUNTRY
## C12P Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 17.3 11.1 6.0 8.2 NaN NaN
## little important 18.1 13.3 6.0 14.9 NaN NaN
## somewhat important 32.6 16.7 16.3 33.0 NaN NaN
## very important 21.5 16.7 21.7 20.5 NaN NaN
## extremely important 10.4 42.2 50.0 23.4 NaN NaN
## Total 99.9 100.0 100.0 100.0 NaN NaN
## Count 585.0 90.0 184.0 376.0 0 0
## COUNTRY
## C12P Canada Chile China Colombia Croatia Cyprus
## unimportant 14.1 11.8 2.7 5.9 17.2 25.0
## little important 28.2 9.0 6.7 7.2 16.1 17.6
## somewhat important 33.0 21.5 28.2 21.5 28.3 24.5
## very important 15.2 23.4 42.4 25.7 25.0 27.5
## extremely important 9.5 34.3 20.0 39.7 13.5 5.4
## Total 100.0 100.0 100.0 100.0 100.1 100.0
## Count 348.0 466.0 641.0 544.0 548.0 204.0
## COUNTRY
## C12P Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 11.2 23.4 6.7 5.0 7.3
## little important 22.8 42.1 8.4 6.0 7.7
## somewhat important 27.7 27.1 14.0 26.2 22.2
## very important 22.5 6.4 33.1 25.7 28.2
## extremely important 15.8 1.0 37.6 37.0 34.7
## Total 100.0 100.0 99.8 99.9 100.1
## Count 285.0 1350.0 356.0 397.0 248.0
## COUNTRY
## C12P Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 1.1 2.9 NaN 2.7 19.7 1.3
## little important 3.7 4.6 NaN 17.2 21.1 6.0
## somewhat important 14.7 11.7 NaN 37.4 38.1 19.2
## very important 31.9 26.1 NaN 28.4 14.3 38.0
## extremely important 48.7 54.7 NaN 14.2 6.7 35.5
## Total 100.1 100.0 NaN 99.9 99.9 100.0
## Count 273.0 349.0 0 366.0 223.0 766.0
## COUNTRY
## C12P Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 23.6 5.8 5.0 7.2 3.7 0.2
## little important 18.3 15.3 11.2 17.7 7.9 2.3
## somewhat important 27.6 43.9 21.9 40.3 18.7 21.4
## very important 18.5 28.8 28.2 20.4 30.3 53.9
## extremely important 12.0 6.2 33.7 14.4 39.5 22.3
## Total 100.0 100.0 100.0 100.0 100.1 100.1
## Count 399.0 465.0 383.0 181.0 509.0 660.0
## COUNTRY
## C12P Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 5.3 11.0 13.8 3.1 10.3 4.5 7.5
## little important 14.3 11.9 17.9 18.7 6.7 10.1 10.8
## somewhat important 37.5 20.2 29.8 39.0 14.9 23.2 24.0
## very important 23.9 22.6 22.2 27.1 30.7 24.7 36.8
## extremely important 18.9 34.2 16.3 12.1 37.4 37.4 21.0
## Total 99.9 99.9 100.0 100.0 100.0 99.9 100.1
## Count 301.0 336.0 392.0 743.0 329.0 198.0 334.0
## COUNTRY
## C12P Malawi Malaysia Mexico Moldova Netherlands
## unimportant 1.8 1.1 4.5 6.4 14.3
## little important 7.1 5.8 6.1 7.8 23.6
## somewhat important 7.6 25.5 15.2 25.7 32.8
## very important 28.8 38.8 24.7 22.9 21.3
## extremely important 54.7 28.8 49.5 37.2 7.9
## Total 100.0 100.0 100.0 100.0 99.9
## Count 170.0 361.0 376.0 218.0 516.0
## COUNTRY
## C12P New Zealand Norway Philippines Poland Portugal Oman
## unimportant 10.1 11.5 4.0 NaN 16.9 5.1
## little important 13.7 17.9 13.8 NaN 19.6 4.7
## somewhat important 32.8 40.5 29.9 NaN 39.0 21.0
## very important 26.0 23.3 33.9 NaN 18.6 30.7
## extremely important 17.5 6.9 18.4 NaN 6.0 38.5
## Total 100.1 100.1 100.0 NaN 100.1 100.0
## Count 527.0 610.0 348.0 0 403.0 257.0
## COUNTRY
## C12P Qatar Romania Russia Serbia Sierra Leone
## unimportant 8.8 4.8 2.3 9.7 6.1
## little important 15.3 9.9 6.4 11.7 12.1
## somewhat important 27.8 23.0 25.1 29.5 9.3
## very important 25.8 24.8 27.2 20.3 19.6
## extremely important 22.4 37.6 39.0 28.8 52.8
## Total 100.1 100.1 100.0 100.0 99.9
## Count 353.0 335.0 390.0 403.0 214.0
## COUNTRY
## C12P Singapore_NON-REP South Africa South Korea Spain
## unimportant 9.5 6.2 8.5 14.7
## little important 22.1 9.7 21.9 19.8
## somewhat important 29.5 25.3 44.6 32.1
## very important 21.1 27.8 20.2 22.4
## extremely important 17.9 31.0 4.8 11.1
## Total 100.1 100.0 100.0 100.1
## Count 95.0 371.0 352.0 389.0
## COUNTRY
## C12P Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 1.1 35.4 6.1 NaN 0.0 0.3
## little important 2.2 35.0 12.1 NaN 0.0 1.1
## somewhat important 7.7 24.3 35.3 NaN 2.2 24.9
## very important 21.5 5.0 34.5 NaN 37.1 44.1
## extremely important 67.5 0.3 12.0 NaN 60.7 29.7
## Total 100.0 100.0 100.0 NaN 100.0 100.1
## Count 274.0 577.0 909.0 0 272.0 374.0
## COUNTRY
## C12P Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 11.7 24.8 NaN 8.8 5.9 NaN
## little important 8.5 16.7 NaN 13.8 11.7 NaN
## somewhat important 16.0 13.1 NaN 32.0 29.3 NaN
## very important 30.9 20.3 NaN 29.3 31.0 NaN
## extremely important 33.0 25.2 NaN 16.1 22.2 NaN
## Total 100.1 100.1 NaN 100.0 100.1 NaN
## Count 94.0 222.0 0 690.0 410.0 0#Provide advice, orientation and direction for daily life.#
colPercents(xtabs(~C12R+COUNTRY, data=wjsn))## COUNTRY
## C12R Albania Argentina Australia Austria Bangladesh
## unimportant 5.8 17.9 14.5 3.6 6.7
## little important 10.6 16.2 13.2 10.7 13.5
## somewhat important 28.3 32.2 37.7 22.4 28.8
## very important 38.2 24.4 24.5 38.6 29.8
## extremely important 17.1 9.2 10.1 24.7 21.2
## Total 100.0 99.9 100.0 100.0 100.0
## Count 293.0 357.0 605.0 813.0 312.0
## COUNTRY
## C12R Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 12.8 6.7 6.5 13.3 NaN NaN
## little important 17.9 6.7 5.9 14.4 NaN NaN
## somewhat important 36.7 27.8 16.2 35.6 NaN NaN
## very important 25.5 21.1 28.6 23.4 NaN NaN
## extremely important 7.1 37.8 42.7 13.3 NaN NaN
## Total 100.0 100.1 99.9 100.0 NaN NaN
## Count 580.0 90.0 185.0 376.0 0 0
## COUNTRY
## C12R Canada Chile China Colombia Croatia Cyprus
## unimportant 22.1 11.2 1.4 9.7 7.3 38.7
## little important 26.5 12.5 4.4 9.7 12.2 13.7
## somewhat important 27.0 24.1 27.9 23.5 31.1 14.7
## very important 16.6 25.4 49.0 25.4 32.5 11.8
## extremely important 7.8 26.8 17.4 31.6 16.9 21.1
## Total 100.0 100.0 100.1 99.9 100.0 100.0
## Count 344.0 456.0 639.0 544.0 550.0 204.0
## COUNTRY
## C12R Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 17.4 7.0 2.8 1.3 7.6
## little important 20.6 28.0 9.5 5.8 9.6
## somewhat important 26.6 37.0 17.0 26.4 22.1
## very important 22.7 21.8 34.0 35.2 34.1
## extremely important 12.8 6.1 36.8 31.4 26.5
## Total 100.1 99.9 100.1 100.1 99.9
## Count 282.0 1355.0 359.0 398.0 249.0
## COUNTRY
## C12R Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 6.2 2.9 NaN 4.6 10.4 3.1
## little important 11.4 5.7 NaN 17.8 20.3 8.6
## somewhat important 26.4 9.7 NaN 39.6 39.6 22.2
## very important 33.7 28.4 NaN 26.8 22.5 35.5
## extremely important 22.3 53.3 NaN 11.2 7.2 30.6
## Total 100.0 100.0 NaN 100.0 100.0 100.0
## Count 273.0 349.0 0 366.0 222.0 767.0
## COUNTRY
## C12R Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 11.5 3.6 5.0 21.5 7.8 2.9
## little important 15.6 11.3 12.0 23.8 10.4 9.0
## somewhat important 25.3 47.4 28.2 30.2 23.7 35.8
## very important 29.1 30.8 29.2 17.4 27.3 41.6
## extremely important 18.6 6.8 25.6 7.0 30.9 10.7
## Total 100.1 99.9 100.0 99.9 100.1 100.0
## Count 392.0 468.0 383.0 172.0 502.0 654.0
## COUNTRY
## C12R Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 16.9 9.5 21.4 4.2 3.3 5.5 13.4
## little important 23.8 11.0 21.7 15.9 8.3 8.5 17.3
## somewhat important 33.4 18.5 28.1 40.7 20.8 23.1 28.9
## very important 17.9 28.9 19.6 29.2 37.2 30.2 27.1
## extremely important 7.9 32.1 9.2 10.0 30.4 32.7 13.4
## Total 99.9 100.0 100.0 100.0 100.0 100.0 100.1
## Count 302.0 336.0 392.0 742.0 336.0 199.0 329.0
## COUNTRY
## C12R Malawi Malaysia Mexico Moldova Netherlands
## unimportant 4.8 1.4 6.6 13.9 1.9
## little important 5.5 5.8 9.8 20.4 6.2
## somewhat important 17.6 29.1 19.7 30.1 19.8
## very important 34.5 44.6 33.5 19.4 43.4
## extremely important 37.6 19.1 30.3 16.2 28.7
## Total 100.0 100.0 99.9 100.0 100.0
## Count 165.0 361.0 376.0 216.0 516.0
## COUNTRY
## C12R New Zealand Norway Philippines Poland Portugal Oman
## unimportant 21.8 16.7 4.9 NaN 12.7 0.8
## little important 21.8 25.5 14.3 NaN 18.9 9.7
## somewhat important 30.3 35.3 35.2 NaN 37.2 25.7
## very important 16.9 17.1 29.2 NaN 20.1 40.1
## extremely important 9.2 5.5 16.3 NaN 11.2 23.7
## Total 100.0 100.1 99.9 NaN 100.1 100.0
## Count 522.0 604.0 349.0 0 403.0 257.0
## COUNTRY
## C12R Qatar Romania Russia Serbia Sierra Leone
## unimportant 11.2 10.9 6.2 7.0 0.0
## little important 18.2 17.1 6.2 6.5 5.5
## somewhat important 26.6 30.1 21.3 27.6 18.4
## very important 24.6 23.0 30.8 27.8 39.6
## extremely important 19.3 18.9 35.6 31.1 36.4
## Total 99.9 100.0 100.1 100.0 99.9
## Count 357.0 339.0 390.0 399.0 217.0
## COUNTRY
## C12R Singapore_NON-REP South Africa South Korea Spain
## unimportant 11.7 9.0 5.7 9.8
## little important 13.8 12.0 18.5 17.3
## somewhat important 40.4 25.5 40.1 34.9
## very important 25.5 28.5 31.0 27.4
## extremely important 8.5 25.0 4.8 10.6
## Total 99.9 100.0 100.1 100.0
## Count 94.0 368.0 352.0 387.0
## COUNTRY
## C12R Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 1.1 4.8 5.8 NaN 1.1 0.3
## little important 3.3 14.8 17.5 NaN 23.2 0.5
## somewhat important 8.1 40.6 37.4 NaN 56.2 30.6
## very important 18.4 31.9 29.5 NaN 18.0 43.5
## extremely important 69.1 7.8 9.7 NaN 1.5 25.0
## Total 100.0 99.9 99.9 NaN 100.0 99.9
## Count 272.0 586.0 906.0 0 272.0 372.0
## COUNTRY
## C12R Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 15.1 24.7 NaN 27.7 13.9 NaN
## little important 20.4 14.4 NaN 21.5 20.9 NaN
## somewhat important 22.6 20.5 NaN 24.9 39.2 NaN
## very important 31.2 22.3 NaN 17.4 19.2 NaN
## extremely important 10.8 18.1 NaN 8.5 6.8 NaN
## Total 100.1 100.0 NaN 100.0 100.0 NaN
## Count 93.0 215.0 0 674.0 411.0 0#Provide information people need to make political decisions.#
colPercents(xtabs(~C12S+COUNTRY, data=wjsn))## COUNTRY
## C12S Albania Argentina Australia Austria Bangladesh
## unimportant 14.0 7.0 12.0 9.3 5.4
## little important 11.3 6.8 6.5 8.5 8.6
## somewhat important 22.9 18.9 16.7 19.1 25.5
## very important 31.2 37.7 39.8 31.9 27.7
## extremely important 20.5 29.6 25.0 31.2 32.8
## Total 99.9 100.0 100.0 100.0 100.0
## Count 292.0 355.0 600.0 792.0 314.0
## COUNTRY
## C12S Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 13.4 3.3 4.4 7.2 NaN NaN
## little important 10.1 3.3 4.9 7.2 NaN NaN
## somewhat important 18.0 21.1 10.4 25.8 NaN NaN
## very important 36.8 24.4 23.0 27.9 NaN NaN
## extremely important 21.6 47.8 57.4 31.9 NaN NaN
## Total 99.9 99.9 100.1 100.0 NaN NaN
## Count 573.0 90.0 183.0 376.0 0 0
## COUNTRY
## C12S Canada Chile China Colombia Croatia Cyprus
## unimportant 9.2 13.6 5.3 5.5 2.2 21.2
## little important 6.6 6.7 12.5 5.7 2.2 11.8
## somewhat important 10.7 17.2 36.0 13.8 12.0 29.6
## very important 31.7 23.0 34.3 28.2 34.1 9.9
## extremely important 41.8 39.4 12.0 46.7 49.5 27.6
## Total 100.0 99.9 100.1 99.9 100.0 100.1
## Count 347.0 447.0 642.0 542.0 551.0 203.0
## COUNTRY
## C12S Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 17.6 0.6 6.7 1.3 3.6
## little important 10.6 1.5 8.9 3.8 6.9
## somewhat important 25.7 9.5 17.3 12.3 12.9
## very important 29.2 32.0 30.4 31.9 33.5
## extremely important 16.9 56.4 36.8 50.8 43.1
## Total 100.0 100.0 100.1 100.1 100.0
## Count 284.0 1352.0 359.0 398.0 248.0
## COUNTRY
## C12S Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 11.0 4.3 NaN 10.7 5.0 18.8
## little important 15.8 6.0 NaN 6.9 9.0 9.6
## somewhat important 25.3 15.5 NaN 20.1 18.1 15.4
## very important 29.3 30.2 NaN 35.3 29.0 29.2
## extremely important 18.7 44.0 NaN 27.0 38.9 27.0
## Total 100.1 100.0 NaN 100.0 100.0 100.0
## Count 273.0 348.0 0 363.0 221.0 760.0
## COUNTRY
## C12S Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 5.0 4.7 19.3 22.3 7.0 1.5
## little important 6.2 11.2 11.5 10.3 6.6 3.2
## somewhat important 17.2 34.5 21.1 22.9 23.5 24.4
## very important 29.4 34.3 22.2 22.3 28.7 54.5
## extremely important 42.1 15.3 25.9 22.3 34.3 16.4
## Total 99.9 100.0 100.0 100.1 100.1 100.0
## Count 401.0 464.0 374.0 175.0 502.0 657.0
## COUNTRY
## C12S Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 12.5 12.7 15.9 0.7 7.1 9.9 14.5
## little important 9.8 7.2 16.2 1.5 9.0 17.2 8.2
## somewhat important 23.6 15.7 23.1 14.8 18.2 22.4 19.3
## very important 32.0 23.5 26.5 36.2 34.9 17.7 33.2
## extremely important 22.2 41.0 18.3 46.8 30.9 32.8 24.8
## Total 100.1 100.1 100.0 100.0 100.1 100.0 100.0
## Count 297.0 332.0 389.0 743.0 324.0 192.0 331.0
## COUNTRY
## C12S Malawi Malaysia Mexico Moldova Netherlands
## unimportant 3.6 3.3 1.1 12.0 16.3
## little important 5.9 5.3 2.9 9.3 27.2
## somewhat important 5.3 26.6 11.7 20.8 22.8
## very important 28.4 42.7 26.9 23.1 25.2
## extremely important 56.8 22.2 57.3 34.7 8.5
## Total 100.0 100.1 99.9 99.9 100.0
## Count 169.0 361.0 375.0 216.0 508.0
## COUNTRY
## C12S New Zealand Norway Philippines Poland Portugal Oman
## unimportant 12.3 16.7 2.0 NaN 8.4 0.8
## little important 8.3 13.9 2.6 NaN 5.9 10.9
## somewhat important 18.2 26.5 14.4 NaN 23.0 34.6
## very important 35.7 28.2 38.8 NaN 31.4 36.2
## extremely important 25.4 14.7 42.2 NaN 31.4 17.5
## Total 99.9 100.0 100.0 NaN 100.1 100.0
## Count 527.0 599.0 348.0 0 405.0 257.0
## COUNTRY
## C12S Qatar Romania Russia Serbia Sierra Leone
## unimportant 23.1 15.4 13.1 10.3 4.7
## little important 26.4 8.6 15.9 5.8 1.9
## somewhat important 16.1 22.5 28.7 18.1 13.6
## very important 18.5 25.4 24.1 26.6 34.3
## extremely important 15.8 28.1 18.2 39.2 45.5
## Total 99.9 100.0 100.0 100.0 100.0
## Count 329.0 338.0 390.0 398.0 213.0
## COUNTRY
## C12S Singapore_NON-REP South Africa South Korea Spain
## unimportant 11.1 12.2 3.1 3.4
## little important 21.1 8.0 8.5 8.3
## somewhat important 21.1 19.1 24.8 16.0
## very important 30.0 26.0 44.7 32.8
## extremely important 16.7 34.8 18.8 39.5
## Total 100.0 100.1 99.9 100.0
## Count 90.0 362.0 351.0 387.0
## COUNTRY
## C12S Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 2.5 2.5 6.8 NaN 0.0 1.1
## little important 1.8 2.9 7.3 NaN 0.0 1.4
## somewhat important 8.4 10.6 17.0 NaN 8.8 27.0
## very important 18.2 37.2 37.6 NaN 52.2 41.9
## extremely important 69.1 46.8 31.3 NaN 39.0 28.6
## Total 100.0 100.0 100.0 NaN 100.0 100.0
## Count 275.0 592.0 907.0 0 272.0 370.0
## COUNTRY
## C12S Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 7.4 28.4 NaN 27.5 1.9 NaN
## little important 1.1 15.9 NaN 15.2 1.7 NaN
## somewhat important 12.8 13.4 NaN 20.3 7.5 NaN
## very important 45.7 23.9 NaN 20.6 31.3 NaN
## extremely important 33.0 18.4 NaN 16.4 57.5 NaN
## Total 100.0 100.0 NaN 100.0 99.9 NaN
## Count 94.0 201.0 0 676.0 412.0 0#Motivate people to participate in political activity.#
colPercents(xtabs(~C12T+COUNTRY, data=wjsn))## COUNTRY
## C12T Albania Argentina Australia Austria Bangladesh
## unimportant 39.0 13.2 27.9 12.5 18.5
## little important 23.3 12.1 25.0 11.5 14.7
## somewhat important 24.7 25.4 27.6 26.6 24.1
## very important 11.0 32.1 13.4 29.7 24.8
## extremely important 2.1 17.2 6.1 19.6 17.8
## Total 100.1 100.0 100.0 99.9 99.9
## Count 292.0 355.0 605.0 789.0 286.0
## COUNTRY
## C12T Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 26.7 6.7 9.7 13.3 NaN NaN
## little important 24.6 6.7 4.9 16.5 NaN NaN
## somewhat important 26.2 20.0 21.1 27.4 NaN NaN
## very important 14.9 35.6 23.2 23.1 NaN NaN
## extremely important 7.6 31.1 41.1 19.7 NaN NaN
## Total 100.0 100.1 100.0 100.0 NaN NaN
## Count 569.0 90.0 185.0 376.0 0 0
## COUNTRY
## C12T Canada Chile China Colombia Croatia Cyprus
## unimportant 20.3 22.7 10.0 9.1 3.3 23.0
## little important 16.5 16.5 18.3 10.0 4.5 10.8
## somewhat important 27.2 24.5 37.6 21.4 20.1 46.6
## very important 21.4 18.8 25.4 24.6 33.0 13.2
## extremely important 14.5 17.4 8.8 34.9 39.0 6.4
## Total 99.9 99.9 100.1 100.0 99.9 100.0
## Count 345.0 436.0 639.0 541.0 551.0 204.0
## COUNTRY
## C12T Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 35.3 11.0 9.0 1.8 12.1
## little important 21.0 24.2 10.4 2.8 7.7
## somewhat important 25.5 32.8 19.6 15.6 19.4
## very important 12.9 23.6 27.2 32.9 31.6
## extremely important 5.2 8.4 33.9 47.0 29.1
## Total 99.9 100.0 100.1 100.1 99.9
## Count 286.0 1349.0 357.0 398.0 247.0
## COUNTRY
## C12T Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 15.8 6.1 NaN 21.4 17.4 20.5
## little important 19.0 6.1 NaN 27.1 15.5 13.8
## somewhat important 31.1 20.0 NaN 30.7 27.2 20.8
## very important 24.2 32.8 NaN 14.8 23.5 24.8
## extremely important 9.9 35.1 NaN 6.0 16.4 20.1
## Total 100.0 100.1 NaN 100.0 100.0 100.0
## Count 273.0 345.0 0 365.0 213.0 761.0
## COUNTRY
## C12T Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 15.4 11.1 24.9 48.2 13.8 4.0
## little important 17.2 18.9 16.3 22.0 10.6 7.8
## somewhat important 25.4 39.3 24.7 17.3 23.0 27.9
## very important 22.1 22.2 16.8 7.1 25.2 45.6
## extremely important 19.9 8.5 17.3 5.4 27.4 14.7
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 402.0 460.0 369.0 168.0 508.0 655.0
## COUNTRY
## C12T Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 30.4 30.4 24.3 4.2 11.4 23.0 13.8
## little important 19.4 16.9 22.0 14.1 11.7 20.4 12.9
## somewhat important 27.4 18.4 23.3 33.1 24.6 22.5 26.7
## very important 16.4 16.9 18.6 28.4 31.2 13.1 24.0
## extremely important 6.4 17.5 11.9 20.3 21.0 20.9 22.5
## Total 100.0 100.1 100.1 100.1 99.9 99.9 99.9
## Count 299.0 332.0 387.0 744.0 333.0 191.0 333.0
## COUNTRY
## C12T Malawi Malaysia Mexico Moldova Netherlands
## unimportant 5.4 9.5 8.0 24.0 16.1
## little important 4.2 12.6 8.0 15.7 33.4
## somewhat important 16.2 39.1 21.1 18.9 28.5
## very important 31.7 29.1 30.7 22.6 17.3
## extremely important 42.5 9.8 32.3 18.9 4.7
## Total 100.0 100.1 100.1 100.1 100.0
## Count 167.0 358.0 375.0 217.0 509.0
## COUNTRY
## C12T New Zealand Norway Philippines Poland Portugal Oman
## unimportant 26.4 19.8 4.6 NaN 19.0 11.7
## little important 17.4 22.5 6.9 NaN 15.7 15.6
## somewhat important 24.9 26.6 20.1 NaN 31.9 32.3
## very important 20.5 22.7 37.0 NaN 21.9 25.7
## extremely important 10.8 8.4 31.5 NaN 11.5 14.8
## Total 100.0 100.0 100.1 NaN 100.0 100.1
## Count 518.0 595.0 349.0 0 401.0 257.0
## COUNTRY
## C12T Qatar Romania Russia Serbia Sierra Leone
## unimportant 23.2 26.9 11.8 18.2 9.9
## little important 26.2 13.9 16.2 13.0 10.3
## somewhat important 15.9 27.8 32.8 31.2 20.2
## very important 18.5 16.9 28.7 19.8 30.5
## extremely important 16.2 14.5 10.5 17.8 29.1
## Total 100.0 100.0 100.0 100.0 100.0
## Count 340.0 338.0 390.0 400.0 213.0
## COUNTRY
## C12T Singapore_NON-REP South Africa South Korea Spain
## unimportant 12.4 28.5 3.1 3.3
## little important 23.6 16.2 10.5 8.2
## somewhat important 25.8 25.7 29.6 27.5
## very important 22.5 17.9 42.2 35.7
## extremely important 15.7 11.7 14.5 25.2
## Total 100.0 100.0 99.9 99.9
## Count 89.0 358.0 351.0 389.0
## COUNTRY
## C12T Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 7.3 15.5 9.0 NaN 0.0 0.5
## little important 5.1 21.7 17.1 NaN 0.0 2.2
## somewhat important 17.1 27.1 28.7 NaN 21.0 31.4
## very important 14.2 27.1 31.9 NaN 47.1 39.6
## extremely important 56.4 8.6 13.4 NaN 32.0 26.2
## Total 100.1 100.0 100.1 NaN 100.1 99.9
## Count 275.0 580.0 904.0 0 272.0 366.0
## COUNTRY
## C12T Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 22.6 28.0 NaN 41.6 12.2 NaN
## little important 10.8 13.5 NaN 20.5 10.7 NaN
## somewhat important 32.3 22.3 NaN 19.8 31.1 NaN
## very important 21.5 19.2 NaN 12.4 27.7 NaN
## extremely important 12.9 17.1 NaN 5.7 18.2 NaN
## Total 100.1 100.1 NaN 100.0 99.9 NaN
## Count 93.0 193.0 0 663.0 411.0 0#Let people express their views.#
colPercents(xtabs(~C12U+COUNTRY, data=wjsn))## COUNTRY
## C12U Albania Argentina Australia Austria Bangladesh
## unimportant 1.0 4.2 4.5 6.3 2.1
## little important 3.4 4.7 4.2 13.5 4.0
## somewhat important 15.4 19.2 15.6 29.2 15.0
## very important 49.0 35.3 44.2 33.9 28.8
## extremely important 31.2 36.7 31.6 17.1 50.0
## Total 100.0 100.1 100.1 100.0 99.9
## Count 292.0 360.0 602.0 799.0 326.0
## COUNTRY
## C12U Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## unimportant 6.2 0.0 2.2 3.2 NaN NaN
## little important 9.2 3.3 1.1 5.3 NaN NaN
## somewhat important 31.5 20.0 7.6 19.1 NaN NaN
## very important 32.7 26.7 21.7 25.0 NaN NaN
## extremely important 20.4 50.0 67.4 47.3 NaN NaN
## Total 100.0 100.0 100.0 99.9 NaN NaN
## Count 584.0 90.0 184.0 376.0 0 0
## COUNTRY
## C12U Canada Chile China Colombia Croatia Cyprus
## unimportant 5.3 7.3 3.6 3.1 0.2 1.5
## little important 7.7 7.5 7.3 4.8 1.8 0.0
## somewhat important 20.1 15.2 29.3 10.7 11.6 46.1
## very important 27.7 22.2 38.8 25.7 28.6 14.2
## extremely important 39.2 47.9 21.0 55.7 57.9 38.2
## Total 100.0 100.1 100.0 100.0 100.1 100.0
## Count 339.0 455.0 642.0 544.0 553.0 204.0
## COUNTRY
## C12U Czech Republic Denmark Ecuador Egypt El Salvador
## unimportant 5.6 3.2 2.8 1.5 0.0
## little important 8.0 12.7 3.9 2.0 3.6
## somewhat important 19.9 33.5 10.8 14.3 12.9
## very important 31.4 34.0 32.1 30.4 33.7
## extremely important 35.2 16.5 50.4 51.8 49.8
## Total 100.1 99.9 100.0 100.0 100.0
## Count 287.0 1354.0 361.0 398.0 249.0
## COUNTRY
## C12U Estonia Ethiopia Fiji Finland France_NON-REP Germany
## unimportant 2.2 4.3 NaN 3.0 1.4 11.8
## little important 6.2 5.2 NaN 6.8 6.3 13.7
## somewhat important 12.1 11.5 NaN 21.0 20.3 27.6
## very important 42.5 29.7 NaN 41.0 33.3 29.5
## extremely important 37.0 49.3 NaN 28.1 38.7 17.4
## Total 100.0 100.0 NaN 99.9 100.0 100.0
## Count 273.0 347.0 0 366.0 222.0 764.0
## COUNTRY
## C12U Greece Hong Kong Hungary Iceland India Indonesia
## unimportant 2.5 2.6 5.6 6.8 2.1 0.0
## little important 2.5 6.9 10.9 4.0 4.1 1.1
## somewhat important 9.0 24.9 29.3 24.3 10.5 13.3
## very important 23.9 37.2 27.9 32.2 29.8 58.5
## extremely important 62.2 28.4 26.3 32.8 53.4 27.1
## Total 100.1 100.0 100.0 100.1 99.9 100.0
## Count 402.0 462.0 376.0 177.0 513.0 661.0
## COUNTRY
## C12U Ireland Israel Italy Japan Kenya Kosovo Latvia
## unimportant 4.7 8.1 5.4 8.7 1.2 5.0 3.9
## little important 9.7 6.9 8.2 31.2 2.7 4.5 3.6
## somewhat important 24.2 15.6 21.9 35.8 15.0 14.6 22.4
## very important 33.6 26.0 27.8 17.2 33.9 22.1 26.0
## extremely important 27.9 43.4 36.8 7.1 47.1 53.8 44.1
## Total 100.1 100.0 100.1 100.0 99.9 100.0 100.0
## Count 298.0 334.0 389.0 744.0 333.0 199.0 281.0
## COUNTRY
## C12U Malawi Malaysia Mexico Moldova Netherlands
## unimportant 0.6 1.4 0.8 3.2 4.1
## little important 1.1 3.3 2.4 7.8 8.7
## somewhat important 6.3 23.5 8.0 18.8 27.4
## very important 27.6 42.8 23.7 25.7 39.8
## extremely important 64.4 29.0 65.2 44.5 20.1
## Total 100.0 100.0 100.1 100.0 100.1
## Count 174.0 362.0 376.0 218.0 518.0
## COUNTRY
## C12U New Zealand Norway Philippines Poland Portugal Oman
## unimportant 2.1 7.4 0.0 NaN 2.7 6.2
## little important 5.5 5.9 3.7 NaN 4.2 7.8
## somewhat important 20.9 24.7 12.9 NaN 21.4 22.6
## very important 37.6 37.0 41.0 NaN 32.8 39.3
## extremely important 33.8 25.0 42.4 NaN 38.9 24.1
## Total 99.9 100.0 100.0 NaN 100.0 100.0
## Count 526.0 608.0 349.0 0 406.0 257.0
## COUNTRY
## C12U Qatar Romania Russia Serbia Sierra Leone
## unimportant 21.0 4.1 4.9 2.7 0.5
## little important 22.8 4.7 7.9 2.7 0.9
## somewhat important 19.9 17.7 27.9 13.7 3.2
## very important 18.2 27.7 28.2 25.9 30.6
## extremely important 18.2 45.7 31.0 54.9 64.8
## Total 100.1 99.9 99.9 99.9 100.0
## Count 347.0 339.0 390.0 401.0 216.0
## COUNTRY
## C12U Singapore_NON-REP South Africa South Korea Spain
## unimportant 7.5 2.2 2.3 0.3
## little important 20.4 2.4 10.3 1.8
## somewhat important 22.6 10.8 25.6 9.5
## very important 28.0 34.5 44.2 28.3
## extremely important 21.5 50.1 17.7 60.2
## Total 100.0 100.0 100.1 100.1
## Count 93.0 371.0 351.0 389.0
## COUNTRY
## C12U Sudan Sweden Switzerland Taiwan Tanzania Thailand
## unimportant 2.6 0.7 5.0 NaN 0.0 0.0
## little important 2.2 1.4 10.5 NaN 0.0 0.8
## somewhat important 4.4 7.6 28.5 NaN 7.4 22.8
## very important 15.7 36.8 37.3 NaN 46.7 26.9
## extremely important 75.2 53.6 18.8 NaN 46.0 49.5
## Total 100.1 100.1 100.1 NaN 100.1 100.0
## Count 274.0 590.0 906.0 0 272.0 372.0
## COUNTRY
## C12U Turkey_NON-REP UAE Uganda UK USA Zambia
## unimportant 5.3 21.7 NaN 10.1 2.7 NaN
## little important 2.1 15.9 NaN 11.8 3.9 NaN
## somewhat important 5.3 20.3 NaN 24.2 16.8 NaN
## very important 31.9 23.7 NaN 32.5 22.6 NaN
## extremely important 55.3 18.4 NaN 21.4 54.0 NaN
## Total 99.9 100.0 NaN 100.0 100.0 NaN
## Count 94.0 207.0 0 686.0 411.0 0#The following statements describe different approaches to journalism. For each of them, please tell me how strongly you agree or disagree.#
#Journalists should always adhere to codes of professional ethics, regardless of situation and context.#
colPercents(xtabs(~C13A+COUNTRY, data=wjsn))## COUNTRY
## C13A Albania Argentina Australia Austria Bangladesh Belgium
## strongly disagree 1.4 2.5 0.2 0.1 0.6 0.0
## somewhat disagree 2.0 5.3 1.0 0.5 0.0 2.0
## undecided 6.8 4.7 2.5 5.0 7.1 6.8
## somewhat agree 31.9 26.2 24.5 23.6 17.2 41.3
## strongly agree 58.0 61.3 71.9 70.7 75.1 49.9
## Total 100.1 100.0 100.1 99.9 100.0 100.0
## Count 295.0 359.0 605.0 812.0 338.0 589.0
## COUNTRY
## C13A Bhutan Botswana Brazil Bulgaria Cameroon Canada Chile
## strongly disagree 0.0 0.0 1.3 NaN NaN 2.3 2.7
## somewhat disagree 0.0 0.5 2.4 NaN NaN 1.4 2.1
## undecided 3.3 2.7 6.6 NaN NaN 1.7 8.8
## somewhat agree 21.1 13.4 34.6 NaN NaN 32.4 16.0
## strongly agree 75.6 83.3 55.1 NaN NaN 62.2 70.4
## Total 100.0 99.9 100.0 NaN NaN 100.0 100.0
## Count 90.0 186.0 376.0 0 0 349.0 480.0
## COUNTRY
## C13A China Colombia Croatia Cyprus Czech Republic Denmark
## strongly disagree 0.5 4.7 0.7 0.0 1.4 3.5
## somewhat disagree 1.2 0.9 1.1 1.0 5.2 10.7
## undecided 6.5 5.4 3.8 9.3 6.6 9.9
## somewhat agree 30.2 15.5 17.3 24.0 32.8 36.6
## strongly agree 61.6 73.5 77.1 65.7 54.1 39.3
## Total 100.0 100.0 100.0 100.0 100.1 100.0
## Count 648.0 554.0 555.0 204.0 290.0 1360.0
## COUNTRY
## C13A Ecuador Egypt El Salvador Estonia Ethiopia Fiji
## strongly disagree 0.8 5.5 0.4 0.4 19.7 NaN
## somewhat disagree 0.8 0.2 1.2 2.6 25.5 NaN
## undecided 1.1 5.0 3.2 4.0 6.1 NaN
## somewhat agree 13.2 11.5 17.6 34.3 21.4 NaN
## strongly agree 84.1 77.8 77.6 58.8 27.2 NaN
## Total 100.0 100.0 100.0 100.1 99.9 NaN
## Count 371.0 400.0 250.0 274.0 345.0 0
## COUNTRY
## C13A Finland France_NON-REP Germany Greece Hong Kong
## strongly disagree 0.5 0.4 0.3 0.0 1.1
## somewhat disagree 0.5 1.8 0.4 1.6 1.1
## undecided 1.1 8.4 5.5 4.9 8.1
## somewhat agree 29.0 30.1 27.0 32.3 43.9
## strongly agree 68.9 59.3 66.9 61.2 45.8
## Total 100.0 100.0 100.1 100.0 100.0
## Count 366.0 226.0 767.0 384.0 469.0
## COUNTRY
## C13A Hungary Iceland India Indonesia Ireland Israel Italy
## strongly disagree 0.5 1.1 8.1 0.2 1.0 7.8 1.0
## somewhat disagree 2.9 2.8 5.6 0.0 5.3 4.2 2.0
## undecided 13.4 7.8 8.7 0.9 6.0 4.2 3.3
## somewhat agree 32.8 36.7 23.2 20.4 31.3 18.9 21.7
## strongly agree 50.4 51.7 54.4 78.5 56.3 64.9 72.0
## Total 100.0 100.1 100.0 100.0 99.9 100.0 100.0
## Count 381.0 180.0 517.0 661.0 300.0 333.0 396.0
## COUNTRY
## C13A Japan Kenya Kosovo Latvia Malawi Malaysia Mexico
## strongly disagree 0.3 0.6 0.0 1.5 0.6 0.3 0.5
## somewhat disagree 2.4 1.8 2.0 2.1 1.7 1.4 0.3
## undecided 12.3 1.8 1.5 1.2 1.7 9.3 3.2
## somewhat agree 46.5 19.4 15.3 19.6 19.3 35.7 17.6
## strongly agree 38.5 76.5 81.2 75.5 76.7 53.3 78.5
## Total 100.0 100.1 100.0 99.9 100.0 100.0 100.1
## Count 742.0 340.0 202.0 331.0 176.0 364.0 376.0
## COUNTRY
## C13A Moldova Netherlands New Zealand Norway Philippines
## strongly disagree 0.0 2.3 0.4 0.5 1.4
## somewhat disagree 2.7 4.1 1.9 1.0 2.3
## undecided 6.8 4.9 1.7 2.1 0.3
## somewhat agree 30.3 38.9 25.3 22.8 26.6
## strongly agree 60.2 49.8 70.8 73.7 69.4
## Total 100.0 100.0 100.1 100.1 100.0
## Count 221.0 512.0 534.0 631.0 346.0
## COUNTRY
## C13A Poland Portugal Oman Qatar Romania Russia Serbia
## strongly disagree NaN 0.2 6.6 6.1 0.9 4.6 2.0
## somewhat disagree NaN 2.0 1.9 9.0 1.2 6.2 1.2
## undecided NaN 3.2 10.1 10.1 6.5 16.9 2.0
## somewhat agree NaN 26.6 28.4 36.7 29.7 34.4 17.5
## strongly agree NaN 68.0 52.9 38.2 61.8 37.9 77.3
## Total NaN 100.0 99.9 100.1 100.1 100.0 100.0
## Count 0 403.0 257.0 346.0 340.0 390.0 406.0
## COUNTRY
## C13A Sierra Leone Singapore_NON-REP South Africa
## strongly disagree 0.5 30.5 1.6
## somewhat disagree 0.5 15.8 4.0
## undecided 1.8 2.1 2.2
## somewhat agree 12.7 20.0 22.6
## strongly agree 84.5 31.6 69.5
## Total 100.0 100.0 99.9
## Count 220.0 95.0 371.0
## COUNTRY
## C13A South Korea Spain Sudan Sweden Switzerland Taiwan
## strongly disagree 0.0 1.3 3.3 0.3 0.4 NaN
## somewhat disagree 2.3 2.1 0.0 0.7 1.5 NaN
## undecided 9.9 9.0 1.5 0.7 6.7 NaN
## somewhat agree 37.7 31.5 5.1 37.0 30.6 NaN
## strongly agree 50.1 56.2 90.2 61.3 60.7 NaN
## Total 100.0 100.1 100.1 100.0 99.9 NaN
## Count 355.0 390.0 275.0 592.0 908.0 0
## COUNTRY
## C13A Tanzania Thailand Turkey_NON-REP UAE Uganda UK
## strongly disagree 0.0 0.0 1.1 36.2 NaN 0.7
## somewhat disagree 0.0 0.0 1.1 7.0 NaN 2.3
## undecided 18.4 2.9 5.3 0.4 NaN 2.9
## somewhat agree 44.1 18.5 41.5 9.6 NaN 28.1
## strongly agree 37.5 78.6 51.1 46.7 NaN 66.0
## Total 100.0 100.0 100.1 99.9 NaN 100.0
## Count 272.0 373.0 94.0 229.0 0 694.0
## COUNTRY
## C13A USA Zambia
## strongly disagree 0.0 NaN
## somewhat disagree 1.7 NaN
## undecided 5.1 NaN
## somewhat agree 18.8 NaN
## strongly agree 74.4 NaN
## Total 100.0 NaN
## Count 414.0 0#What is ethical inn journalism depends on the specific situation#
colPercents(xtabs(~C13B+COUNTRY, data=wjsn))## COUNTRY
## C13B Albania Argentina Australia Austria Bangladesh Belgium
## strongly disagree 5.8 31.3 23.5 13.5 20.0 11.3
## somewhat disagree 18.4 17.3 19.4 22.3 11.8 18.0
## undecided 12.9 8.7 9.5 23.4 15.8 17.7
## somewhat agree 49.0 29.9 30.8 29.1 28.8 36.5
## strongly agree 13.9 12.8 16.7 11.7 23.6 16.5
## Total 100.0 100.0 99.9 100.0 100.0 100.0
## Count 294.0 358.0 603.0 798.0 330.0 583.0
## COUNTRY
## C13B Bhutan Botswana Brazil Bulgaria Cameroon Canada Chile
## strongly disagree 1.2 27.0 20.5 NaN NaN 19.5 34.0
## somewhat disagree 7.0 7.0 28.5 NaN NaN 16.0 13.4
## undecided 8.1 11.9 14.6 NaN NaN 10.6 15.5
## somewhat agree 44.2 24.3 27.4 NaN NaN 37.8 19.7
## strongly agree 39.5 29.7 9.0 NaN NaN 16.0 17.4
## Total 100.0 99.9 100.0 NaN NaN 99.9 100.0
## Count 86.0 185.0 376.0 0 0 349.0 477.0
## COUNTRY
## C13B China Colombia Croatia Cyprus Czech Republic Denmark
## strongly disagree 13.2 39.4 41.0 31.2 12.9 15.4
## somewhat disagree 32.1 13.1 13.2 12.9 13.2 24.6
## undecided 20.8 12.5 7.9 15.3 13.6 14.1
## somewhat agree 27.0 17.8 23.9 30.7 44.3 34.5
## strongly agree 6.8 17.2 14.1 9.9 16.0 11.4
## Total 99.9 100.0 100.1 100.0 100.0 100.0
## Count 644.0 551.0 547.0 202.0 287.0 1355.0
## COUNTRY
## C13B Ecuador Egypt El Salvador Estonia Ethiopia Fiji
## strongly disagree 30.2 32.4 23.3 13.1 20.7 NaN
## somewhat disagree 13.7 8.5 16.1 19.0 10.2 NaN
## undecided 10.7 19.8 8.0 15.7 13.4 NaN
## somewhat agree 23.9 20.1 23.3 36.1 33.2 NaN
## strongly agree 21.4 19.1 29.3 16.1 22.4 NaN
## Total 99.9 99.9 100.0 100.0 99.9 NaN
## Count 364.0 398.0 249.0 274.0 343.0 0
## COUNTRY
## C13B Finland France_NON-REP Germany Greece Hong Kong
## strongly disagree 30.1 20.0 15.4 21.1 4.3
## somewhat disagree 22.7 14.2 17.5 35.3 18.7
## undecided 11.0 16.4 20.7 7.5 28.5
## somewhat agree 29.0 33.3 29.5 25.9 39.9
## strongly agree 7.1 16.0 16.9 10.2 8.6
## Total 99.9 99.9 100.0 100.0 100.0
## Count 365.0 225.0 759.0 374.0 466.0
## COUNTRY
## C13B Hungary Iceland India Indonesia Ireland Israel Italy
## strongly disagree 14.7 24.2 13.5 27.5 17.5 33.8 35.6
## somewhat disagree 13.9 37.6 4.6 23.1 14.2 7.2 21.5
## undecided 16.1 13.5 16.4 10.0 8.9 5.4 3.8
## somewhat agree 37.6 21.3 35.5 33.4 41.1 23.1 28.3
## strongly agree 17.6 3.4 30.1 5.9 18.2 30.5 10.9
## Total 99.9 100.0 100.1 99.9 99.9 100.0 100.1
## Count 380.0 178.0 519.0 658.0 302.0 334.0 396.0
## COUNTRY
## C13B Japan Kenya Kosovo Latvia Malawi Malaysia Mexico
## strongly disagree 3.4 12.6 11.1 19.0 29.8 5.0 20.3
## somewhat disagree 14.7 9.7 22.2 24.8 8.8 7.3 6.7
## undecided 26.4 12.9 19.7 8.9 11.7 19.8 13.6
## somewhat agree 46.1 38.5 27.8 33.7 31.0 46.9 35.0
## strongly agree 9.5 26.2 19.2 13.5 18.7 20.9 24.3
## Total 100.1 99.9 100.0 99.9 100.0 99.9 99.9
## Count 740.0 340.0 198.0 326.0 171.0 358.0 374.0
## COUNTRY
## C13B Moldova Netherlands New Zealand Norway Philippines
## strongly disagree 15.8 12.2 19.8 14.5 17.1
## somewhat disagree 10.9 9.7 13.2 22.8 15.7
## undecided 18.6 9.5 7.7 9.2 4.9
## somewhat agree 32.1 42.3 41.3 38.1 40.3
## strongly agree 22.6 26.2 17.9 15.3 22.0
## Total 100.0 99.9 99.9 99.9 100.0
## Count 221.0 515.0 530.0 619.0 345.0
## COUNTRY
## C13B Poland Portugal Oman Qatar Romania Russia Serbia
## strongly disagree NaN 30.8 5.4 24.8 22.4 12.6 33.8
## somewhat disagree NaN 22.8 10.5 23.7 13.3 14.6 16.0
## undecided NaN 12.9 24.1 14.8 15.6 15.6 15.5
## somewhat agree NaN 24.3 37.0 19.4 28.6 25.9 23.8
## strongly agree NaN 9.2 23.0 17.3 20.1 31.3 11.0
## Total NaN 100.0 100.0 100.0 100.0 100.0 100.1
## Count 0 403.0 257.0 371.0 339.0 390.0 400.0
## COUNTRY
## C13B Sierra Leone Singapore_NON-REP South Africa
## strongly disagree 17.2 11.7 32.4
## somewhat disagree 5.6 27.7 16.8
## undecided 14.4 13.8 5.8
## somewhat agree 33.0 28.7 31.3
## strongly agree 29.8 18.1 13.7
## Total 100.0 100.0 100.0
## Count 215.0 94.0 364.0
## COUNTRY
## C13B South Korea Spain Sudan Sweden Switzerland Taiwan
## strongly disagree 17.8 30.9 10.3 11.4 11.3 NaN
## somewhat disagree 42.1 21.4 2.2 22.4 19.5 NaN
## undecided 25.7 15.5 8.8 4.3 17.7 NaN
## somewhat agree 13.3 22.9 17.9 48.3 37.0 NaN
## strongly agree 1.1 9.3 60.8 13.6 14.4 NaN
## Total 100.0 100.0 100.0 100.0 99.9 NaN
## Count 354.0 388.0 273.0 588.0 902.0 0
## COUNTRY
## C13B Tanzania Thailand Turkey_NON-REP UAE Uganda UK
## strongly disagree 0.8 5.4 15.1 24.1 NaN 11.9
## somewhat disagree 31.0 3.2 28.0 25.5 NaN 13.9
## undecided 17.8 16.4 18.3 4.5 NaN 8.3
## somewhat agree 50.4 40.6 29.0 28.6 NaN 45.3
## strongly agree 0.0 34.4 9.7 17.3 NaN 20.6
## Total 100.0 100.0 100.1 100.0 NaN 100.0
## Count 242.0 372.0 93.0 220.0 0 689.0
## COUNTRY
## C13B USA Zambia
## strongly disagree 32.0 NaN
## somewhat disagree 16.5 NaN
## undecided 16.9 NaN
## somewhat agree 21.5 NaN
## strongly agree 13.1 NaN
## Total 100.0 NaN
## Count 413.0 0#What is ethical in journalism is a matter of personal judgment#
colPercents(xtabs(~C13C+COUNTRY, data=wjsn))## COUNTRY
## C13C Albania Argentina Australia Austria Bangladesh Belgium
## strongly disagree 12.9 37.2 36.4 26.9 23.2 28.6
## somewhat disagree 35.6 18.4 30.0 32.8 16.8 30.8
## undecided 14.6 9.8 12.6 25.8 19.6 23.8
## somewhat agree 23.7 22.1 16.2 11.7 19.3 13.5
## strongly agree 13.2 12.6 4.8 2.7 21.1 3.3
## Total 100.0 100.1 100.0 99.9 100.0 100.0
## Count 295.0 358.0 604.0 802.0 327.0 584.0
## COUNTRY
## C13C Bhutan Botswana Brazil Bulgaria Cameroon Canada Chile
## strongly disagree 10.2 50.0 28.7 NaN NaN 35.0 39.3
## somewhat disagree 9.1 14.0 40.7 NaN NaN 34.1 18.1
## undecided 37.5 9.1 15.7 NaN NaN 12.9 21.4
## somewhat agree 21.6 17.2 10.9 NaN NaN 16.0 12.0
## strongly agree 21.6 9.7 4.0 NaN NaN 2.0 9.2
## Total 100.0 100.0 100.0 NaN NaN 100.0 100.0
## Count 88.0 186.0 376.0 0 0 349.0 476.0
## COUNTRY
## C13C China Colombia Croatia Cyprus Czech Republic Denmark
## strongly disagree 17.1 38.1 39.2 51.7 25.4 25.9
## somewhat disagree 50.0 11.2 13.9 16.4 23.7 32.8
## undecided 19.1 11.9 9.5 11.4 19.2 14.0
## somewhat agree 12.6 15.0 22.7 15.4 27.9 23.6
## strongly agree 1.2 23.8 14.7 5.0 3.8 3.8
## Total 100.0 100.0 100.0 99.9 100.0 100.1
## Count 644.0 554.0 546.0 201.0 287.0 1361.0
## COUNTRY
## C13C Ecuador Egypt El Salvador Estonia Ethiopia Fiji
## strongly disagree 25.8 20.7 29.3 34.8 36.7 NaN
## somewhat disagree 14.4 8.1 19.7 27.0 15.7 NaN
## undecided 11.1 22.4 11.6 20.0 13.0 NaN
## somewhat agree 26.6 18.6 20.5 12.2 21.6 NaN
## strongly agree 22.0 30.2 18.9 5.9 13.0 NaN
## Total 99.9 100.0 100.0 99.9 100.0 NaN
## Count 368.0 397.0 249.0 270.0 338.0 0
## COUNTRY
## C13C Finland France_NON-REP Germany Greece Hong Kong
## strongly disagree 29.6 23.9 36.5 27.1 5.1
## somewhat disagree 31.0 27.5 32.4 45.0 27.5
## undecided 13.7 24.8 20.3 4.6 33.7
## somewhat agree 21.4 18.0 8.7 14.2 28.4
## strongly agree 4.4 5.9 2.1 9.1 5.3
## Total 100.1 100.1 100.0 100.0 100.0
## Count 365.0 222.0 759.0 373.0 469.0
## COUNTRY
## C13C Hungary Iceland India Indonesia Ireland Israel Italy
## strongly disagree 29.1 28.5 23.2 36.5 25.2 51.5 57.8
## somewhat disagree 25.4 32.4 15.2 29.8 28.5 12.1 18.9
## undecided 20.6 14.5 20.1 11.0 11.3 5.8 5.3
## somewhat agree 18.5 17.9 22.5 18.7 27.5 14.8 14.9
## strongly agree 6.3 6.7 18.9 4.0 7.6 15.8 3.0
## Total 99.9 100.0 99.9 100.0 100.1 100.0 99.9
## Count 378.0 179.0 512.0 654.0 302.0 330.0 396.0
## COUNTRY
## C13C Japan Kenya Kosovo Latvia Malawi Malaysia Mexico
## strongly disagree 10.4 27.4 29.7 20.0 37.4 10.9 26.1
## somewhat disagree 33.1 19.8 26.7 24.5 17.0 13.7 13.3
## undecided 30.2 14.5 15.4 13.4 12.9 27.7 15.7
## somewhat agree 21.6 23.0 16.9 29.9 19.9 35.8 24.2
## strongly agree 4.7 15.3 11.3 12.2 12.9 12.0 20.7
## Total 100.0 100.0 100.0 100.0 100.1 100.1 100.0
## Count 741.0 339.0 195.0 335.0 171.0 358.0 376.0
## COUNTRY
## C13C Moldova Netherlands New Zealand Norway Philippines
## strongly disagree 31.5 20.0 29.3 18.3 20.1
## somewhat disagree 28.8 16.9 23.3 28.0 21.8
## undecided 16.9 17.3 9.4 11.3 9.0
## somewhat agree 14.6 35.5 31.3 34.1 36.0
## strongly agree 8.2 10.3 6.8 8.3 13.1
## Total 100.0 100.0 100.1 100.0 100.0
## Count 219.0 515.0 533.0 618.0 344.0
## COUNTRY
## C13C Poland Portugal Oman Qatar Romania Russia Serbia
## strongly disagree NaN 43.9 4.7 20.5 38.2 25.1 39.2
## somewhat disagree NaN 30.9 7.0 21.3 21.3 25.9 18.2
## undecided NaN 12.7 27.2 12.9 20.4 18.5 13.7
## somewhat agree NaN 8.7 33.5 24.5 15.4 18.2 20.0
## strongly agree NaN 3.7 27.6 20.8 4.7 12.3 9.0
## Total NaN 99.9 100.0 100.0 100.0 100.0 100.1
## Count 0 401.0 257.0 371.0 338.0 390.0 401.0
## COUNTRY
## C13C Sierra Leone Singapore_NON-REP South Africa
## strongly disagree 26.5 13.8 41.1
## somewhat disagree 13.5 38.3 18.8
## undecided 17.2 20.2 9.5
## somewhat agree 20.5 18.1 23.7
## strongly agree 22.3 9.6 6.8
## Total 100.0 100.0 99.9
## Count 215.0 94.0 367.0
## COUNTRY
## C13C South Korea Spain Sudan Sweden Switzerland Taiwan
## strongly disagree 20.3 38.7 6.6 16.8 30.0 NaN
## somewhat disagree 45.4 26.4 2.6 29.3 37.9 NaN
## undecided 18.6 19.7 8.4 4.1 19.3 NaN
## somewhat agree 13.0 12.3 11.4 43.8 10.4 NaN
## strongly agree 2.8 2.8 71.1 6.1 2.4 NaN
## Total 100.1 99.9 100.1 100.1 100.0 NaN
## Count 355.0 390.0 273.0 591.0 903.0 0
## COUNTRY
## C13C Tanzania Thailand Turkey_NON-REP UAE Uganda UK
## strongly disagree 6.9 4.0 18.3 24.9 NaN 20.7
## somewhat disagree 29.4 4.8 50.5 26.3 NaN 28.5
## undecided 5.2 18.3 11.8 4.7 NaN 12.4
## somewhat agree 54.4 43.3 14.0 29.1 NaN 32.7
## strongly agree 4.0 29.6 5.4 15.0 NaN 5.6
## Total 99.9 100.0 100.0 100.0 NaN 99.9
## Count 248.0 372.0 93.0 213.0 0 691.0
## COUNTRY
## C13C USA Zambia
## strongly disagree 46.1 NaN
## somewhat disagree 27.3 NaN
## undecided 16.4 NaN
## somewhat agree 8.0 NaN
## strongly agree 2.2 NaN
## Total 100.0 NaN
## Count 414.0 0#Given an important story, which of the following, if any, do you think may be justified on occasion and which would you not approve of under any circumstances?#
#Paying people for confidential information#
colPercents(xtabs(~C14A+COUNTRY, data=wjsn))## COUNTRY
## C14A Albania Argentina Australia Austria
## always justified 13.9 1.4 1.5 2.4
## justified on occasion 59.2 28.7 26.9 42.2
## not approve under any circumstances 26.9 69.9 71.6 55.5
## Total 100.0 100.0 100.0 100.1
## Count 294.0 345.0 603.0 761.0
## COUNTRY
## C14A Bangladesh Belgium Bhutan Botswana
## always justified 9.8 3.3 30.7 4.9
## justified on occasion 40.7 29.7 40.9 27.7
## not approve under any circumstances 49.5 67.1 28.4 67.4
## Total 100.0 100.1 100.0 100.0
## Count 317.0 580.0 88.0 184.0
## COUNTRY
## C14A Brazil Bulgaria Cameroon Canada
## always justified 1.9 NaN NaN 0.9
## justified on occasion 17.9 NaN NaN 33.3
## not approve under any circumstances 80.3 NaN NaN 65.8
## Total 100.1 NaN NaN 100.0
## Count 375.0 0 0 342.0
## COUNTRY
## C14A Chile China Colombia Croatia Cyprus
## always justified 6.0 31.4 5.3 6.2 2.0
## justified on occasion 29.9 50.5 9.5 36.2 33.8
## not approve under any circumstances 64.1 18.1 85.3 57.6 64.2
## Total 100.0 100.0 100.1 100.0 100.0
## Count 465.0 641.0 550.0 484.0 204.0
## COUNTRY
## C14A Czech Republic Denmark Ecuador Egypt
## always justified 4.2 0.6 6.9 8.3
## justified on occasion 54.9 20.5 25.0 41.0
## not approve under any circumstances 40.8 78.9 68.1 50.8
## Total 99.9 100.0 100.0 100.1
## Count 284.0 1354.0 364.0 398.0
## COUNTRY
## C14A El Salvador Estonia Ethiopia Fiji
## always justified 3.3 7.9 2.7 NaN
## justified on occasion 22.9 47.9 25.7 NaN
## not approve under any circumstances 73.9 44.2 71.6 NaN
## Total 100.1 100.0 100.0 NaN
## Count 245.0 267.0 331.0 0
## COUNTRY
## C14A Finland France_NON-REP Germany
## always justified 1.1 0.5 6.1
## justified on occasion 40.3 37.7 50.0
## not approve under any circumstances 58.5 61.9 43.9
## Total 99.9 100.1 100.0
## Count 357.0 215.0 740.0
## COUNTRY
## C14A Greece Hong Kong Hungary Iceland
## always justified 1.1 4.5 10.0 2.4
## justified on occasion 36.8 45.2 39.6 32.7
## not approve under any circumstances 62.0 50.2 50.4 64.9
## Total 99.9 99.9 100.0 100.0
## Count 361.0 440.0 351.0 168.0
## COUNTRY
## C14A India Indonesia Ireland Israel Italy
## always justified 10.8 4.2 2.6 19.8 1.0
## justified on occasion 42.6 60.1 49.5 36.2 37.7
## not approve under any circumstances 46.6 35.7 47.9 44.0 61.3
## Total 100.0 100.0 100.0 100.0 100.0
## Count 500.0 647.0 303.0 334.0 385.0
## COUNTRY
## C14A Japan Kenya Kosovo Latvia Malawi
## always justified 0.8 5.8 8.9 2.3 7.0
## justified on occasion 47.4 50.9 34.2 38.6 38.6
## not approve under any circumstances 51.8 43.3 56.8 59.2 54.4
## Total 100.0 100.0 99.9 100.1 100.0
## Count 741.0 330.0 190.0 306.0 171.0
## COUNTRY
## C14A Malaysia Mexico Moldova Netherlands
## always justified 7.2 3.5 7.3 2.6
## justified on occasion 42.7 25.6 47.7 40.2
## not approve under any circumstances 50.2 70.9 45.0 57.1
## Total 100.1 100.0 100.0 99.9
## Count 321.0 375.0 218.0 492.0
## COUNTRY
## C14A New Zealand Norway Philippines
## always justified 0.4 0.9 0.3
## justified on occasion 35.3 25.9 29.4
## not approve under any circumstances 64.3 73.2 70.3
## Total 100.0 100.0 100.0
## Count 499.0 559.0 343.0
## COUNTRY
## C14A Poland Portugal Oman Qatar Romania
## always justified NaN 20.2 17.1 3.8 9.4
## justified on occasion NaN 28.4 34.6 5.6 49.4
## not approve under any circumstances NaN 51.4 48.2 90.6 41.2
## Total NaN 100.0 99.9 100.0 100.0
## Count 0 401.0 257.0 339.0 340.0
## COUNTRY
## C14A Russia Serbia Sierra Leone
## always justified 13.6 5.4 12.2
## justified on occasion 55.1 42.1 40.0
## not approve under any circumstances 31.3 52.5 47.8
## Total 100.0 100.0 100.0
## Count 390.0 387.0 205.0
## COUNTRY
## C14A Singapore_NON-REP South Africa
## always justified 0.0 0.6
## justified on occasion 21.5 20.7
## not approve under any circumstances 78.5 78.7
## Total 100.0 100.0
## Count 93.0 347.0
## COUNTRY
## C14A South Korea Spain Sudan Sweden
## always justified 1.1 2.6 13.1 0.6
## justified on occasion 60.8 37.2 27.3 48.4
## not approve under any circumstances 38.1 60.3 59.6 51.0
## Total 100.0 100.1 100.0 100.0
## Count 352.0 390.0 275.0 529.0
## COUNTRY
## C14A Switzerland Taiwan Tanzania Thailand
## always justified 0.7 NaN 1.1 11.6
## justified on occasion 27.8 NaN 3.3 34.8
## not approve under any circumstances 71.5 NaN 95.5 53.6
## Total 100.0 NaN 99.9 100.0
## Count 903.0 0 269.0 362.0
## COUNTRY
## C14A Turkey_NON-REP UAE Uganda UK
## always justified 4.3 5.9 NaN 1.5
## justified on occasion 41.9 19.3 NaN 51.4
## not approve under any circumstances 53.8 74.8 NaN 47.1
## Total 100.0 100.0 NaN 100.0
## Count 93.0 119.0 0 663.0
## COUNTRY
## C14A USA Zambia
## always justified 1.0 NaN
## justified on occasion 11.7 NaN
## not approve under any circumstances 87.3 NaN
## Total 100.0 NaN
## Count 411.0 0#Using confidential business or government documents without authorization#
colPercents(xtabs(~C14B+COUNTRY, data=wjsn))## COUNTRY
## C14B Albania Argentina Australia Austria
## always justified 17.1 14.9 20.3 18.1
## justified on occasion 51.5 57.6 55.9 61.9
## not approve under any circumstances 31.4 27.5 23.8 20.0
## Total 100.0 100.0 100.0 100.0
## Count 293.0 356.0 601.0 750.0
## COUNTRY
## C14B Bangladesh Belgium Bhutan Botswana
## always justified 8.0 18.3 29.5 13.0
## justified on occasion 38.1 61.1 39.8 44.9
## not approve under any circumstances 53.8 20.6 30.7 42.2
## Total 99.9 100.0 100.0 100.1
## Count 312.0 586.0 88.0 185.0
## COUNTRY
## C14B Brazil Bulgaria Cameroon Canada
## always justified 14.9 NaN NaN 31.5
## justified on occasion 62.9 NaN NaN 58.4
## not approve under any circumstances 22.1 NaN NaN 10.1
## Total 99.9 NaN NaN 100.0
## Count 375.0 0 0 346.0
## COUNTRY
## C14B Chile China Colombia Croatia Cyprus
## always justified 14.0 2.4 11.1 18.7 2.0
## justified on occasion 57.1 35.7 11.6 55.9 70.8
## not approve under any circumstances 28.9 61.9 77.3 25.5 27.2
## Total 100.0 100.0 100.0 100.1 100.0
## Count 471.0 638.0 550.0 487.0 202.0
## COUNTRY
## C14B Czech Republic Denmark Ecuador Egypt
## always justified 10.6 9.4 6.0 10.3
## justified on occasion 69.9 81.4 30.7 40.2
## not approve under any circumstances 19.5 9.1 63.3 49.5
## Total 100.0 99.9 100.0 100.0
## Count 282.0 1358.0 365.0 398.0
## COUNTRY
## C14B El Salvador Estonia Ethiopia Fiji
## always justified 5.3 10.8 3.3 NaN
## justified on occasion 42.7 57.5 19.2 NaN
## not approve under any circumstances 52.0 31.7 77.5 NaN
## Total 100.0 100.0 100.0 NaN
## Count 246.0 268.0 334.0 0
## COUNTRY
## C14B Finland France_NON-REP Germany
## always justified 11.1 43.3 22.1
## justified on occasion 73.0 51.3 55.5
## not approve under any circumstances 15.9 5.4 22.4
## Total 100.0 100.0 100.0
## Count 352.0 224.0 732.0
## COUNTRY
## C14B Greece Hong Kong Hungary Iceland
## always justified 13.2 7.2 10.6 17.6
## justified on occasion 64.4 67.3 46.3 66.5
## not approve under any circumstances 22.5 25.5 43.1 15.9
## Total 100.1 100.0 100.0 100.0
## Count 365.0 447.0 350.0 170.0
## COUNTRY
## C14B India Indonesia Ireland Israel Italy
## always justified 9.8 2.5 21.5 36.1 16.9
## justified on occasion 40.1 49.8 70.2 29.0 59.6
## not approve under any circumstances 50.1 47.8 8.3 34.9 23.5
## Total 100.0 100.1 100.0 100.0 100.0
## Count 501.0 647.0 302.0 338.0 391.0
## COUNTRY
## C14B Japan Kenya Kosovo Latvia Malawi
## always justified 22.3 5.8 14.6 9.4 11.8
## justified on occasion 69.5 45.5 44.3 66.2 37.6
## not approve under any circumstances 8.2 48.8 41.1 24.4 50.6
## Total 100.0 100.1 100.0 100.0 100.0
## Count 740.0 330.0 192.0 320.0 170.0
## COUNTRY
## C14B Malaysia Mexico Moldova Netherlands
## always justified 5.3 16.8 14.7 12.0
## justified on occasion 28.5 41.8 52.3 72.4
## not approve under any circumstances 66.2 41.5 33.0 15.6
## Total 100.0 100.1 100.0 100.0
## Count 340.0 376.0 218.0 507.0
## COUNTRY
## C14B New Zealand Norway Philippines
## always justified 10.1 7.8 3.8
## justified on occasion 73.3 82.3 64.1
## not approve under any circumstances 16.6 9.9 32.2
## Total 100.0 100.0 100.1
## Count 517.0 586.0 345.0
## COUNTRY
## C14B Poland Portugal Oman Qatar Romania
## always justified NaN 20.0 25.3 2.0 11.8
## justified on occasion NaN 58.3 31.9 5.4 48.7
## not approve under any circumstances NaN 21.7 42.8 92.7 39.5
## Total NaN 100.0 100.0 100.1 100.0
## Count 0 405.0 257.0 355.0 339.0
## COUNTRY
## C14B Russia Serbia Sierra Leone
## always justified 11.8 10.7 8.8
## justified on occasion 53.6 52.2 35.8
## not approve under any circumstances 34.6 37.1 55.4
## Total 100.0 100.0 100.0
## Count 390.0 391.0 204.0
## COUNTRY
## C14B Singapore_NON-REP South Africa
## always justified 0.0 8.8
## justified on occasion 46.7 66.5
## not approve under any circumstances 53.3 24.7
## Total 100.0 100.0
## Count 92.0 364.0
## COUNTRY
## C14B South Korea Spain Sudan Sweden
## always justified 4.0 26.4 15.9 11.8
## justified on occasion 81.9 55.4 26.1 84.7
## not approve under any circumstances 14.1 18.2 58.0 3.5
## Total 100.0 100.0 100.0 100.0
## Count 354.0 390.0 276.0 577.0
## COUNTRY
## C14B Switzerland Taiwan Tanzania Thailand
## always justified 12.8 NaN 0.0 12.2
## justified on occasion 70.1 NaN 4.4 34.2
## not approve under any circumstances 17.1 NaN 95.6 53.6
## Total 100.0 NaN 100.0 100.0
## Count 905.0 0 270.0 360.0
## COUNTRY
## C14B Turkey_NON-REP UAE Uganda UK
## always justified 26.9 6.0 NaN 8.0
## justified on occasion 52.7 16.7 NaN 73.2
## not approve under any circumstances 20.4 77.3 NaN 18.8
## Total 100.0 100.0 NaN 100.0
## Count 93.0 216.0 0 672.0
## COUNTRY
## C14B USA Zambia
## always justified 13.4 NaN
## justified on occasion 62.3 NaN
## not approve under any circumstances 24.2 NaN
## Total 99.9 NaN
## Count 409.0 0#Claiming to be somebody else#
colPercents(xtabs(~C14C+COUNTRY, data=wjsn))## COUNTRY
## C14C Albania Argentina Australia Austria
## always justified 5.4 5.1 0.7 1.6
## justified on occasion 41.4 37.1 12.7 47.0
## not approve under any circumstances 53.2 57.8 86.6 51.4
## Total 100.0 100.0 100.0 100.0
## Count 295.0 353.0 605.0 772.0
## COUNTRY
## C14C Bangladesh Belgium Bhutan Botswana
## always justified 2.5 5.9 14.9 2.7
## justified on occasion 31.3 50.1 34.5 28.5
## not approve under any circumstances 66.1 44.0 50.6 68.8
## Total 99.9 100.0 100.0 100.0
## Count 316.0 589.0 87.0 186.0
## COUNTRY
## C14C Brazil Bulgaria Cameroon Canada
## always justified 5.6 NaN NaN 2.3
## justified on occasion 51.1 NaN NaN 36.4
## not approve under any circumstances 43.3 NaN NaN 61.3
## Total 100.0 NaN NaN 100.0
## Count 374.0 0 0 349.0
## COUNTRY
## C14C Chile China Colombia Croatia Cyprus
## always justified 7.5 20.7 8.7 5.9 2.5
## justified on occasion 41.2 65.6 11.5 41.0 57.8
## not approve under any circumstances 51.4 13.7 79.8 53.1 39.7
## Total 100.1 100.0 100.0 100.0 100.0
## Count 469.0 642.0 549.0 490.0 204.0
## COUNTRY
## C14C Czech Republic Denmark Ecuador Egypt
## always justified 4.9 1.5 6.0 6.5
## justified on occasion 61.6 68.9 25.2 31.9
## not approve under any circumstances 33.5 29.6 68.8 61.6
## Total 100.0 100.0 100.0 100.0
## Count 284.0 1359.0 365.0 398.0
## COUNTRY
## C14C El Salvador Estonia Ethiopia Fiji
## always justified 3.7 11.4 7.8 NaN
## justified on occasion 28.0 51.3 32.6 NaN
## not approve under any circumstances 68.3 37.3 59.6 NaN
## Total 100.0 100.0 100.0 NaN
## Count 246.0 271.0 334.0 0
## COUNTRY
## C14C Finland France_NON-REP Germany
## always justified 2.5 4.5 6.2
## justified on occasion 62.1 54.9 43.7
## not approve under any circumstances 35.4 40.6 50.1
## Total 100.0 100.0 100.0
## Count 356.0 224.0 753.0
## COUNTRY
## C14C Greece Hong Kong Hungary Iceland
## always justified 1.9 10.9 10.5 0.0
## justified on occasion 34.3 61.0 46.3 36.4
## not approve under any circumstances 63.7 28.2 43.3 63.6
## Total 99.9 100.1 100.1 100.0
## Count 364.0 451.0 363.0 173.0
## COUNTRY
## C14C India Indonesia Ireland Israel Italy
## always justified 6.0 0.6 1.0 29.0 4.1
## justified on occasion 43.5 30.0 43.5 29.3 56.1
## not approve under any circumstances 50.5 69.3 55.5 41.7 39.8
## Total 100.0 99.9 100.0 100.0 100.0
## Count 499.0 659.0 301.0 338.0 392.0
## COUNTRY
## C14C Japan Kenya Kosovo Latvia Malawi
## always justified 0.3 4.5 6.8 6.3 10.3
## justified on occasion 22.6 38.7 29.2 72.0 28.0
## not approve under any circumstances 77.1 56.8 64.1 21.7 61.7
## Total 100.0 100.0 100.1 100.0 100.0
## Count 742.0 333.0 192.0 332.0 175.0
## COUNTRY
## C14C Malaysia Mexico Moldova Netherlands
## always justified 4.2 8.2 15.0 1.6
## justified on occasion 33.7 33.2 68.2 52.4
## not approve under any circumstances 62.1 58.6 16.8 46.0
## Total 100.0 100.0 100.0 100.0
## Count 335.0 377.0 220.0 504.0
## COUNTRY
## C14C New Zealand Norway Philippines
## always justified 0.2 0.2 0.6
## justified on occasion 25.7 67.4 24.1
## not approve under any circumstances 74.1 32.5 75.3
## Total 100.0 100.1 100.0
## Count 514.0 579.0 344.0
## COUNTRY
## C14C Poland Portugal Oman Qatar Romania
## always justified NaN 24.6 30.0 1.7 16.7
## justified on occasion NaN 34.0 30.4 3.9 70.5
## not approve under any circumstances NaN 41.4 39.7 94.4 12.8
## Total NaN 100.0 100.1 100.0 100.0
## Count 0 403.0 257.0 358.0 336.0
## COUNTRY
## C14C Russia Serbia Sierra Leone
## always justified 14.6 3.0 15.3
## justified on occasion 52.6 33.3 39.8
## not approve under any circumstances 32.8 63.7 44.9
## Total 100.0 100.0 100.0
## Count 390.0 399.0 196.0
## COUNTRY
## C14C Singapore_NON-REP South Africa
## always justified 0 0.8
## justified on occasion 33 38.9
## not approve under any circumstances 67 60.3
## Total 100 100.0
## Count 94 360.0
## COUNTRY
## C14C South Korea Spain Sudan Sweden
## always justified 4.8 8.5 13.9 1.7
## justified on occasion 81.1 38.3 20.1 83.4
## not approve under any circumstances 14.1 53.2 66.1 14.9
## Total 100.0 100.0 100.1 100.0
## Count 354.0 389.0 274.0 578.0
## COUNTRY
## C14C Switzerland Taiwan Tanzania Thailand
## always justified 1.4 NaN 0.0 15.2
## justified on occasion 48.3 NaN 1.5 28.0
## not approve under any circumstances 50.2 NaN 98.5 56.8
## Total 99.9 NaN 100.0 100.0
## Count 900.0 0 272.0 368.0
## COUNTRY
## C14C Turkey_NON-REP UAE Uganda UK
## always justified 17.0 3.3 NaN 0.1
## justified on occasion 60.6 25.1 NaN 46.3
## not approve under any circumstances 22.3 71.6 NaN 53.6
## Total 99.9 100.0 NaN 100.0
## Count 94.0 211.0 0 670.0
## COUNTRY
## C14C USA Zambia
## always justified 2.2 NaN
## justified on occasion 9.4 NaN
## not approve under any circumstances 88.4 NaN
## Total 100.0 NaN
## Count 413.0 0#Exerting pressure on unwilling informants to get a story#
colPercents(xtabs(~C14D+COUNTRY, data=wjsn))## COUNTRY
## C14D Albania Argentina Australia Austria
## always justified 4.5 2.2 2.7 0.3
## justified on occasion 27.7 26.5 48.9 16.9
## not approve under any circumstances 67.8 71.2 48.4 82.8
## Total 100.0 99.9 100.0 100.0
## Count 292.0 358.0 603.0 773.0
## COUNTRY
## C14D Bangladesh Belgium Bhutan Botswana
## always justified 4.8 4.3 17.0 9.7
## justified on occasion 9.3 36.5 44.3 34.1
## not approve under any circumstances 85.9 59.1 38.6 56.2
## Total 100.0 99.9 99.9 100.0
## Count 313.0 575.0 88.0 185.0
## COUNTRY
## C14D Brazil Bulgaria Cameroon Canada
## always justified 5.6 NaN NaN 10
## justified on occasion 45.6 NaN NaN 55
## not approve under any circumstances 48.8 NaN NaN 35
## Total 100.0 NaN NaN 100
## Count 375.0 0 0 331
## COUNTRY
## C14D Chile China Colombia Croatia Cyprus
## always justified 8.8 3.9 8.0 5.3 2.5
## justified on occasion 34.2 44.0 12.2 28.8 72.1
## not approve under any circumstances 57.1 52.1 79.7 65.9 25.5
## Total 100.1 100.0 99.9 100.0 100.1
## Count 468.0 637.0 548.0 493.0 204.0
## COUNTRY
## C14D Czech Republic Denmark Ecuador Egypt
## always justified 3.9 6.5 7.4 14.1
## justified on occasion 38.4 65.4 19.6 35.4
## not approve under any circumstances 57.7 28.1 73.0 50.5
## Total 100.0 100.0 100.0 100.0
## Count 284.0 1356.0 363.0 398.0
## COUNTRY
## C14D El Salvador Estonia Ethiopia Fiji
## always justified 3.3 12.8 11.9 NaN
## justified on occasion 22.9 53.8 28.2 NaN
## not approve under any circumstances 73.9 33.3 59.9 NaN
## Total 100.1 99.9 100.0 NaN
## Count 245.0 273.0 344.0 0
## COUNTRY
## C14D Finland France_NON-REP Germany
## always justified 10.1 2.3 0.7
## justified on occasion 55.1 31.5 18.3
## not approve under any circumstances 34.8 66.2 81.0
## Total 100.0 100.0 100.0
## Count 356.0 219.0 749.0
## COUNTRY
## C14D Greece Hong Kong Hungary Iceland
## always justified 8.1 4.7 9.2 4.2
## justified on occasion 47.8 46.8 34.0 43.0
## not approve under any circumstances 44.1 48.5 56.8 52.7
## Total 100.0 100.0 100.0 99.9
## Count 370.0 425.0 338.0 165.0
## COUNTRY
## C14D India Indonesia Ireland Israel Italy
## always justified 5.9 0.9 1.3 43.8 15.2
## justified on occasion 32.2 24.7 45.3 29.2 53.4
## not approve under any circumstances 61.9 74.4 53.3 27.1 31.4
## Total 100.0 100.0 99.9 100.1 100.0
## Count 494.0 659.0 300.0 336.0 388.0
## COUNTRY
## C14D Japan Kenya Kosovo Latvia Malawi
## always justified 1.4 5.5 8.4 8.5 12.6
## justified on occasion 39.2 30.5 9.4 38.9 23.4
## not approve under any circumstances 59.5 64.0 82.2 52.6 64.1
## Total 100.1 100.0 100.0 100.0 100.1
## Count 735.0 328.0 191.0 329.0 167.0
## COUNTRY
## C14D Malaysia Mexico Moldova Netherlands
## always justified 6.5 5.6 8.6 7.9
## justified on occasion 35.7 16.0 38.9 49.1
## not approve under any circumstances 57.7 78.3 52.5 43.0
## Total 99.9 99.9 100.0 100.0
## Count 336.0 374.0 221.0 495.0
## COUNTRY
## C14D New Zealand Norway Philippines
## always justified 1.6 3 2.0
## justified on occasion 45.6 62 33.6
## not approve under any circumstances 52.9 35 64.3
## Total 100.1 100 99.9
## Count 507.0 560 342.0
## COUNTRY
## C14D Poland Portugal Oman Qatar Romania
## always justified NaN 22.9 24.1 3.1 7.1
## justified on occasion NaN 39.3 38.1 6.1 39.1
## not approve under any circumstances NaN 37.8 37.7 90.8 53.8
## Total NaN 100.0 99.9 100.0 100.0
## Count 0 402.0 257.0 360.0 340.0
## COUNTRY
## C14D Russia Serbia Sierra Leone
## always justified 11.3 8.8 10.1
## justified on occasion 33.8 35.2 30.9
## not approve under any circumstances 54.9 56.0 58.9
## Total 100.0 100.0 99.9
## Count 390.0 400.0 207.0
## COUNTRY
## C14D Singapore_NON-REP South Africa
## always justified 2.2 1.9
## justified on occasion 41.3 45.4
## not approve under any circumstances 56.5 52.6
## Total 100.0 99.9
## Count 92.0 359.0
## COUNTRY
## C14D South Korea Spain Sudan Sweden
## always justified 1.7 7.7 23.6 1.5
## justified on occasion 53.0 35.0 21.1 46.8
## not approve under any circumstances 45.4 57.3 55.3 51.7
## Total 100.1 100.0 100.0 100.0
## Count 355.0 389.0 275.0 549.0
## COUNTRY
## C14D Switzerland Taiwan Tanzania Thailand
## always justified 0.6 NaN 4.4 12.5
## justified on occasion 25.1 NaN 28.9 34.0
## not approve under any circumstances 74.4 NaN 66.7 53.5
## Total 100.1 NaN 100.0 100.0
## Count 898.0 0 270.0 359.0
## COUNTRY
## C14D Turkey_NON-REP UAE Uganda UK
## always justified 5.3 10.4 NaN 0.3
## justified on occasion 31.9 16.7 NaN 34.9
## not approve under any circumstances 62.8 72.9 NaN 64.8
## Total 100.0 100.0 NaN 100.0
## Count 94.0 221.0 0 662.0
## COUNTRY
## C14D USA Zambia
## always justified 5.4 NaN
## justified on occasion 47.7 NaN
## not approve under any circumstances 47.0 NaN
## Total 100.1 NaN
## Count 411.0 0#Making use of personal documents such as letters and pictures without permission#
colPercents(xtabs(~C14E+COUNTRY, data=wjsn))## COUNTRY
## C14E Albania Argentina Australia Austria
## always justified 3.4 2.3 2.0 0.3
## justified on occasion 42.6 25.1 46.3 21.4
## not approve under any circumstances 54.0 72.6 51.7 78.3
## Total 100.0 100.0 100.0 100.0
## Count 291.0 354.0 602.0 785.0
## COUNTRY
## C14E Bangladesh Belgium Bhutan Botswana
## always justified 2.5 2.9 17.0 2.7
## justified on occasion 17.6 33.1 34.1 34.2
## not approve under any circumstances 79.9 64.0 48.9 63.0
## Total 100.0 100.0 100.0 99.9
## Count 318.0 583.0 88.0 184.0
## COUNTRY
## C14E Brazil Bulgaria Cameroon Canada
## always justified 1.3 NaN NaN 2.6
## justified on occasion 35.6 NaN NaN 54.8
## not approve under any circumstances 63.1 NaN NaN 42.5
## Total 100.0 NaN NaN 99.9
## Count 374.0 0 0 341.0
## COUNTRY
## C14E Chile China Colombia Croatia Cyprus
## always justified 4.3 1.2 2.9 3.7 2.5
## justified on occasion 32.3 26.2 7.5 23.5 43.8
## not approve under any circumstances 63.5 72.5 89.6 72.8 53.7
## Total 100.1 99.9 100.0 100.0 100.0
## Count 468.0 640.0 550.0 493.0 203.0
## COUNTRY
## C14E Czech Republic Denmark Ecuador Egypt
## always justified 1.8 0.8 5.2 7.5
## justified on occasion 42.3 53.5 19.0 30.9
## not approve under any circumstances 56.0 45.7 75.8 61.6
## Total 100.1 100.0 100.0 100.0
## Count 284.0 1357.0 363.0 398.0
## COUNTRY
## C14E El Salvador Estonia Ethiopia Fiji
## always justified 2.4 3.0 4.1 NaN
## justified on occasion 18.7 22.5 16.6 NaN
## not approve under any circumstances 78.9 74.5 79.3 NaN
## Total 100.0 100.0 100.0 NaN
## Count 246.0 271.0 343.0 0
## COUNTRY
## C14E Finland France_NON-REP Germany
## always justified 0.8 4.6 0.5
## justified on occasion 29.9 34.4 16.2
## not approve under any circumstances 69.3 61.0 83.3
## Total 100.0 100.0 100.0
## Count 355.0 218.0 753.0
## COUNTRY
## C14E Greece Hong Kong Hungary Iceland
## always justified 1.6 4.7 8.4 1.2
## justified on occasion 30.8 57.7 38.9 38.1
## not approve under any circumstances 67.6 37.6 52.7 60.7
## Total 100.0 100.0 100.0 100.0
## Count 373.0 449.0 368.0 168.0
## COUNTRY
## C14E India Indonesia Ireland Israel Italy
## always justified 5.0 0.3 1.7 16.1 2.0
## justified on occasion 26.6 23.2 53.8 26.2 39.6
## not approve under any circumstances 68.4 76.5 44.5 57.7 58.3
## Total 100.0 100.0 100.0 100.0 99.9
## Count 497.0 659.0 299.0 336.0 391.0
## COUNTRY
## C14E Japan Kenya Kosovo Latvia Malawi
## always justified 0.1 5.4 8.6 3.0 6.7
## justified on occasion 38.6 40.1 21.4 33.8 20.0
## not approve under any circumstances 61.3 54.5 70.1 63.2 73.3
## Total 100.0 100.0 100.1 100.0 100.0
## Count 739.0 332.0 187.0 334.0 165.0
## COUNTRY
## C14E Malaysia Mexico Moldova Netherlands
## always justified 4.5 2.9 4.5 2.0
## justified on occasion 26.6 19.2 35.0 44.2
## not approve under any circumstances 69.0 77.9 60.5 53.7
## Total 100.1 100.0 100.0 99.9
## Count 335.0 375.0 220.0 495.0
## COUNTRY
## C14E New Zealand Norway Philippines
## always justified 0.8 0.4 0.6
## justified on occasion 48.8 51.0 29.4
## not approve under any circumstances 50.4 48.6 70.1
## Total 100.0 100.0 100.1
## Count 510.0 553.0 344.0
## COUNTRY
## C14E Poland Portugal Oman Qatar Romania
## always justified NaN 24.8 25.7 1.7 5.3
## justified on occasion NaN 28.5 37.7 3.9 23.9
## not approve under any circumstances NaN 46.7 36.6 94.4 70.8
## Total NaN 100.0 100.0 100.0 100.0
## Count 0 403.0 257.0 355.0 339.0
## COUNTRY
## C14E Russia Serbia Sierra Leone
## always justified 7.4 1.0 7.5
## justified on occasion 38.5 15.4 30.7
## not approve under any circumstances 54.1 83.6 61.8
## Total 100.0 100.0 100.0
## Count 390.0 402.0 212.0
## COUNTRY
## C14E Singapore_NON-REP South Africa
## always justified 0.0 2.2
## justified on occasion 33.3 44.7
## not approve under any circumstances 66.7 53.1
## Total 100.0 100.0
## Count 93.0 358.0
## COUNTRY
## C14E South Korea Spain Sudan Sweden
## always justified 0.6 3.1 13.5 NaN
## justified on occasion 42.8 31.9 16.4 NaN
## not approve under any circumstances 56.7 65.0 70.1 NaN
## Total 100.1 100.0 100.0 NaN
## Count 353.0 389.0 274.0 0
## COUNTRY
## C14E Switzerland Taiwan Tanzania Thailand
## always justified 0.2 NaN 0.7 15.6
## justified on occasion 28.7 NaN 8.9 24.8
## not approve under any circumstances 71.1 NaN 90.3 59.6
## Total 100.0 NaN 99.9 100.0
## Count 903.0 0 269.0 371.0
## COUNTRY
## C14E Turkey_NON-REP UAE Uganda UK
## always justified 4.2 5.0 NaN 0.9
## justified on occasion 29.5 12.3 NaN 46.3
## not approve under any circumstances 66.3 82.6 NaN 52.8
## Total 100.0 99.9 NaN 100.0
## Count 95.0 219.0 0 669.0
## COUNTRY
## C14E USA Zambia
## always justified 2.9 NaN
## justified on occasion 38.1 NaN
## not approve under any circumstances 58.9 NaN
## Total 99.9 NaN
## Count 409.0 0#Getting employed in a firm or organization to gain inside information#
colPercents(xtabs(~C14F+COUNTRY, data=wjsn))## COUNTRY
## C14F Albania Argentina Australia Austria
## always justified 9.9 5.7 2.2 8.0
## justified on occasion 61.0 35.0 28.7 62.4
## not approve under any circumstances 29.1 59.3 69.1 29.6
## Total 100.0 100.0 100.0 100.0
## Count 292.0 349.0 602.0 764.0
## COUNTRY
## C14F Bangladesh Belgium Bhutan Botswana
## always justified 8.5 14.9 16.9 10.3
## justified on occasion 33.4 63.7 39.3 39.1
## not approve under any circumstances 58.0 21.3 43.8 50.5
## Total 99.9 99.9 100.0 99.9
## Count 293.0 582.0 89.0 184.0
## COUNTRY
## C14F Brazil Bulgaria Cameroon Canada
## always justified 3.5 NaN NaN 8.3
## justified on occasion 33.0 NaN NaN 56.8
## not approve under any circumstances 63.6 NaN NaN 34.8
## Total 100.1 NaN NaN 99.9
## Count 376.0 0 0 336.0
## COUNTRY
## C14F Chile China Colombia Croatia Cyprus
## always justified 11.1 4.4 4.4 9.5 2.9
## justified on occasion 35.0 49.8 11.1 51.5 54.4
## not approve under any circumstances 53.9 45.8 84.5 39.0 42.6
## Total 100.0 100.0 100.0 100.0 99.9
## Count 469.0 635.0 550.0 485.0 204.0
## COUNTRY
## C14F Czech Republic Denmark Ecuador Egypt
## always justified 13.7 5.2 6.6 11.8
## justified on occasion 63.5 75.8 28.3 39.7
## not approve under any circumstances 22.8 19.1 65.1 48.5
## Total 100.0 100.1 100.0 100.0
## Count 285.0 1358.0 361.0 398.0
## COUNTRY
## C14F El Salvador Estonia Ethiopia Fiji
## always justified 5.7 9.4 4.2 NaN
## justified on occasion 28.2 47.6 29.9 NaN
## not approve under any circumstances 66.1 43.1 66.0 NaN
## Total 100.0 100.1 100.1 NaN
## Count 245.0 267.0 335.0 0
## COUNTRY
## C14F Finland France_NON-REP Germany
## always justified 9.6 11.6 13.4
## justified on occasion 67.7 60.9 60.4
## not approve under any circumstances 22.8 27.4 26.2
## Total 100.1 99.9 100.0
## Count 356.0 215.0 747.0
## COUNTRY
## C14F Greece Hong Kong Hungary Iceland
## always justified 1.9 5.0 12.5 1.2
## justified on occasion 36.5 59.5 48.8 37.3
## not approve under any circumstances 61.6 35.5 38.8 61.5
## Total 100.0 100.0 100.1 100.0
## Count 359.0 440.0 361.0 161.0
## COUNTRY
## C14F India Indonesia Ireland Israel Italy
## always justified 11.1 4.4 7.0 35.0 5.3
## justified on occasion 30.2 56.4 75.8 30.5 46.4
## not approve under any circumstances 58.8 39.2 17.2 34.4 48.3
## Total 100.1 100.0 100.0 99.9 100.0
## Count 497.0 633.0 302.0 334.0 379.0
## COUNTRY
## C14F Japan Kenya Kosovo Latvia Malawi
## always justified 1.1 6.6 10.6 11.8 17.9
## justified on occasion 38.9 56.9 42.9 63.5 44.5
## not approve under any circumstances 60.1 36.5 46.6 24.8 37.6
## Total 100.1 100.0 100.1 100.1 100.0
## Count 736.0 334.0 189.0 323.0 173.0
## COUNTRY
## C14F Malaysia Mexico Moldova Netherlands
## always justified 3.6 12.5 14.8 14.2
## justified on occasion 39.3 30.3 50.9 73.7
## not approve under any circumstances 57.1 57.2 34.3 12.1
## Total 100.0 100.0 100.0 100.0
## Count 338.0 376.0 216.0 506.0
## COUNTRY
## C14F New Zealand Norway Philippines
## always justified 1.2 1.5 0.9
## justified on occasion 49.3 69.6 30.0
## not approve under any circumstances 49.5 28.9 69.1
## Total 100.0 100.0 100.0
## Count 491.0 543.0 343.0
## COUNTRY
## C14F Poland Portugal Oman Qatar Romania
## always justified NaN 21.0 18.7 1.4 11.5
## justified on occasion NaN 43.5 34.6 7.9 50.3
## not approve under any circumstances NaN 35.6 46.7 90.7 38.2
## Total NaN 100.1 100.0 100.0 100.0
## Count 0 405.0 257.0 354.0 340.0
## COUNTRY
## C14F Russia Serbia Sierra Leone
## always justified 21.0 8.6 26.2
## justified on occasion 56.2 41.3 54.3
## not approve under any circumstances 22.8 50.1 19.5
## Total 100.0 100.0 100.0
## Count 390.0 397.0 210.0
## COUNTRY
## C14F Singapore_NON-REP South Africa
## always justified 1.1 2.9
## justified on occasion 35.2 45.0
## not approve under any circumstances 63.7 52.2
## Total 100.0 100.1
## Count 91.0 347.0
## COUNTRY
## C14F South Korea Spain Sudan Sweden
## always justified 3.4 8.7 17.8 7.9
## justified on occasion 60.7 43.4 21.0 87.1
## not approve under any circumstances 35.9 47.8 61.2 5.0
## Total 100.0 99.9 100.0 100.0
## Count 354.0 389.0 276.0 556.0
## COUNTRY
## C14F Switzerland Taiwan Tanzania Thailand
## always justified 3.8 NaN 3.0 15.0
## justified on occasion 59.4 NaN 34.7 28.9
## not approve under any circumstances 36.8 NaN 62.4 56.1
## Total 100.0 NaN 100.1 100.0
## Count 900.0 0 271.0 360.0
## COUNTRY
## C14F Turkey_NON-REP UAE Uganda UK
## always justified 4.3 2.3 NaN 3.7
## justified on occasion 44.7 16.7 NaN 71.2
## not approve under any circumstances 51.1 80.9 NaN 25.1
## Total 100.1 99.9 NaN 100.0
## Count 94.0 215.0 0 670.0
## COUNTRY
## C14F USA Zambia
## always justified 3.4 NaN
## justified on occasion 34.0 NaN
## not approve under any circumstances 62.6 NaN
## Total 100.0 NaN
## Count 412.0 0#Using hidden microphones or cameras#
colPercents(xtabs(~C14G+COUNTRY, data=wjsn))## COUNTRY
## C14G Albania Argentina Australia Austria
## always justified 9.5 8.9 2.2 4.5
## justified on occasion 71.9 52.8 40.2 61.8
## not approve under any circumstances 18.6 38.3 57.6 33.6
## Total 100.0 100.0 100.0 99.9
## Count 295.0 358.0 602.0 770.0
## COUNTRY
## C14G Bangladesh Belgium Bhutan Botswana
## always justified 11.2 12.8 11.5 10.3
## justified on occasion 46.5 70.6 58.6 53.8
## not approve under any circumstances 42.3 16.6 29.9 35.9
## Total 100.0 100.0 100.0 100.0
## Count 312.0 586.0 87.0 184.0
## COUNTRY
## C14G Brazil Bulgaria Cameroon Canada
## always justified 13.6 NaN NaN 12.0
## justified on occasion 74.5 NaN NaN 73.1
## not approve under any circumstances 12.0 NaN NaN 14.9
## Total 100.1 NaN NaN 100.0
## Count 376.0 0 0 349.0
## COUNTRY
## C14G Chile China Colombia Croatia Cyprus
## always justified 11.1 8.3 15.5 6.4 2.5
## justified on occasion 53.6 73.0 18.9 52.9 46.1
## not approve under any circumstances 35.3 18.8 65.6 40.8 51.5
## Total 100.0 100.1 100.0 100.1 100.1
## Count 470.0 640.0 550.0 488.0 204.0
## COUNTRY
## C14G Czech Republic Denmark Ecuador Egypt
## always justified 17.0 2.4 7.8 13.6
## justified on occasion 72.6 92.7 39.4 34.2
## not approve under any circumstances 10.4 4.9 52.8 52.3
## Total 100.0 100.0 100.0 100.1
## Count 288.0 1358.0 360.0 398.0
## COUNTRY
## C14G El Salvador Estonia Ethiopia Fiji
## always justified 3.7 10.7 2.6 NaN
## justified on occasion 39.2 53.1 36.7 NaN
## not approve under any circumstances 57.1 36.2 60.7 NaN
## Total 100.0 100.0 100.0 NaN
## Count 245.0 271.0 341.0 0
## COUNTRY
## C14G Finland France_NON-REP Germany
## always justified 3.3 13.4 6.2
## justified on occasion 66.9 74.5 48.7
## not approve under any circumstances 29.8 12.0 45.1
## Total 100.0 99.9 100.0
## Count 362.0 216.0 747.0
## COUNTRY
## C14G Greece Hong Kong Hungary Iceland
## always justified 1.4 10.1 15.7 2.9
## justified on occasion 41.0 68.7 56.2 75.0
## not approve under any circumstances 57.6 21.2 28.1 22.1
## Total 100.0 100.0 100.0 100.0
## Count 361.0 444.0 363.0 172.0
## COUNTRY
## C14G India Indonesia Ireland Israel Italy
## always justified 23 9.8 5 56.6 10.8
## justified on occasion 52 74.1 83 28.0 65.8
## not approve under any circumstances 25 16.2 12 15.3 23.4
## Total 100 100.1 100 99.9 100.0
## Count 504 656.0 300 339.0 389.0
## COUNTRY
## C14G Japan Kenya Kosovo Latvia Malawi
## always justified 0.9 15.0 15.5 14.9 14.9
## justified on occasion 70.0 70.4 47.9 76.2 48.3
## not approve under any circumstances 29.0 14.7 36.6 8.8 36.8
## Total 99.9 100.1 100.0 99.9 100.0
## Count 741.0 334.0 194.0 328.0 174.0
## COUNTRY
## C14G Malaysia Mexico Moldova Netherlands
## always justified 10.9 13.3 18.7 4.5
## justified on occasion 46.3 46.3 67.1 79.7
## not approve under any circumstances 42.8 40.4 14.2 15.7
## Total 100.0 100.0 100.0 99.9
## Count 339.0 376.0 219.0 508.0
## COUNTRY
## C14G New Zealand Norway Philippines
## always justified 1.8 1.0 2.0
## justified on occasion 73.2 92.7 61.9
## not approve under any circumstances 25.1 6.3 36.0
## Total 100.1 100.0 99.9
## Count 514.0 590.0 344.0
## COUNTRY
## C14G Poland Portugal Oman Qatar Romania
## always justified NaN 11.9 24.5 2.0 18.3
## justified on occasion NaN 68.7 23.7 7.0 68.4
## not approve under any circumstances NaN 19.4 51.8 91.1 13.3
## Total NaN 100.0 100.0 100.1 100.0
## Count 0 403.0 257.0 358.0 339.0
## COUNTRY
## C14G Russia Serbia Sierra Leone
## always justified 16.4 5.8 21.6
## justified on occasion 70.0 42.4 58.2
## not approve under any circumstances 13.6 51.8 20.2
## Total 100.0 100.0 100.0
## Count 390.0 394.0 213.0
## COUNTRY
## C14G Singapore_NON-REP South Africa
## always justified 3.3 4.4
## justified on occasion 52.2 73.1
## not approve under any circumstances 44.6 22.5
## Total 100.1 100.0
## Count 92.0 364.0
## COUNTRY
## C14G South Korea Spain Sudan Sweden
## always justified 3.1 6.9 11.6 4.5
## justified on occasion 65.5 47.9 19.6 93.6
## not approve under any circumstances 31.4 45.1 68.7 1.9
## Total 100.0 99.9 99.9 100.0
## Count 354.0 390.0 275.0 582.0
## COUNTRY
## C14G Switzerland Taiwan Tanzania Thailand
## always justified 2.8 NaN 0.4 8.4
## justified on occasion 63.8 NaN 9.3 53.5
## not approve under any circumstances 33.4 NaN 90.3 38.0
## Total 100.0 NaN 100.0 99.9
## Count 904.0 0 268.0 368.0
## COUNTRY
## C14G Turkey_NON-REP UAE Uganda UK
## always justified 2.1 5.0 NaN 2.7
## justified on occasion 57.9 18.6 NaN 75.7
## not approve under any circumstances 40.0 76.4 NaN 21.6
## Total 100.0 100.0 NaN 100.0
## Count 95.0 220.0 0 670.0
## COUNTRY
## C14G USA Zambia
## always justified 8.7 NaN
## justified on occasion 55.1 NaN
## not approve under any circumstances 36.2 NaN
## Total 100.0 NaN
## Count 412.0 0#Using re-creations or dramatizations of news by actors#
colPercents(xtabs(~C14H+COUNTRY, data=wjsn))## COUNTRY
## C14H Albania Argentina Australia Austria
## always justified 1.0 7.6 10.0 7.9
## justified on occasion 6.5 38.5 64.4 44.6
## not approve under any circumstances 92.5 53.9 25.6 47.5
## Total 100.0 100.0 100.0 100.0
## Count 294.0 356.0 590.0 708.0
## COUNTRY
## C14H Bangladesh Belgium Bhutan Botswana
## always justified 1.0 8.7 10.3 5.4
## justified on occasion 2.6 42.5 41.4 33.7
## not approve under any circumstances 96.4 48.8 48.3 60.9
## Total 100.0 100.0 100.0 100.0
## Count 306.0 562.0 87.0 184.0
## COUNTRY
## C14H Brazil Bulgaria Cameroon Canada
## always justified 1.6 NaN NaN 5.7
## justified on occasion 24.7 NaN NaN 52.5
## not approve under any circumstances 73.7 NaN NaN 41.8
## Total 100.0 NaN NaN 100.0
## Count 376.0 0 0 318.0
## COUNTRY
## C14H Chile China Colombia Croatia Cyprus
## always justified 9.8 20.9 17.9 11.5 3.9
## justified on occasion 35.9 62.0 18.8 59.5 3.4
## not approve under any circumstances 54.3 17.0 63.3 29.0 92.6
## Total 100.0 99.9 100.0 100.0 99.9
## Count 468.0 635.0 547.0 452.0 203.0
## COUNTRY
## C14H Czech Republic Denmark Ecuador Egypt
## always justified 7.4 6.0 22.6 2.0
## justified on occasion 32.9 70.9 42.6 4.3
## not approve under any circumstances 59.7 23.0 34.8 93.7
## Total 100.0 99.9 100.0 100.0
## Count 258.0 1345.0 359.0 399.0
## COUNTRY
## C14H El Salvador Estonia Ethiopia Fiji
## always justified 9.9 26.2 4.1 NaN
## justified on occasion 34.6 51.3 26.7 NaN
## not approve under any circumstances 55.6 22.4 69.2 NaN
## Total 100.1 99.9 100.0 NaN
## Count 243.0 263.0 341.0 0
## COUNTRY
## C14H Finland France_NON-REP Germany
## always justified 17.7 2.8 18.5
## justified on occasion 61.9 23.5 47.5
## not approve under any circumstances 20.4 73.7 34.0
## Total 100.0 100.0 100.0
## Count 333.0 213.0 701.0
## COUNTRY
## C14H Greece Hong Kong Hungary Iceland
## always justified 0.9 7.5 11.0 0.6
## justified on occasion 18.3 56.8 30.5 27.7
## not approve under any circumstances 80.8 35.8 58.5 71.7
## Total 100.0 100.1 100.0 100.0
## Count 349.0 400.0 347.0 159.0
## COUNTRY
## C14H India Indonesia Ireland Israel Italy
## always justified 14.1 0.3 9.7 52.2 7.9
## justified on occasion 41.8 10.4 73.8 23.0 59.8
## not approve under any circumstances 44.2 89.3 16.4 24.8 32.2
## Total 100.1 100.0 99.9 100.0 99.9
## Count 491.0 655.0 298.0 318.0 366.0
## COUNTRY
## C14H Japan Kenya Kosovo Latvia Malawi
## always justified 16.3 10.7 8.5 5.8 7.2
## justified on occasion 71.4 44.0 2.6 38.6 31.9
## not approve under any circumstances 12.2 45.3 88.9 55.5 60.8
## Total 99.9 100.0 100.0 99.9 99.9
## Count 735.0 318.0 189.0 308.0 166.0
## COUNTRY
## C14H Malaysia Mexico Moldova Netherlands
## always justified 5.7 11.2 2.7 1.4
## justified on occasion 43.7 30.4 23.6 39.4
## not approve under any circumstances 50.6 58.4 73.6 59.2
## Total 100.0 100.0 99.9 100.0
## Count 334.0 375.0 220.0 485.0
## COUNTRY
## C14H New Zealand Norway Philippines
## always justified 3.4 3.8 5.3
## justified on occasion 65.8 47.1 55.2
## not approve under any circumstances 30.9 49.1 39.5
## Total 100.1 100.0 100.0
## Count 476.0 497.0 339.0
## COUNTRY
## C14H Poland Portugal Oman Qatar Romania
## always justified NaN 23.4 37.7 0.6 4.7
## justified on occasion NaN 41.5 27.2 2.0 25.6
## not approve under any circumstances NaN 35.1 35.0 97.5 69.7
## Total NaN 100.0 99.9 100.1 100.0
## Count 0 402.0 257.0 356.0 340.0
## COUNTRY
## C14H Russia Serbia Sierra Leone
## always justified 10.0 6.5 20.3
## justified on occasion 23.1 32.6 43.1
## not approve under any circumstances 66.9 61.0 36.6
## Total 100.0 100.1 100.0
## Count 390.0 387.0 202.0
## COUNTRY
## C14H Singapore_NON-REP South Africa
## always justified 4.3 1.2
## justified on occasion 50.5 52.0
## not approve under any circumstances 45.2 46.8
## Total 100.0 100.0
## Count 93.0 325.0
## COUNTRY
## C14H South Korea Spain Sudan Sweden
## always justified 2.0 8.8 3.6 2.4
## justified on occasion 29.1 31.9 0.4 79.3
## not approve under any circumstances 68.9 59.2 96.0 18.3
## Total 100.0 99.9 100.0 100.0
## Count 354.0 385.0 276.0 497.0
## COUNTRY
## C14H Switzerland Taiwan Tanzania Thailand
## always justified 9.9 NaN 0.0 11.9
## justified on occasion 54.1 NaN 2.2 45.9
## not approve under any circumstances 35.9 NaN 97.8 42.3
## Total 99.9 NaN 100.0 100.1
## Count 896.0 0 271.0 362.0
## COUNTRY
## C14H Turkey_NON-REP UAE Uganda UK
## always justified 0.0 2.8 NaN 6.4
## justified on occasion 6.4 9.8 NaN 67.9
## not approve under any circumstances 93.6 87.4 NaN 25.7
## Total 100.0 100.0 NaN 100.0
## Count 94.0 215.0 0 614.0
## COUNTRY
## C14H USA Zambia
## always justified 4.2 NaN
## justified on occasion 31.1 NaN
## not approve under any circumstances 64.7 NaN
## Total 100.0 NaN
## Count 405.0 0#Publishing stories with unverified content#
colPercents(xtabs(~C14J+COUNTRY, data=wjsn))## COUNTRY
## C14J Albania Argentina Australia Austria
## always justified 0.7 0.6 1.3 0.9
## justified on occasion 8.8 4.8 34.3 43.2
## not approve under any circumstances 90.5 94.7 64.3 55.9
## Total 100.0 100.1 99.9 100.0
## Count 295.0 356.0 603.0 776.0
## COUNTRY
## C14J Bangladesh Belgium Bhutan Botswana
## always justified 2.3 2.0 9.1 2.2
## justified on occasion 2.3 9.2 29.5 8.2
## not approve under any circumstances 95.4 88.8 61.4 89.7
## Total 100.0 100.0 100.0 100.1
## Count 303.0 587.0 88.0 184.0
## COUNTRY
## C14J Brazil Bulgaria Cameroon Canada
## always justified 0.3 NaN NaN 0.6
## justified on occasion 2.9 NaN NaN 15.5
## not approve under any circumstances 96.8 NaN NaN 83.9
## Total 100.0 NaN NaN 100.0
## Count 376.0 0 0 348.0
## COUNTRY
## C14J Chile China Colombia Croatia Cyprus
## always justified 9.1 2.3 2.9 3.0 4.9
## justified on occasion 3.8 15.4 3.6 9.1 2.5
## not approve under any circumstances 87.1 82.3 93.4 87.9 92.6
## Total 100.0 100.0 99.9 100.0 100.0
## Count 474.0 643.0 549.0 495.0 204.0
## COUNTRY
## C14J Czech Republic Denmark Ecuador Egypt
## always justified 0.4 1.1 7.2 1.3
## justified on occasion 21.5 39.9 6.1 8.8
## not approve under any circumstances 78.2 59.0 86.7 89.9
## Total 100.1 100.0 100.0 100.0
## Count 284.0 1357.0 362.0 398.0
## COUNTRY
## C14J El Salvador Estonia Ethiopia Fiji
## always justified 2.4 2.6 4.7 NaN
## justified on occasion 6.9 10.6 6.2 NaN
## not approve under any circumstances 90.7 86.8 89.1 NaN
## Total 100.0 100.0 100.0 NaN
## Count 248.0 273.0 341.0 0
## COUNTRY
## C14J Finland France_NON-REP Germany
## always justified 2.2 0.0 3.7
## justified on occasion 43.8 2.7 33.8
## not approve under any circumstances 54.0 97.3 62.5
## Total 100.0 100.0 100.0
## Count 363.0 223.0 752.0
## COUNTRY
## C14J Greece Hong Kong Hungary Iceland
## always justified 0.0 4.1 8.8 0.6
## justified on occasion 9.2 30.7 37.0 36.8
## not approve under any circumstances 90.8 65.2 54.1 62.6
## Total 100.0 100.0 99.9 100.0
## Count 382.0 443.0 362.0 171.0
## COUNTRY
## C14J India Indonesia Ireland Israel Italy
## always justified 4.8 0.3 2.0 11.3 0.5
## justified on occasion 12.6 6.6 15.7 11.9 7.1
## not approve under any circumstances 82.6 93.1 82.3 76.9 92.4
## Total 100.0 100.0 100.0 100.1 100.0
## Count 499.0 655.0 300.0 337.0 396.0
## COUNTRY
## C14J Japan Kenya Kosovo Latvia Malawi
## always justified NaN 1.8 6.3 0.9 6.1
## justified on occasion NaN 13.6 4.2 18.4 5.5
## not approve under any circumstances NaN 84.6 89.5 80.7 88.4
## Total NaN 100.0 100.0 100.0 100.0
## Count 0 332.0 191.0 337.0 164.0
## COUNTRY
## C14J Malaysia Mexico Moldova Netherlands
## always justified 4.2 3.7 1.4 0.4
## justified on occasion 19.0 4.2 10.0 17.0
## not approve under any circumstances 76.8 92.0 88.6 82.6
## Total 100.0 99.9 100.0 100.0
## Count 336.0 377.0 219.0 506.0
## COUNTRY
## C14J New Zealand Norway Philippines
## always justified 0.0 0.2 0.3
## justified on occasion 23.4 27.3 10.5
## not approve under any circumstances 76.6 72.5 89.2
## Total 100.0 100.0 100.0
## Count 517.0 568.0 342.0
## COUNTRY
## C14J Poland Portugal Oman Qatar Romania
## always justified NaN 28.9 43.2 1.7 3.8
## justified on occasion NaN 18.3 23.0 3.4 8.2
## not approve under any circumstances NaN 52.8 33.9 94.9 87.9
## Total NaN 100.0 100.1 100.0 99.9
## Count 0 405.0 257.0 354.0 340.0
## COUNTRY
## C14J Russia Serbia Sierra Leone
## always justified 10.0 1.0 3.4
## justified on occasion 17.7 10.9 11.5
## not approve under any circumstances 72.3 88.1 85.1
## Total 100.0 100.0 100.0
## Count 390.0 405.0 208.0
## COUNTRY
## C14J Singapore_NON-REP South Africa
## always justified 1.1 0.0
## justified on occasion 14.0 10.9
## not approve under any circumstances 84.9 89.1
## Total 100.0 100.0
## Count 93.0 359.0
## COUNTRY
## C14J South Korea Spain Sudan Sweden
## always justified 0.3 0.3 2.2 0.2
## justified on occasion 7.9 1.8 2.9 42.8
## not approve under any circumstances 91.8 97.9 94.9 57.1
## Total 100.0 100.0 100.0 100.1
## Count 355.0 390.0 275.0 573.0
## COUNTRY
## C14J Switzerland Taiwan Tanzania Thailand
## always justified 1.0 NaN 10.7 15.8
## justified on occasion 31.9 NaN 27.9 25.6
## not approve under any circumstances 67.1 NaN 61.4 58.6
## Total 100.0 NaN 100.0 100.0
## Count 904.0 0 272.0 367.0
## COUNTRY
## C14J Turkey_NON-REP UAE Uganda UK
## always justified 3.2 1.4 NaN 1.3
## justified on occasion 32.6 5.4 NaN 23.8
## not approve under any circumstances 64.2 93.2 NaN 74.8
## Total 100.0 100.0 NaN 99.9
## Count 95.0 222.0 0 667.0
## COUNTRY
## C14J USA Zambia
## always justified 2.4 NaN
## justified on occasion 8.0 NaN
## not approve under any circumstances 89.5 NaN
## Total 99.9 NaN
## Count 411.0 0#Accepting money from sources#
colPercents(xtabs(~C14K+COUNTRY, data=wjsn))## COUNTRY
## C14K Albania Argentina Australia Austria
## always justified 0.7 1.1 0.3 0.1
## justified on occasion 6.8 3.4 1.0 1.4
## not approve under any circumstances 92.5 95.5 98.7 98.5
## Total 100.0 100.0 100.0 100.0
## Count 295.0 356.0 605.0 797.0
## COUNTRY
## C14K Bangladesh Belgium Bhutan Botswana
## always justified 0.7 1.7 20.2 1.6
## justified on occasion 2.6 1.5 21.4 3.8
## not approve under any circumstances 96.7 96.8 58.3 94.6
## Total 100.0 100.0 99.9 100.0
## Count 302.0 586.0 84.0 185.0
## COUNTRY
## C14K Brazil Bulgaria Cameroon Canada
## always justified 0.3 NaN NaN 0.6
## justified on occasion 1.1 NaN NaN 0.3
## not approve under any circumstances 98.7 NaN NaN 99.1
## Total 100.1 NaN NaN 100.0
## Count 376.0 0 0 352.0
## COUNTRY
## C14K Chile China Colombia Croatia Cyprus
## always justified 8.9 1.6 2.2 3.7 5.4
## justified on occasion 1.3 17.2 1.6 1.8 0.0
## not approve under any circumstances 89.9 81.2 96.2 94.5 94.6
## Total 100.1 100.0 100.0 100.0 100.0
## Count 473.0 638.0 549.0 493.0 204.0
## COUNTRY
## C14K Czech Republic Denmark Ecuador Egypt
## always justified 0.3 0.7 5.0 2.0
## justified on occasion 1.4 2.3 6.9 4.5
## not approve under any circumstances 98.3 97.0 88.1 93.5
## Total 100.0 100.0 100.0 100.0
## Count 287.0 1353.0 361.0 398.0
## COUNTRY
## C14K El Salvador Estonia Ethiopia Fiji
## always justified 2.4 6.6 3.5 NaN
## justified on occasion 2.0 5.5 11.8 NaN
## not approve under any circumstances 95.6 87.9 84.7 NaN
## Total 100.0 100.0 100.0 NaN
## Count 249.0 272.0 340.0 0
## COUNTRY
## C14K Finland France_NON-REP Germany
## always justified 0.5 0.0 0.3
## justified on occasion 0.0 0.4 3.8
## not approve under any circumstances 99.5 99.6 95.9
## Total 100.0 100.0 100.0
## Count 365.0 226.0 759.0
## COUNTRY
## C14K Greece Hong Kong Hungary Iceland
## always justified 0.3 3.3 11.0 0.6
## justified on occasion 1.6 7.2 16.8 0.6
## not approve under any circumstances 98.2 89.5 72.2 98.9
## Total 100.1 100.0 100.0 100.1
## Count 380.0 459.0 363.0 179.0
## COUNTRY
## C14K India Indonesia Ireland Israel Italy
## always justified 3.0 0.2 2.3 10.4 0.5
## justified on occasion 9.8 15.8 0.7 3.9 1.8
## not approve under any circumstances 87.3 84.0 97.0 85.8 97.7
## Total 100.1 100.0 100.0 100.1 100.0
## Count 502.0 644.0 303.0 337.0 395.0
## COUNTRY
## C14K Japan Kenya Kosovo Latvia Malawi
## always justified 0.0 1.8 4.7 0.9 7.2
## justified on occasion 4.6 18.5 4.2 3.6 18.7
## not approve under any circumstances 95.4 79.7 91.1 95.5 74.1
## Total 100.0 100.0 100.0 100.0 100.0
## Count 742.0 330.0 191.0 337.0 166.0
## COUNTRY
## C14K Malaysia Mexico Moldova Netherlands
## always justified 4.9 2.4 0.9 0.4
## justified on occasion 20.2 3.5 5.0 4.3
## not approve under any circumstances 74.8 94.1 94.1 95.3
## Total 99.9 100.0 100.0 100.0
## Count 326.0 376.0 220.0 511.0
## COUNTRY
## C14K New Zealand Norway Philippines
## always justified 0.0 0.0 0.0
## justified on occasion 1.9 0.3 4.7
## not approve under any circumstances 98.1 99.7 95.3
## Total 100.0 100.0 100.0
## Count 514.0 598.0 342.0
## COUNTRY
## C14K Poland Portugal Oman Qatar Romania
## always justified NaN 34.2 27.6 0.9 4.7
## justified on occasion NaN 0.7 6.2 2.0 5.6
## not approve under any circumstances NaN 65.1 66.1 97.2 89.6
## Total NaN 100.0 99.9 100.1 99.9
## Count 0 404.0 257.0 351.0 337.0
## COUNTRY
## C14K Russia Serbia Sierra Leone
## always justified 10.3 1.2 3.5
## justified on occasion 16.4 4.0 12.6
## not approve under any circumstances 73.3 94.8 83.9
## Total 100.0 100.0 100.0
## Count 390.0 402.0 199.0
## COUNTRY
## C14K Singapore_NON-REP South Africa
## always justified 0.0 0.8
## justified on occasion 1.1 0.3
## not approve under any circumstances 98.9 98.9
## Total 100.0 100.0
## Count 94.0 355.0
## COUNTRY
## C14K South Korea Spain Sudan Sweden
## always justified 0.3 0.3 1.5 0.2
## justified on occasion 3.4 2.1 2.2 0.7
## not approve under any circumstances 96.3 97.7 96.4 99.1
## Total 100.0 100.1 100.1 100.0
## Count 355.0 390.0 275.0 583.0
## COUNTRY
## C14K Switzerland Taiwan Tanzania Thailand
## always justified 0.0 NaN 44.5 15.2
## justified on occasion 1.1 NaN 34.6 19.6
## not approve under any circumstances 98.9 NaN 21.0 65.2
## Total 100.0 NaN 100.1 100.0
## Count 904.0 0 272.0 362.0
## COUNTRY
## C14K Turkey_NON-REP UAE Uganda UK
## always justified 0.0 2.7 NaN 0.3
## justified on occasion 3.2 2.3 NaN 3.7
## not approve under any circumstances 96.8 95.0 NaN 96.0
## Total 100.0 100.0 NaN 100.0
## Count 95.0 220.0 0 678.0
## COUNTRY
## C14K USA Zambia
## always justified 2.4 NaN
## justified on occasion 1.0 NaN
## not approve under any circumstances 96.6 NaN
## Total 100.0 NaN
## Count 412.0 0#Here is a list of potential sources of influence. Please tell me how much influence each of the following has on your work#
#Your personal values and beliefs#
colPercents(xtabs(~C15A+COUNTRY, data=wjsn))## COUNTRY
## C15A Albania Argentina Australia Austria Bangladesh
## not influential 11.4 1.4 6.1 2.3 12.4
## little influential 11.1 5.4 12.7 11.3 15.2
## somewhat influential 27.3 22.3 36.8 30.6 16.4
## very influential 28.0 35.8 28.6 34.9 17.0
## extremely influential 22.1 35.2 15.7 20.9 39.0
## Total 99.9 100.1 99.9 100.0 100.0
## Count 289.0 355.0 604.0 790.0 323.0
## COUNTRY
## C15A Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 7.4 2.3 10.7 4.3 NaN NaN
## little influential 16.3 4.5 11.9 17.1 NaN NaN
## somewhat influential 36.3 20.5 31.0 43.1 NaN NaN
## very influential 30.1 33.0 22.6 20.2 NaN NaN
## extremely influential 9.9 39.8 23.8 15.3 NaN NaN
## Total 100.0 100.1 100.0 100.0 NaN NaN
## Count 584.0 88.0 168.0 346.0 0 0
## COUNTRY
## C15A Canada Chile China Colombia Croatia Cyprus
## not influential 5.2 9.7 2.4 15.7 10.9 3.9
## little influential 18.9 8.6 6.3 7.9 5.5 5.4
## somewhat influential 40.1 25.8 33.3 20.7 13.8 31.4
## very influential 20.3 25.8 36.8 26.9 24.7 16.7
## extremely influential 15.4 30.0 21.2 28.9 45.1 42.6
## Total 99.9 99.9 100.0 100.1 100.0 100.0
## Count 344.0 453.0 636.0 547.0 550.0 204.0
## COUNTRY
## C15A Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 1.7 4.7 5.9 2.5 10.6
## little influential 7.7 14.6 7.3 7.2 11.5
## somewhat influential 16.8 30.9 15.5 18.8 15.7
## very influential 33.9 29.2 31.6 28.5 31.5
## extremely influential 39.9 20.7 39.5 42.9 30.6
## Total 100.0 100.1 99.8 99.9 99.9
## Count 286.0 1330.0 354.0 361.0 235.0
## COUNTRY
## C15A Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 2.2 10.6 NaN 2.8 10.8
## little influential 4.4 11.2 NaN 12.7 21.2
## somewhat influential 20.8 32.1 NaN 42.1 34.7
## very influential 40.9 19.7 NaN 28.9 23.9
## extremely influential 31.8 26.5 NaN 13.5 9.5
## Total 100.1 100.1 NaN 100.0 100.1
## Count 274.0 340.0 0 363.0 222.0
## COUNTRY
## C15A Germany Greece Hong Kong Hungary Iceland India
## not influential 2.3 3.4 7.5 2.4 1.1 17.9
## little influential 6.8 6.2 11.9 4.2 14.9 10.3
## somewhat influential 30.6 14.5 39.7 16.0 30.4 22.6
## very influential 37.2 28.5 30.5 36.5 35.4 22.0
## extremely influential 23.1 47.4 10.4 40.9 18.2 27.3
## Total 100.0 100.0 100.0 100.0 100.0 100.1
## Count 752.0 386.0 453.0 381.0 181.0 487.0
## COUNTRY
## C15A Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 5.7 4.2 3.0 2.8 1.1 6.5 22.5
## little influential 5.2 11.1 2.7 14.5 7.1 9.2 10.4
## somewhat influential 32.1 38.2 19.0 31.5 36.6 23.5 23.1
## very influential 38.8 28.1 31.2 22.6 38.8 28.0 20.8
## extremely influential 18.2 18.4 44.0 28.7 16.4 32.7 23.1
## Total 100.0 100.0 99.9 100.1 100.0 99.9 99.9
## Count 616.0 288.0 336.0 394.0 743.0 336.0 173.0
## COUNTRY
## C15A Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 1.2 5.9 5.8 14.2 3.2 2.9
## little influential 4.7 3.6 7.5 9.1 12.8 11.6
## somewhat influential 22.4 19.5 30.9 23.9 29.4 42.8
## very influential 34.7 31.4 33.7 22.4 28.0 29.7
## extremely influential 37.1 39.6 22.0 30.3 26.6 13.0
## Total 100.1 100.0 99.9 99.9 100.0 100.0
## Count 340.0 169.0 359.0 330.0 218.0 509.0
## COUNTRY
## C15A New Zealand Norway Philippines Poland Portugal
## not influential 3.3 2.1 3.5 NaN 3.7
## little influential 10.2 5.7 7.4 NaN 9.3
## somewhat influential 34.4 48.3 27.4 NaN 24.9
## very influential 33.7 34.6 35.0 NaN 24.9
## extremely influential 18.3 9.3 26.8 NaN 37.1
## Total 99.9 100.0 100.1 NaN 99.9
## Count 508.0 561.0 340.0 0 377.0
## COUNTRY
## C15A Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 16.2 28.0 2.4 0.8 5.1 11.6
## little influential 16.6 34.0 4.4 11.2 5.1 13.7
## somewhat influential 12.6 17.0 22.1 21.0 20.5 19.5
## very influential 28.9 12.5 37.6 31.2 23.8 25.8
## extremely influential 25.7 8.5 33.5 35.8 45.5 29.5
## Total 100.0 100.0 100.0 100.0 100.0 100.1
## Count 253.0 329.0 340.0 385.0 391.0 190.0
## COUNTRY
## C15A Singapore_NON-REP South Africa South Korea Spain
## not influential 13.2 8.9 0.6 4.9
## little influential 18.7 11.9 1.1 8.7
## somewhat influential 36.3 25.5 23.7 27.2
## very influential 17.6 26.6 49.7 35.6
## extremely influential 14.3 27.1 24.9 23.6
## Total 100.1 100.0 100.0 100.0
## Count 91.0 361.0 354.0 390.0
## COUNTRY
## C15A Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 2.0 1.8 1.3 NaN 0.7 0.5
## little influential 1.6 16.3 13.3 NaN 1.1 2.4
## somewhat influential 5.5 34.2 35.2 NaN 15.8 38.5
## very influential 16.5 38.8 33.9 NaN 47.4 37.2
## extremely influential 74.4 8.8 16.3 NaN 34.9 21.3
## Total 100.0 99.9 100.0 NaN 99.9 99.9
## Count 254.0 649.0 897.0 0 272.0 371.0
## COUNTRY
## C15A Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 23.4 30.7 NaN 3.7 9.4 NaN
## little influential 26.6 20.9 NaN 8.2 13.0 NaN
## somewhat influential 26.6 29.8 NaN 36.7 29.7 NaN
## very influential 20.2 8.8 NaN 26.7 24.9 NaN
## extremely influential 3.2 9.8 NaN 24.7 22.9 NaN
## Total 100.0 100.0 NaN 100.0 99.9 NaN
## Count 94.0 215.0 0 671.0 414.0 0#Your peers on the staff#
colPercents(xtabs(~C15B+COUNTRY, data=wjsn))## COUNTRY
## C15B Albania Argentina Australia Austria Bangladesh
## not influential 17.3 9.2 8.3 5.8 21.7
## little influential 27.6 15.7 18.7 40.7 26.7
## somewhat influential 41.5 43.4 43.9 38.1 29.8
## very influential 11.2 27.5 24.7 14.2 15.2
## extremely influential 2.4 4.2 4.3 1.1 6.5
## Total 100.0 100.0 99.9 99.9 99.9
## Count 294.0 357.0 603.0 787.0 322.0
## COUNTRY
## C15B Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 9.3 6.7 17.5 5.8 NaN NaN
## little influential 20.2 3.3 19.3 19.0 NaN NaN
## somewhat influential 40.3 30.0 39.2 53.0 NaN NaN
## very influential 27.6 34.4 15.7 16.8 NaN NaN
## extremely influential 2.6 25.6 8.4 5.5 NaN NaN
## Total 100.0 100.0 100.1 100.1 NaN NaN
## Count 583.0 90.0 166.0 364.0 0 0
## COUNTRY
## C15B Canada Chile China Colombia Croatia Cyprus
## not influential 11.4 14.3 5.6 18.6 24.0 26.5
## little influential 22.3 17.8 18.2 14.6 20.7 22.5
## somewhat influential 40.7 34.8 57.4 31.6 29.5 32.4
## very influential 22.6 22.7 14.9 21.7 18.7 11.8
## extremely influential 3.0 10.4 3.9 13.5 7.0 6.9
## Total 100.0 100.0 100.0 100.0 99.9 100.1
## Count 332.0 454.0 639.0 548.0 545.0 204.0
## COUNTRY
## C15B Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 3.5 6.2 13.3 10.6 13.2
## little influential 14.6 16.9 21.3 20.7 21.0
## somewhat influential 37.6 35.3 29.1 40.5 33.3
## very influential 30.3 29.9 26.6 19.8 23.0
## extremely influential 13.9 11.8 9.7 8.4 9.5
## Total 99.9 100.1 100.0 100.0 100.0
## Count 287.0 1279.0 361.0 358.0 243.0
## COUNTRY
## C15B Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 2.6 11.9 NaN 6.0 5.8
## little influential 20.1 20.3 NaN 23.1 29.5
## somewhat influential 40.7 36.5 NaN 49.1 43.3
## very influential 28.6 21.7 NaN 18.3 19.2
## extremely influential 8.1 9.6 NaN 3.4 2.2
## Total 100.1 100.0 NaN 99.9 100.0
## Count 273.0 345.0 0 350.0 224.0
## COUNTRY
## C15B Germany Greece Hong Kong Hungary Iceland India
## not influential 6.2 21.3 10.0 5.2 3.9 18.6
## little influential 19.1 28.6 21.4 10.7 17.4 17.1
## somewhat influential 45.0 23.4 49.6 40.7 37.6 29.0
## very influential 25.0 18.9 16.7 35.5 32.6 23.6
## extremely influential 4.7 7.9 2.4 7.8 8.4 11.7
## Total 100.0 100.1 100.1 99.9 99.9 100.0
## Count 747.0 381.0 462.0 383.0 178.0 479.0
## COUNTRY
## C15B Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 11.7 8.3 14.2 18.8 3.2 7.8 24.5
## little influential 16.6 17.0 15.1 41.6 18.5 19.0 21.4
## somewhat influential 44.7 47.2 33.8 27.5 51.8 39.5 30.2
## very influential 21.2 24.7 28.4 9.5 23.0 25.3 15.1
## extremely influential 5.9 2.8 8.5 2.6 3.5 8.4 8.9
## Total 100.1 100.0 100.0 100.0 100.0 100.0 100.1
## Count 609.0 288.0 317.0 389.0 745.0 332.0 192.0
## COUNTRY
## C15B Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 8.4 8.8 5.7 22.3 12.7 6.9
## little influential 18.3 15.9 13.1 18.3 26.7 15.4
## somewhat influential 36.3 24.7 46.3 30.1 34.4 52.9
## very influential 32.1 38.8 29.0 23.9 21.3 23.1
## extremely influential 4.8 11.8 6.0 5.4 5.0 1.7
## Total 99.9 100.0 100.1 100.0 100.1 100.0
## Count 333.0 170.0 352.0 355.0 221.0 467.0
## COUNTRY
## C15B New Zealand Norway Philippines Poland Portugal
## not influential 10.2 2.0 8.3 NaN 6.8
## little influential 18.5 9.4 23.0 NaN 19.2
## somewhat influential 41.8 59.9 48.4 NaN 43.5
## very influential 24.9 27.4 18.6 NaN 27.3
## extremely influential 4.6 1.3 1.8 NaN 3.2
## Total 100.0 100.0 100.1 NaN 100.0
## Count 498.0 544.0 339.0 0 370.0
## COUNTRY
## C15B Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 5.7 26.5 9.7 12.0 7.5 12.9
## little influential 20.4 30.1 20.9 25.8 15.8 16.0
## somewhat influential 28.7 19.9 38.8 29.7 44.7 26.3
## very influential 28.3 13.4 24.1 22.7 22.0 34.0
## extremely influential 17.0 10.1 6.5 9.9 10.1 10.8
## Total 100.1 100.0 100.0 100.1 100.1 100.0
## Count 230.0 336.0 340.0 384.0 387.0 194.0
## COUNTRY
## C15B Singapore_NON-REP South Africa South Korea Spain
## not influential 9.8 8.6 0.6 7.0
## little influential 17.4 16.4 9.6 18.6
## somewhat influential 47.8 43.9 46.9 41.8
## very influential 18.5 23.3 38.1 27.3
## extremely influential 6.5 7.8 4.8 5.4
## Total 100.0 100.0 100.0 100.1
## Count 92.0 360.0 354.0 388.0
## COUNTRY
## C15B Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 6.5 4.3 4.5 NaN 8.5 1.3
## little influential 12.5 27.7 31.0 NaN 49.3 3.2
## somewhat influential 31.5 46.6 44.6 NaN 41.5 37.5
## very influential 32.3 20.5 18.0 NaN 0.7 39.1
## extremely influential 17.3 1.0 1.8 NaN 0.0 18.8
## Total 100.1 100.1 99.9 NaN 100.0 99.9
## Count 248.0 611.0 883.0 0 272.0 373.0
## COUNTRY
## C15B Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 25.5 15.0 NaN 5.8 7.1 NaN
## little influential 23.4 13.3 NaN 16.1 11.9 NaN
## somewhat influential 35.1 29.2 NaN 44.0 38.7 NaN
## very influential 13.8 25.7 NaN 27.3 33.6 NaN
## extremely influential 2.1 16.8 NaN 6.7 8.8 NaN
## Total 99.9 100.0 NaN 99.9 100.1 NaN
## Count 94.0 226.0 0 670.0 411.0 0#Your editorial supervisors and higher editors#
colPercents(xtabs(~C15C+COUNTRY, data=wjsn))## COUNTRY
## C15C Albania Argentina Australia Austria Bangladesh
## not influential 6.5 3.8 2.6 4.3 8.0
## little influential 14.3 9.3 6.8 31.2 14.8
## somewhat influential 36.4 32.4 21.9 38.1 23.5
## very influential 36.1 42.0 52.6 21.5 33.8
## extremely influential 6.8 12.5 16.1 4.9 19.9
## Total 100.1 100.0 100.0 100.0 100.0
## Count 294.0 343.0 572.0 791.0 311.0
## COUNTRY
## C15C Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 7.6 4.4 5.6 1.9 NaN NaN
## little influential 15.1 3.3 3.9 9.2 NaN NaN
## somewhat influential 31.3 23.3 19.6 41.4 NaN NaN
## very influential 38.0 33.3 35.2 35.7 NaN NaN
## extremely influential 7.9 35.6 35.8 11.9 NaN NaN
## Total 99.9 99.9 100.1 100.1 NaN NaN
## Count 568.0 90.0 179.0 370.0 0 0
## COUNTRY
## C15C Canada Chile China Colombia Croatia Cyprus
## not influential 4.3 3.3 1.2 7.4 12.3 2.5
## little influential 14.2 6.2 4.3 7.0 15.0 3.0
## somewhat influential 33.3 26.8 36.0 18.6 31.7 27.9
## very influential 38.0 35.4 43.2 34.5 28.0 33.3
## extremely influential 10.1 28.4 15.2 32.5 13.0 33.3
## Total 99.9 100.1 99.9 100.0 100.0 100.0
## Count 345.0 455.0 650.0 542.0 546.0 201.0
## COUNTRY
## C15C Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 3.9 3.5 3.7 1.8 1.6
## little influential 12.4 13.9 8.7 17.4 5.6
## somewhat influential 23.4 31.1 29.5 29.1 16.5
## very influential 40.1 35.2 37.1 33.8 37.8
## extremely influential 20.2 16.3 21.1 17.9 38.6
## Total 100.0 100.0 100.1 100.0 100.1
## Count 282.0 1285.0 356.0 385.0 249.0
## COUNTRY
## C15C Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 4.8 4.0 NaN 0.8 5.9
## little influential 14.5 8.6 NaN 10.8 28.5
## somewhat influential 40.2 23.9 NaN 41.0 41.6
## very influential 30.5 26.5 NaN 38.8 18.6
## extremely influential 10.0 36.9 NaN 8.6 5.4
## Total 100.0 99.9 NaN 100.0 100.0
## Count 249.0 347.0 0 361.0 221.0
## COUNTRY
## C15C Germany Greece Hong Kong Hungary Iceland India
## not influential 3.9 9.1 3.6 4.1 6.2 7.6
## little influential 15.6 22.4 9.4 10.3 18.8 9.4
## somewhat influential 39.7 27.7 34.6 24.9 27.8 21.8
## very influential 31.2 24.3 37.6 35.5 38.1 32.5
## extremely influential 9.5 16.5 14.7 25.2 9.1 28.7
## Total 99.9 100.0 99.9 100.0 100.0 100.0
## Count 736.0 375.0 468.0 369.0 176.0 501.0
## COUNTRY
## C15C Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 5.6 3.1 9.8 13.8 1.5 1.2 12.3
## little influential 9.1 8.4 11.1 26.6 12.6 5.4 20.3
## somewhat influential 39.3 33.4 24.8 32.8 38.5 20.0 29.9
## very influential 36.9 39.7 35.3 19.5 35.8 44.8 20.9
## extremely influential 9.1 15.3 19.0 7.3 11.5 28.7 16.6
## Total 100.0 99.9 100.0 100.0 99.9 100.1 100.0
## Count 624.0 287.0 306.0 384.0 745.0 335.0 187.0
## COUNTRY
## C15C Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 4.4 4.1 2.2 4.6 5.9 5.4
## little influential 16.0 1.8 5.6 10.6 13.6 14.1
## somewhat influential 36.8 15.4 31.9 20.1 32.7 42.8
## very influential 34.9 40.2 46.7 36.7 35.0 31.2
## extremely influential 7.9 38.5 13.6 28.0 12.7 6.5
## Total 100.0 100.0 100.0 100.0 99.9 100.0
## Count 318.0 169.0 360.0 368.0 220.0 446.0
## COUNTRY
## C15C New Zealand Norway Philippines Poland Portugal
## not influential 5.3 1.9 1.8 NaN 2.8
## little influential 10.3 9.6 7.1 NaN 12.2
## somewhat influential 33.9 51.1 32.1 NaN 37.5
## very influential 37.4 33.5 43.8 NaN 36.5
## extremely influential 13.1 3.9 15.3 NaN 11.0
## Total 100.0 100.0 100.1 NaN 100.0
## Count 495.0 534.0 340.0 0 392.0
## COUNTRY
## C15C Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 5.9 20.9 10.6 3.2 4.0 3.7
## little influential 17.3 24.4 13.5 12.6 10.1 7.4
## somewhat influential 24.7 26.0 34.7 28.1 40.7 14.9
## very influential 31.8 19.6 29.1 34.0 29.8 31.2
## extremely influential 20.4 9.0 12.1 22.2 15.4 42.8
## Total 100.1 99.9 100.0 100.1 100.0 100.0
## Count 255.0 311.0 340.0 374.0 396.0 215.0
## COUNTRY
## C15C Singapore_NON-REP South Africa South Korea Spain
## not influential 10.8 1.4 0.0 2.1
## little influential 26.9 4.4 1.1 7.6
## somewhat influential 21.5 30.1 25.2 25.7
## very influential 28.0 36.4 52.1 42.0
## extremely influential 12.9 27.7 21.5 22.6
## Total 100.1 100.0 99.9 100.0
## Count 93.0 365.0 353.0 381.0
## COUNTRY
## C15C Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 3.0 1.5 4.0 NaN 0.7 1.3
## little influential 9.1 10.0 28.7 NaN 4.8 1.1
## somewhat influential 22.3 34.6 40.7 NaN 27.2 27.8
## very influential 41.9 45.9 23.3 NaN 54.4 45.0
## extremely influential 23.8 7.9 3.2 NaN 12.9 24.8
## Total 100.1 99.9 99.9 NaN 100.0 100.0
## Count 265.0 592.0 874.0 0 272.0 371.0
## COUNTRY
## C15C Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 20.4 19.6 NaN 3.7 4.7 NaN
## little influential 28.0 15.6 NaN 9.0 7.7 NaN
## somewhat influential 24.7 26.3 NaN 40.5 21.5 NaN
## very influential 22.6 22.8 NaN 33.4 43.0 NaN
## extremely influential 4.3 15.6 NaN 13.4 23.1 NaN
## Total 100.0 99.9 NaN 100.0 100.0 NaN
## Count 93.0 224.0 0 656.0 363.0 0#The managers of your news organization#
colPercents(xtabs(~C15D+COUNTRY, data=wjsn))## COUNTRY
## C15D Albania Argentina Australia Austria Bangladesh
## not influential 13.5 8.2 23.1 23.6 13.0
## little influential 17.6 13.7 24.5 48.8 15.3
## somewhat influential 33.2 26.5 25.7 15.9 28.3
## very influential 26.0 37.2 19.2 9.5 25.0
## extremely influential 9.7 14.3 7.6 2.2 18.3
## Total 100.0 99.9 100.1 100.0 99.9
## Count 289.0 328.0 568.0 775.0 300.0
## COUNTRY
## C15D Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 28.7 9.1 9.6 3.0 NaN NaN
## little influential 30.5 6.8 7.3 17.1 NaN NaN
## somewhat influential 23.3 23.9 17.4 39.9 NaN NaN
## very influential 13.8 36.4 29.8 21.5 NaN NaN
## extremely influential 3.6 23.9 36.0 18.5 NaN NaN
## Total 99.9 100.1 100.1 100.0 NaN NaN
## Count 557.0 88.0 178.0 363.0 0 0
## COUNTRY
## C15D Canada Chile China Colombia Croatia Cyprus
## not influential 19.1 10.0 1.5 11.6 25.1 3.9
## little influential 27.8 13.3 5.7 9.8 17.7 1.5
## somewhat influential 28.4 30.8 32.6 18.3 24.4 23.2
## very influential 17.6 21.5 41.3 26.4 19.6 32.0
## extremely influential 7.1 24.4 18.9 33.8 13.1 39.4
## Total 100.0 100.0 100.0 99.9 99.9 100.0
## Count 324.0 451.0 647.0 541.0 541.0 203.0
## COUNTRY
## C15D Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 13.2 15.7 4.8 2.9 4.0
## little influential 20.4 29.7 11.0 16.4 6.9
## somewhat influential 27.1 28.3 28.2 31.9 20.2
## very influential 27.5 17.3 35.6 30.8 28.3
## extremely influential 11.8 9.0 20.3 18.0 40.5
## Total 100.0 100.0 99.9 100.0 99.9
## Count 280.0 1279.0 354.0 383.0 247.0
## COUNTRY
## C15D Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 17.6 7.5 NaN 33.3 23.4
## little influential 24.7 7.5 NaN 37.5 39.3
## somewhat influential 32.2 24.3 NaN 21.5 23.4
## very influential 18.8 22.5 NaN 6.2 11.2
## extremely influential 6.7 38.2 NaN 1.5 2.8
## Total 100.0 100.0 NaN 100.0 100.1
## Count 255.0 346.0 0 339.0 214.0
## COUNTRY
## C15D Germany Greece Hong Kong Hungary Iceland India
## not influential 23.3 7.8 5.2 9.6 51.1 12.4
## little influential 31.0 22.8 14.1 11.3 31.8 14.7
## somewhat influential 25.1 21.7 33.5 27.5 9.7 27.6
## very influential 14.6 25.5 32.5 33.0 6.2 23.0
## extremely influential 6.0 22.3 14.7 18.7 1.1 22.2
## Total 100.0 100.1 100.0 100.1 99.9 99.9
## Count 733.0 373.0 462.0 364.0 176.0 482.0
## COUNTRY
## C15D Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 9.0 29.4 26.0 31.9 2.3 5.4 15.8
## little influential 11.0 34.6 14.2 32.5 11.9 6.6 22.6
## somewhat influential 37.2 25.4 20.9 20.8 36.0 21.2 30.0
## very influential 33.5 5.9 26.0 8.2 35.4 37.9 18.4
## extremely influential 9.3 4.8 13.0 6.6 14.4 29.0 13.2
## Total 100.0 100.1 100.1 100.0 100.0 100.1 100.0
## Count 621.0 272.0 254.0 379.0 745.0 335.0 190.0
## COUNTRY
## C15D Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 21.5 4.7 3.9 8.5 16.7 21.3
## little influential 29.3 5.3 6.4 9.0 19.5 29.2
## somewhat influential 27.1 18.8 34.4 19.9 34.0 34.3
## very influential 18.4 34.7 42.5 29.0 19.1 13.0
## extremely influential 3.7 36.5 12.8 33.6 10.7 2.2
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 321.0 170.0 358.0 366.0 215.0 414.0
## COUNTRY
## C15D New Zealand Norway Philippines Poland Portugal
## not influential 16.8 41.5 3.8 NaN 16.4
## little influential 21.9 39.6 8.5 NaN 26.6
## somewhat influential 32.5 15.9 35.3 NaN 32.8
## very influential 21.5 2.8 39.1 NaN 19.2
## extremely influential 7.4 0.2 13.2 NaN 5.0
## Total 100.1 100.0 99.9 NaN 100.0
## Count 489.0 508.0 340.0 0 323.0
## COUNTRY
## C15D Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 5.5 25.8 19.2 2.7 8.0 4.8
## little influential 20.3 23.1 22.4 10.5 16.8 5.8
## somewhat influential 30.1 22.7 28.0 25.7 37.8 20.8
## very influential 30.5 19.3 20.9 37.5 21.2 37.2
## extremely influential 13.7 9.1 9.4 23.6 16.1 31.4
## Total 100.1 100.0 99.9 100.0 99.9 100.0
## Count 256.0 264.0 339.0 373.0 386.0 207.0
## COUNTRY
## C15D Singapore_NON-REP South Africa South Korea Spain
## not influential 16.5 6.5 2.8 14.8
## little influential 20.0 12.1 15.3 15.3
## somewhat influential 28.2 33.7 34.6 26.4
## very influential 29.4 30.6 31.7 23.2
## extremely influential 5.9 17.1 15.6 20.3
## Total 100.0 100.0 100.0 100.0
## Count 85.0 356.0 353.0 379.0
## COUNTRY
## C15D Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 4.6 12.6 23.1 NaN 0.0 1.3
## little influential 14.6 37.1 45.7 NaN 0.0 1.1
## somewhat influential 25.8 25.2 19.8 NaN 17.6 25.3
## very influential 37.3 19.5 9.2 NaN 45.6 48.4
## extremely influential 17.7 5.5 2.2 NaN 36.8 23.9
## Total 100.0 99.9 100.0 NaN 100.0 100.0
## Count 260.0 595.0 827.0 0 272.0 372.0
## COUNTRY
## C15D Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 15.1 20.3 NaN 12.0 10.0 NaN
## little influential 23.7 18.5 NaN 20.9 11.5 NaN
## somewhat influential 25.8 21.6 NaN 38.0 22.0 NaN
## very influential 25.8 19.4 NaN 19.9 37.9 NaN
## extremely influential 9.7 20.3 NaN 9.2 18.7 NaN
## Total 100.1 100.1 NaN 100.0 100.1 NaN
## Count 93.0 222.0 0 642.0 391.0 0#The owners of your news organization#
colPercents(xtabs(~C15E+COUNTRY, data=wjsn))## COUNTRY
## C15E Albania Argentina Australia Austria Bangladesh
## not influential 20.7 10.8 44.0 31.0 17.9
## little influential 13.2 13.7 25.9 46.1 14.0
## somewhat influential 27.5 25.1 17.1 13.1 25.1
## very influential 25.4 31.4 8.3 7.5 20.1
## extremely influential 13.2 19.0 4.7 2.3 22.9
## Total 100.0 100.0 100.0 100.0 100.0
## Count 280.0 315.0 532.0 748.0 279.0
## COUNTRY
## C15E Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 50.4 12.8 18.2 5.9 NaN NaN
## little influential 22.5 10.5 8.5 21.2 NaN NaN
## somewhat influential 15.8 25.6 18.2 30.9 NaN NaN
## very influential 8.1 31.4 18.2 17.0 NaN NaN
## extremely influential 3.3 19.8 36.9 24.9 NaN NaN
## Total 100.1 100.1 100.0 99.9 NaN NaN
## Count 546.0 86.0 176.0 353.0 0 0
## COUNTRY
## C15E Canada Chile China Colombia Croatia Cyprus
## not influential 51.3 14.4 4.3 11.6 27.0 8.4
## little influential 29.1 18.2 20.9 9.8 17.1 1.5
## somewhat influential 12.6 26.5 39.3 18.3 20.1 19.8
## very influential 4.6 18.4 23.2 26.4 19.1 29.7
## extremely influential 2.3 22.5 12.3 33.8 16.7 40.6
## Total 99.9 100.0 100.0 99.9 100.0 100.0
## Count 302.0 445.0 633.0 541.0 538.0 202.0
## COUNTRY
## C15E Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 26.1 46.6 6.8 10.8 6.9
## little influential 20.6 23.5 12.5 13.5 6.5
## somewhat influential 28.8 15.6 26.9 26.5 15.0
## very influential 15.2 8.8 26.3 24.3 24.0
## extremely influential 9.3 5.5 27.5 24.9 47.6
## Total 100.0 100.0 100.0 100.0 100.0
## Count 257.0 1211.0 353.0 362.0 246.0
## COUNTRY
## C15E Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 42.8 9.9 NaN 46.7 37.7
## little influential 18.9 10.1 NaN 32.2 37.2
## somewhat influential 22.2 18.2 NaN 13.6 14.5
## very influential 10.7 22.7 NaN 5.9 7.7
## extremely influential 5.3 39.1 NaN 1.5 2.9
## Total 99.9 100.0 NaN 99.9 100.0
## Count 243.0 335.0 0 338.0 207.0
## COUNTRY
## C15E Germany Greece Hong Kong Hungary Iceland India
## not influential 40.4 13.4 10.4 13.6 64.9 13.9
## little influential 25.9 23.9 25.6 13.3 24.1 9.5
## somewhat influential 18.4 20.4 28.7 30.1 4.6 20.5
## very influential 9.5 21.2 24.7 25.7 4.6 25.1
## extremely influential 5.7 21.0 10.7 17.3 1.7 30.9
## Total 99.9 99.9 100.1 100.0 99.9 99.9
## Count 663.0 372.0 450.0 369.0 174.0 482.0
## COUNTRY
## C15E Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 10.8 30.2 43.6 30.1 11.7 9.1 18.4
## little influential 10.5 33.6 13.8 30.6 30.8 10.3 22.2
## somewhat influential 34.3 22.6 12.8 21.9 29.1 18.1 30.3
## very influential 32.5 7.2 17.9 10.0 15.7 31.7 15.1
## extremely influential 11.9 6.4 11.8 7.4 12.7 30.8 14.1
## Total 100.0 100.0 99.9 100.0 100.0 100.0 100.1
## Count 612.0 265.0 195.0 379.0 741.0 331.0 185.0
## COUNTRY
## C15E Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 41.1 7.9 4.8 9.8 21.4 34.0
## little influential 26.4 6.7 6.2 8.2 22.8 29.0
## somewhat influential 15.1 13.4 34.4 18.3 25.1 26.2
## very influential 14.4 31.7 35.2 27.5 19.5 8.3
## extremely influential 3.0 40.2 19.4 36.2 11.2 2.6
## Total 100.0 99.9 100.0 100.0 100.0 100.1
## Count 299.0 164.0 355.0 367.0 215.0 424.0
## COUNTRY
## C15E New Zealand Norway Philippines Poland Portugal
## not influential 40.0 57.5 6.8 NaN 24.2
## little influential 21.2 28.8 16.9 NaN 29.3
## somewhat influential 21.9 10.0 36.4 NaN 27.9
## very influential 11.0 3.5 23.1 NaN 14.1
## extremely influential 5.8 0.2 16.9 NaN 4.4
## Total 99.9 100.0 100.1 NaN 99.9
## Count 462.0 489.0 338.0 0 297.0
## COUNTRY
## C15E Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 2.8 30.0 26.3 8.1 11.9 7.7
## little influential 10.0 26.6 21.3 12.7 17.1 6.2
## somewhat influential 27.2 17.4 27.2 26.0 35.6 16.3
## very influential 32.4 16.0 16.5 25.5 19.1 32.7
## extremely influential 27.6 9.9 8.7 27.8 16.3 37.0
## Total 100.0 99.9 100.0 100.1 100.0 99.9
## Count 250.0 293.0 334.0 385.0 362.0 208.0
## COUNTRY
## C15E Singapore_NON-REP South Africa South Korea Spain
## not influential 21.8 18.0 7.9 21.3
## little influential 14.9 21.1 20.4 13.6
## somewhat influential 29.9 29.4 27.5 21.9
## very influential 21.8 16.6 30.0 20.5
## extremely influential 11.5 14.9 14.2 22.7
## Total 99.9 100.0 100.0 100.0
## Count 87.0 350.0 353.0 375.0
## COUNTRY
## C15E Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 8.1 34.5 40.6 NaN 0.0 1.6
## little influential 15.9 37.4 41.4 NaN 0.0 1.4
## somewhat influential 22.8 14.5 11.2 NaN 17.6 21.7
## very influential 30.1 9.0 4.9 NaN 45.6 46.9
## extremely influential 23.2 4.6 1.9 NaN 36.8 28.5
## Total 100.1 100.0 100.0 NaN 100.0 100.1
## Count 246.0 545.0 749.0 0 272.0 369.0
## COUNTRY
## C15E Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 21.1 15.6 NaN 24.8 27.0 NaN
## little influential 17.8 15.6 NaN 26.9 21.2 NaN
## somewhat influential 26.7 19.6 NaN 29.0 23.0 NaN
## very influential 20.0 23.1 NaN 11.3 18.5 NaN
## extremely influential 14.4 26.2 NaN 8.1 10.2 NaN
## Total 100.0 100.1 NaN 100.1 99.9 NaN
## Count 90.0 225.0 0 618.0 400.0 0#Editorial policy#
colPercents(xtabs(~C15F+COUNTRY, data=wjsn))## COUNTRY
## C15F Albania Argentina Australia Austria Bangladesh
## not influential 7.6 5.2 5.9 5.5 9.4
## little influential 10.0 8.1 6.0 22.7 7.1
## somewhat influential 29.9 27.1 17.9 37.6 16.1
## very influential 41.2 40.3 43.6 25.5 27.1
## extremely influential 11.3 19.3 26.6 8.6 40.3
## Total 100.0 100.0 100.0 99.9 100.0
## Count 291.0 347.0 597.0 776.0 310.0
## COUNTRY
## C15F Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 4.7 7.8 1.7 1.6 NaN NaN
## little influential 11.6 6.7 2.8 9.2 NaN NaN
## somewhat influential 32.1 26.7 10.6 34.1 NaN NaN
## very influential 37.4 37.8 21.7 32.2 NaN NaN
## extremely influential 14.3 21.1 63.3 22.8 NaN NaN
## Total 100.1 100.1 100.1 99.9 NaN NaN
## Count 580.0 90.0 180.0 369.0 0 0
## COUNTRY
## C15F Canada Chile China Colombia Croatia Cyprus
## not influential 19.4 4.2 1.7 8.3 10.1 4.0
## little influential 11.7 9.3 6.5 6.6 12.1 2.0
## somewhat influential 21.9 25.7 34.5 18.2 22.8 38.8
## very influential 24.7 31.9 41.4 30.6 34.9 26.9
## extremely influential 22.2 28.8 16.0 36.3 20.2 28.4
## Total 99.9 99.9 100.1 100.0 100.1 100.1
## Count 324.0 451.0 650.0 545.0 545.0 201.0
## COUNTRY
## C15F Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 4.3 4.3 6.9 3.9 2.4
## little influential 14.9 10.5 6.9 6.2 8.1
## somewhat influential 30.8 25.4 24.1 19.2 17.4
## very influential 33.0 37.6 36.3 35.2 32.8
## extremely influential 17.0 22.1 25.8 35.5 39.3
## Total 100.0 99.9 100.0 100.0 100.0
## Count 276.0 1311.0 361.0 386.0 247.0
## COUNTRY
## C15F Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 10.1 6.9 NaN 1.4 4.0
## little influential 10.9 6.3 NaN 7.7 20.8
## somewhat influential 30.7 15.8 NaN 24.8 35.4
## very influential 34.1 25.5 NaN 43.8 27.4
## extremely influential 14.2 45.6 NaN 22.3 12.4
## Total 100.0 100.1 NaN 100.0 100.0
## Count 267.0 349.0 0 363.0 226.0
## COUNTRY
## C15F Germany Greece Hong Kong Hungary Iceland India
## not influential 7.2 11.4 4.5 9.5 7.1 2.4
## little influential 14.9 22.2 13.7 7.9 13.5 5.0
## somewhat influential 30.7 27.8 35.6 28.6 34.1 16.7
## very influential 31.2 24.6 34.8 36.2 30.6 33.7
## extremely influential 16.0 14.1 11.4 17.7 14.7 42.2
## Total 100.0 100.1 100.0 99.9 100.0 100.0
## Count 724.0 370.0 466.0 367.0 170.0 502.0
## COUNTRY
## C15F Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 4.2 4.1 17.0 7.2 1.8 3.6 8.9
## little influential 6.5 8.9 12.5 17.0 14.8 4.4 15.3
## somewhat influential 30.0 31.5 24.6 37.9 41.1 8.9 29.5
## very influential 43.7 32.5 28.4 24.0 31.5 34.6 24.7
## extremely influential 15.5 22.9 17.6 13.9 10.8 48.5 21.6
## Total 99.9 99.9 100.1 100.0 100.0 100.0 100.0
## Count 613.0 292.0 289.0 388.0 742.0 338.0 190.0
## COUNTRY
## C15F Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 6.1 2.9 1.4 3.5 7.7 4.8
## little influential 15.9 2.9 4.2 5.7 7.3 12.1
## somewhat influential 33.5 9.8 27.7 16.4 28.2 38.0
## very influential 28.0 31.8 42.2 41.5 33.2 37.6
## extremely influential 16.5 52.6 24.6 32.9 23.6 7.5
## Total 100.0 100.0 100.1 100.0 100.0 100.0
## Count 328.0 173.0 358.0 371.0 220.0 479.0
## COUNTRY
## C15F New Zealand Norway Philippines Poland Portugal
## not influential 3.9 1.5 0.9 NaN 2.8
## little influential 9.2 8.1 3.2 NaN 2.8
## somewhat influential 32.2 35.2 19.1 NaN 31.2
## very influential 38.1 48.0 45.6 NaN 37.8
## extremely influential 16.5 7.3 31.2 NaN 25.5
## Total 99.9 100.1 100.0 NaN 100.1
## Count 509.0 546.0 340.0 0 400.0
## COUNTRY
## C15F Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 1.2 11.8 7.7 9.8 5.6 3.2
## little influential 9.4 14.8 12.5 18.3 7.3 2.8
## somewhat influential 24.4 20.2 24.9 24.5 24.6 11.6
## very influential 42.5 29.6 34.1 26.3 38.5 26.4
## extremely influential 22.4 23.6 20.8 21.1 24.1 56.0
## Total 99.9 100.0 100.0 100.0 100.1 100.0
## Count 254.0 331.0 337.0 388.0 395.0 216.0
## COUNTRY
## C15F Singapore_NON-REP South Africa South Korea Spain
## not influential 12.9 1.9 0.9 5.7
## little influential 24.7 4.4 8.2 11.5
## somewhat influential 23.7 17.2 33.5 25.3
## very influential 20.4 36.5 42.0 37.6
## extremely influential 18.3 40.1 15.3 19.8
## Total 100.0 100.1 99.9 99.9
## Count 93.0 367.0 352.0 383.0
## COUNTRY
## C15F Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 1.5 3.4 5.4 NaN 0.0 0.3
## little influential 5.6 15.6 25.1 NaN 0.4 0.5
## somewhat influential 11.5 34.3 38.6 NaN 18.8 21.9
## very influential 34.8 39.3 24.5 NaN 52.2 49.2
## extremely influential 46.7 7.4 6.5 NaN 28.7 28.1
## Total 100.1 100.0 100.1 NaN 100.1 100.0
## Count 270.0 623.0 866.0 0 272.0 370.0
## COUNTRY
## C15F Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 9.6 28.9 NaN 2.1 9.7 NaN
## little influential 19.1 19.3 NaN 6.9 4.2 NaN
## somewhat influential 20.2 22.9 NaN 26.9 21.3 NaN
## very influential 34.0 13.8 NaN 39.9 32.7 NaN
## extremely influential 17.0 15.1 NaN 24.2 32.2 NaN
## Total 99.9 100.0 NaN 100.0 100.1 NaN
## Count 94.0 218.0 0 681.0 404.0 0#Advertising considerations#
colPercents(xtabs(~C15G+COUNTRY, data=wjsn))## COUNTRY
## C15G Albania Argentina Australia Austria Bangladesh
## not influential 29.3 26.6 39.5 40.4 15.1
## little influential 20.5 25.1 27.1 33.5 22.4
## somewhat influential 23.6 31.0 19.4 16.9 36.0
## very influential 20.1 12.5 11.6 7.3 15.1
## extremely influential 6.6 4.8 2.4 2.0 11.4
## Total 100.1 100.0 100.0 100.1 100.0
## Count 259.0 335.0 542.0 765.0 272.0
## COUNTRY
## C15G Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 56.1 14.8 30.0 21.9 NaN NaN
## little influential 23.1 10.2 19.4 29.6 NaN NaN
## somewhat influential 14.1 25.0 23.8 26.4 NaN NaN
## very influential 4.7 39.8 15.0 11.6 NaN NaN
## extremely influential 2.0 10.2 11.9 10.6 NaN NaN
## Total 100.0 100.0 100.1 100.1 NaN NaN
## Count 553.0 88.0 160.0 311.0 0 0
## COUNTRY
## C15G Canada Chile China Colombia Croatia Cyprus
## not influential 65.9 27.9 5.6 21.1 34.4 30.9
## little influential 24.1 24.7 18.7 15.2 15.0 12.3
## somewhat influential 7.4 20.0 48.5 20.7 17.4 24.0
## very influential 1.9 16.4 18.4 20.0 21.1 19.1
## extremely influential 0.6 11.0 8.9 22.9 12.2 13.7
## Total 99.9 100.0 100.1 99.9 100.1 100.0
## Count 323.0 445.0 643.0 545.0 541.0 204.0
## COUNTRY
## C15G Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 37.3 62.3 24.6 14.9 18.1
## little influential 17.1 18.5 18.6 15.2 11.8
## somewhat influential 28.9 12.6 25.2 31.6 27.3
## very influential 11.4 4.4 21.2 24.5 26.5
## extremely influential 5.3 2.2 10.4 13.7 16.4
## Total 100.0 100.0 100.0 99.9 100.1
## Count 263.0 1197.0 345.0 335.0 238.0
## COUNTRY
## C15G Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 43.0 27.0 NaN 56.7 39.3
## little influential 20.5 17.3 NaN 30.5 39.8
## somewhat influential 19.0 26.7 NaN 11.3 18.0
## very influential 14.1 18.2 NaN 0.9 1.9
## extremely influential 3.4 10.7 NaN 0.6 0.9
## Total 100.0 99.9 NaN 100.0 99.9
## Count 263.0 318.0 0 328.0 211.0
## COUNTRY
## C15G Germany Greece Hong Kong Hungary Iceland India
## not influential 33.5 19.3 24.3 12.4 69.1 12.1
## little influential 25.6 30.3 38.9 21.6 19.1 16.9
## somewhat influential 20.8 25.5 23.3 32.7 8.4 26.6
## very influential 12.9 15.8 10.1 25.7 2.8 26.4
## extremely influential 7.2 9.1 3.4 7.6 0.6 18.0
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 707.0 373.0 416.0 370.0 178.0 478.0
## COUNTRY
## C15G Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 21.6 39.2 39.1 38.4 18.0 4.3 32.3
## little influential 17.8 28.4 16.1 31.8 34.2 13.7 22.8
## somewhat influential 36.9 22.0 19.2 17.6 32.4 31.0 23.4
## very influential 19.1 7.5 17.0 7.1 11.8 33.7 15.0
## extremely influential 4.5 3.0 8.5 5.0 3.5 17.3 6.6
## Total 99.9 100.1 99.9 99.9 99.9 100.0 100.1
## Count 601.0 268.0 317.0 380.0 743.0 329.0 167.0
## COUNTRY
## C15G Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 32.7 8.0 5.1 27.4 28.3 32.7
## little influential 29.0 14.7 13.9 18.6 19.2 21.6
## somewhat influential 17.3 28.2 40.2 27.1 27.9 31.8
## very influential 17.0 35.6 32.0 16.1 15.1 10.0
## extremely influential 4.0 13.5 8.8 10.7 9.6 3.9
## Total 100.0 100.0 100.0 99.9 100.1 100.0
## Count 300.0 163.0 353.0 354.0 219.0 490.0
## COUNTRY
## C15G New Zealand Norway Philippines Poland Portugal
## not influential 39.1 63.9 15.9 NaN 36.3
## little influential 22.9 21.5 25.1 NaN 31.1
## somewhat influential 25.4 10.7 34.8 NaN 20.6
## very influential 9.2 2.6 20.1 NaN 11.2
## extremely influential 3.4 1.3 4.1 NaN 0.7
## Total 100.0 100.0 100.0 NaN 99.9
## Count 468.0 466.0 339.0 0 267.0
## COUNTRY
## C15G Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 4.3 14.4 27.2 33.9 17.0 6.8
## little influential 16.6 19.2 23.4 21.4 22.9 14.7
## somewhat influential 34.0 26.0 26.6 23.5 36.9 28.8
## very influential 31.6 20.9 16.2 12.7 14.0 30.9
## extremely influential 13.4 19.5 6.6 8.5 9.2 18.8
## Total 99.9 100.0 100.0 100.0 100.0 100.0
## Count 253.0 292.0 334.0 378.0 358.0 191.0
## COUNTRY
## C15G Singapore_NON-REP South Africa South Korea Spain
## not influential 13.5 25.2 7.7 19.3
## little influential 25.8 24.6 19.6 18.2
## somewhat influential 30.3 29.9 35.2 25.9
## very influential 24.7 12.6 25.6 24.0
## extremely influential 5.6 7.6 11.9 12.7
## Total 99.9 99.9 100.0 100.1
## Count 89.0 341.0 352.0 363.0
## COUNTRY
## C15G Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 7.2 45.9 35.7 NaN 16.0 2.1
## little influential 8.8 34.0 41.6 NaN 37.8 2.9
## somewhat influential 20.8 12.5 15.5 NaN 26.7 31.2
## very influential 35.2 5.7 4.8 NaN 12.4 39.4
## extremely influential 28.0 2.0 2.4 NaN 7.1 24.4
## Total 100.0 100.1 100.0 NaN 100.0 100.0
## Count 250.0 512.0 736.0 0 225.0 340.0
## COUNTRY
## C15G Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 31.9 21.3 NaN 25.5 53.2 NaN
## little influential 20.2 16.3 NaN 31.7 26.6 NaN
## somewhat influential 31.9 28.7 NaN 28.9 16.5 NaN
## very influential 9.6 18.3 NaN 9.6 2.7 NaN
## extremely influential 6.4 15.3 NaN 4.2 1.0 NaN
## Total 100.0 99.9 NaN 99.9 100.0 NaN
## Count 94.0 202.0 0 612.0 406.0 0#Profit expectations#
colPercents(xtabs(~C15H+COUNTRY, data=wjsn))## COUNTRY
## C15H Albania Argentina Australia Austria Bangladesh
## not influential 38.5 30.9 44.3 35.7 37.7
## little influential 13.8 20.1 18.9 32.0 19.3
## somewhat influential 23.6 29.6 19.5 22.0 24.6
## very influential 15.3 11.4 14.1 7.2 11.9
## extremely influential 8.7 8.0 3.2 3.2 6.6
## Total 99.9 100.0 100.0 100.1 100.1
## Count 275.0 324.0 533.0 760.0 244.0
## COUNTRY
## C15H Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 56.0 12.9 30.5 21.9 NaN NaN
## little influential 20.7 12.9 17.5 24.9 NaN NaN
## somewhat influential 12.9 34.1 23.4 27.2 NaN NaN
## very influential 6.5 23.5 16.9 14.6 NaN NaN
## extremely influential 3.9 16.5 11.7 11.3 NaN NaN
## Total 100.0 99.9 100.0 99.9 NaN NaN
## Count 541.0 85.0 154.0 301.0 0 0
## COUNTRY
## C15H Canada Chile China Colombia Croatia Cyprus
## not influential 67.9 27.9 5.9 24.0 33.3 32.8
## little influential 15.7 21.1 19.7 14.2 13.5 12.3
## somewhat influential 12.3 20.9 47.2 23.1 18.5 24.0
## very influential 2.8 17.8 18.9 19.9 20.6 9.3
## extremely influential 1.2 12.4 8.2 18.8 14.2 21.6
## Total 99.9 100.1 99.9 100.0 100.1 100.0
## Count 324.0 445.0 644.0 542.0 535.0 204.0
## COUNTRY
## C15H Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 40.6 39.7 17.5 14.3 18.3
## little influential 21.1 21.1 18.9 16.7 9.6
## somewhat influential 23.4 21.6 27.2 28.9 28.7
## very influential 11.9 10.6 23.7 28.0 24.6
## extremely influential 3.1 7.0 12.7 12.2 18.8
## Total 100.1 100.0 100.0 100.1 100.0
## Count 261.0 1227.0 338.0 329.0 240.0
## COUNTRY
## C15H Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 43.2 24.0 NaN 41.0 38.0
## little influential 18.5 14.1 NaN 25.9 36.5
## somewhat influential 19.7 30.0 NaN 23.2 19.2
## very influential 12.0 21.7 NaN 8.1 3.8
## extremely influential 6.6 10.2 NaN 1.8 2.4
## Total 100.0 100.0 NaN 100.0 99.9
## Count 259.0 313.0 0 332.0 208.0
## COUNTRY
## C15H Germany Greece Hong Kong Hungary Iceland India
## not influential 32.6 31.5 28.2 15.0 57.7 16.4
## little influential 20.3 29.0 38.1 16.9 18.9 16.2
## somewhat influential 25.7 22.3 20.4 31.1 16.0 25.5
## very influential 14.5 11.0 8.5 26.4 5.7 26.8
## extremely influential 6.9 6.2 4.9 10.6 1.7 15.1
## Total 100.0 100.0 100.1 100.0 100.0 100.0
## Count 709.0 372.0 412.0 367.0 175.0 463.0
## COUNTRY
## C15H Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 21.6 43.5 58.7 35.7 21.7 7.9 50.9
## little influential 19.2 25.4 14.0 30.4 38.3 17.3 19.8
## somewhat influential 34.1 23.8 13.3 19.7 28.5 20.9 18.6
## very influential 19.7 4.2 8.3 9.7 9.0 37.3 8.4
## extremely influential 5.4 3.1 5.7 4.5 2.4 16.7 2.4
## Total 100.0 100.0 100.0 100.0 99.9 100.1 100.1
## Count 569.0 260.0 300.0 381.0 741.0 330.0 167.0
## COUNTRY
## C15H Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 40.1 19.5 6.4 21.8 20.4 37.6
## little influential 25.8 13.2 11.9 17.5 18.5 20.4
## somewhat influential 18.7 24.5 38.0 23.4 30.6 26.4
## very influential 11.0 29.6 33.0 23.2 18.1 12.5
## extremely influential 4.3 13.2 10.7 14.1 12.5 3.1
## Total 99.9 100.0 100.0 100.0 100.1 100.0
## Count 299.0 159.0 345.0 354.0 216.0 447.0
## COUNTRY
## C15H New Zealand Norway Philippines Poland Portugal
## not influential 40.0 45.7 17.4 NaN 28.5
## little influential 19.0 24.0 26.8 NaN 26.3
## somewhat influential 26.3 20.9 33.3 NaN 27.4
## very influential 9.2 7.7 17.7 NaN 15.9
## extremely influential 5.5 1.7 4.7 NaN 1.9
## Total 100.0 100.0 99.9 NaN 100.0
## Count 457.0 479.0 339.0 0 270.0
## COUNTRY
## C15H Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 10.9 16.0 23.5 27.6 18.3 15.6
## little influential 17.9 17.0 12.8 26.5 22.8 20.6
## somewhat influential 39.7 26.5 31.2 19.1 28.1 26.7
## very influential 23.3 23.9 23.2 16.7 18.6 23.9
## extremely influential 8.2 16.7 9.2 10.1 12.2 13.3
## Total 100.0 100.1 99.9 100.0 100.0 100.1
## Count 257.0 306.0 336.0 377.0 360.0 180.0
## COUNTRY
## C15H Singapore_NON-REP South Africa South Korea Spain
## not influential 19.3 26.0 9.7 18.4
## little influential 17.0 22.1 22.7 19.8
## somewhat influential 36.4 28.1 32.4 28.9
## very influential 19.3 15.1 24.7 25.4
## extremely influential 8.0 8.8 10.5 7.5
## Total 100.0 100.1 100.0 100.0
## Count 88.0 331.0 352.0 374.0
## COUNTRY
## C15H Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 11.8 33.3 29.7 NaN 16.4 1.5
## little influential 14.3 26.9 40.3 NaN 38.8 2.1
## somewhat influential 22.3 18.8 21.1 NaN 27.4 32.1
## very influential 26.9 11.8 6.4 NaN 12.8 45.3
## extremely influential 24.8 9.2 2.5 NaN 4.6 19.1
## Total 100.1 100.0 100.0 NaN 100.0 100.1
## Count 238.0 510.0 767.0 0 219.0 340.0
## COUNTRY
## C15H Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 35.5 15.5 NaN 25.0 48.4 NaN
## little influential 20.4 11.2 NaN 27.5 24.6 NaN
## somewhat influential 26.9 30.6 NaN 31.4 20.8 NaN
## very influential 11.8 18.9 NaN 11.9 5.5 NaN
## extremely influential 5.4 23.8 NaN 4.1 0.7 NaN
## Total 100.0 100.0 NaN 99.9 100.0 NaN
## Count 93.0 206.0 0 611.0 403.0 0#Audience research and data#
colPercents(xtabs(~C15J+COUNTRY, data=wjsn))## COUNTRY
## C15J Albania Argentina Australia Austria Bangladesh
## not influential 9.9 23.8 12.6 15.7 8.5
## little influential 11.7 20.1 11.7 34.3 10.9
## somewhat influential 27.6 31.9 31.5 30.6 31.4
## very influential 37.1 18.9 32.7 15.2 26.6
## extremely influential 13.8 5.3 11.4 4.1 22.5
## Total 100.1 100.0 99.9 99.9 99.9
## Count 283.0 323.0 596.0 775.0 293.0
## COUNTRY
## C15J Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 18.8 10.1 7.0 10.2 NaN NaN
## little influential 24.2 24.7 8.8 18.7 NaN NaN
## somewhat influential 34.3 21.3 25.7 35.3 NaN NaN
## very influential 18.2 23.6 23.4 19.2 NaN NaN
## extremely influential 4.4 20.2 35.1 16.6 NaN NaN
## Total 99.9 99.9 100.0 100.0 NaN NaN
## Count 565.0 89.0 171.0 343.0 0 0
## COUNTRY
## C15J Canada Chile China Colombia Croatia Cyprus
## not influential 20.1 20.1 4.2 16.3 16.5 40.9
## little influential 23.8 19.4 15.1 11.2 18.4 9.4
## somewhat influential 30.7 26.4 45.3 24.8 30.8 39.4
## very influential 19.1 19.9 28.0 26.6 25.6 5.9
## extremely influential 6.3 14.2 7.5 21.1 8.7 4.4
## Total 100.0 100.0 100.1 100.0 100.0 100.0
## Count 319.0 443.0 644.0 545.0 539.0 203.0
## COUNTRY
## C15J Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 12.7 15.7 9.7 4.3 15.0
## little influential 16.4 29.0 12.3 9.3 11.1
## somewhat influential 34.7 34.2 30.9 28.2 29.1
## very influential 26.5 15.5 28.9 35.9 27.8
## extremely influential 9.7 5.5 18.3 22.3 17.1
## Total 100.0 99.9 100.1 100.0 100.1
## Count 268.0 1281.0 350.0 376.0 234.0
## COUNTRY
## C15J Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 9.3 13.1 NaN 4.5 15.0
## little influential 13.8 15.8 NaN 18.5 29.1
## somewhat influential 32.8 30.7 NaN 52.1 37.7
## very influential 35.1 25.0 NaN 20.4 12.7
## extremely influential 9.0 15.5 NaN 4.5 5.5
## Total 100.0 100.1 NaN 100.0 100.0
## Count 268.0 336.0 0 357.0 220.0
## COUNTRY
## C15J Germany Greece Hong Kong Hungary Iceland India
## not influential 12.7 15.9 20.0 7.2 39.8 3.3
## little influential 20.9 21.6 33.2 10.7 25.7 7.1
## somewhat influential 37.4 31.3 32.5 33.7 23.4 21.9
## very influential 22.9 19.7 11.2 32.6 9.9 35.9
## extremely influential 6.1 11.6 3.1 15.8 1.2 31.7
## Total 100.0 100.1 100.0 100.0 100.0 99.9
## Count 738.0 371.0 419.0 374.0 171.0 479.0
## COUNTRY
## C15J Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 3.2 14.4 23.7 17.6 5.0 3.9 15.3
## little influential 7.4 17.5 13.1 24.8 20.9 6.6 13.5
## somewhat influential 29.1 40.0 29.0 33.1 47.7 21.6 26.5
## very influential 46.2 20.4 27.4 14.7 21.9 39.3 22.4
## extremely influential 14.1 7.7 6.9 9.8 4.5 28.5 22.4
## Total 100.0 100.0 100.1 100.0 100.0 99.9 100.1
## Count 632.0 285.0 321.0 387.0 740.0 333.0 170.0
## COUNTRY
## C15J Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 13.4 4.3 1.7 13.2 8.2 16.7
## little influential 23.0 7.5 7.4 14.1 19.2 19.6
## somewhat influential 33.5 15.5 36.9 29.0 30.6 43.0
## very influential 19.3 39.8 36.9 29.0 21.9 17.6
## extremely influential 10.9 32.9 17.1 14.7 20.1 3.2
## Total 100.1 100.0 100.0 100.0 100.0 100.1
## Count 322.0 161.0 350.0 348.0 219.0 444.0
## COUNTRY
## C15J New Zealand Norway Philippines Poland Portugal
## not influential 11.9 26.1 4.1 NaN 19.0
## little influential 18.3 24.2 7.4 NaN 25.8
## somewhat influential 31.0 38.0 32.2 NaN 33.4
## very influential 27.8 9.5 38.2 NaN 16.9
## extremely influential 10.9 2.2 18.0 NaN 4.9
## Total 99.9 100.0 99.9 NaN 100.0
## Count 503.0 505.0 338.0 0 326.0
## COUNTRY
## C15J Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 3.5 20.3 9.9 9.5 10.9 4.1
## little influential 13.2 24.5 13.5 23.9 15.7 10.2
## somewhat influential 33.5 22.7 32.9 28.6 30.1 25.4
## very influential 35.0 19.7 29.0 25.7 28.0 29.9
## extremely influential 14.8 12.7 14.7 12.2 15.2 30.5
## Total 100.0 99.9 100.0 99.9 99.9 100.1
## Count 257.0 330.0 334.0 377.0 375.0 197.0
## COUNTRY
## C15J Singapore_NON-REP South Africa South Korea Spain
## not influential 4.5 5.0 0.6 18.3
## little influential 18.2 8.9 8.5 18.0
## somewhat influential 44.3 32.1 34.5 32.1
## very influential 22.7 33.5 43.5 25.7
## extremely influential 10.2 20.4 13.0 5.8
## Total 99.9 99.9 100.1 99.9
## Count 88.0 358.0 354.0 377.0
## COUNTRY
## C15J Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 3.4 13.1 14.7 NaN 47.4 1.1
## little influential 8.4 37.2 41.5 NaN 51.4 1.7
## somewhat influential 16.0 31.4 30.9 NaN 0.0 39.9
## very influential 33.8 15.0 9.6 NaN 0.0 40.5
## extremely influential 38.4 3.3 3.3 NaN 1.2 16.8
## Total 100.0 100.0 100.0 NaN 100.0 100.0
## Count 263.0 602.0 837.0 0 249.0 363.0
## COUNTRY
## C15J Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 22.8 16.9 NaN 7.8 10.8 NaN
## little influential 26.1 15.1 NaN 12.3 15.0 NaN
## somewhat influential 28.3 28.8 NaN 38.7 35.9 NaN
## very influential 17.4 18.7 NaN 28.2 30.5 NaN
## extremely influential 5.4 20.5 NaN 12.9 7.9 NaN
## Total 100.0 100.0 NaN 99.9 100.1 NaN
## Count 92.0 219.0 0 666.0 407.0 0#Availability of news-gathering resources#
colPercents(xtabs(~C15K+COUNTRY, data=wjsn))## COUNTRY
## C15K Albania Argentina Australia Austria Bangladesh
## not influential 7.4 10.0 2.2 2.8 8.8
## little influential 9.8 12.0 1.5 11.7 11.9
## somewhat influential 23.2 28.9 20.8 32.7 34.2
## very influential 42.5 34.1 49.2 35.5 27.5
## extremely influential 17.2 14.9 26.3 17.2 17.6
## Total 100.1 99.9 100.0 99.9 100.0
## Count 285.0 349.0 597.0 777.0 295.0
## COUNTRY
## C15K Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 5.5 10.3 2.8 4.3 NaN NaN
## little influential 12.8 19.5 1.1 9.5 NaN NaN
## somewhat influential 36.0 19.5 13.9 36.4 NaN NaN
## very influential 35.8 25.3 31.1 26.9 NaN NaN
## extremely influential 9.9 25.3 51.1 22.8 NaN NaN
## Total 100.0 99.9 100.0 99.9 NaN NaN
## Count 578.0 87.0 180.0 368.0 0 0
## COUNTRY
## C15K Canada Chile China Colombia Croatia Cyprus
## not influential 2.7 12.2 2.0 33.3 4.7 3.5
## little influential 5.7 10.4 7.0 14.5 8.0 15.6
## somewhat influential 30.8 28.7 38.8 18.4 23.4 36.7
## very influential 39.5 26.0 39.1 20.4 39.7 11.6
## extremely influential 21.3 22.6 13.1 13.3 24.1 32.7
## Total 100.0 99.9 100.0 99.9 99.9 100.1
## Count 334.0 442.0 647.0 543.0 551.0 199.0
## COUNTRY
## C15K Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 2.4 4.0 13.3 1.0 8.3
## little influential 5.9 9.4 15.4 3.6 9.5
## somewhat influential 21.7 30.5 22.0 13.7 24.4
## very influential 38.1 34.6 30.7 36.3 31.4
## extremely influential 31.8 21.4 18.6 45.4 26.4
## Total 99.9 99.9 100.0 100.0 100.0
## Count 286.0 1293.0 345.0 388.0 242.0
## COUNTRY
## C15K Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 3.3 4.4 NaN 0.8 4.6
## little influential 4.1 8.1 NaN 5.9 14.7
## somewhat influential 25.2 28.8 NaN 24.7 42.9
## very influential 39.6 35.5 NaN 42.1 24.4
## extremely influential 27.8 23.3 NaN 26.4 13.4
## Total 100.0 100.1 NaN 99.9 100.0
## Count 270.0 344.0 0 356.0 217.0
## COUNTRY
## C15K Germany Greece Hong Kong Hungary Iceland India
## not influential 3.9 5.0 8.6 3.2 2.3 3.8
## little influential 8.0 11.9 19.6 9.4 5.8 5.8
## somewhat influential 31.9 31.2 34.9 29.4 23.3 19.6
## very influential 41.2 31.5 26.9 41.5 39.0 34.3
## extremely influential 15.0 20.4 9.9 16.4 29.7 36.5
## Total 100.0 100.0 99.9 99.9 100.1 100.0
## Count 746.0 378.0 453.0 371.0 172.0 501.0
## COUNTRY
## C15K Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 3.2 2.1 8.8 14.2 3.1 0.6 17.3
## little influential 6.0 3.1 11.3 15.8 15.7 6.0 23.1
## somewhat influential 26.9 28.8 27.0 31.3 51.0 15.9 30.1
## very influential 47.4 41.1 33.9 22.2 25.7 41.0 15.6
## extremely influential 16.6 25.0 19.1 16.5 4.6 36.5 13.9
## Total 100.1 100.1 100.1 100.0 100.1 100.0 100.0
## Count 633.0 292.0 319.0 387.0 721.0 334.0 173.0
## COUNTRY
## C15K Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 4.5 1.2 1.1 14.8 4.6 4.1
## little influential 11.7 2.4 5.0 17.3 6.9 10.2
## somewhat influential 25.8 14.3 31.1 23.9 32.4 37.0
## very influential 41.4 36.9 42.0 29.0 34.3 39.3
## extremely influential 16.5 45.2 20.7 15.1 21.8 9.4
## Total 99.9 100.0 99.9 100.1 100.0 100.0
## Count 333.0 168.0 357.0 352.0 216.0 489.0
## COUNTRY
## C15K New Zealand Norway Philippines Poland Portugal
## not influential 4.0 9.9 1.5 NaN 2.5
## little influential 3.4 21.1 0.6 NaN 5.1
## somewhat influential 30.3 44.7 18.9 NaN 33.6
## very influential 42.0 20.9 48.7 NaN 34.9
## extremely influential 20.3 3.4 30.4 NaN 23.9
## Total 100.0 100.0 100.1 NaN 100.0
## Count 502.0 474.0 339.0 0 393.0
## COUNTRY
## C15K Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 0.8 11.7 4.4 16.1 6.9 1.9
## little influential 9.0 14.6 4.7 20.6 11.4 5.1
## somewhat influential 19.2 24.3 22.8 26.3 29.4 14.0
## very influential 33.3 26.0 39.1 21.6 33.1 34.9
## extremely influential 37.6 23.4 29.0 15.4 19.3 44.2
## Total 99.9 100.0 100.0 100.0 100.1 100.1
## Count 255.0 350.0 338.0 384.0 378.0 215.0
## COUNTRY
## C15K Singapore_NON-REP South Africa South Korea Spain
## not influential 11.2 1.6 0.0 5.7
## little influential 22.5 2.2 2.8 9.9
## somewhat influential 32.6 16.2 22.0 28.3
## very influential 23.6 42.0 51.1 30.9
## extremely influential 10.1 37.9 24.0 25.2
## Total 100.0 99.9 99.9 100.0
## Count 89.0 364.0 354.0 385.0
## COUNTRY
## C15K Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 2.6 3.9 2.2 NaN 0.0 0.3
## little influential 3.0 9.8 12.6 NaN 0.0 1.3
## somewhat influential 6.7 29.5 35.2 NaN 16.9 31.0
## very influential 34.4 40.4 35.8 NaN 46.7 46.6
## extremely influential 53.3 16.4 14.2 NaN 36.4 20.8
## Total 100.0 100.0 100.0 NaN 100.0 100.0
## Count 270.0 611.0 889.0 0 272.0 371.0
## COUNTRY
## C15K Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 16.8 18.7 NaN 4.1 1.2 NaN
## little influential 18.9 16.9 NaN 6.8 4.2 NaN
## somewhat influential 32.6 30.2 NaN 29.3 31.0 NaN
## very influential 25.3 16.4 NaN 41.1 35.7 NaN
## extremely influential 6.3 17.8 NaN 18.8 27.8 NaN
## Total 99.9 100.0 NaN 100.1 99.9 NaN
## Count 95.0 225.0 0 665.0 406.0 0#Time limits#
colPercents(xtabs(~C15L+COUNTRY, data=wjsn))## COUNTRY
## C15L Albania Argentina Australia Austria Bangladesh
## not influential 2.7 4.5 0.8 1.6 6.8
## little influential 6.1 8.5 2.7 10.8 13.8
## somewhat influential 23.1 29.5 18.1 26.0 43.1
## very influential 44.2 40.1 49.9 38.8 17.7
## extremely influential 23.8 17.3 28.5 22.7 18.6
## Total 99.9 99.9 100.0 99.9 100.0
## Count 294.0 352.0 603.0 793.0 311.0
## COUNTRY
## C15L Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 4.1 19.3 1.7 2.7 NaN NaN
## little influential 9.7 14.8 4.1 7.2 NaN NaN
## somewhat influential 30.0 8.0 17.4 25.7 NaN NaN
## very influential 38.3 27.3 33.1 30.3 NaN NaN
## extremely influential 17.9 30.7 43.6 34.0 NaN NaN
## Total 100.0 100.1 99.9 99.9 NaN NaN
## Count 580.0 88.0 172.0 373.0 0 0
## COUNTRY
## C15L Canada Chile China Colombia Croatia Cyprus
## not influential 2.9 5.3 2.0 8.3 5.6 1.0
## little influential 4.6 5.8 10.5 8.1 5.6 2.0
## somewhat influential 25.5 24.4 47.0 24.4 18.1 28.4
## very influential 45.5 33.5 31.2 30.8 40.6 28.4
## extremely influential 21.4 31.0 9.3 28.4 30.1 40.2
## Total 99.9 100.0 100.0 100.0 100.0 100.0
## Count 345.0 451.0 645.0 542.0 552.0 204.0
## COUNTRY
## C15L Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 3.1 2.5 6.1 2.1 5.6
## little influential 7.6 7.8 11.7 5.7 10.8
## somewhat influential 22.1 23.5 30.1 17.6 23.3
## very influential 40.5 31.9 30.6 35.4 33.7
## extremely influential 26.6 34.3 21.4 39.3 26.5
## Total 99.9 100.0 99.9 100.1 99.9
## Count 289.0 1334.0 359.0 387.0 249.0
## COUNTRY
## C15L Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 6.2 6.1 NaN 0.5 3.1
## little influential 6.2 5.5 NaN 5.2 7.1
## somewhat influential 23.7 20.1 NaN 25.1 28.0
## very influential 40.5 40.7 NaN 45.9 30.2
## extremely influential 23.4 27.6 NaN 23.2 31.6
## Total 100.0 100.0 NaN 99.9 100.0
## Count 274.0 344.0 0 366.0 225.0
## COUNTRY
## C15L Germany Greece Hong Kong Hungary Iceland India
## not influential 2.5 3.7 3.9 2.4 2.2 1.4
## little influential 9.2 10.0 11.8 6.5 3.8 4.5
## somewhat influential 27.3 23.1 35.0 24.1 21.3 15.6
## very influential 40.1 37.5 36.7 41.1 42.6 28.5
## extremely influential 20.9 25.7 12.7 25.9 30.1 50.0
## Total 100.0 100.0 100.1 100.0 100.0 100.0
## Count 759.0 381.0 466.0 382.0 183.0 508.0
## COUNTRY
## C15L Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 3.7 1.7 7.8 3.6 0.8 1.2 6.7
## little influential 6.9 3.4 7.2 10.2 5.9 13.3 6.7
## somewhat influential 39.5 22.3 24.0 31.3 30.1 13.3 28.0
## very influential 43.2 41.9 32.1 29.5 44.1 38.5 30.6
## extremely influential 6.7 30.6 28.8 25.4 19.0 33.7 28.0
## Total 100.0 99.9 99.9 100.0 99.9 100.0 100.0
## Count 641.0 291.0 333.0 393.0 741.0 338.0 193.0
## COUNTRY
## C15L Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 5.9 2.3 1.4 7.4 4.1 3.0
## little influential 9.5 2.3 4.2 10.1 9.1 8.7
## somewhat influential 24.6 19.2 33.1 24.8 29.1 34.1
## very influential 42.9 37.2 37.5 34.6 32.7 41.2
## extremely influential 17.2 39.0 23.9 23.2 25.0 13.0
## Total 100.1 100.0 100.1 100.1 100.0 100.0
## Count 338.0 172.0 360.0 367.0 220.0 507.0
## COUNTRY
## C15L New Zealand Norway Philippines Poland Portugal
## not influential 1.8 2.0 3.2 NaN 2.0
## little influential 4.5 6.0 2.9 NaN 5.2
## somewhat influential 23.7 40.3 20.3 NaN 19.5
## very influential 44.9 38.7 46.5 NaN 39.8
## extremely influential 25.1 13.1 27.1 NaN 33.5
## Total 100.0 100.1 100.0 NaN 100.0
## Count 514.0 551.0 340.0 0 400.0
## COUNTRY
## C15L Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 23.4 17.5 3.6 13.3 5.3 1.4
## little influential 18.8 16.9 4.8 23.8 11.4 4.3
## somewhat influential 13.7 19.2 23.6 27.7 26.1 18.1
## very influential 26.6 21.5 37.6 21.4 36.0 35.2
## extremely influential 17.6 24.9 30.4 13.8 21.1 41.0
## Total 100.1 100.0 100.0 100.0 99.9 100.0
## Count 256.0 349.0 335.0 383.0 394.0 210.0
## COUNTRY
## C15L Singapore_NON-REP South Africa South Korea Spain
## not influential 10.9 1.1 0.8 4.1
## little influential 25.0 3.8 4.0 3.9
## somewhat influential 22.8 19.1 29.1 18.5
## very influential 21.7 34.2 48.9 41.4
## extremely influential 19.6 41.8 17.2 32.1
## Total 100.0 100.0 100.0 100.0
## Count 92.0 366.0 354.0 389.0
## COUNTRY
## C15L Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 2.6 2.2 1.8 NaN 3.7 0.0
## little influential 4.1 14.9 13.4 NaN 19.2 1.1
## somewhat influential 6.8 28.9 30.8 NaN 42.1 34.4
## very influential 28.6 38.5 35.8 NaN 26.9 48.1
## extremely influential 57.9 15.5 18.2 NaN 8.1 16.4
## Total 100.0 100.0 100.0 NaN 100.0 100.0
## Count 266.0 650.0 896.0 0 271.0 372.0
## COUNTRY
## C15L Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 10.8 15.9 NaN 1.7 3.4 NaN
## little influential 15.1 13.2 NaN 4.9 3.9 NaN
## somewhat influential 21.5 21.1 NaN 29.2 25.4 NaN
## very influential 36.6 19.8 NaN 40.0 41.6 NaN
## extremely influential 16.1 30.0 NaN 24.1 25.7 NaN
## Total 100.1 100.0 NaN 99.9 100.0 NaN
## Count 93.0 227.0 0 688.0 413.0 0#Journalism ethics#
colPercents(xtabs(~C15M+COUNTRY, data=wjsn))## COUNTRY
## C15M Albania Argentina Australia Austria Bangladesh
## not influential 0.7 2.2 0.2 1.0 4.0
## little influential 1.4 2.0 1.2 7.1 3.4
## somewhat influential 9.5 12.4 7.3 23.2 10.4
## very influential 50.8 41.0 46.8 41.1 22.6
## extremely influential 37.6 42.4 44.6 27.5 59.6
## Total 100.0 100.0 100.1 99.9 100.0
## Count 295.0 356.0 603.0 785.0 327.0
## COUNTRY
## C15M Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 2.7 15.9 1.1 3.6 NaN NaN
## little influential 4.1 12.5 1.1 4.4 NaN NaN
## somewhat influential 17.4 18.2 5.5 14.0 NaN NaN
## very influential 39.5 13.6 20.4 29.2 NaN NaN
## extremely influential 36.3 39.8 71.8 48.8 NaN NaN
## Total 100.0 100.0 99.9 100.0 NaN NaN
## Count 587.0 88.0 181.0 363.0 0 0
## COUNTRY
## C15M Canada Chile China Colombia Croatia Cyprus
## not influential 0.6 1.6 1.1 4.2 2.9 4.0
## little influential 1.4 3.3 5.7 4.8 3.3 1.5
## somewhat influential 5.7 12.0 24.5 14.4 9.5 28.5
## very influential 28.9 27.3 42.0 21.2 31.7 15.5
## extremely influential 63.3 55.9 26.7 55.4 52.6 50.5
## Total 99.9 100.1 100.0 100.0 100.0 100.0
## Count 349.0 451.0 648.0 543.0 549.0 200.0
## COUNTRY
## C15M Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 1.4 1.1 1.4 2.3 1.2
## little influential 2.8 7.6 1.4 1.8 3.2
## somewhat influential 5.6 20.6 8.5 8.5 9.6
## very influential 33.2 36.5 26.8 20.9 30.4
## extremely influential 57.0 34.2 62.0 66.5 55.6
## Total 100.0 100.0 100.1 100.0 100.0
## Count 286.0 1322.0 366.0 388.0 250.0
## COUNTRY
## C15M Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 1.1 11.0 NaN 0.3 0.4
## little influential 5.1 8.7 NaN 1.4 3.6
## somewhat influential 6.9 17.4 NaN 9.6 17.4
## very influential 38.3 33.3 NaN 41.8 31.2
## extremely influential 48.5 29.6 NaN 47.0 47.3
## Total 99.9 100.0 NaN 100.1 99.9
## Count 274.0 345.0 0 366.0 224.0
## COUNTRY
## C15M Germany Greece Hong Kong Hungary Iceland India
## not influential 1.3 2.1 5.0 1.6 2.3 2.7
## little influential 4.9 3.9 9.8 5.2 11.3 4.1
## somewhat influential 16.5 16.2 29.9 21.6 20.9 12.7
## very influential 41.7 31.9 37.7 33.3 33.3 28.5
## extremely influential 35.5 45.8 17.6 38.3 32.2 52.0
## Total 99.9 99.9 100.0 100.0 100.0 100.0
## Count 750.0 382.0 461.0 384.0 177.0 512.0
## COUNTRY
## C15M Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 3.0 1.0 1.2 1.3 0.8 2.1 3.1
## little influential 3.1 2.1 2.7 3.6 5.0 7.4 2.6
## somewhat influential 11.9 17.5 8.5 17.6 32.5 10.0 7.3
## very influential 46.6 38.5 27.2 29.8 39.8 36.6 25.1
## extremely influential 35.4 40.9 60.4 47.8 21.9 44.0 61.8
## Total 100.0 100.0 100.0 100.1 100.0 100.1 99.9
## Count 641.0 291.0 331.0 393.0 739.0 339.0 191.0
## COUNTRY
## C15M Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 7.8 0.0 2.2 1.3 0.9 8.4
## little influential 11.9 4.0 3.6 1.6 5.0 10.8
## somewhat influential 18.5 6.9 22.5 3.7 16.7 31.1
## very influential 33.4 23.7 38.5 28.5 31.2 40.2
## extremely influential 28.4 65.3 33.2 64.9 46.2 9.4
## Total 100.0 99.9 100.0 100.0 100.0 99.9
## Count 335.0 173.0 364.0 376.0 221.0 498.0
## COUNTRY
## C15M New Zealand Norway Philippines Poland Portugal
## not influential 0.8 1.1 0.3 NaN 0.8
## little influential 3.9 3.3 0.3 NaN 1.0
## somewhat influential 13.3 18.1 6.5 NaN 5.5
## very influential 42.1 57.3 38.2 NaN 22.9
## extremely influential 40.0 20.3 54.7 NaN 69.8
## Total 100.1 100.1 100.0 NaN 100.0
## Count 513.0 548.0 338.0 0 398.0
## COUNTRY
## C15M Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 1.2 20.0 1.8 10.1 3.0 2.3
## little influential 28.4 23.6 4.1 23.0 1.7 2.8
## somewhat influential 13.2 21.2 12.7 26.9 8.0 8.3
## very influential 29.2 19.4 29.9 20.2 28.2 22.2
## extremely influential 28.0 15.8 51.5 19.9 59.1 64.4
## Total 100.0 100.0 100.0 100.1 100.0 100.0
## Count 257.0 335.0 338.0 387.0 401.0 216.0
## COUNTRY
## C15M Singapore_NON-REP South Africa South Korea Spain
## not influential 10.8 0.3 0.6 1.0
## little influential 22.6 0.5 4.5 1.8
## somewhat influential 12.9 7.3 26.0 7.7
## very influential 24.7 25.7 50.8 35.9
## extremely influential 29.0 66.2 18.1 53.6
## Total 100.0 100.0 100.0 100.0
## Count 93.0 370.0 354.0 390.0
## COUNTRY
## C15M Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 1.7 0.8 1.6 NaN 1.8 0.3
## little influential 0.8 6.9 8.4 NaN 7.7 0.0
## somewhat influential 2.5 22.9 29.1 NaN 21.7 22.8
## very influential 19.5 52.1 42.8 NaN 45.6 38.4
## extremely influential 75.4 17.3 18.2 NaN 23.2 38.4
## Total 99.9 100.0 100.1 NaN 100.0 99.9
## Count 118.0 652.0 895.0 0 272.0 372.0
## COUNTRY
## C15M Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 10.8 30.8 NaN 1.2 1.7 NaN
## little influential 11.8 14.7 NaN 3.9 1.5 NaN
## somewhat influential 22.6 14.7 NaN 18.5 4.1 NaN
## very influential 30.1 14.7 NaN 36.8 21.6 NaN
## extremely influential 24.7 25.0 NaN 39.6 71.1 NaN
## Total 100.0 99.9 NaN 100.0 100.0 NaN
## Count 93.0 224.0 0 687.0 412.0 0#Here is another list. Again, please tell me on a scale of 5 to 1 how influential each of the following is in your work.#
#Your friends, acquaintances and family#
colPercents(xtabs(~C16A+COUNTRY, data=wjsn))## COUNTRY
## C16A Albania Argentina Australia Austria Bangladesh
## not influential 32.2 18.6 34.9 24.5 54.2
## little influential 26.8 26.6 32.6 49.0 17.8
## somewhat influential 24.4 36.7 25.1 19.8 11.1
## very influential 13.6 14.3 6.0 6.0 7.7
## extremely influential 3.1 3.7 1.5 0.6 9.2
## Total 100.1 99.9 100.1 99.9 100.0
## Count 295.0 349.0 605.0 781.0 325.0
## COUNTRY
## C16A Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 31.1 16.7 45.4 19.9 NaN NaN
## little influential 34.0 7.8 19.5 35.9 NaN NaN
## somewhat influential 24.5 12.2 18.4 30.1 NaN NaN
## very influential 9.6 27.8 9.2 10.6 NaN NaN
## extremely influential 0.7 35.6 7.6 3.5 NaN NaN
## Total 99.9 100.1 100.1 100.0 NaN NaN
## Count 591.0 90.0 185.0 376.0 0 0
## COUNTRY
## C16A Canada Chile China Colombia Croatia Cyprus
## not influential 40.9 38.9 14.6 36.4 21.7 78.8
## little influential 33.2 21.9 36.0 21.4 22.1 7.9
## somewhat influential 20.2 23.6 36.1 23.5 25.3 10.8
## very influential 5.1 12.4 10.3 11.5 19.7 1.0
## extremely influential 0.6 3.3 3.0 7.2 11.2 1.5
## Total 100.0 100.1 100.0 100.0 100.0 100.0
## Count 352.0 453.0 623.0 541.0 553.0 203.0
## COUNTRY
## C16A Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 18.8 40.5 25.3 34.6 36.5
## little influential 24.3 35.9 18.7 16.7 19.5
## somewhat influential 24.0 18.1 29.8 27.8 26.1
## very influential 17.4 4.7 15.2 10.1 10.8
## extremely influential 15.6 0.7 11.0 10.9 7.1
## Total 100.1 99.9 100.0 100.1 100.0
## Count 288.0 1268.0 363.0 396.0 241.0
## COUNTRY
## C16A Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 26.4 29.4 NaN 15.5 20.2
## little influential 26.0 24.8 NaN 36.7 46.9
## somewhat influential 31.9 27.4 NaN 36.7 18.4
## very influential 14.3 11.2 NaN 8.3 13.2
## extremely influential 1.5 7.2 NaN 2.8 1.3
## Total 100.1 100.0 NaN 100.0 100.0
## Count 273.0 347.0 0 362.0 228.0
## COUNTRY
## C16A Germany Greece Hong Kong Hungary Iceland India
## not influential 34.5 41.1 21.0 16.1 14.4 37.8
## little influential 36.5 31.0 38.2 21.6 31.7 22.2
## somewhat influential 23.8 16.0 29.8 31.8 31.7 18.1
## very influential 4.2 8.5 10.0 22.7 19.4 12.7
## extremely influential 0.9 3.4 1.0 7.8 2.8 9.1
## Total 99.9 100.0 100.0 100.0 100.0 99.9
## Count 756.0 387.0 419.0 384.0 180.0 518.0
## COUNTRY
## C16A Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 15.4 26.6 40.7 35.1 17.0 21.1 39.3
## little influential 19.4 37.2 22.1 37.7 37.4 22.8 27.6
## somewhat influential 44.5 27.9 23.6 18.8 32.1 29.7 18.4
## very influential 16.9 6.3 9.7 5.9 10.7 14.8 5.6
## extremely influential 3.8 2.0 3.8 2.5 2.8 11.6 9.2
## Total 100.0 100.0 99.9 100.0 100.0 100.0 100.1
## Count 661.0 301.0 339.0 393.0 741.0 337.0 196.0
## COUNTRY
## C16A Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 27.4 21.4 11.8 40.6 30.0 28.3
## little influential 37.6 17.0 16.2 19.7 29.1 28.3
## somewhat influential 24.1 28.9 35.4 23.8 22.3 38.6
## very influential 6.8 18.2 22.8 12.5 13.2 4.1
## extremely influential 4.1 14.5 13.7 3.5 5.5 0.8
## Total 100.0 100.0 99.9 100.1 100.1 100.1
## Count 340.0 159.0 364.0 345.0 220.0 516.0
## COUNTRY
## C16A New Zealand Norway Philippines Poland Portugal
## not influential 21.4 13.7 23.1 NaN 32.8
## little influential 28.7 58.8 36.8 NaN 26.1
## somewhat influential 37.2 22.2 30.0 NaN 26.8
## very influential 10.5 4.2 8.6 NaN 12.1
## extremely influential 2.2 1.1 1.5 NaN 2.2
## Total 100.0 100.0 100.0 NaN 100.0
## Count 495.0 554.0 337.0 0 406.0
## COUNTRY
## C16A Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 17.6 22.8 30.2 24.9 30.1 38.0
## little influential 32.9 20.5 23.2 29.7 21.7 25.4
## somewhat influential 23.9 19.7 26.1 22.3 31.1 19.5
## very influential 16.1 18.2 12.3 16.7 10.6 9.8
## extremely influential 9.4 18.8 8.2 6.4 6.4 7.3
## Total 99.9 100.0 100.0 100.0 99.9 100.0
## Count 255.0 346.0 341.0 390.0 405.0 205.0
## COUNTRY
## C16A Singapore_NON-REP South Africa South Korea Spain
## not influential 16.1 30.1 7.4 40.0
## little influential 24.7 33.6 26.1 25.4
## somewhat influential 28.0 24.1 39.4 23.6
## very influential 24.7 7.3 24.6 8.7
## extremely influential 6.5 4.9 2.5 2.3
## Total 100.0 100.0 100.0 100.0
## Count 93.0 369.0 353.0 390.0
## COUNTRY
## C16A Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 53.3 15.8 14.8 NaN 14.7 3.8
## little influential 6.3 55.5 51.1 NaN 46.0 3.6
## somewhat influential 12.2 22.4 24.2 NaN 38.6 29.0
## very influential 9.6 6.3 8.5 NaN 0.7 33.9
## extremely influential 18.5 0.0 1.3 NaN 0.0 29.8
## Total 99.9 100.0 99.9 NaN 100.0 100.1
## Count 270.0 647.0 904.0 0 272.0 366.0
## COUNTRY
## C16A Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 21.1 29.5 NaN 26.2 31.9 NaN
## little influential 28.4 16.5 NaN 32.5 28.5 NaN
## somewhat influential 35.8 29.5 NaN 31.8 28.3 NaN
## very influential 14.7 12.1 NaN 7.1 9.2 NaN
## extremely influential 0.0 12.5 NaN 2.4 2.2 NaN
## Total 100.0 100.1 NaN 100.0 100.1 NaN
## Count 95.0 224.0 0 695.0 414.0 0#Colleagues in other media#
colPercents(xtabs(~C16B+COUNTRY, data=wjsn))## COUNTRY
## C16B Albania Argentina Australia Austria Bangladesh
## not influential 35.9 9.5 26.4 23.4 43.3
## little influential 28.1 29.0 26.0 52.7 23.0
## somewhat influential 29.5 42.1 33.9 18.9 17.5
## very influential 5.1 17.0 11.6 4.9 8.0
## extremely influential 1.4 2.5 2.1 0.1 8.3
## Total 100.0 100.1 100.0 100.0 100.1
## Count 295.0 359.0 605.0 783.0 326.0
## COUNTRY
## C16B Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 22.9 6.7 27.3 11.7 NaN NaN
## little influential 31.4 13.5 13.7 34.0 NaN NaN
## somewhat influential 34.8 19.1 30.6 36.7 NaN NaN
## very influential 9.7 32.6 23.0 13.3 NaN NaN
## extremely influential 1.2 28.1 5.5 4.3 NaN NaN
## Total 100.0 100.0 100.1 100.0 NaN NaN
## Count 589.0 89.0 183.0 376.0 0 0
## COUNTRY
## C16B Canada Chile China Colombia Croatia Cyprus
## not influential 29.1 28.6 10.3 30.1 18.4 49.0
## little influential 31.1 29.0 27.1 20.1 28.2 23.0
## somewhat influential 29.4 24.8 50.6 26.2 28.0 24.0
## very influential 9.4 14.1 10.2 14.9 18.1 2.5
## extremely influential 0.9 3.5 1.7 8.7 7.2 1.5
## Total 99.9 100.0 99.9 100.0 99.9 100.0
## Count 350.0 455.0 638.0 542.0 553.0 204.0
## COUNTRY
## C16B Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 17.9 39.5 21.2 23.2 25.8
## little influential 38.8 34.6 19.6 23.7 25.0
## somewhat influential 28.2 20.1 32.0 31.3 31.1
## very influential 12.7 5.3 18.2 12.6 12.7
## extremely influential 2.4 0.5 9.1 9.1 5.3
## Total 100.0 100.0 100.1 99.9 99.9
## Count 291.0 1275.0 363.0 396.0 244.0
## COUNTRY
## C16B Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 28.1 34.7 NaN 19.1 15.5
## little influential 32.8 25.9 NaN 38.8 41.6
## somewhat influential 31.0 22.2 NaN 36.9 30.5
## very influential 6.2 12.2 NaN 5.2 10.6
## extremely influential 1.8 5.0 NaN 0.0 1.8
## Total 99.9 100.0 NaN 100.0 100.0
## Count 274.0 343.0 0 366.0 226.0
## COUNTRY
## C16B Germany Greece Hong Kong Hungary Iceland India
## not influential 26.6 33.0 15.0 20.4 30.9 28.0
## little influential 35.1 37.7 29.8 23.3 38.7 22.0
## somewhat influential 30.6 17.9 43.0 35.3 23.2 24.3
## very influential 7.1 8.8 10.4 18.6 6.6 19.1
## extremely influential 0.7 2.6 1.8 2.4 0.6 6.6
## Total 100.1 100.0 100.0 100.0 100.0 100.0
## Count 756.0 385.0 453.0 382.0 181.0 518.0
## COUNTRY
## C16B Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 14.5 15.9 29.5 24.4 13.7 9.0 35.6
## little influential 20.2 31.2 26.0 43.9 34.3 17.1 36.1
## somewhat influential 43.5 43.2 26.8 24.9 37.8 33.3 18.0
## very influential 18.1 7.6 16.2 5.1 12.4 31.8 5.7
## extremely influential 3.7 2.0 1.5 1.8 1.7 8.7 4.6
## Total 100.0 99.9 100.0 100.1 99.9 99.9 100.0
## Count 657.0 301.0 339.0 394.0 743.0 333.0 194.0
## COUNTRY
## C16B Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 31.8 12.4 7.1 29.4 23.1 20.2
## little influential 34.4 12.4 13.9 24.2 26.7 28.1
## somewhat influential 24.1 30.6 37.5 28.9 36.7 44.8
## very influential 7.9 27.1 32.1 14.4 12.7 6.4
## extremely influential 1.8 17.6 9.5 3.1 0.9 0.6
## Total 100.0 100.1 100.1 100.0 100.1 100.1
## Count 340.0 170.0 368.0 360.0 221.0 516.0
## COUNTRY
## C16B New Zealand Norway Philippines Poland Portugal
## not influential 19.2 14.7 14.3 NaN 26.4
## little influential 27.5 58.5 31.8 NaN 30.3
## somewhat influential 41.0 23.4 42.0 NaN 28.1
## very influential 10.7 2.5 10.7 NaN 14.0
## extremely influential 1.6 0.9 1.2 NaN 1.2
## Total 100.0 100.0 100.0 NaN 100.0
## Count 495.0 552.0 336.0 0 406.0
## COUNTRY
## C16B Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 16.9 15.9 23.6 23.6 23.6 12.1
## little influential 30.2 16.7 24.2 41.5 25.6 19.1
## somewhat influential 27.1 26.1 32.7 22.3 37.2 23.7
## very influential 16.9 22.6 15.3 10.3 9.9 27.0
## extremely influential 9.0 18.6 4.1 2.3 3.7 18.1
## Total 100.1 99.9 99.9 100.0 100.0 100.0
## Count 255.0 371.0 339.0 390.0 406.0 215.0
## COUNTRY
## C16B Singapore_NON-REP South Africa South Korea Spain
## not influential 12.9 17.8 4.0 30.1
## little influential 22.6 24.6 21.8 36.5
## somewhat influential 36.6 35.1 46.2 24.4
## very influential 21.5 17.0 24.9 8.0
## extremely influential 6.5 5.4 3.1 1.0
## Total 100.1 99.9 100.0 100.0
## Count 93.0 370.0 353.0 389.0
## COUNTRY
## C16B Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 23.6 14.0 15.5 NaN 29.8 2.4
## little influential 15.0 54.6 56.2 NaN 48.2 4.3
## somewhat influential 18.4 25.4 24.4 NaN 21.3 30.6
## very influential 19.9 5.9 3.5 NaN 0.7 37.4
## extremely influential 23.2 0.2 0.3 NaN 0.0 25.3
## Total 100.1 100.1 99.9 NaN 100.0 100.0
## Count 267.0 645.0 904.0 0 272.0 372.0
## COUNTRY
## C16B Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 26.3 17.8 NaN 15.4 15.2 NaN
## little influential 35.8 18.7 NaN 27.6 28.0 NaN
## somewhat influential 30.5 19.6 NaN 40.9 37.4 NaN
## very influential 7.4 23.6 NaN 14.1 16.7 NaN
## extremely influential 0.0 20.4 NaN 2.0 2.7 NaN
## Total 100.0 100.1 NaN 100.0 100.0 NaN
## Count 95.0 225.0 0 696.0 414.0 0#Feedback from the audience#
colPercents(xtabs(~C16C+COUNTRY, data=wjsn))## COUNTRY
## C16C Albania Argentina Australia Austria Bangladesh
## not influential 4.8 4.2 2.8 7.7 14.9
## little influential 11.2 15.9 10.8 33.2 12.5
## somewhat influential 28.2 42.2 37.3 39.8 23.5
## very influential 39.5 30.9 37.7 16.5 21.6
## extremely influential 16.3 6.8 11.4 2.9 27.4
## Total 100.0 100.0 100.0 100.1 99.9
## Count 294.0 353.0 604.0 784.0 328.0
## COUNTRY
## C16C Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 14.6 1.1 4.9 5.9 NaN NaN
## little influential 33.8 5.6 6.0 14.1 NaN NaN
## somewhat influential 35.9 20.0 20.7 37.2 NaN NaN
## very influential 14.3 28.9 33.7 27.9 NaN NaN
## extremely influential 1.4 44.4 34.8 14.9 NaN NaN
## Total 100.0 100.0 100.1 100.0 NaN NaN
## Count 588.0 90.0 184.0 376.0 0 0
## COUNTRY
## C16C Canada Chile China Colombia Croatia Cyprus
## not influential 15.2 8.8 2.0 8.7 5.2 15.3
## little influential 33.0 14.3 10.5 10.1 13.5 25.6
## somewhat influential 30.1 29.2 48.9 24.7 30.5 44.8
## very influential 18.6 27.5 31.8 31.5 35.9 10.3
## extremely influential 3.2 20.2 6.8 25.0 14.8 3.9
## Total 100.1 100.0 100.0 100.0 99.9 99.9
## Count 349.0 455.0 648.0 543.0 554.0 203.0
## COUNTRY
## C16C Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 6.6 13.6 1.9 13.9 4.0
## little influential 10.0 32.0 6.8 12.1 13.2
## somewhat influential 25.5 35.3 27.0 18.9 25.2
## very influential 34.8 14.3 42.0 27.8 32.4
## extremely influential 23.1 4.8 22.3 27.3 25.2
## Total 100.0 100.0 100.0 100.0 100.0
## Count 290.0 1303.0 367.0 396.0 250.0
## COUNTRY
## C16C Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 2.9 7.4 NaN 5.7 13.8
## little influential 10.2 19.4 NaN 25.1 36.0
## somewhat influential 32.5 33.5 NaN 48.1 33.3
## very influential 39.8 24.4 NaN 16.9 14.7
## extremely influential 14.6 15.3 NaN 4.1 2.2
## Total 100.0 100.0 NaN 99.9 100.0
## Count 274.0 340.0 0 366.0 225.0
## COUNTRY
## C16C Germany Greece Hong Kong Hungary Iceland India
## not influential 5.4 16.9 10.3 3.1 7.2 4.5
## little influential 19.9 32.8 20.3 8.9 18.2 8.8
## somewhat influential 44.8 30.5 46.1 25.3 49.2 18.7
## very influential 25.3 15.6 20.1 46.4 22.7 37.2
## extremely influential 4.6 4.2 3.3 16.4 2.8 30.9
## Total 100.0 100.0 100.1 100.1 100.1 100.1
## Count 755.0 384.0 458.0 384.0 181.0 514.0
## COUNTRY
## C16C Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 6.3 6.0 13.3 10.4 2.2 1.2 11.9
## little influential 9.3 20.0 16.3 21.3 15.3 4.5 14.9
## somewhat influential 43.1 43.7 32.5 42.1 54.2 17.3 33.0
## very influential 33.2 26.0 27.2 18.5 24.6 47.3 22.2
## extremely influential 8.1 4.3 10.7 7.6 3.6 29.7 18.0
## Total 100.0 100.0 100.0 99.9 99.9 100.0 100.0
## Count 654.0 300.0 338.0 394.0 743.0 330.0 194.0
## COUNTRY
## C16C Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 4.1 1.2 1.1 2.7 3.6 6.0
## little influential 15.0 2.9 5.7 4.8 5.9 14.7
## somewhat influential 40.6 20.0 35.4 23.5 26.8 52.4
## very influential 32.9 36.5 37.3 39.2 34.5 23.6
## extremely influential 7.4 39.4 20.4 29.9 29.1 3.3
## Total 100.0 100.0 99.9 100.1 99.9 100.0
## Count 340.0 170.0 367.0 375.0 220.0 517.0
## COUNTRY
## C16C New Zealand Norway Philippines Poland Portugal
## not influential 4.5 2.5 4.5 NaN 13.3
## little influential 14.5 35.4 14.5 NaN 18.3
## somewhat influential 46.5 49.8 42.7 NaN 32.6
## very influential 26.9 10.6 31.8 NaN 28.1
## extremely influential 7.6 1.6 6.5 NaN 7.7
## Total 100.0 99.9 100.0 NaN 100.0
## Count 510.0 554.0 337.0 0 405.0
## COUNTRY
## C16C Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 3.5 23.9 3.2 3.3 13.3 4.7
## little influential 16.0 21.6 5.3 14.9 16.8 8.8
## somewhat influential 27.3 21.0 22.4 35.6 36.0 23.7
## very influential 34.0 17.8 35.9 27.9 22.7 31.2
## extremely influential 19.1 15.7 33.2 18.2 11.1 31.6
## Total 99.9 100.0 100.0 99.9 99.9 100.0
## Count 256.0 343.0 340.0 390.0 405.0 215.0
## COUNTRY
## C16C Singapore_NON-REP South Africa South Korea Spain
## not influential 1.1 5.4 1.1 8.2
## little influential 20.4 6.5 5.4 21.1
## somewhat influential 49.5 27.0 31.7 41.8
## very influential 24.7 35.0 50.1 24.5
## extremely influential 4.3 26.1 11.6 4.4
## Total 100.0 100.0 99.9 100.0
## Count 93.0 371.0 353.0 388.0
## COUNTRY
## C16C Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 11.4 3.1 7.7 NaN 0.7 0.5
## little influential 7.7 31.9 45.5 NaN 0.0 0.8
## somewhat influential 13.3 46.5 34.3 NaN 26.5 29.8
## very influential 33.2 17.5 10.5 NaN 40.4 46.4
## extremely influential 34.3 0.9 2.0 NaN 32.4 22.5
## Total 99.9 99.9 100.0 NaN 100.0 100.0
## Count 271.0 645.0 904.0 0 272.0 373.0
## COUNTRY
## C16C Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 13.7 27.8 NaN 2.7 4.3 NaN
## little influential 23.2 22.4 NaN 9.8 10.6 NaN
## somewhat influential 34.7 18.8 NaN 42.9 38.4 NaN
## very influential 25.3 17.5 NaN 32.4 36.5 NaN
## extremely influential 3.2 13.5 NaN 12.2 10.1 NaN
## Total 100.1 100.0 NaN 100.0 99.9 NaN
## Count 95.0 223.0 0 695.0 414.0 0#Competing news organizations#
colPercents(xtabs(~C16D+COUNTRY, data=wjsn))## COUNTRY
## C16D Albania Argentina Australia Austria Bangladesh
## not influential 11.6 9.8 9.1 14.3 20.1
## little influential 10.5 23.9 13.6 40.1 12.7
## somewhat influential 21.4 43.3 38.8 32.8 18.5
## very influential 37.4 18.5 33.7 11.1 23.8
## extremely influential 19.0 4.5 4.8 1.7 25.0
## Total 99.9 100.0 100.0 100.0 100.1
## Count 294.0 356.0 603.0 783.0 324.0
## COUNTRY
## C16D Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 17.5 2.2 13.1 4.8 NaN NaN
## little influential 30.3 14.4 9.3 20.5 NaN NaN
## somewhat influential 38.4 15.6 26.2 41.8 NaN NaN
## very influential 11.9 41.1 25.1 23.9 NaN NaN
## extremely influential 1.9 26.7 26.2 9.0 NaN NaN
## Total 100.0 100.0 99.9 100.0 NaN NaN
## Count 588.0 90.0 183.0 376.0 0 0
## COUNTRY
## C16D Canada Chile China Colombia Croatia Cyprus
## not influential 19.0 12.8 5.0 14.5 18.3 31.4
## little influential 26.8 19.4 16.1 16.0 23.4 10.8
## somewhat influential 35.2 27.8 46.4 29.5 27.5 34.3
## very influential 15.9 27.3 28.9 26.5 23.0 19.1
## extremely influential 3.2 12.8 3.6 13.5 7.8 4.4
## Total 100.1 100.1 100.0 100.0 100.0 100.0
## Count 347.0 454.0 646.0 539.0 552.0 204.0
## COUNTRY
## C16D Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 10.7 20.6 10.8 12.2 15.3
## little influential 21.5 32.0 14.9 18.0 19.8
## somewhat influential 40.1 34.2 37.3 24.3 31.0
## very influential 22.1 10.4 26.5 25.6 21.4
## extremely influential 5.5 2.8 10.5 20.0 12.5
## Total 99.9 100.0 100.0 100.1 100.0
## Count 289.0 1276.0 362.0 395.0 248.0
## COUNTRY
## C16D Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 18.6 12.2 NaN 4.9 8.5
## little influential 19.0 12.2 NaN 22.1 37.9
## somewhat influential 28.1 27.3 NaN 53.8 33.0
## very influential 25.5 29.9 NaN 16.7 17.9
## extremely influential 8.8 18.3 NaN 2.5 2.7
## Total 100.0 99.9 NaN 100.0 100.0
## Count 274.0 344.0 0 366.0 224.0
## COUNTRY
## C16D Germany Greece Hong Kong Hungary Iceland India
## not influential 12.3 18.8 10.5 11.0 8.9 5.2
## little influential 28.6 27.2 18.5 19.1 20.0 9.3
## somewhat influential 39.9 30.1 48.2 38.5 37.8 21.2
## very influential 16.5 18.8 19.1 23.6 23.9 35.5
## extremely influential 2.6 5.0 3.7 7.9 9.4 28.7
## Total 99.9 99.9 100.0 100.1 100.0 99.9
## Count 756.0 382.0 465.0 382.0 180.0 515.0
## COUNTRY
## C16D Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 11.7 9.7 20.1 14.0 1.1 3.3 17.8
## little influential 11.7 20.7 21.3 23.2 8.9 7.2 13.1
## somewhat influential 39.2 40.0 31.4 37.5 43.5 19.4 28.3
## very influential 29.6 24.3 21.6 20.7 37.2 45.4 25.1
## extremely influential 7.8 5.3 5.6 4.6 9.3 24.8 15.7
## Total 100.0 100.0 100.0 100.0 100.0 100.1 100.0
## Count 656.0 300.0 338.0 392.0 741.0 335.0 191.0
## COUNTRY
## C16D Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 22.1 1.8 2.5 14.7 11.3 18.1
## little influential 33.3 5.9 6.3 19.1 19.9 26.4
## somewhat influential 23.3 19.5 31.9 33.2 32.1 45.1
## very influential 15.6 37.9 43.1 26.4 24.4 8.9
## extremely influential 5.6 34.9 16.3 6.5 12.2 1.6
## Total 99.9 100.0 100.1 99.9 99.9 100.1
## Count 339.0 169.0 367.0 367.0 221.0 508.0
## COUNTRY
## C16D New Zealand Norway Philippines Poland Portugal
## not influential 8.0 7.1 5.1 NaN 10.7
## little influential 25.8 36.9 14.0 NaN 18.6
## somewhat influential 39.6 42.8 41.1 NaN 40.7
## very influential 22.7 12.4 31.0 NaN 26.3
## extremely influential 3.8 0.7 8.9 NaN 3.7
## Total 99.9 99.9 100.1 NaN 100.0
## Count 497.0 547.0 336.0 0 403.0
## COUNTRY
## C16D Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 5.9 14.6 10.7 10.5 19.4 10.4
## little influential 10.2 13.2 19.2 21.8 25.6 14.2
## somewhat influential 35.5 25.2 29.9 33.3 33.7 25.6
## very influential 33.2 26.4 27.8 23.8 14.1 30.3
## extremely influential 15.2 20.6 12.4 10.5 7.2 19.4
## Total 100.0 100.0 100.0 99.9 100.0 99.9
## Count 256.0 349.0 338.0 390.0 403.0 211.0
## COUNTRY
## C16D Singapore_NON-REP South Africa South Korea Spain
## not influential 8.6 11.3 1.1 11.6
## little influential 20.4 12.1 4.5 22.5
## somewhat influential 41.9 36.4 21.5 39.0
## very influential 21.5 28.3 57.8 21.4
## extremely influential 7.5 11.9 15.0 5.4
## Total 99.9 100.0 99.9 99.9
## Count 93.0 371.0 353.0 387.0
## COUNTRY
## C16D Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 11.4 5.8 11.3 NaN 35.4 1.7
## little influential 7.6 28.5 39.9 NaN 46.5 2.2
## somewhat influential 14.4 43.5 37.0 NaN 18.1 36.0
## very influential 33.8 21.8 10.9 NaN 0.0 38.5
## extremely influential 32.7 0.5 1.0 NaN 0.0 21.6
## Total 99.9 100.1 100.1 NaN 100.0 100.0
## Count 263.0 643.0 903.0 0 260.0 361.0
## COUNTRY
## C16D Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 28.4 19.7 NaN 5.8 13.3 NaN
## little influential 25.3 20.2 NaN 15.7 19.6 NaN
## somewhat influential 27.4 13.8 NaN 46.5 39.5 NaN
## very influential 17.9 24.8 NaN 26.5 23.5 NaN
## extremely influential 1.1 21.6 NaN 5.6 4.1 NaN
## Total 100.1 100.1 NaN 100.1 100.0 NaN
## Count 95.0 218.0 0 695.0 413.0 0#Media laws and regulation#
colPercents(xtabs(~C16E+COUNTRY, data=wjsn))## COUNTRY
## C16E Albania Argentina Australia Austria Bangladesh
## not influential 3.7 13.4 2.3 13.0 7.7
## little influential 6.1 21.1 5.1 30.7 7.4
## somewhat influential 16.3 33.1 12.0 29.9 13.6
## very influential 51.0 24.6 43.7 19.4 29.4
## extremely influential 22.8 7.7 36.9 7.0 41.8
## Total 99.9 99.9 100.0 100.0 99.9
## Count 294.0 350.0 602.0 756.0 323.0
## COUNTRY
## C16E Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 9.3 6.7 2.2 8.0 NaN NaN
## little influential 21.6 14.4 1.6 18.9 NaN NaN
## somewhat influential 26.3 16.7 11.4 40.5 NaN NaN
## very influential 28.7 30.0 23.4 20.3 NaN NaN
## extremely influential 14.0 32.2 61.4 12.3 NaN NaN
## Total 99.9 100.0 100.0 100.0 NaN NaN
## Count 578.0 90.0 184.0 375.0 0 0
## COUNTRY
## C16E Canada Chile China Colombia Croatia Cyprus
## not influential 8.0 17.0 1.4 8.1 4.9 9.9
## little influential 10.3 20.6 7.7 7.6 10.7 6.9
## somewhat influential 16.2 28.2 36.2 24.4 24.7 47.0
## very influential 36.3 23.5 41.6 32.0 39.3 4.5
## extremely influential 29.2 10.7 13.1 27.8 20.4 31.7
## Total 100.0 100.0 100.0 99.9 100.0 100.0
## Count 339.0 447.0 647.0 540.0 550.0 202.0
## COUNTRY
## C16E Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 3.1 16.9 2.5 13.9 6.2
## little influential 9.4 26.6 6.4 11.6 14.1
## somewhat influential 17.4 28.3 25.2 20.8 30.7
## very influential 28.9 19.8 39.5 24.3 30.7
## extremely influential 41.1 8.4 26.3 29.4 18.3
## Total 99.9 100.0 99.9 100.0 100.0
## Count 287.0 1265.0 357.0 395.0 241.0
## COUNTRY
## C16E Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 16.7 6.4 NaN 1.4 7.6
## little influential 19.3 6.9 NaN 9.3 21.9
## somewhat influential 28.6 19.7 NaN 13.4 30.4
## very influential 23.8 34.7 NaN 40.3 27.7
## extremely influential 11.5 32.4 NaN 35.6 12.5
## Total 99.9 100.1 NaN 100.0 100.1
## Count 269.0 346.0 0 365.0 224.0
## COUNTRY
## C16E Germany Greece Hong Kong Hungary Iceland India
## not influential 13.4 5.2 6.6 4.5 12.3 3.1
## little influential 22.6 15.0 18.6 14.2 21.6 6.7
## somewhat influential 29.9 29.1 47.3 30.3 26.9 17.3
## very influential 22.7 31.0 23.4 29.6 29.2 35.6
## extremely influential 11.4 19.7 4.2 21.4 9.9 37.3
## Total 100.0 100.0 100.1 100.0 99.9 100.0
## Count 730.0 381.0 457.0 379.0 171.0 509.0
## COUNTRY
## C16E Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 2.1 2.7 18.2 7.3 4.2 0.9 2.6
## little influential 4.6 7.7 14.3 24.4 25.2 3.3 4.6
## somewhat influential 20.7 27.3 19.5 39.0 42.2 10.8 19.6
## very influential 52.8 38.0 26.7 18.7 21.0 42.8 32.5
## extremely influential 19.8 24.3 21.3 10.6 7.3 42.2 40.7
## Total 100.0 100.0 100.0 100.0 99.9 100.0 100.0
## Count 653.0 300.0 329.0 385.0 737.0 332.0 194.0
## COUNTRY
## C16E Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 17.7 0.6 0.8 10.4 4.5 22.2
## little influential 18.9 1.2 2.7 9.8 10.0 28.2
## somewhat influential 26.1 13.5 24.3 26.2 24.0 38.2
## very influential 24.3 32.7 49.0 35.5 29.4 10.2
## extremely influential 12.9 52.0 23.2 18.0 32.1 1.2
## Total 99.9 100.0 100.0 99.9 100.0 100.0
## Count 333.0 171.0 367.0 366.0 221.0 500.0
## COUNTRY
## C16E New Zealand Norway Philippines Poland Portugal
## not influential 4.2 1.5 1.5 NaN 16.9
## little influential 6.5 8.2 5.1 NaN 21.9
## somewhat influential 22.4 31.8 25.3 NaN 34.1
## very influential 39.6 42.7 44.3 NaN 20.1
## extremely influential 27.3 15.9 23.8 NaN 7.0
## Total 100.0 100.1 100.0 NaN 100.0
## Count 505.0 548.0 336.0 0 402.0
## COUNTRY
## C16E Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 0.8 17.6 3.5 4.1 5.2 2.8
## little influential 10.2 20.2 6.5 16.7 9.4 3.3
## somewhat influential 18.0 19.3 22.1 37.2 25.7 9.8
## very influential 46.1 22.7 30.7 23.1 34.2 36.9
## extremely influential 25.0 20.2 37.2 19.0 25.5 47.2
## Total 100.1 100.0 100.0 100.1 100.0 100.0
## Count 256.0 357.0 339.0 390.0 404.0 214.0
## COUNTRY
## C16E Singapore_NON-REP South Africa South Korea Spain
## not influential 8.7 3.0 1.7 14.3
## little influential 23.9 3.8 14.4 18.5
## somewhat influential 18.5 20.3 38.0 37.0
## very influential 28.3 33.8 40.5 19.8
## extremely influential 20.7 39.2 5.4 10.3
## Total 100.1 100.1 100.0 99.9
## Count 92.0 370.0 353.0 378.0
## COUNTRY
## C16E Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 11.6 3.6 8.3 NaN 0.7 0.3
## little influential 4.5 30.0 37.4 NaN 0.7 0.0
## somewhat influential 9.4 31.7 31.9 NaN 19.9 27.4
## very influential 24.7 28.9 17.3 NaN 43.4 45.3
## extremely influential 49.8 5.7 5.0 NaN 35.3 27.1
## Total 100.0 99.9 99.9 NaN 100.0 100.1
## Count 267.0 646.0 900.0 0 272.0 369.0
## COUNTRY
## C16E Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 3.2 23.4 NaN 4.0 5.3 NaN
## little influential 7.4 18.5 NaN 9.1 3.9 NaN
## somewhat influential 16.8 8.6 NaN 24.0 17.2 NaN
## very influential 45.3 23.4 NaN 33.5 31.3 NaN
## extremely influential 27.4 26.1 NaN 29.3 42.2 NaN
## Total 100.1 100.0 NaN 99.9 99.9 NaN
## Count 95.0 222.0 0 692.0 412.0 0#Information access#
colPercents(xtabs(~C16F+COUNTRY, data=wjsn))## COUNTRY
## C16F Albania Argentina Australia Austria Bangladesh
## not influential 0.3 2.5 2.0 6.1 12.1
## little influential 5.1 3.9 1.3 12.4 8.5
## somewhat influential 18.0 20.4 19.9 30.8 24.3
## very influential 52.9 48.9 54.1 34.5 30.2
## extremely influential 23.7 24.3 22.7 16.2 24.9
## Total 100.0 100.0 100.0 100.0 100.0
## Count 295.0 358.0 599.0 772.0 305.0
## COUNTRY
## C16F Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 2.4 2.2 2.2 1.1 NaN NaN
## little influential 8.6 1.1 0.5 4.5 NaN NaN
## somewhat influential 29.7 14.4 8.8 28.7 NaN NaN
## very influential 40.7 38.9 26.4 34.8 NaN NaN
## extremely influential 18.6 43.3 62.1 30.9 NaN NaN
## Total 100.0 99.9 100.0 100.0 NaN NaN
## Count 580.0 90.0 182.0 376.0 0 0
## COUNTRY
## C16F Canada Chile China Colombia Croatia Cyprus
## not influential 4.3 8.6 1.7 7.7 1.8 1.5
## little influential 7.6 7.5 4.5 7.4 4.5 1.0
## somewhat influential 24.1 20.2 36.8 18.4 18.1 31.5
## very influential 43.6 31.2 46.1 28.7 45.3 26.1
## extremely influential 20.4 32.5 11.0 37.8 30.3 39.9
## Total 100.0 100.0 100.1 100.0 100.0 100.0
## Count 328.0 455.0 647.0 543.0 554.0 203.0
## COUNTRY
## C16F Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 0.7 13.0 2.7 15.7 2.4
## little influential 2.4 20.6 3.0 10.6 4.0
## somewhat influential 10.8 33.0 17.0 12.9 19.8
## very influential 30.4 24.1 38.9 18.4 37.9
## extremely influential 55.6 9.2 38.4 42.4 35.9
## Total 99.9 99.9 100.0 100.0 100.0
## Count 286.0 1247.0 365.0 396.0 248.0
## COUNTRY
## C16F Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 2.2 4.3 NaN 14.1 3.6
## little influential 4.7 5.7 NaN 16.1 11.7
## somewhat influential 12.4 17.0 NaN 29.1 30.5
## very influential 40.9 38.8 NaN 29.1 35.9
## extremely influential 39.8 34.2 NaN 11.6 18.4
## Total 100.0 100.0 NaN 100.0 100.1
## Count 274.0 348.0 0 361.0 223.0
## COUNTRY
## C16F Germany Greece Hong Kong Hungary Iceland India
## not influential 2.6 2.3 6.3 3.7 0.6 2.9
## little influential 7.0 5.2 14.0 4.4 3.9 4.9
## somewhat influential 27.5 21.6 46.0 23.0 13.3 15.9
## very influential 38.5 36.5 27.6 41.8 44.4 39.9
## extremely influential 24.4 34.4 6.1 27.2 37.8 36.3
## Total 100.0 100.0 100.0 100.1 100.0 99.9
## Count 745.0 384.0 457.0 383.0 180.0 509.0
## COUNTRY
## C16F Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 1.1 1.0 6.6 2.6 2.5 0.6 4.2
## little influential 4.0 3.7 6.0 7.7 13.0 3.0 8.9
## somewhat influential 28.9 23.9 25.4 37.2 45.6 14.8 24.0
## very influential 53.1 48.8 34.7 31.4 28.9 38.9 32.3
## extremely influential 12.9 22.6 27.2 21.2 10.0 42.7 30.7
## Total 100.0 100.0 99.9 100.1 100.0 100.0 100.1
## Count 653.0 301.0 334.0 392.0 730.0 337.0 192.0
## COUNTRY
## C16F Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 4.4 1.2 0.5 3.7 1.8 16.7
## little influential 5.6 1.2 3.8 4.5 3.2 20.6
## somewhat influential 20.3 16.7 21.0 14.4 16.7 43.3
## very influential 43.5 38.1 49.7 45.2 29.4 16.3
## extremely influential 26.2 42.9 24.9 32.1 48.9 3.2
## Total 100.0 100.1 99.9 99.9 100.0 100.1
## Count 340.0 168.0 366.0 374.0 221.0 504.0
## COUNTRY
## C16F New Zealand Norway Philippines Poland Portugal
## not influential 2.4 1.3 0.0 NaN 2.0
## little influential 4.2 4.4 2.1 NaN 3.2
## somewhat influential 24.8 31.9 17.3 NaN 16.6
## very influential 45.3 51.1 46.0 NaN 39.4
## extremely influential 23.2 11.3 34.6 NaN 38.9
## Total 99.9 100.0 100.0 NaN 100.1
## Count 499.0 542.0 335.0 0 404.0
## COUNTRY
## C16F Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 1.6 17.5 1.8 2.1 6.7 1.4
## little influential 10.9 19.1 0.9 10.0 5.5 2.8
## somewhat influential 22.3 21.1 15.1 32.3 22.1 13.6
## very influential 41.8 22.4 27.3 33.6 36.5 35.2
## extremely influential 23.4 19.9 54.9 22.1 29.3 46.9
## Total 100.0 100.0 100.0 100.1 100.1 99.9
## Count 256.0 361.0 337.0 390.0 403.0 213.0
## COUNTRY
## C16F Singapore_NON-REP South Africa South Korea Spain
## not influential 10.8 3.5 0.3 1.5
## little influential 20.4 3.2 1.1 3.6
## somewhat influential 25.8 16.2 20.4 17.8
## very influential 29.0 34.1 58.1 44.3
## extremely influential 14.0 43.0 20.1 32.7
## Total 100.0 100.0 100.0 99.9
## Count 93.0 370.0 353.0 388.0
## COUNTRY
## C16F Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 12.2 1.6 2.9 NaN 0.0 0.0
## little influential 5.2 7.8 11.4 NaN 1.1 0.3
## somewhat influential 4.1 27.7 34.8 NaN 22.4 24.1
## very influential 22.6 51.4 36.1 NaN 44.9 49.7
## extremely influential 55.9 11.5 14.8 NaN 31.6 25.9
## Total 100.0 100.0 100.0 NaN 100.0 100.0
## Count 270.0 642.0 897.0 0 272.0 370.0
## COUNTRY
## C16F Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 5.3 26.2 NaN 3.8 1.0 NaN
## little influential 11.6 21.7 NaN 5.3 3.6 NaN
## somewhat influential 24.2 11.8 NaN 24.5 20.0 NaN
## very influential 40.0 19.5 NaN 43.0 43.8 NaN
## extremely influential 18.9 20.8 NaN 23.3 31.6 NaN
## Total 100.0 100.0 NaN 99.9 100.0 NaN
## Count 95.0 221.0 0 677.0 411.0 0#Censorship#
colPercents(xtabs(~C16G+COUNTRY, data=wjsn))## COUNTRY
## C16G Albania Argentina Australia Austria Bangladesh
## not influential 28.9 28.2 29.5 79.7 23.8
## little influential 18.4 20.5 22.2 15.8 10.2
## somewhat influential 27.9 20.5 26.4 3.1 24.1
## very influential 17.0 19.6 14.4 0.9 17.8
## extremely influential 7.8 11.3 7.5 0.5 24.1
## Total 100.0 100.1 100.0 100.0 100.0
## Count 294.0 337.0 603.0 753.0 303.0
## COUNTRY
## C16G Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 60.4 5.6 11.5 38.6 NaN NaN
## little influential 23.3 8.9 8.8 32.2 NaN NaN
## somewhat influential 9.5 17.8 22.0 16.5 NaN NaN
## very influential 4.0 38.9 24.2 6.6 NaN NaN
## extremely influential 2.8 28.9 33.5 6.1 NaN NaN
## Total 100.0 100.1 100.0 100.0 NaN NaN
## Count 570.0 90.0 182.0 376.0 0 0
## COUNTRY
## C16G Canada Chile China Colombia Croatia Cyprus
## not influential 61.3 29.3 1.1 26.9 28.7 19.5
## little influential 22.6 23.6 5.7 17.6 23.3 8.5
## somewhat influential 8.7 20.2 31.7 23.5 20.0 37.5
## very influential 4.8 15.6 40.7 18.5 15.4 14.5
## extremely influential 2.6 11.3 20.8 13.5 12.6 20.0
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 310.0 450.0 649.0 540.0 540.0 200.0
## COUNTRY
## C16G Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 60.6 78.6 10.0 15.9 16.7
## little influential 15.8 15.0 13.4 16.9 19.6
## somewhat influential 9.7 5.2 29.2 29.5 27.9
## very influential 6.5 1.2 29.2 20.5 19.6
## extremely influential 7.5 0.1 18.1 17.2 16.2
## Total 100.1 100.1 99.9 100.0 100.0
## Count 279.0 1203.0 359.0 396.0 240.0
## COUNTRY
## C16G Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 70.8 16.2 NaN 75.1 47.4
## little influential 16.1 11.8 NaN 18.5 37.9
## somewhat influential 7.1 19.1 NaN 3.9 8.5
## very influential 4.5 20.6 NaN 1.1 2.4
## extremely influential 1.5 32.4 NaN 1.4 3.8
## Total 100.0 100.1 NaN 100.0 100.0
## Count 267.0 340.0 0 357.0 211.0
## COUNTRY
## C16G Germany Greece Hong Kong Hungary Iceland India
## not influential 75.8 34.1 11.3 23.5 56.3 12.6
## little influential 14.2 23.4 29.8 22.0 29.3 8.7
## somewhat influential 7.1 15.6 35.1 29.6 11.5 28.0
## very influential 2.3 13.4 19.0 17.5 1.1 30.4
## extremely influential 0.5 13.4 4.9 7.4 1.7 20.3
## Total 99.9 99.9 100.1 100.0 99.9 100.0
## Count 744.0 372.0 453.0 378.0 174.0 507.0
## COUNTRY
## C16G Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 7.8 31.3 24.7 38.4 43.4 2.1 25.9
## little influential 9.5 27.0 10.8 32.4 38.8 10.8 14.8
## somewhat influential 33.2 23.7 13.6 15.4 12.3 24.0 21.7
## very influential 40.0 13.0 21.4 10.4 3.3 39.8 20.1
## extremely influential 9.5 5.0 29.5 3.4 2.2 23.4 17.5
## Total 100.0 100.0 100.0 100.0 100.0 100.1 100.0
## Count 653.0 300.0 332.0 383.0 737.0 334.0 189.0
## COUNTRY
## C16G Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 73.9 2.4 2.5 20.3 30.6 61.3
## little influential 19.9 4.1 5.2 17.8 21.5 24.1
## somewhat influential 3.9 24.3 26.9 20.9 23.3 10.7
## very influential 2.1 37.3 47.3 20.9 12.8 2.2
## extremely influential 0.3 32.0 18.1 20.1 11.9 1.8
## Total 100.1 100.1 100.0 100.0 100.1 100.1
## Count 337.0 169.0 364.0 354.0 219.0 506.0
## COUNTRY
## C16G New Zealand Norway Philippines Poland Portugal
## not influential 29.4 57.8 13.6 NaN 68.9
## little influential 24.3 33.0 17.5 NaN 15.3
## somewhat influential 21.2 6.0 33.5 NaN 9.1
## very influential 16.5 2.1 24.3 NaN 3.7
## extremely influential 8.7 1.2 11.0 NaN 3.0
## Total 100.1 100.1 99.9 NaN 100.0
## Count 449.0 521.0 337.0 0 405.0
## COUNTRY
## C16G Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 6.6 28.1 35.4 22.3 25.5 14.0
## little influential 14.1 25.7 20.8 35.1 21.8 13.0
## somewhat influential 24.6 16.6 21.1 22.6 27.3 19.2
## very influential 36.7 15.4 9.5 12.8 14.0 32.6
## extremely influential 18.0 14.2 13.1 7.2 11.5 21.2
## Total 100.0 100.0 99.9 100.0 100.1 100.0
## Count 256.0 331.0 336.0 390.0 400.0 193.0
## COUNTRY
## C16G Singapore_NON-REP South Africa South Korea Spain
## not influential 7.9 33.5 12.2 42.5
## little influential 16.9 24.9 30.7 24.5
## somewhat influential 33.7 21.3 31.8 19.3
## very influential 30.3 11.4 20.2 8.2
## extremely influential 11.2 8.9 5.1 5.4
## Total 100.0 100.0 100.0 99.9
## Count 89.0 361.0 352.0 388.0
## COUNTRY
## C16G Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 15.1 63.0 61.2 NaN 0.0 0.8
## little influential 7.4 30.4 30.6 NaN 0.0 1.6
## somewhat influential 7.7 3.9 6.2 NaN 9.6 29.8
## very influential 14.0 2.3 1.5 NaN 30.9 48.2
## extremely influential 55.7 0.3 0.6 NaN 59.6 19.5
## Total 99.9 99.9 100.1 NaN 100.1 99.9
## Count 271.0 644.0 890.0 0 272.0 369.0
## COUNTRY
## C16G Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 9.5 31.4 NaN 33.5 45.2 NaN
## little influential 17.9 19.0 NaN 32.3 18.0 NaN
## somewhat influential 20.0 10.5 NaN 18.9 19.8 NaN
## very influential 27.4 19.0 NaN 10.0 10.0 NaN
## extremely influential 25.3 20.0 NaN 5.3 6.9 NaN
## Total 100.1 99.9 NaN 100.0 99.9 NaN
## Count 95.0 210.0 0 662.0 389.0 0#Government officials#
colPercents(xtabs(~C16H+COUNTRY, data=wjsn))## COUNTRY
## C16H Albania Argentina Australia Austria Bangladesh
## not influential 42.8 23.8 28.4 70.6 48.5
## little influential 20.2 28.4 26.5 23.9 20.1
## somewhat influential 21.6 30.2 33.5 4.3 15.5
## very influential 11.6 14.4 10.0 0.7 7.8
## extremely influential 3.8 3.2 1.7 0.5 8.1
## Total 100.0 100.0 100.1 100.0 100.0
## Count 292.0 341.0 603.0 762.0 309.0
## COUNTRY
## C16H Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 66.3 8.0 17.9 38.0 NaN NaN
## little influential 22.3 13.8 14.7 31.4 NaN NaN
## somewhat influential 9.3 24.1 24.5 21.0 NaN NaN
## very influential 1.9 28.7 15.8 5.9 NaN NaN
## extremely influential 0.2 25.3 27.2 3.7 NaN NaN
## Total 100.0 99.9 100.1 100.0 NaN NaN
## Count 579.0 87.0 184.0 376.0 0 0
## COUNTRY
## C16H Canada Chile China Colombia Croatia Cyprus
## not influential 57.2 39.5 4.0 32.0 47.1 45.6
## little influential 21.1 28.1 12.7 18.7 20.1 39.7
## somewhat influential 13.3 16.5 40.9 24.0 14.9 10.3
## very influential 6.6 10.7 30.3 15.7 10.1 2.9
## extremely influential 1.7 5.1 12.1 9.6 7.8 1.5
## Total 99.9 99.9 100.0 100.0 100.0 100.0
## Count 346.0 448.0 646.0 541.0 537.0 204.0
## COUNTRY
## C16H Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 63.1 45.0 16.4 22.2 18.1
## little influential 22.6 30.4 20.6 21.7 22.9
## somewhat influential 9.4 17.6 25.3 29.3 25.3
## very influential 3.8 5.5 23.4 16.9 18.1
## extremely influential 1.0 1.5 14.2 9.8 15.7
## Total 99.9 100.0 99.9 99.9 100.1
## Count 287.0 1224.0 359.0 396.0 249.0
## COUNTRY
## C16H Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 48.4 11.0 NaN 30.5 59.2
## little influential 32.2 12.5 NaN 32.7 34.9
## somewhat influential 12.8 20.1 NaN 22.2 5.0
## very influential 5.9 15.7 NaN 11.6 0.9
## extremely influential 0.7 40.7 NaN 3.0 0.0
## Total 100.0 100.0 NaN 100.0 100.0
## Count 273.0 344.0 0 361.0 218.0
## COUNTRY
## C16H Germany Greece Hong Kong Hungary Iceland India
## not influential 82.0 50.1 22.2 43.6 58.3 21.1
## little influential 13.2 24.9 38.9 26.3 26.1 17.8
## somewhat influential 3.8 13.8 26.0 18.4 12.8 30.1
## very influential 0.8 6.8 10.4 9.2 2.2 21.9
## extremely influential 0.3 4.3 2.4 2.5 0.6 9.0
## Total 100.1 99.9 99.9 100.0 100.0 99.9
## Count 744.0 369.0 450.0 358.0 180.0 511.0
## COUNTRY
## C16H Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 26.8 34.7 56.9 63.8 35.0 12.3 37.8
## little influential 23.5 28.3 18.6 26.7 43.5 26.1 18.1
## somewhat influential 32.5 26.0 14.1 5.6 16.8 29.7 25.9
## very influential 14.5 8.7 7.8 2.4 3.5 22.2 9.3
## extremely influential 2.7 2.3 2.7 1.6 1.2 9.6 8.8
## Total 100.0 100.0 100.1 100.1 100.0 99.9 99.9
## Count 656.0 300.0 334.0 378.0 740.0 333.0 193.0
## COUNTRY
## C16H Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 70.9 13.7 4.1 29.5 47.7 53.7
## little influential 21.1 16.7 7.7 20.9 22.3 24.8
## somewhat influential 5.3 27.4 33.9 26.5 21.8 17.0
## very influential 2.1 24.4 38.6 15.0 6.8 3.4
## extremely influential 0.6 17.9 15.7 8.1 1.4 1.2
## Total 100.0 100.1 100.0 100.0 100.0 100.1
## Count 337.0 168.0 363.0 359.0 220.0 505.0
## COUNTRY
## C16H New Zealand Norway Philippines Poland Portugal
## not influential 38.5 38.5 20.2 NaN 64.2
## little influential 29.5 43.7 27.0 NaN 21.2
## somewhat influential 20.4 13.7 31.2 NaN 11.0
## very influential 8.6 3.7 19.0 NaN 3.0
## extremely influential 2.9 0.4 2.7 NaN 0.5
## Total 99.9 100.0 100.1 NaN 99.9
## Count 475.0 540.0 337.0 0 400.0
## COUNTRY
## C16H Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 7.4 28.0 51.3 28.7 37.1 24.8
## little influential 13.7 24.9 21.4 32.3 21.8 20.5
## somewhat influential 23.4 15.9 18.4 20.8 24.5 22.9
## very influential 34.8 16.5 5.6 13.1 10.4 20.0
## extremely influential 20.7 14.7 3.3 5.1 6.2 11.9
## Total 100.0 100.0 100.0 100.0 100.0 100.1
## Count 256.0 346.0 337.0 390.0 404.0 210.0
## COUNTRY
## C16H Singapore_NON-REP South Africa South Korea Spain
## not influential 11.2 32.2 12.2 45.5
## little influential 19.1 24.0 33.8 28.8
## somewhat influential 36.0 25.6 31.5 17.7
## very influential 27.0 11.4 19.0 6.2
## extremely influential 6.7 6.8 3.4 1.8
## Total 100.0 100.0 99.9 100.0
## Count 89.0 367.0 352.0 389.0
## COUNTRY
## C16H Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 25.7 65.4 41.4 NaN 0.0 2.5
## little influential 10.0 28.6 44.7 NaN 22.4 3.6
## somewhat influential 13.4 4.7 10.9 NaN 50.4 30.2
## very influential 18.6 1.1 3.0 NaN 23.2 44.0
## extremely influential 32.3 0.3 0.0 NaN 4.0 19.8
## Total 100.0 100.1 100.0 NaN 100.0 100.1
## Count 269.0 644.0 901.0 0 272.0 364.0
## COUNTRY
## C16H Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 13.7 36.5 NaN 40.3 35.3 NaN
## little influential 16.8 18.7 NaN 33.8 29.0 NaN
## somewhat influential 21.1 13.8 NaN 21.1 23.8 NaN
## very influential 26.3 14.3 NaN 3.8 10.2 NaN
## extremely influential 22.1 16.7 NaN 1.0 1.7 NaN
## Total 100.0 100.0 NaN 100.0 100.0 NaN
## Count 95.0 203.0 0 678.0 411.0 0#Politicians#
colPercents(xtabs(~C16J+COUNTRY, data=wjsn))## COUNTRY
## C16J Albania Argentina Australia Austria Bangladesh
## not influential 49.7 25.1 29.0 57.4 40.2
## little influential 22.6 26.6 28.4 33.1 22.8
## somewhat influential 14.7 31.0 31.8 7.6 16.7
## very influential 8.9 14.6 8.5 1.2 10.0
## extremely influential 4.1 2.6 2.3 0.8 10.3
## Total 100.0 99.9 100.0 100.1 100.0
## Count 292.0 342.0 603.0 768.0 311.0
## COUNTRY
## C16J Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 55.7 8.9 23.9 36.2 NaN NaN
## little influential 24.0 18.9 16.3 26.9 NaN NaN
## somewhat influential 13.3 26.7 23.9 25.5 NaN NaN
## very influential 6.4 30.0 16.3 6.1 NaN NaN
## extremely influential 0.7 15.6 19.6 5.3 NaN NaN
## Total 100.1 100.1 100.0 100.0 NaN NaN
## Count 580.0 90.0 184.0 376.0 0 0
## COUNTRY
## C16J Canada Chile China Colombia Croatia Cyprus
## not influential 60.2 40.1 5.3 33.4 44.5 46.6
## little influential 21.6 27.7 19.1 19.2 19.6 30.4
## somewhat influential 12.1 16.9 36.6 23.2 15.8 19.6
## very influential 4.6 10.4 26.1 14.8 11.9 2.0
## extremely influential 1.4 5.0 12.8 9.4 8.2 1.5
## Total 99.9 100.1 99.9 100.0 100.0 100.1
## Count 347.0 444.0 639.0 542.0 537.0 204.0
## COUNTRY
## C16J Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 51.6 39.7 20.1 20.6 17.7
## little influential 23.2 28.2 20.1 19.8 25.7
## somewhat influential 15.4 21.9 27.0 32.2 22.5
## very influential 7.4 7.9 19.5 15.2 19.7
## extremely influential 2.5 2.3 13.4 12.2 14.5
## Total 100.1 100.0 100.1 100.0 100.1
## Count 285.0 1229.0 359.0 394.0 249.0
## COUNTRY
## C16J Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 54.9 14.1 NaN 41.8 55.7
## little influential 30.8 15.3 NaN 29.4 35.6
## somewhat influential 10.3 22.9 NaN 20.5 7.8
## very influential 3.3 16.8 NaN 7.5 0.9
## extremely influential 0.7 30.9 NaN 0.8 0.0
## Total 100.0 100.0 NaN 100.0 100.0
## Count 273.0 340.0 0 361.0 219.0
## COUNTRY
## C16J Germany Greece Hong Kong Hungary Iceland India
## not influential 70.1 48.9 22.9 44.1 58.9 25.1
## little influential 20.9 25.4 40.1 24.3 26.1 22.1
## somewhat influential 7.5 15.0 27.2 18.7 12.2 27.7
## very influential 1.3 6.7 7.8 8.7 1.7 17.0
## extremely influential 0.1 4.0 2.0 4.2 1.1 8.1
## Total 99.9 100.0 100.0 100.0 100.0 100.0
## Count 745.0 374.0 449.0 358.0 180.0 506.0
## COUNTRY
## C16J Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 30.1 35.7 59.5 55.2 NaN 23.1 44.8
## little influential 26.0 25.7 19.0 28.1 NaN 30.2 16.1
## somewhat influential 31.1 27.3 13.7 10.7 NaN 26.3 21.9
## very influential 11.1 8.0 5.7 4.2 NaN 16.5 9.9
## extremely influential 1.7 3.3 2.1 1.8 NaN 3.9 7.3
## Total 100.0 100.0 100.0 100.0 NaN 100.0 100.0
## Count 655.0 300.0 336.0 384.0 0 334.0 192.0
## COUNTRY
## C16J Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 71.5 23.3 5.5 29.2 53.0 51.0
## little influential 21.7 15.3 10.0 21.2 21.7 26.3
## somewhat influential 4.5 31.3 41.8 26.7 17.1 18.4
## very influential 1.8 16.0 30.7 14.2 7.4 2.8
## extremely influential 0.6 14.1 11.9 8.6 0.9 1.6
## Total 100.1 100.0 99.9 99.9 100.1 100.1
## Count 337.0 163.0 361.0 359.0 217.0 506.0
## COUNTRY
## C16J New Zealand Norway Philippines Poland Portugal
## not influential 43.6 33.9 25.5 NaN 61.3
## little influential 27.2 44.7 29.4 NaN 23.1
## somewhat influential 20.4 16.1 28.5 NaN 10.7
## very influential 6.6 4.9 14.8 NaN 4.5
## extremely influential 2.1 0.4 1.8 NaN 0.5
## Total 99.9 100.0 100.0 NaN 100.1
## Count 470.0 546.0 337.0 0 403.0
## COUNTRY
## C16J Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 10.5 24.9 55.4 32.6 35.3 29.4
## little influential 22.7 25.4 21.0 30.3 26.1 22.0
## somewhat influential 26.6 19.7 15.6 23.8 21.9 25.7
## very influential 25.0 16.7 4.2 7.4 9.7 13.1
## extremely influential 15.2 13.4 3.9 5.9 7.0 9.8
## Total 100.0 100.1 100.1 100.0 100.0 100.0
## Count 256.0 366.0 334.0 390.0 402.0 214.0
## COUNTRY
## C16J Singapore_NON-REP South Africa South Korea Spain
## not influential 14.8 34.1 14.2 28.5
## little influential 15.9 26.8 31.8 26.5
## somewhat influential 37.5 22.5 31.8 25.7
## very influential 25.0 9.5 17.9 12.6
## extremely influential 6.8 7.0 4.3 6.7
## Total 100.0 99.9 100.0 100.0
## Count 88.0 369.0 352.0 389.0
## COUNTRY
## C16J Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 27.8 44.5 36.0 NaN 19.1 3.9
## little influential 6.4 40.3 44.9 NaN 22.4 4.4
## somewhat influential 18.0 12.8 15.1 NaN 39.3 29.3
## very influential 17.7 1.9 3.7 NaN 15.4 37.3
## extremely influential 30.1 0.5 0.3 NaN 3.7 25.1
## Total 100.0 100.0 100.0 NaN 99.9 100.0
## Count 266.0 642.0 900.0 0 272.0 362.0
## COUNTRY
## C16J Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 14.9 34.2 NaN 40.2 43.2 NaN
## little influential 18.1 20.9 NaN 31.9 27.9 NaN
## somewhat influential 21.3 13.8 NaN 21.9 21.1 NaN
## very influential 25.5 17.3 NaN 5.3 6.6 NaN
## extremely influential 20.2 13.8 NaN 0.7 1.2 NaN
## Total 100.0 100.0 NaN 100.0 100.0 NaN
## Count 94.0 196.0 0 681.0 412.0 0#Pressure groups#
colPercents(xtabs(~C16K+COUNTRY, data=wjsn))## COUNTRY
## C16K Albania Argentina Australia Austria Bangladesh
## not influential 60.0 35.3 30.4 41.4 42.8
## little influential 26.4 28.7 32.4 43.9 20.3
## somewhat influential 11.2 27.2 31.9 12.5 17.0
## very influential 2.4 7.2 5.0 1.9 10.6
## extremely influential 0.0 1.5 0.3 0.3 9.3
## Total 100.0 99.9 100.0 100.0 100.0
## Count 295.0 334.0 602.0 770.0 311.0
## COUNTRY
## C16K Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 50.4 9.0 30.8 39.1 NaN NaN
## little influential 25.5 22.5 23.1 34.3 NaN NaN
## somewhat influential 17.4 31.5 24.2 18.4 NaN NaN
## very influential 5.5 24.7 15.9 4.8 NaN NaN
## extremely influential 1.2 12.4 6.0 3.5 NaN NaN
## Total 100.0 100.1 100.0 100.1 NaN NaN
## Count 581.0 89.0 182.0 376.0 0 0
## COUNTRY
## C16K Canada Chile China Colombia Croatia Cyprus
## not influential 62.6 41.8 10.4 32.8 50.6 47.3
## little influential 23.5 23.4 40.6 16.9 20.8 41.9
## somewhat influential 11.0 17.8 38.0 21.9 11.5 8.4
## very influential 2.6 10.6 9.3 16.3 9.4 0.5
## extremely influential 0.3 6.5 1.7 12.2 7.7 2.0
## Total 100.0 100.1 100.0 100.1 100.0 100.1
## Count 345.0 445.0 635.0 534.0 530.0 203.0
## COUNTRY
## C16K Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 67.1 35.4 23.9 26.5 24.0
## little influential 22.4 31.8 22.0 21.5 22.7
## somewhat influential 7.7 22.5 22.3 24.0 25.6
## very influential 2.1 7.9 20.8 17.2 20.2
## extremely influential 0.7 2.3 11.0 10.9 7.4
## Total 100.0 99.9 100.0 100.1 99.9
## Count 286.0 1256.0 355.0 396.0 242.0
## COUNTRY
## C16K Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 50.2 22.6 NaN 43.0 61.9
## little influential 27.8 18.8 NaN 30.9 33.9
## somewhat influential 14.7 27.6 NaN 22.3 3.2
## very influential 6.2 12.6 NaN 3.3 0.9
## extremely influential 1.1 18.2 NaN 0.6 0.0
## Total 100.0 99.8 NaN 100.1 99.9
## Count 273.0 340.0 0 363.0 218.0
## COUNTRY
## C16K Germany Greece Hong Kong Hungary Iceland India
## not influential 44.1 48.6 22.5 49.9 54.2 32.7
## little influential 31.8 25.7 42.9 23.2 31.3 22.6
## somewhat influential 18.4 16.2 25.4 16.5 12.8 27.9
## very influential 5.2 6.5 8.1 7.8 1.7 11.1
## extremely influential 0.5 3.0 1.1 2.5 0.0 5.7
## Total 100.0 100.0 100.0 99.9 100.0 100.0
## Count 751.0 370.0 445.0 357.0 179.0 505.0
## COUNTRY
## C16K Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 30.0 35.1 58.0 54.4 36.6 25.0 44.0
## little influential 25.5 28.1 21.1 29.7 48.2 32.5 19.7
## somewhat influential 32.9 27.1 15.8 9.1 13.1 25.3 22.8
## very influential 10.2 8.0 3.3 4.2 1.5 13.9 9.3
## extremely influential 1.4 1.7 1.8 2.6 0.7 3.3 4.1
## Total 100.0 100.0 100.0 100.0 100.1 100.0 99.9
## Count 654.0 299.0 336.0 384.0 741.0 332.0 193.0
## COUNTRY
## C16K Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 70.6 28.0 5.0 18.9 55.5 36.3
## little influential 23.3 14.3 13.8 23.1 21.6 28.2
## somewhat influential 4.8 36.9 45.0 35.1 15.1 31.4
## very influential 0.6 14.9 28.7 16.7 6.0 3.3
## extremely influential 0.6 6.0 7.5 6.1 1.8 0.8
## Total 99.9 100.1 100.0 99.9 100.0 100.0
## Count 330.0 168.0 362.0 359.0 218.0 510.0
## COUNTRY
## C16K New Zealand Norway Philippines Poland Portugal
## not influential 40.3 35.4 25.8 NaN 59.3
## little influential 32.8 49.4 35.0 NaN 25.7
## somewhat influential 21.8 13.4 30.3 NaN 10.6
## very influential 3.8 1.5 7.7 NaN 3.5
## extremely influential 1.3 0.4 1.2 NaN 1.0
## Total 100.0 100.1 100.0 NaN 100.1
## Count 476.0 539.0 337.0 0 405.0
## COUNTRY
## C16K Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 9.8 30.3 55.5 26.4 50.6 18.0
## little influential 28.9 24.6 22.0 37.9 24.8 19.9
## somewhat influential 35.5 16.5 14.5 25.1 14.8 27.5
## very influential 19.1 16.5 4.7 8.5 5.8 24.2
## extremely influential 6.6 12.2 3.3 2.1 4.0 10.4
## Total 99.9 100.1 100.0 100.0 100.0 100.0
## Count 256.0 370.0 337.0 390.0 399.0 211.0
## COUNTRY
## C16K Singapore_NON-REP South Africa South Korea Spain
## not influential 10.3 28.9 13.7 34.3
## little influential 26.4 29.4 35.1 27.1
## somewhat influential 27.6 30.8 32.3 25.0
## very influential 27.6 6.5 15.1 10.1
## extremely influential 8.0 4.4 3.7 3.6
## Total 99.9 100.0 99.9 100.1
## Count 87.0 367.0 350.0 388.0
## COUNTRY
## C16K Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 28.5 37.8 27.6 NaN 19.5 3.9
## little influential 11.1 50.1 50.1 NaN 34.2 5.0
## somewhat influential 10.4 10.4 17.9 NaN 35.3 31.6
## very influential 18.5 1.4 4.0 NaN 8.5 39.6
## extremely influential 31.5 0.3 0.4 NaN 2.6 19.9
## Total 100.0 100.0 100.0 NaN 100.1 100.0
## Count 270.0 643.0 896.0 0 272.0 361.0
## COUNTRY
## C16K Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 15.2 32.0 NaN 36.9 53.3 NaN
## little influential 18.5 17.0 NaN 31.8 31.4 NaN
## somewhat influential 29.3 18.0 NaN 26.8 12.9 NaN
## very influential 22.8 15.5 NaN 3.8 2.2 NaN
## extremely influential 14.1 17.5 NaN 0.7 0.2 NaN
## Total 99.9 100.0 NaN 100.0 100.0 NaN
## Count 92.0 200.0 0 686.0 411.0 0#Business people#
colPercents(xtabs(~C16L+COUNTRY, data=wjsn))## COUNTRY
## C16L Albania Argentina Australia Austria Bangladesh
## not influential 49.5 35.9 24.8 51.6 50.2
## little influential 24.6 29.3 31.9 35.2 17.2
## somewhat influential 17.1 27.0 34.1 10.3 16.5
## very influential 7.2 7.0 8.1 2.7 9.2
## extremely influential 1.7 0.9 1.2 0.3 6.9
## Total 100.1 100.1 100.1 100.1 100.0
## Count 293.0 345.0 602.0 770.0 303.0
## COUNTRY
## C16L Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 59.1 13.3 25.8 34.0 NaN NaN
## little influential 22.2 21.1 19.8 32.2 NaN NaN
## somewhat influential 10.8 33.3 23.6 23.7 NaN NaN
## very influential 5.5 27.8 18.1 5.9 NaN NaN
## extremely influential 2.4 4.4 12.6 4.3 NaN NaN
## Total 100.0 99.9 99.9 100.1 NaN NaN
## Count 585.0 90.0 182.0 376.0 0 0
## COUNTRY
## C16L Canada Chile China Colombia Croatia Cyprus
## not influential 57.0 37.7 10.2 27.4 42.0 54.2
## little influential 26.9 23.9 40.3 18.8 21.3 35.0
## somewhat influential 11.7 19.9 36.6 25.8 16.2 7.4
## very influential 4.0 12.2 10.8 16.8 11.6 1.0
## extremely influential 0.3 6.3 2.0 11.2 9.0 2.5
## Total 99.9 100.0 99.9 100.0 100.1 100.1
## Count 349.0 443.0 636.0 543.0 536.0 203.0
## COUNTRY
## C16L Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 60.5 48.3 26.4 37.9 22.0
## little influential 21.7 27.5 25.9 17.9 21.1
## somewhat influential 11.9 17.0 20.2 18.9 24.0
## very influential 4.5 5.5 17.9 11.9 22.0
## extremely influential 1.4 1.8 9.7 13.4 11.0
## Total 100.0 100.1 100.1 100.0 100.1
## Count 286.0 1238.0 352.0 396.0 246.0
## COUNTRY
## C16L Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 54.6 22.9 NaN 42.0 68.2
## little influential 29.2 22.6 NaN 37.9 25.8
## somewhat influential 11.8 25.8 NaN 16.2 3.2
## very influential 3.3 14.4 NaN 3.6 1.4
## extremely influential 1.1 14.4 NaN 0.3 1.4
## Total 100.0 100.1 NaN 100.0 100.0
## Count 271.0 341.0 0 364.0 217.0
## COUNTRY
## C16L Germany Greece Hong Kong Hungary Iceland India
## not influential 49.7 48.9 24.0 45.8 57.5 34.1
## little influential 29.0 26.2 41.3 24.4 27.9 19.8
## somewhat influential 15.3 12.4 26.3 19.7 10.1 27.7
## very influential 5.2 8.1 7.0 8.6 3.9 11.5
## extremely influential 0.8 4.3 1.3 1.4 0.6 6.9
## Total 100.0 99.9 99.9 99.9 100.0 100.0
## Count 752.0 370.0 445.0 360.0 179.0 505.0
## COUNTRY
## C16L Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 32.5 33.0 65.2 57.7 NaN 19.3 46.6
## little influential 28.0 32.7 17.6 28.7 NaN 27.1 24.1
## somewhat influential 30.5 26.3 11.3 8.9 NaN 27.1 17.8
## very influential 7.4 6.7 5.4 3.9 NaN 19.9 6.3
## extremely influential 1.6 1.3 0.6 0.8 NaN 6.6 5.2
## Total 100.0 100.0 100.1 100.0 NaN 100.0 100.0
## Count 633.0 300.0 336.0 383.0 0 332.0 191.0
## COUNTRY
## C16L Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 62.2 17.8 8.0 29.4 51.8 42.9
## little influential 29.2 14.8 15.4 25.3 27.1 25.4
## somewhat influential 6.2 36.1 43.3 28.6 11.9 24.2
## very influential 1.2 18.3 25.6 11.4 9.2 5.5
## extremely influential 1.2 13.0 7.7 5.3 0.0 2.0
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 339.0 169.0 363.0 360.0 218.0 508.0
## COUNTRY
## C16L New Zealand Norway Philippines Poland Portugal
## not influential 36.8 45.6 23.1 NaN 60.2
## little influential 29.3 44.7 31.8 NaN 23.1
## somewhat influential 24.3 7.4 32.3 NaN 11.9
## very influential 7.5 2.0 10.7 NaN 4.0
## extremely influential 2.1 0.2 2.1 NaN 0.7
## Total 100.0 99.9 100.0 NaN 99.9
## Count 478.0 539.0 337.0 0 402.0
## COUNTRY
## C16L Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 19.9 23.2 53.8 31.0 39.7 20.2
## little influential 22.3 23.7 26.0 33.1 28.3 24.9
## somewhat influential 34.4 21.8 14.5 23.6 21.1 23.9
## very influential 15.2 18.6 3.3 10.8 6.9 22.1
## extremely influential 8.2 12.7 2.4 1.5 4.0 8.9
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 256.0 371.0 331.0 390.0 403.0 213.0
## COUNTRY
## C16L Singapore_NON-REP South Africa South Korea Spain
## not influential 11.1 21.5 11.1 29.8
## little influential 26.7 24.2 30.8 26.7
## somewhat influential 37.8 33.2 33.6 23.9
## very influential 18.9 12.5 20.8 16.2
## extremely influential 5.6 8.7 3.7 3.3
## Total 100.1 100.1 100.0 99.9
## Count 90.0 368.0 351.0 389.0
## COUNTRY
## C16L Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 32.6 37.8 32.5 NaN 25.2 3.8
## little influential 7.5 48.5 50.6 NaN 41.5 4.4
## somewhat influential 7.9 12.1 13.1 NaN 33.0 30.6
## very influential 19.5 1.4 3.4 NaN 0.4 37.4
## extremely influential 32.6 0.2 0.3 NaN 0.0 23.8
## Total 100.1 100.0 99.9 NaN 100.1 100.0
## Count 267.0 643.0 899.0 0 270.0 366.0
## COUNTRY
## C16L Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 28.3 20.1 NaN 28.1 36.8 NaN
## little influential 19.6 16.1 NaN 30.8 33.7 NaN
## somewhat influential 27.2 24.6 NaN 25.9 23.7 NaN
## very influential 18.5 18.1 NaN 11.3 5.3 NaN
## extremely influential 6.5 21.1 NaN 3.9 0.5 NaN
## Total 100.1 100.0 NaN 100.0 100.0 NaN
## Count 92.0 199.0 0 688.0 413.0 0#Public relations#
colPercents(xtabs(~C16M+COUNTRY, data=wjsn))## COUNTRY
## C16M Albania Argentina Australia Austria Bangladesh
## not influential 30.7 20.7 19.5 27.7 40.8
## little influential 24.6 31.4 27.0 45.4 22.2
## somewhat influential 29.7 30.0 31.7 22.0 23.2
## very influential 12.6 14.1 19.5 4.3 7.1
## extremely influential 2.4 3.7 2.2 0.6 6.8
## Total 100.0 99.9 99.9 100.0 100.1
## Count 293.0 347.0 599.0 773.0 311.0
## COUNTRY
## C16M Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 36.2 10.3 16.8 30.9 NaN NaN
## little influential 32.8 20.7 17.9 39.9 NaN NaN
## somewhat influential 20.3 28.7 25.0 21.8 NaN NaN
## very influential 8.8 19.5 22.8 5.3 NaN NaN
## extremely influential 1.9 20.7 17.4 2.1 NaN NaN
## Total 100.0 99.9 99.9 100.0 NaN NaN
## Count 580.0 87.0 184.0 376.0 0 0
## COUNTRY
## C16M Canada Chile China Colombia Croatia Cyprus
## not influential 43.6 28.2 5.9 18.6 29.9 30.5
## little influential 31.6 20.3 27.1 12.3 26.4 36.0
## somewhat influential 18.5 25.7 47.1 28.5 23.5 25.1
## very influential 6.3 15.0 16.9 22.7 11.1 5.4
## extremely influential 0.0 10.7 3.0 17.9 9.1 3.0
## Total 100.0 99.9 100.0 100.0 100.0 100.0
## Count 351.0 439.0 639.0 543.0 541.0 203.0
## COUNTRY
## C16M Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 35.4 25.7 15.0 26.0 14.2
## little influential 30.2 37.3 18.3 15.7 15.4
## somewhat influential 28.1 27.9 27.1 25.3 30.1
## very influential 5.3 6.7 25.2 13.6 24.8
## extremely influential 1.1 2.4 14.4 19.4 15.4
## Total 100.1 100.0 100.0 100.0 99.9
## Count 285.0 1260.0 361.0 396.0 246.0
## COUNTRY
## C16M Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 27.7 12.4 NaN 26.2 42.9
## little influential 33.2 18.6 NaN 47.1 39.3
## somewhat influential 26.3 34.6 NaN 21.7 13.7
## very influential 11.3 21.3 NaN 3.9 3.2
## extremely influential 1.5 13.0 NaN 1.1 0.9
## Total 100.0 99.9 NaN 100.0 100.0
## Count 274.0 338.0 0 359.0 219.0
## COUNTRY
## C16M Germany Greece Hong Kong Hungary Iceland India
## not influential 25.4 32.3 22.1 14.6 43.6 14.7
## little influential 35.6 29.9 36.3 16.5 36.3 16.8
## somewhat influential 26.4 20.1 30.5 32.4 16.2 24.1
## very influential 9.9 11.9 9.7 30.1 3.4 24.1
## extremely influential 2.6 5.8 1.4 6.4 0.6 20.4
## Total 99.9 100.0 100.0 100.0 100.1 100.1
## Count 755.0 378.0 443.0 376.0 179.0 511.0
## COUNTRY
## C16M Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 30.4 21.5 32.4 22.1 19.3 15.6 30.7
## little influential 24.5 36.9 27.1 28.5 43.8 17.7 24.5
## somewhat influential 30.8 32.6 23.6 26.7 30.7 29.0 21.9
## very influential 12.2 7.7 14.5 14.1 5.3 28.4 15.1
## extremely influential 2.2 1.3 2.4 8.5 1.0 9.3 7.8
## Total 100.1 100.0 100.0 99.9 100.1 100.0 100.0
## Count 649.0 298.0 339.0 389.0 736.0 334.0 192.0
## COUNTRY
## C16M Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 33.4 7.1 4.4 16.3 29.7 23.9
## little influential 30.2 17.9 14.0 17.9 26.5 28.6
## somewhat influential 27.2 33.9 36.4 32.5 27.4 34.6
## very influential 7.7 25.0 35.3 21.7 11.0 10.3
## extremely influential 1.5 16.1 9.9 11.7 5.5 2.5
## Total 100.0 100.0 100.0 100.1 100.1 99.9
## Count 338.0 168.0 365.0 369.0 219.0 514.0
## COUNTRY
## C16M New Zealand Norway Philippines Poland Portugal
## not influential 27.2 33.6 22.0 NaN 44.7
## little influential 33.7 48.9 35.1 NaN 33.1
## somewhat influential 28.0 14.7 29.5 NaN 17.4
## very influential 7.9 2.2 11.9 NaN 4.8
## extremely influential 3.2 0.6 1.5 NaN 0.0
## Total 100.0 100.0 100.0 NaN 100.0
## Count 496.0 538.0 336.0 0 396.0
## COUNTRY
## C16M Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 10.9 26.5 28.6 17.7 24.4 12.4
## little influential 22.3 23.2 24.4 32.1 24.6 13.8
## somewhat influential 31.6 21.9 29.5 30.0 31.1 22.9
## very influential 22.3 15.0 11.1 15.1 13.2 32.9
## extremely influential 12.9 13.4 6.3 5.1 6.7 18.1
## Total 100.0 100.0 99.9 100.0 100.0 100.1
## Count 256.0 366.0 332.0 390.0 402.0 210.0
## COUNTRY
## C16M Singapore_NON-REP South Africa South Korea Spain
## not influential 10.8 16.1 7.1 27.1
## little influential 24.7 23.7 34.1 31.2
## somewhat influential 34.4 32.2 41.2 27.8
## very influential 25.8 15.5 14.8 11.1
## extremely influential 4.3 12.5 2.8 2.8
## Total 100.0 100.0 100.0 100.0
## Count 93.0 367.0 352.0 388.0
## COUNTRY
## C16M Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 39.6 32.1 19.5 NaN 58.7 3.3
## little influential 10.8 54.3 47.3 NaN 31.6 4.6
## somewhat influential 9.3 10.7 24.4 NaN 7.8 32.0
## very influential 15.3 2.3 7.9 NaN 1.9 39.3
## extremely influential 25.0 0.6 1.0 NaN 0.0 20.9
## Total 100.0 100.0 100.1 NaN 100.0 100.1
## Count 268.0 645.0 899.0 0 269.0 369.0
## COUNTRY
## C16M Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 23.9 21.0 NaN 15.8 34.4 NaN
## little influential 22.8 21.5 NaN 28.1 36.1 NaN
## somewhat influential 42.4 15.9 NaN 36.9 24.9 NaN
## very influential 8.7 25.2 NaN 16.2 4.1 NaN
## extremely influential 2.2 16.4 NaN 3.0 0.5 NaN
## Total 100.0 100.0 NaN 100.0 100.0 NaN
## Count 92.0 214.0 0 691.0 413.0 0#Relationships with news sources#
colPercents(xtabs(~C16N+COUNTRY, data=wjsn))## COUNTRY
## C16N Albania Argentina Australia Austria Bangladesh
## not influential 22.7 7.5 7.3 15.5 27.8
## little influential 22.0 10.3 9.8 25.7 21.1
## somewhat influential 32.2 34.4 24.5 30.8 26.2
## very influential 18.6 37.7 47.1 21.7 11.0
## extremely influential 4.4 10.1 11.2 6.2 13.9
## Total 99.9 100.0 99.9 99.9 100.0
## Count 295.0 358.0 599.0 769.0 317.0
## COUNTRY
## C16N Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## not influential 15.0 6.8 10.9 6.6 NaN NaN
## little influential 18.6 15.9 10.9 15.4 NaN NaN
## somewhat influential 37.1 29.5 20.8 35.1 NaN NaN
## very influential 23.2 20.5 21.3 26.6 NaN NaN
## extremely influential 6.1 27.3 36.1 16.2 NaN NaN
## Total 100.0 100.0 100.0 99.9 NaN NaN
## Count 587.0 88.0 183.0 376.0 0 0
## COUNTRY
## C16N Canada Chile China Colombia Croatia Cyprus
## not influential 9.2 17.3 5.4 9.4 13.3 5.4
## little influential 18.9 12.1 13.2 12.0 15.5 15.3
## somewhat influential 33.1 25.8 46.4 19.9 26.8 36.9
## very influential 29.0 24.0 28.2 29.9 28.8 25.1
## extremely influential 9.8 20.7 6.7 28.8 15.5 17.2
## Total 100.0 99.9 99.9 100.0 99.9 99.9
## Count 338.0 445.0 386.0 542.0 541.0 203.0
## COUNTRY
## C16N Czech Republic Denmark Ecuador Egypt El Salvador
## not influential 9.5 7.5 15.5 18.2 6.4
## little influential 10.2 16.3 14.4 10.1 13.2
## somewhat influential 27.7 32.5 24.4 17.5 27.2
## very influential 33.3 29.9 29.1 22.3 29.2
## extremely influential 19.3 13.8 16.6 31.9 24.0
## Total 100.0 100.0 100.0 100.0 100.0
## Count 285.0 1286.0 361.0 395.0 250.0
## COUNTRY
## C16N Estonia Ethiopia Fiji Finland France_NON-REP
## not influential 6.2 10.9 NaN 6.8 13.6
## little influential 6.6 13.8 NaN 22.2 27.1
## somewhat influential 27.1 29.9 NaN 37.5 36.7
## very influential 39.6 29.9 NaN 25.2 16.3
## extremely influential 20.5 15.5 NaN 8.2 6.3
## Total 100.0 100.0 NaN 99.9 100.0
## Count 273.0 341.0 0 365.0 221.0
## COUNTRY
## C16N Germany Greece Hong Kong Hungary Iceland India
## not influential 10.8 14.6 12.5 10.1 8.0 6.8
## little influential 18.4 18.8 21.3 11.7 16.6 8.9
## somewhat influential 32.7 25.4 43.6 28.8 27.4 26.4
## very influential 30.4 24.9 19.3 32.8 28.6 29.3
## extremely influential 7.8 16.4 3.3 16.5 19.4 28.5
## Total 100.1 100.1 100.0 99.9 100.0 99.9
## Count 744.0 378.0 456.0 375.0 175.0 515.0
## COUNTRY
## C16N Indonesia Ireland Israel Italy Japan Kenya Kosovo
## not influential 23.9 5.7 10.4 4.6 NaN 6.0 28.0
## little influential 22.8 11.5 14.8 10.5 NaN 9.9 15.5
## somewhat influential 34.1 36.8 28.2 36.9 NaN 21.9 26.4
## very influential 17.3 31.8 29.7 25.9 NaN 41.4 21.2
## extremely influential 2.0 14.2 16.9 22.1 NaN 20.7 8.8
## Total 100.1 100.0 100.0 100.0 NaN 99.9 99.9
## Count 637.0 296.0 337.0 390.0 0 333.0 193.0
## COUNTRY
## C16N Latvia Malawi Malaysia Mexico Moldova Netherlands
## not influential 10.7 3.1 1.7 8.4 8.2 17.4
## little influential 19.5 13.6 6.7 12.9 11.8 17.6
## somewhat influential 30.2 27.2 34.3 22.9 34.5 39.3
## very influential 27.2 30.9 40.4 32.9 25.9 21.5
## extremely influential 12.4 25.3 17.0 22.9 19.5 4.3
## Total 100.0 100.1 100.1 100.0 99.9 100.1
## Count 338.0 162.0 359.0 371.0 220.0 517.0
## COUNTRY
## C16N New Zealand Norway Philippines Poland Portugal
## not influential 5.0 12.6 6.0 NaN 7.4
## little influential 14.3 28.6 21.0 NaN 11.7
## somewhat influential 31.0 40.9 37.1 NaN 33.0
## very influential 33.9 14.9 27.5 NaN 31.5
## extremely influential 15.7 3.0 8.4 NaN 16.4
## Total 99.9 100.0 100.0 NaN 100.0
## Count 496.0 531.0 334.0 0 403.0
## COUNTRY
## C16N Oman Qatar Romania Russia Serbia Sierra Leone
## not influential 2.7 16.4 10.4 6.2 16.3 12.3
## little influential 12.5 13.0 11.9 20.5 19.1 15.2
## somewhat influential 30.1 24.3 28.3 33.1 32.9 23.7
## very influential 36.3 23.4 27.4 25.4 21.0 26.1
## extremely influential 18.4 22.9 22.0 14.9 10.6 22.7
## Total 100.0 100.0 100.0 100.1 99.9 100.0
## Count 256.0 354.0 336.0 390.0 404.0 211.0
## COUNTRY
## C16N Singapore_NON-REP South Africa South Korea Spain
## not influential 2.2 5.1 0.3 3.1
## little influential 25.3 6.2 9.1 8.0
## somewhat influential 39.6 24.6 37.2 33.8
## very influential 28.6 30.0 41.5 35.8
## extremely influential 4.4 34.1 11.9 19.3
## Total 100.1 100.0 100.0 100.0
## Count 91.0 370.0 352.0 388.0
## COUNTRY
## C16N Sudan Sweden Switzerland Taiwan Tanzania Thailand
## not influential 18.0 12.3 8.7 NaN 2.2 1.6
## little influential 7.1 27.5 29.0 NaN 20.3 3.2
## somewhat influential 9.4 35.1 35.1 NaN 38.4 31.9
## very influential 27.3 21.1 21.7 NaN 25.8 41.8
## extremely influential 38.2 4.0 5.6 NaN 13.3 21.4
## Total 100.0 100.0 100.1 NaN 100.0 99.9
## Count 267.0 644.0 898.0 0 271.0 373.0
## COUNTRY
## C16N Turkey_NON-REP UAE Uganda UK USA Zambia
## not influential 7.6 33.2 NaN 8.8 6.1 NaN
## little influential 23.9 25.0 NaN 14.9 18.7 NaN
## somewhat influential 47.8 10.2 NaN 33.0 32.5 NaN
## very influential 17.4 14.3 NaN 31.7 33.0 NaN
## extremely influential 3.3 17.3 NaN 11.4 9.7 NaN
## Total 100.0 100.0 NaN 99.8 100.0 NaN
## Count 92.0 196.0 0 690.0 412.0 0#How many years have you been working in journalism? #
aggregate(C17~COUNTRY, wjsn, mean)## COUNTRY C17
## 1 Albania 9.361775
## 2 Argentina 13.828652
## 3 Australia 14.452893
## 4 Austria 17.936306
## 5 Bangladesh 11.556231
## 6 Belgium 12.640545
## 7 Bhutan 4.573034
## 8 Botswana 8.843750
## 9 Brazil 11.611702
## 10 Canada 18.877493
## 11 Chile 8.462322
## 12 China 9.013910
## 13 Colombia 11.169065
## 14 Croatia 19.732727
## 15 Cyprus 11.848039
## 16 Czech Republic 10.787986
## 17 Denmark 18.406687
## 18 Ecuador 10.040000
## 19 Egypt 12.000000
## 20 Estonia 13.540146
## 21 Ethiopia 5.189024
## 22 Finland 17.273224
## 23 France_NON-REP 11.835616
## 24 Germany 19.519737
## 25 Hong Kong 7.313725
## 26 Hungary 8.884211
## 27 Iceland 11.994220
## 28 India 11.041485
## 29 Indonesia 8.484018
## 30 Ireland 15.251701
## 31 Israel 15.466276
## 32 Italy 16.838384
## 33 Japan 16.943560
## 34 Kenya 6.159744
## 35 Kosovo 7.511905
## 36 Latvia 16.288235
## 37 Malawi 6.447761
## 38 Malaysia 9.568966
## 39 Moldova 7.909091
## 40 Netherlands 18.727969
## 41 New Zealand 17.003976
## 42 Norway 16.692790
## 43 Philippines 14.101190
## 44 Portugal 14.651852
## 45 Oman 12.599119
## 46 Romania 7.809384
## 47 Russia 11.379487
## 48 Serbia 15.992537
## 49 Sierra Leone 5.789954
## 50 Singapore_NON-REP 11.419355
## 51 South Africa 13.649596
## 52 South Korea 11.301994
## 53 Spain 15.907692
## 54 Sudan 11.405204
## 55 Switzerland 14.621562
## 56 Tanzania 6.799257
## 57 Thailand 7.508824
## 58 Turkey_NON-REP 9.311111
## 59 UK 18.525473
## 60 USA 22.739130#The importance of some influences on journalism may have changed over time. Please tell me to what extent these influences have become stronger or weaker during the past five years in [add country]#
#Journalism education#
colPercents(xtabs(~C18A+COUNTRY, data=wjsn))## COUNTRY
## C18A Albania Argentina Australia Austria Bangladesh
## weakened a lot 5.6 10.7 6.7 4.9 2.6
## somewhat weakened 22.9 16.2 21.4 9.8 6.0
## did not change 19.2 15.8 38.2 20.1 14.6
## somewhat strengthened 40.7 30.9 26.2 46.0 25.8
## strengthened a lot 11.7 26.5 7.5 19.2 51.1
## Total 100.1 100.1 100.0 100.0 100.1
## Count 214.0 291.0 416.0 672.0 233.0
## COUNTRY
## C18A Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 3.5 2.0 4.5 7.0 NaN NaN
## somewhat weakened 11.7 0.0 3.6 24.8 NaN NaN
## did not change 36.4 18.4 7.2 31.4 NaN NaN
## somewhat strengthened 36.7 26.5 34.2 21.7 NaN NaN
## strengthened a lot 11.7 53.1 50.5 15.1 NaN NaN
## Total 100.0 100.0 100.0 100.0 NaN NaN
## Count 368.0 49.0 111.0 258.0 0 0
## COUNTRY
## C18A Canada Chile China Colombia Croatia Cyprus
## weakened a lot 3.4 20.3 10.3 14.8 16.3 12.8
## somewhat weakened 19.5 23.2 18.4 17.4 26.5 6.8
## did not change 41.2 27.5 27.2 25.1 36.1 10.1
## somewhat strengthened 26.2 16.9 32.8 19.7 15.5 29.1
## strengthened a lot 9.7 12.1 11.2 23.1 5.6 41.2
## Total 100.0 100.0 99.9 100.1 100.0 100.0
## Count 267.0 207.0 445.0 351.0 521.0 148.0
## COUNTRY
## C18A Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 6.2 NaN 2.3 5.4 6.8
## somewhat weakened 23.3 NaN 3.2 5.9 8.7
## did not change 49.0 NaN 7.8 36.7 17.5
## somewhat strengthened 17.1 NaN 28.6 23.1 24.3
## strengthened a lot 4.3 NaN 58.1 29.0 42.7
## Total 99.9 NaN 100.0 100.1 100.0
## Count 210.0 0 217.0 221.0 103.0
## COUNTRY
## C18A Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 11.2 3.7 NaN 1.7 4.5
## somewhat weakened 28.2 6.6 NaN 14.6 9.8
## did not change 44.7 8.8 NaN 39.5 18.9
## somewhat strengthened 14.6 41.9 NaN 36.2 42.4
## strengthened a lot 1.5 39.0 NaN 8.0 24.2
## Total 100.2 100.0 NaN 100.0 99.8
## Count 206.0 136.0 0 301.0 132.0
## COUNTRY
## C18A Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 6.4 20.1 5.6 13.4 1.8 5.6
## somewhat weakened 23.8 11.4 15.6 18.7 0.9 6.8
## did not change 38.0 20.1 37.2 26.9 26.1 13.3
## somewhat strengthened 22.9 28.4 39.4 29.9 55.9 25.6
## strengthened a lot 8.9 20.1 2.2 11.2 15.3 48.8
## Total 100.0 100.1 100.0 100.1 100.0 100.1
## Count 606.0 324.0 180.0 134.0 111.0 324.0
## COUNTRY
## C18A Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.8 12.4 42.3 23.2 4.4 2.6 6.2
## somewhat weakened 5.0 18.1 12.9 26.6 14.3 5.8 15.6
## did not change 13.3 28.3 22.2 15.0 46.1 12.3 21.9
## somewhat strengthened 55.0 27.4 10.5 26.9 28.8 26.6 29.2
## strengthened a lot 25.8 13.7 12.1 8.2 6.4 52.6 27.1
## Total 99.9 99.9 100.0 99.9 100.0 99.9 100.0
## Count 480.0 226.0 248.0 353.0 614.0 154.0 96.0
## COUNTRY
## C18A Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 8.8 0.0 3.4 8.8 6.8 8.5
## somewhat weakened 19.4 6.3 5.0 8.5 10.2 36.3
## did not change 38.4 6.3 22.7 13.4 15.3 38.3
## somewhat strengthened 26.4 39.7 37.8 28.1 35.6 14.0
## strengthened a lot 7.0 47.6 31.1 41.2 32.2 2.9
## Total 100.0 99.9 100.0 100.0 100.1 100.0
## Count 284.0 63.0 119.0 306.0 118.0 342.0
## COUNTRY
## C18A New Zealand Norway Philippines Poland Portugal
## weakened a lot 9.8 0.6 5.4 NaN 2.5
## somewhat weakened 33.5 12.7 28.2 NaN 6.0
## did not change 22.3 32.8 18.8 NaN 27.0
## somewhat strengthened 24.7 47.0 36.8 NaN 32.7
## strengthened a lot 9.8 6.9 10.8 NaN 31.8
## Total 100.1 100.0 100.0 NaN 100.0
## Count 328.0 332.0 277.0 0 318.0
## COUNTRY
## C18A Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 1.0 NaN 9.3 28.4 26.1 3.0
## somewhat weakened 10.5 NaN 12.2 28.1 21.0 1.5
## did not change 24.1 NaN 14.0 28.8 24.4 3.0
## somewhat strengthened 36.6 NaN 27.3 9.8 19.5 30.8
## strengthened a lot 27.7 NaN 37.2 4.9 9.1 61.7
## Total 99.9 NaN 100.0 100.0 100.1 100.0
## Count 191.0 0 172.0 285.0 353.0 133.0
## COUNTRY
## C18A Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 9.3 6.5 12.5 12.2
## somewhat weakened 22.2 21.5 19.2 34.5
## did not change 27.8 26.8 40.8 28.6
## somewhat strengthened 33.3 30.3 24.3 15.8
## strengthened a lot 7.4 14.9 3.1 8.9
## Total 100.0 100.0 99.9 100.0
## Count 54.0 261.0 255.0 336.0
## COUNTRY
## C18A Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 3.1 3.6 NaN 1.6 1.3
## somewhat weakened NaN 16.6 8.4 NaN 15.3 1.9
## did not change NaN 50.2 29.5 NaN 38.6 27.9
## somewhat strengthened NaN 22.0 42.9 NaN 33.7 51.3
## strengthened a lot NaN 8.2 15.5 NaN 10.8 17.5
## Total NaN 100.1 99.9 NaN 100.0 99.9
## Count 0 622.0 748.0 0 249.0 154.0
## COUNTRY
## C18A Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 13.2 18.4 NaN 10.7 6.8 NaN
## somewhat weakened 34.0 11.0 NaN 24.5 25.9 NaN
## did not change 34.0 15.4 NaN 24.5 45.1 NaN
## somewhat strengthened 11.3 21.3 NaN 31.0 18.1 NaN
## strengthened a lot 7.5 33.8 NaN 9.3 4.1 NaN
## Total 100.0 99.9 NaN 100.0 100.0 NaN
## Count 53.0 136.0 0 503.0 370.0 0#Ethical standards#
colPercents(xtabs(~C18B+COUNTRY, data=wjsn))## COUNTRY
## C18B Albania Argentina Australia Austria Bangladesh
## weakened a lot 6.5 20.6 3.9 6.1 7.9
## somewhat weakened 19.9 22.3 38.6 30.4 22.3
## did not change 21.3 26.5 40.1 36.0 22.3
## somewhat strengthened 47.7 19.2 14.2 22.5 24.0
## strengthened a lot 4.6 11.3 3.2 5.0 23.6
## Total 100.0 99.9 100.0 100.0 100.1
## Count 216.0 291.0 464.0 684.0 229.0
## COUNTRY
## C18B Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 3.5 0.0 3.6 6.2 NaN NaN
## somewhat weakened 22.2 2.0 8.2 27.4 NaN NaN
## did not change 47.4 14.3 15.5 31.3 NaN NaN
## somewhat strengthened 21.9 51.0 42.7 23.2 NaN NaN
## strengthened a lot 5.0 32.7 30.0 12.0 NaN NaN
## Total 100.0 100.0 100.0 100.1 NaN NaN
## Count 401.0 49.0 110.0 259.0 0 0
## COUNTRY
## C18B Canada Chile China Colombia Croatia Cyprus
## weakened a lot 5.2 17.1 7.8 21.1 32.4 51.6
## somewhat weakened 28.3 21.0 16.6 21.7 43.3 22.9
## did not change 42.3 28.1 32.4 24.9 16.9 16.3
## somewhat strengthened 19.2 20.5 31.3 15.4 5.9 7.2
## strengthened a lot 4.9 13.3 11.9 16.9 1.5 2.0
## Total 99.9 100.0 100.0 100.0 100.0 100.0
## Count 307.0 210.0 447.0 350.0 527.0 153.0
## COUNTRY
## C18B Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 6.1 NaN 1.8 4.0 8.5
## somewhat weakened 37.6 NaN 4.1 8.9 11.3
## did not change 38.0 NaN 9.6 36.2 17.9
## somewhat strengthened 15.5 NaN 28.9 23.2 24.5
## strengthened a lot 2.8 NaN 55.5 27.7 37.7
## Total 100.0 NaN 99.9 100.0 99.9
## Count 213.0 0 218.0 224.0 106.0
## COUNTRY
## C18B Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 2.8 11.6 NaN 2.4 12.7
## somewhat weakened 20.2 15.2 NaN 28.0 23.1
## did not change 34.4 23.2 NaN 36.4 36.6
## somewhat strengthened 35.3 37.0 NaN 31.3 20.9
## strengthened a lot 7.3 13.0 NaN 1.8 6.7
## Total 100.0 100.0 NaN 99.9 100.0
## Count 218.0 138.0 0 332.0 134.0
## COUNTRY
## C18B Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 10.5 43.2 12.8 22.3 0.0 9.0
## somewhat weakened 36.6 24.9 30.5 31.1 6.2 22.7
## did not change 38.4 18.9 34.2 20.3 44.2 22.4
## somewhat strengthened 12.2 8.0 20.3 16.2 43.4 22.7
## strengthened a lot 2.3 5.0 2.1 10.1 6.2 23.1
## Total 100.0 100.0 99.9 100.0 100.0 99.9
## Count 658.0 338.0 187.0 148.0 113.0 321.0
## COUNTRY
## C18B Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 1.9 8.0 54.1 29.7 2.6 5.1 10.4
## somewhat weakened 8.0 31.0 18.5 36.2 11.6 12.7 24.0
## did not change 23.3 26.1 17.0 15.8 25.8 12.7 26.0
## somewhat strengthened 49.3 26.1 6.2 16.4 36.7 36.9 25.0
## strengthened a lot 17.6 8.8 4.2 2.0 23.3 32.5 14.6
## Total 100.1 100.0 100.0 100.1 100.0 99.9 100.0
## Count 477.0 226.0 259.0 354.0 619.0 157.0 96.0
## COUNTRY
## C18B Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 6.0 3.1 1.7 8.2 7.6 7.3
## somewhat weakened 26.2 12.5 13.4 13.4 13.6 42.5
## did not change 35.8 10.9 22.7 20.0 9.3 33.7
## somewhat strengthened 24.2 43.8 40.3 29.8 32.2 15.0
## strengthened a lot 7.9 29.7 21.8 28.5 37.3 1.5
## Total 100.1 100.0 99.9 99.9 100.0 100.0
## Count 302.0 64.0 119.0 305.0 118.0 412.0
## COUNTRY
## C18B New Zealand Norway Philippines Poland Portugal
## weakened a lot 11.9 1.2 7.9 NaN 11.9
## somewhat weakened 48.5 20.6 29.3 NaN 31.3
## did not change 24.4 30.4 23.2 NaN 32.6
## somewhat strengthened 12.5 41.9 30.0 NaN 16.9
## strengthened a lot 2.7 6.0 9.6 NaN 7.2
## Total 100.0 100.1 100.0 NaN 99.9
## Count 369.0 418.0 280.0 0 319.0
## COUNTRY
## C18B Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 1.0 NaN 6.9 25.3 35.2 2.2
## somewhat weakened 9.9 NaN 10.4 22.1 31.0 7.5
## did not change 21.5 NaN 18.5 27.7 18.2 8.2
## somewhat strengthened 38.2 NaN 26.0 17.9 9.9 35.8
## strengthened a lot 29.3 NaN 38.2 7.0 5.7 46.3
## Total 99.9 NaN 100.0 100.0 100.0 100.0
## Count 191.0 0 173.0 285.0 352.0 134.0
## COUNTRY
## C18B Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 7.0 10.1 19.2 23.3
## somewhat weakened 21.1 23.2 22.7 40.3
## did not change 31.6 28.8 25.9 25.9
## somewhat strengthened 33.3 21.3 28.2 7.5
## strengthened a lot 7.0 16.5 3.9 2.9
## Total 100.0 99.9 99.9 99.9
## Count 57.0 267.0 255.0 347.0
## COUNTRY
## C18B Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 4.3 6.7 NaN 3.8 0.6
## somewhat weakened NaN 27.7 30.6 NaN 21.9 7.0
## did not change NaN 49.9 41.7 NaN 44.3 12.7
## somewhat strengthened NaN 16.7 19.0 NaN 30.0 56.3
## strengthened a lot NaN 1.3 2.1 NaN 0.0 23.4
## Total NaN 99.9 100.1 NaN 100.0 100.0
## Count 0 621.0 749.0 0 237.0 158.0
## COUNTRY
## C18B Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 39.6 15.3 NaN 7.4 6.4 NaN
## somewhat weakened 35.8 16.1 NaN 21.6 38.7 NaN
## did not change 15.1 17.5 NaN 21.4 37.9 NaN
## somewhat strengthened 3.8 21.9 NaN 37.5 14.1 NaN
## strengthened a lot 5.7 29.2 NaN 12.0 2.9 NaN
## Total 100.0 100.0 NaN 99.9 100.0 NaN
## Count 53.0 137.0 0 565.0 377.0 0#Competition#
colPercents(xtabs(~C18C+COUNTRY, data=wjsn))## COUNTRY
## C18C Albania Argentina Australia Austria Bangladesh
## weakened a lot 1.4 4.8 2.1 0.0 1.8
## somewhat weakened 6.1 7.2 11.8 1.0 4.4
## did not change 15.9 28.0 16.9 7.6 7.5
## somewhat strengthened 35.0 31.7 47.5 39.1 35.8
## strengthened a lot 41.6 28.3 21.6 52.3 50.4
## Total 100.0 100.0 99.9 100.0 99.9
## Count 214.0 293.0 467.0 709.0 226.0
## COUNTRY
## C18C Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 1.2 0.0 0.9 2.7 NaN NaN
## somewhat weakened 2.7 0.0 3.7 9.3 NaN NaN
## did not change 17.2 26.5 9.3 19.7 NaN NaN
## somewhat strengthened 47.0 28.6 32.4 37.5 NaN NaN
## strengthened a lot 31.8 44.9 53.7 30.9 NaN NaN
## Total 99.9 100.0 100.0 100.1 NaN NaN
## Count 406.0 49.0 108.0 259.0 0 0
## COUNTRY
## C18C Canada Chile China Colombia Croatia Cyprus
## weakened a lot 6.6 5.8 2.5 7.5 2.5 0.0
## somewhat weakened 13.2 11.2 4.7 12.1 7.4 0.0
## did not change 13.9 29.1 21.5 31.7 12.2 6.5
## somewhat strengthened 36.6 33.0 42.4 29.7 43.7 7.1
## strengthened a lot 29.7 20.9 28.9 19.0 34.2 86.4
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 317.0 206.0 446.0 347.0 524.0 154.0
## COUNTRY
## C18C Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 1.4 NaN 1.9 4.5 3.8
## somewhat weakened 4.7 NaN 7.4 4.0 5.8
## did not change 24.4 NaN 22.3 30.5 15.4
## somewhat strengthened 45.1 NaN 30.7 31.8 36.5
## strengthened a lot 24.4 NaN 37.7 29.1 38.5
## Total 100.0 NaN 100.0 99.9 100.0
## Count 213.0 0 215.0 223.0 104.0
## COUNTRY
## C18C Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 0.9 5.8 NaN 0.9 2.9
## somewhat weakened 4.2 2.2 NaN 1.2 2.9
## did not change 20.7 21.6 NaN 4.1 10.8
## somewhat strengthened 47.9 43.2 NaN 37.6 38.8
## strengthened a lot 26.3 27.3 NaN 56.2 44.6
## Total 100.0 100.1 NaN 100.0 100.0
## Count 213.0 139.0 0 338.0 139.0
## COUNTRY
## C18C Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 0.3 3.9 1.7 0.0 1.7 0.6
## somewhat weakened 1.6 7.4 7.2 7.5 5.1 1.2
## did not change 7.8 15.1 35.4 10.2 24.8 5.3
## somewhat strengthened 43.3 22.3 35.4 29.3 46.2 25.9
## strengthened a lot 47.0 51.3 20.4 53.1 22.2 67.0
## Total 100.0 100.0 100.1 100.1 100.0 100.0
## Count 683.0 337.0 181.0 147.0 117.0 321.0
## COUNTRY
## C18C Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.2 2.2 4.5 3.1 0.8 0.6 3.3
## somewhat weakened 0.4 5.3 4.5 6.2 6.3 1.9 5.6
## did not change 8.2 10.2 8.0 26.7 41.3 5.1 21.1
## somewhat strengthened 47.4 50.4 14.4 27.8 34.3 29.5 48.9
## strengthened a lot 43.8 31.9 68.6 36.2 17.2 62.8 21.1
## Total 100.0 100.0 100.0 100.0 99.9 99.9 100.0
## Count 475.0 226.0 264.0 356.0 615.0 156.0 90.0
## COUNTRY
## C18C Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 0.7 0.0 0.0 2.3 4.2 0.7
## somewhat weakened 6.2 0.0 0.8 4.6 6.8 4.7
## did not change 20.5 10.9 18.5 20.0 16.9 17.6
## somewhat strengthened 35.8 29.7 42.0 33.1 34.7 58.7
## strengthened a lot 36.8 59.4 38.7 40.0 37.3 18.3
## Total 100.0 100.0 100.0 100.0 99.9 100.0
## Count 307.0 64.0 119.0 305.0 118.0 443.0
## COUNTRY
## C18C New Zealand Norway Philippines Poland Portugal
## weakened a lot 6.0 0.5 1.1 NaN 0.3
## somewhat weakened 7.6 4.6 3.2 NaN 4.1
## did not change 8.9 9.0 11.4 NaN 12.0
## somewhat strengthened 45.6 56.4 45.7 NaN 43.4
## strengthened a lot 32.0 29.5 38.6 NaN 40.2
## Total 100.1 100.0 100.0 NaN 100.0
## Count 384.0 431.0 280.0 0 316.0
## COUNTRY
## C18C Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 9.9 NaN 4.6 6.0 5.1 1.5
## somewhat weakened 9.9 NaN 6.3 9.1 7.9 1.5
## did not change 22.5 NaN 26.4 25.3 21.2 4.6
## somewhat strengthened 36.6 NaN 32.2 30.2 33.1 43.1
## strengthened a lot 20.9 NaN 30.5 29.5 32.8 49.2
## Total 99.8 NaN 100.0 100.1 100.1 99.9
## Count 191.0 0 174.0 285.0 354.0 130.0
## COUNTRY
## C18C Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 12.3 1.5 1.6 2.3
## somewhat weakened 26.3 4.8 1.6 11.2
## did not change 15.8 12.3 8.6 24.8
## somewhat strengthened 29.8 42.0 37.6 38.9
## strengthened a lot 15.8 39.4 50.6 22.8
## Total 100.0 100.0 100.0 100.0
## Count 57.0 269.0 255.0 347.0
## COUNTRY
## C18C Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 0.8 0.5 NaN 5.2 0.0
## somewhat weakened NaN 4.8 2.4 NaN 15.3 0.6
## did not change NaN 14.4 10.3 NaN 24.9 7.0
## somewhat strengthened NaN 47.4 46.1 NaN 34.5 53.2
## strengthened a lot NaN 32.5 40.7 NaN 20.1 39.2
## Total NaN 99.9 100.0 NaN 100.0 100.0
## Count 0 624.0 751.0 0 249.0 158.0
## COUNTRY
## C18C Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 9.8 21.1 NaN 0.5 2.6 NaN
## somewhat weakened 13.7 9.0 NaN 9.7 7.4 NaN
## did not change 13.7 10.5 NaN 19.3 18.0 NaN
## somewhat strengthened 31.4 33.1 NaN 39.8 38.4 NaN
## strengthened a lot 31.4 26.3 NaN 30.7 33.6 NaN
## Total 100.0 100.0 NaN 100.0 100.0 NaN
## Count 51.0 133.0 0 580.0 378.0 0#Advertising considerations#
colPercents(xtabs(~C18D+COUNTRY, data=wjsn))## COUNTRY
## C18D Albania Argentina Australia Austria Bangladesh
## weakened a lot 1.9 7.7 1.1 0.9 5.5
## somewhat weakened 4.2 6.3 3.9 1.3 4.6
## did not change 14.0 36.6 35.5 23.5 24.0
## somewhat strengthened 29.8 24.6 43.6 48.8 31.3
## strengthened a lot 50.2 24.6 15.9 25.5 34.6
## Total 100.1 99.8 100.0 100.0 100.0
## Count 215.0 284.0 459.0 686.0 217.0
## COUNTRY
## C18D Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 4.0 2.0 4.6 1.2 NaN NaN
## somewhat weakened 6.6 8.2 4.6 4.7 NaN NaN
## did not change 39.1 22.4 27.5 35.3 NaN NaN
## somewhat strengthened 34.3 28.6 40.4 38.4 NaN NaN
## strengthened a lot 15.9 38.8 22.9 20.5 NaN NaN
## Total 99.9 100.0 100.0 100.1 NaN NaN
## Count 396.0 49.0 109.0 258.0 0 0
## COUNTRY
## C18D Canada Chile China Colombia Croatia Cyprus
## weakened a lot 4.3 13.0 2.7 7.2 7.5 0.0
## somewhat weakened 2.6 20.8 3.6 11.6 19.0 0.0
## did not change 24.9 33.8 28.3 27.5 11.5 4.6
## somewhat strengthened 48.2 17.9 42.4 25.8 28.6 7.2
## strengthened a lot 20.0 14.5 23.0 27.8 33.4 88.2
## Total 100.0 100.0 100.0 99.9 100.0 100.0
## Count 305.0 207.0 448.0 345.0 521.0 153.0
## COUNTRY
## C18D Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 2.9 NaN 5.2 7.1 7.8
## somewhat weakened 3.3 NaN 17.5 10.3 4.9
## did not change 23.9 NaN 33.2 23.2 44.7
## somewhat strengthened 40.7 NaN 28.4 37.9 18.4
## strengthened a lot 29.2 NaN 15.6 21.4 24.3
## Total 100.0 NaN 99.9 99.9 100.1
## Count 209.0 0 211.0 224.0 103.0
## COUNTRY
## C18D Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 2.9 4.4 NaN 1.0 2.2
## somewhat weakened 2.9 8.8 NaN 5.8 2.2
## did not change 32.5 22.8 NaN 26.5 25.9
## somewhat strengthened 36.8 40.4 NaN 50.2 45.2
## strengthened a lot 24.9 23.5 NaN 16.6 24.4
## Total 100.0 99.9 NaN 100.1 99.9
## Count 209.0 136.0 0 313.0 135.0
## COUNTRY
## C18D Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 1.7 10.1 1.1 0.0 1.8 2.8
## somewhat weakened 4.0 6.7 6.3 4.2 0.9 4.0
## did not change 27.9 12.8 55.4 11.9 55.9 10.9
## somewhat strengthened 42.9 18.0 28.6 45.5 32.4 37.4
## strengthened a lot 23.4 52.4 8.6 38.5 9.0 44.9
## Total 99.9 100.0 100.0 100.1 100.0 100.0
## Count 645.0 328.0 175.0 143.0 111.0 321.0
## COUNTRY
## C18D Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.9 2.2 3.1 0.9 2.1 1.3 5.7
## somewhat weakened 2.2 2.6 2.7 5.0 3.6 4.5 6.9
## did not change 18.5 34.4 14.8 29.6 41.9 7.7 21.8
## somewhat strengthened 54.5 42.7 16.3 34.0 40.9 41.3 42.5
## strengthened a lot 23.9 18.1 63.0 30.5 11.6 45.2 23.0
## Total 100.0 100.0 99.9 100.0 100.1 100.0 99.9
## Count 464.0 227.0 257.0 341.0 614.0 155.0 87.0
## COUNTRY
## C18D Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 0.0 0.0 0.9 5.3 4.3 0.5
## somewhat weakened 4.1 1.6 2.6 8.9 8.5 2.0
## did not change 18.9 20.3 24.6 31.4 22.2 21.9
## somewhat strengthened 45.6 43.8 47.4 34.0 33.3 55.8
## strengthened a lot 31.4 34.4 24.6 20.5 31.6 19.9
## Total 100.0 100.1 100.1 100.1 99.9 100.1
## Count 296.0 64.0 114.0 303.0 117.0 443.0
## COUNTRY
## C18D New Zealand Norway Philippines Poland Portugal
## weakened a lot 0.8 0.3 0.7 NaN 1.6
## somewhat weakened 1.6 5.0 4.3 NaN 2.8
## did not change 17.7 28.2 24.0 NaN 25.3
## somewhat strengthened 48.5 49.1 42.3 NaN 43.4
## strengthened a lot 31.4 17.4 28.7 NaN 26.9
## Total 100.0 100.0 100.0 NaN 100.0
## Count 373.0 397.0 279.0 0 316.0
## COUNTRY
## C18D Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 10.6 NaN 10.9 1.1 2.6 3.1
## somewhat weakened 15.3 NaN 14.4 4.6 4.6 4.7
## did not change 24.9 NaN 24.7 22.5 13.4 18.0
## somewhat strengthened 29.1 NaN 21.3 36.5 35.9 50.0
## strengthened a lot 20.1 NaN 28.7 35.4 43.6 24.2
## Total 100.0 NaN 100.0 100.1 100.1 100.0
## Count 189.0 0 174.0 285.0 351.0 128.0
## COUNTRY
## C18D Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 8.9 3.1 0.0 8.7
## somewhat weakened 25.0 2.7 3.1 13.3
## did not change 28.6 26.8 20.9 18.4
## somewhat strengthened 26.8 41.2 43.3 34.3
## strengthened a lot 10.7 26.1 32.7 25.3
## Total 100.0 99.9 100.0 100.0
## Count 56.0 257.0 254.0 332.0
## COUNTRY
## C18D Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 1.6 0.5 NaN 1.7 0.0
## somewhat weakened NaN 1.8 0.8 NaN 32.1 0.7
## did not change NaN 36.6 27.0 NaN 39.6 15.7
## somewhat strengthened NaN 43.2 50.9 NaN 20.8 48.4
## strengthened a lot NaN 16.8 20.8 NaN 5.8 35.3
## Total NaN 100.0 100.0 NaN 100.0 100.1
## Count 0 620.0 749.0 0 240.0 153.0
## COUNTRY
## C18D Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 1.9 18.3 NaN 1.1 6.5 NaN
## somewhat weakened 1.9 11.7 NaN 3.4 13.2 NaN
## did not change 15.1 14.2 NaN 29.4 42.7 NaN
## somewhat strengthened 28.3 32.5 NaN 41.3 33.8 NaN
## strengthened a lot 52.8 23.3 NaN 24.8 3.8 NaN
## Total 100.0 100.0 NaN 100.0 100.0 NaN
## Count 53.0 120.0 0 537.0 370.0 0#Profit making pressures#
colPercents(xtabs(~C18E+COUNTRY, data=wjsn))## COUNTRY
## C18E Albania Argentina Australia Austria Bangladesh
## weakened a lot 0.5 5.7 0.9 1.0 7.7
## somewhat weakened 4.7 5.7 1.3 0.6 5.7
## did not change 16.9 36.7 17.5 15.9 33.5
## somewhat strengthened 31.5 26.3 48.1 46.8 30.6
## strengthened a lot 46.5 25.6 32.3 35.7 22.5
## Total 100.1 100.0 100.1 100.0 100.0
## Count 213.0 281.0 462.0 690.0 209.0
## COUNTRY
## C18E Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 3.3 4.2 8.3 1.2 NaN NaN
## somewhat weakened 5.0 0.0 6.4 1.2 NaN NaN
## did not change 32.3 33.3 17.4 23.6 NaN NaN
## somewhat strengthened 37.3 25.0 37.6 39.8 NaN NaN
## strengthened a lot 22.1 37.5 30.3 34.4 NaN NaN
## Total 100.0 100.0 100.0 100.2 NaN NaN
## Count 399.0 48.0 109.0 259.0 0 0
## COUNTRY
## C18E Canada Chile China Colombia Croatia Cyprus
## weakened a lot 2.3 13.7 1.8 10.1 0.8 0.0
## somewhat weakened 1.9 18.1 2.9 14.5 0.6 0.0
## did not change 20.3 28.9 25.3 25.1 10.3 26.1
## somewhat strengthened 45.0 26.0 39.1 24.6 36.1 16.3
## strengthened a lot 30.5 13.2 30.9 25.7 52.3 57.5
## Total 100.0 99.9 100.0 100.0 100.1 99.9
## Count 311.0 204.0 447.0 346.0 524.0 153.0
## COUNTRY
## C18E Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 1.4 NaN 8.1 6.7 5.8
## somewhat weakened 2.9 NaN 16.2 9.8 6.7
## did not change 24.0 NaN 31.4 21.9 35.6
## somewhat strengthened 46.6 NaN 22.9 43.3 27.9
## strengthened a lot 25.0 NaN 21.4 18.3 24.0
## Total 99.9 NaN 100.0 100.0 100.0
## Count 208.0 0 210.0 224.0 104.0
## COUNTRY
## C18E Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 2.9 5.2 NaN 0.0 2.2
## somewhat weakened 0.5 7.5 NaN 0.6 0.7
## did not change 27.6 21.6 NaN 7.7 19.7
## somewhat strengthened 39.0 30.6 NaN 41.2 43.1
## strengthened a lot 30.0 35.1 NaN 50.4 34.3
## Total 100.0 100.0 NaN 99.9 100.0
## Count 210.0 134.0 0 337.0 137.0
## COUNTRY
## C18E Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 1.4 1.2 2.2 0.0 0.9 3.1
## somewhat weakened 2.5 3.4 5.1 0.7 0.0 6.2
## did not change 25.0 16.0 53.4 10.2 46.3 18.1
## somewhat strengthened 39.0 22.2 29.8 34.7 44.4 28.1
## strengthened a lot 32.1 57.1 9.6 54.4 8.3 44.4
## Total 100.0 99.9 100.1 100.0 99.9 99.9
## Count 651.0 324.0 178.0 147.0 108.0 320.0
## COUNTRY
## C18E Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.9 2.2 1.6 0.9 0.5 3.2 6.0
## somewhat weakened 2.0 0.9 0.4 2.3 2.3 3.9 3.6
## did not change 21.6 28.1 11.7 25.6 35.7 11.0 23.8
## somewhat strengthened 50.3 43.3 18.6 30.5 45.5 31.6 41.7
## strengthened a lot 25.3 25.4 67.6 40.7 16.0 50.3 25.0
## Total 100.1 99.9 99.9 100.0 100.0 100.0 100.1
## Count 459.0 224.0 247.0 344.0 613.0 155.0 84.0
## COUNTRY
## C18E Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 0.0 0.0 2.6 6.0 6.8 0.7
## somewhat weakened 2.7 4.8 1.7 7.0 5.9 0.2
## did not change 17.2 24.2 30.4 33.1 21.2 21.5
## somewhat strengthened 43.8 37.1 43.5 32.8 28.8 55.0
## strengthened a lot 36.4 33.9 21.7 21.2 37.3 22.6
## Total 100.1 100.0 99.9 100.1 100.0 100.0
## Count 297.0 62.0 115.0 302.0 118.0 442.0
## COUNTRY
## C18E New Zealand Norway Philippines Poland Portugal
## weakened a lot 0.3 0.5 0.7 NaN 0.9
## somewhat weakened 0.8 2.9 2.9 NaN 1.9
## did not change 9.7 11.9 24.9 NaN 19.6
## somewhat strengthened 41.3 46.4 41.9 NaN 47.0
## strengthened a lot 48.0 38.3 29.6 NaN 30.6
## Total 100.1 100.0 100.0 NaN 100.0
## Count 383.0 412.0 277.0 0 317.0
## COUNTRY
## C18E Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 9.0 NaN 18.6 1.1 1.4 7.4
## somewhat weakened 21.2 NaN 12.8 6.0 2.6 10.7
## did not change 33.9 NaN 25.6 26.3 12.3 18.9
## somewhat strengthened 23.8 NaN 16.9 28.8 38.2 40.2
## strengthened a lot 12.2 NaN 26.2 37.9 45.6 23.0
## Total 100.1 NaN 100.1 100.1 100.1 100.2
## Count 189.0 0 172.0 285.0 351.0 122.0
## COUNTRY
## C18E Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 13.6 1.9 1.2 4.7
## somewhat weakened 25.4 1.1 2.0 10.1
## did not change 22.0 11.8 12.6 21.9
## somewhat strengthened 32.2 33.5 43.3 34.6
## strengthened a lot 6.8 51.7 40.9 28.7
## Total 100.0 100.0 100.0 100.0
## Count 59.0 263.0 254.0 338.0
## COUNTRY
## C18E Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 1.5 0.5 NaN 10.1 0.0
## somewhat weakened NaN 0.2 0.7 NaN 30.2 0.0
## did not change NaN 25.0 20.5 NaN 39.1 20.0
## somewhat strengthened NaN 37.6 50.3 NaN 15.7 54.7
## strengthened a lot NaN 35.8 28.1 NaN 4.8 25.3
## Total NaN 100.1 100.1 NaN 99.9 100.0
## Count 0 620.0 748.0 0 248.0 150.0
## COUNTRY
## C18E Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 1.9 17.1 NaN 0.5 3.5 NaN
## somewhat weakened 1.9 10.5 NaN 1.3 7.2 NaN
## did not change 18.9 19.0 NaN 20.9 25.7 NaN
## somewhat strengthened 26.4 28.6 NaN 42.8 41.0 NaN
## strengthened a lot 50.9 24.8 NaN 34.5 22.5 NaN
## Total 100.0 100.0 NaN 100.0 99.9 NaN
## Count 53.0 105.0 0 559.0 373.0 0#Public relations#
colPercents(xtabs(~C18F+COUNTRY, data=wjsn))## COUNTRY
## C18F Albania Argentina Australia Austria Bangladesh
## weakened a lot 4.2 1.8 1.5 0.6 6.5
## somewhat weakened 8.4 4.9 3.4 2.6 9.3
## did not change 25.7 39.6 32.0 32.5 31.5
## somewhat strengthened 41.6 35.0 46.9 46.4 35.6
## strengthened a lot 20.1 18.7 16.1 17.9 17.1
## Total 100.0 100.0 99.9 100.0 100.0
## Count 214.0 283.0 465.0 689.0 216.0
## COUNTRY
## C18F Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 4.8 2.0 5.5 2.7 NaN NaN
## somewhat weakened 8.5 8.2 5.5 3.1 NaN NaN
## did not change 51.5 24.5 23.9 51.7 NaN NaN
## somewhat strengthened 26.6 40.8 39.4 32.4 NaN NaN
## strengthened a lot 8.5 24.5 25.7 10.0 NaN NaN
## Total 99.9 100.0 100.0 99.9 NaN NaN
## Count 398.0 49.0 109.0 259.0 0 0
## COUNTRY
## C18F Canada Chile China Colombia Croatia Cyprus
## weakened a lot 2.3 14.0 1.3 4.0 1.4 0.0
## somewhat weakened 5.8 16.9 2.5 9.2 8.2 0.0
## did not change 47.4 31.9 37.5 23.0 24.9 28.9
## somewhat strengthened 29.5 22.2 44.9 34.2 44.9 25.7
## strengthened a lot 14.9 15.0 13.7 29.6 20.8 45.4
## Total 99.9 100.0 99.9 100.0 100.2 100.0
## Count 308.0 207.0 445.0 348.0 515.0 152.0
## COUNTRY
## C18F Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 0.9 NaN 4.7 4.0 1.9
## somewhat weakened 4.2 NaN 8.8 11.6 9.5
## did not change 32.5 NaN 22.3 41.3 36.2
## somewhat strengthened 39.6 NaN 34.0 26.2 30.5
## strengthened a lot 22.6 NaN 30.2 16.9 21.9
## Total 99.8 NaN 100.0 100.0 100.0
## Count 212.0 0 215.0 225.0 105.0
## COUNTRY
## C18F Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 0.5 2.9 NaN 0.9 3.0
## somewhat weakened 5.7 5.8 NaN 9.0 0.8
## did not change 41.0 28.8 NaN 45.5 42.9
## somewhat strengthened 38.7 38.8 NaN 39.3 35.3
## strengthened a lot 14.2 23.7 NaN 5.3 18.0
## Total 100.1 100.0 NaN 100.0 100.0
## Count 212.0 139.0 0 321.0 133.0
## COUNTRY
## C18F Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 0.8 2.1 2.3 0.0 0.9 3.7
## somewhat weakened 5.0 7.9 5.7 7.0 2.8 5.9
## did not change 36.8 29.6 58.9 28.9 49.5 18.9
## somewhat strengthened 40.3 26.8 28.0 45.8 38.5 39.4
## strengthened a lot 17.2 33.5 5.1 18.3 8.3 32.0
## Total 100.1 99.9 100.0 100.0 100.0 99.9
## Count 658.0 328.0 175.0 142.0 109.0 322.0
## COUNTRY
## C18F Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 1.9 3.1 0.4 1.4 0.0 3.9 8.1
## somewhat weakened 4.1 4.9 4.7 4.3 2.6 12.3 15.1
## did not change 38.3 45.6 15.1 42.0 53.3 16.2 34.9
## somewhat strengthened 46.3 33.2 21.3 30.1 37.6 39.0 31.4
## strengthened a lot 9.4 13.3 58.5 22.0 6.4 28.6 10.5
## Total 100.0 100.1 100.0 99.8 99.9 100.0 100.0
## Count 467.0 226.0 258.0 345.0 606.0 154.0 86.0
## COUNTRY
## C18F Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 0.0 3.1 0.0 1.7 5.2 0.9
## somewhat weakened 3.3 0.0 1.7 6.3 16.4 2.3
## did not change 26.2 26.6 34.7 35.6 27.6 37.7
## somewhat strengthened 49.7 50.0 47.5 35.0 28.4 47.1
## strengthened a lot 20.9 20.3 16.1 21.5 22.4 11.9
## Total 100.1 100.0 100.0 100.1 100.0 99.9
## Count 302.0 64.0 118.0 303.0 116.0 427.0
## COUNTRY
## C18F New Zealand Norway Philippines Poland Portugal
## weakened a lot 0.8 0.8 2.2 NaN 1.3
## somewhat weakened 2.6 2.6 4.0 NaN 6.0
## did not change 24.2 25.5 42.1 NaN 29.7
## somewhat strengthened 45.7 53.8 36.0 NaN 45.9
## strengthened a lot 26.8 17.4 15.8 NaN 17.1
## Total 100.1 100.1 100.1 NaN 100.0
## Count 385.0 385.0 278.0 0 316.0
## COUNTRY
## C18F Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 10.5 NaN 12.9 1.8 2.3 5.4
## somewhat weakened 18.4 NaN 22.9 14.0 2.8 9.2
## did not change 32.6 NaN 25.9 31.6 28.5 10.0
## somewhat strengthened 27.9 NaN 24.1 33.3 42.5 43.8
## strengthened a lot 10.5 NaN 14.1 19.3 23.9 31.5
## Total 99.9 NaN 99.9 100.0 100.0 99.9
## Count 190.0 0 170.0 285.0 351.0 130.0
## COUNTRY
## C18F Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 7.0 4.2 1.2 2.6
## somewhat weakened 26.3 8.4 8.2 12.3
## did not change 36.8 33.5 43.9 44.7
## somewhat strengthened 28.1 35.4 39.6 29.2
## strengthened a lot 1.8 18.6 7.1 11.1
## Total 100.0 100.1 100.0 99.9
## Count 57.0 263.0 255.0 342.0
## COUNTRY
## C18F Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 1.0 0.4 NaN 42.3 0.6
## somewhat weakened NaN 2.4 0.9 NaN 20.9 0.6
## did not change NaN 42.9 29.5 NaN 26.4 29.0
## somewhat strengthened NaN 42.7 43.5 NaN 8.4 47.7
## strengthened a lot NaN 11.1 25.7 NaN 2.1 21.9
## Total NaN 100.1 100.0 NaN 100.1 99.8
## Count 0 623.0 752.0 0 239.0 155.0
## COUNTRY
## C18F Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 9.6 18.3 NaN 1.2 8.0 NaN
## somewhat weakened 7.7 11.7 NaN 4.4 21.4 NaN
## did not change 32.7 15.8 NaN 34.2 48.8 NaN
## somewhat strengthened 28.8 31.7 NaN 40.5 18.5 NaN
## strengthened a lot 21.2 22.5 NaN 19.7 3.2 NaN
## Total 100.0 100.0 NaN 100.0 99.9 NaN
## Count 52.0 120.0 0 568.0 373.0 0#Audience research#
colPercents(xtabs(~C18G+COUNTRY, data=wjsn))## COUNTRY
## C18G Albania Argentina Australia Austria Bangladesh
## weakened a lot 7.6 3.7 0.7 0.7 6.5
## somewhat weakened 12.9 5.9 2.5 3.7 6.9
## did not change 31.9 36.7 25.2 32.7 24.0
## somewhat strengthened 41.4 37.4 50.4 46.9 38.7
## strengthened a lot 6.2 16.3 21.2 15.9 24.0
## Total 100.0 100.0 100.0 99.9 100.1
## Count 210.0 270.0 448.0 672.0 217.0
## COUNTRY
## C18G Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 1.3 2.0 5.5 0.8 NaN NaN
## somewhat weakened 4.5 8.2 13.8 1.2 NaN NaN
## did not change 33.4 24.5 33.0 24.5 NaN NaN
## somewhat strengthened 45.0 38.8 25.7 40.5 NaN NaN
## strengthened a lot 15.8 26.5 22.0 33.1 NaN NaN
## Total 100.0 100.0 100.0 100.1 NaN NaN
## Count 398.0 49.0 109.0 257.0 0 0
## COUNTRY
## C18G Canada Chile China Colombia Croatia Cyprus
## weakened a lot 0.3 10.6 1.6 5.4 5.2 0.0
## somewhat weakened 3.4 15.5 6.1 10.9 18.5 0.0
## did not change 24.4 30.0 36.0 25.1 36.4 13.1
## somewhat strengthened 47.1 28.5 42.2 27.7 28.6 35.3
## strengthened a lot 24.7 15.5 14.2 30.9 11.3 51.6
## Total 99.9 100.1 100.1 100.0 100.0 100.0
## Count 295.0 207.0 445.0 350.0 503.0 153.0
## COUNTRY
## C18G Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 1.0 NaN 6.1 5.8 5.9
## somewhat weakened 6.0 NaN 7.9 12.9 5.0
## did not change 43.3 NaN 22.4 45.8 35.6
## somewhat strengthened 37.3 NaN 29.0 19.1 26.7
## strengthened a lot 12.4 NaN 34.6 16.4 26.7
## Total 100.0 NaN 100.0 100.0 99.9
## Count 201.0 0 214.0 225.0 101.0
## COUNTRY
## C18G Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 0.5 10.3 NaN 0.9 0.7
## somewhat weakened 7.1 11.8 NaN 2.8 0.0
## did not change 44.5 31.6 NaN 33.6 14.3
## somewhat strengthened 39.8 33.1 NaN 52.5 40.0
## strengthened a lot 8.1 13.2 NaN 10.2 45.0
## Total 100.0 100.0 NaN 100.0 100.0
## Count 211.0 136.0 0 324.0 140.0
## COUNTRY
## C18G Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 1.5 3.4 1.2 3.6 1.8 2.2
## somewhat weakened 5.7 8.1 2.9 5.0 3.5 8.9
## did not change 32.9 38.9 53.5 27.9 43.9 16.0
## somewhat strengthened 40.6 29.9 39.5 40.7 41.2 38.0
## strengthened a lot 19.3 19.6 2.9 22.9 9.6 34.8
## Total 100.0 99.9 100.0 100.1 100.0 99.9
## Count 653.0 321.0 172.0 140.0 114.0 313.0
## COUNTRY
## C18G Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.9 1.8 2.9 0.9 0.5 1.3 10.7
## somewhat weakened 3.3 4.5 5.9 2.6 2.4 7.1 23.8
## did not change 20.1 33.5 30.3 24.9 35.3 12.2 41.7
## somewhat strengthened 62.7 43.8 19.3 40.2 48.5 46.2 17.9
## strengthened a lot 12.9 16.5 41.6 31.5 13.3 33.3 6.0
## Total 99.9 100.1 100.0 100.1 100.0 100.1 100.1
## Count 448.0 224.0 238.0 346.0 615.0 156.0 84.0
## COUNTRY
## C18G Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 1.0 3.1 0.0 4.0 5.1 0.7
## somewhat weakened 8.1 6.2 2.6 9.0 10.2 3.5
## did not change 25.4 34.4 25.9 30.9 19.5 45.0
## somewhat strengthened 46.1 42.2 51.7 30.2 30.5 43.1
## strengthened a lot 19.3 14.1 19.8 25.9 34.7 7.7
## Total 99.9 100.0 100.0 100.0 100.0 100.0
## Count 295.0 64.0 116.0 301.0 118.0 404.0
## COUNTRY
## C18G New Zealand Norway Philippines Poland Portugal
## weakened a lot 0.8 0.0 1.1 NaN 0.3
## somewhat weakened 1.9 2.1 5.8 NaN 4.1
## did not change 17.0 23.5 21.6 NaN 29.5
## somewhat strengthened 47.4 59.8 43.5 NaN 45.4
## strengthened a lot 32.9 14.7 28.1 NaN 20.6
## Total 100.0 100.1 100.1 NaN 99.9
## Count 371.0 388.0 278.0 0 315.0
## COUNTRY
## C18G Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 6.3 NaN 7.0 2.5 2.3 4.0
## somewhat weakened 20.4 NaN 9.4 13.3 7.8 6.4
## did not change 34.0 NaN 21.6 30.5 32.2 20.0
## somewhat strengthened 29.3 NaN 32.7 33.0 37.7 43.2
## strengthened a lot 9.9 NaN 29.2 20.7 20.0 26.4
## Total 99.9 NaN 99.9 100.0 100.0 100.0
## Count 191.0 0 171.0 285.0 345.0 125.0
## COUNTRY
## C18G Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 8.8 1.9 2.0 1.8
## somewhat weakened 29.8 5.0 9.0 3.5
## did not change 28.1 25.0 49.0 26.3
## somewhat strengthened 31.6 40.8 36.5 43.3
## strengthened a lot 1.8 27.3 3.5 25.1
## Total 100.1 100.0 100.0 100.0
## Count 57.0 260.0 255.0 342.0
## COUNTRY
## C18G Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 0.6 0.4 NaN 48.2 0.0
## somewhat weakened NaN 1.8 2.8 NaN 17.0 3.8
## did not change NaN 34.5 35.2 NaN 34.8 27.7
## somewhat strengthened NaN 46.4 46.9 NaN 0.0 52.2
## strengthened a lot NaN 16.7 14.7 NaN 0.0 16.4
## Total NaN 100.0 100.0 NaN 100.0 100.1
## Count 0 623.0 748.0 0 112.0 159.0
## COUNTRY
## C18G Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 9.6 10.9 NaN 0.7 5.9 NaN
## somewhat weakened 13.5 16.8 NaN 3.9 9.3 NaN
## did not change 17.3 16.8 NaN 26.9 38.4 NaN
## somewhat strengthened 32.7 39.5 NaN 41.7 37.3 NaN
## strengthened a lot 26.9 16.0 NaN 26.7 9.1 NaN
## Total 100.0 100.0 NaN 99.9 100.0 NaN
## Count 52.0 119.0 0 561.0 375.0 0#User-generated contents, such as blogs#
colPercents(xtabs(~C18H+COUNTRY, data=wjsn))## COUNTRY
## C18H Albania Argentina Australia Austria Bangladesh
## weakened a lot 2.8 1.0 0.4 0.6 11.2
## somewhat weakened 0.9 3.8 1.3 1.6 10.3
## did not change 8.0 10.0 6.0 9.2 18.7
## somewhat strengthened 31.5 33.3 24.8 47.8 36.0
## strengthened a lot 56.8 51.9 67.5 40.8 23.8
## Total 100.0 100.0 100.0 100.0 100.0
## Count 213.0 291.0 468.0 696.0 214.0
## COUNTRY
## C18H Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 2.5 2.0 7.5 0.4 NaN NaN
## somewhat weakened 3.0 14.3 11.2 0.8 NaN NaN
## did not change 15.6 24.5 21.5 6.6 NaN NaN
## somewhat strengthened 46.2 36.7 34.6 35.1 NaN NaN
## strengthened a lot 32.8 22.4 25.2 57.1 NaN NaN
## Total 100.1 99.9 100.0 100.0 NaN NaN
## Count 403.0 49.0 107.0 259.0 0 0
## COUNTRY
## C18H Canada Chile China Colombia Croatia Cyprus
## weakened a lot 1.0 5.3 1.3 2.0 0.6 0.0
## somewhat weakened 3.2 9.1 2.0 9.2 3.6 0.7
## did not change 16.3 23.9 14.8 16.0 16.6 13.7
## somewhat strengthened 42.9 28.7 38.9 28.9 52.1 38.6
## strengthened a lot 36.5 33.0 43.0 43.8 27.1 47.1
## Total 99.9 100.0 100.0 99.9 100.0 100.1
## Count 312.0 209.0 447.0 349.0 505.0 153.0
## COUNTRY
## C18H Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 1.4 NaN 2.8 4.0 1.9
## somewhat weakened 1.9 NaN 6.0 11.7 3.9
## did not change 17.5 NaN 17.7 46.2 9.7
## somewhat strengthened 39.6 NaN 35.3 19.3 33.0
## strengthened a lot 39.6 NaN 38.1 18.8 51.5
## Total 100.0 NaN 99.9 100.0 100.0
## Count 212.0 0 215.0 223.0 103.0
## COUNTRY
## C18H Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 0.5 7.4 NaN 0.3 0.7
## somewhat weakened 5.1 7.4 NaN 0.3 1.4
## did not change 6.0 17.6 NaN 6.2 12.2
## somewhat strengthened 41.9 39.0 NaN 41.6 51.1
## strengthened a lot 46.5 28.7 NaN 51.6 34.5
## Total 100.0 100.1 NaN 100.0 99.9
## Count 215.0 136.0 0 339.0 139.0
## COUNTRY
## C18H Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 0.7 0.6 2.7 1.3 0.0 2.2
## somewhat weakened 2.2 2.7 2.2 1.3 3.5 4.8
## did not change 11.8 6.3 22.0 8.1 12.3 15.7
## somewhat strengthened 44.7 31.7 56.6 43.0 55.3 35.1
## strengthened a lot 40.5 58.6 16.5 46.3 28.9 42.2
## Total 99.9 99.9 100.0 100.0 100.0 100.0
## Count 671.0 331.0 182.0 149.0 114.0 313.0
## COUNTRY
## C18H Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.2 1.3 0.0 1.4 0.2 3.2 6.6
## somewhat weakened 1.1 3.5 3.5 2.5 2.1 6.5 8.8
## did not change 9.2 8.8 4.7 6.2 19.4 7.7 12.1
## somewhat strengthened 54.9 41.4 19.8 41.2 52.4 33.5 37.4
## strengthened a lot 34.6 44.9 72.1 48.6 25.9 49.0 35.2
## Total 100.0 99.9 100.1 99.9 100.0 99.9 100.1
## Count 459.0 227.0 258.0 354.0 618.0 155.0 91.0
## COUNTRY
## C18H Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 1.0 0.0 1.7 1.0 5.1 0.2
## somewhat weakened 8.1 11.7 0.8 4.0 11.0 0.7
## did not change 8.7 15.0 16.9 20.8 24.6 10.1
## somewhat strengthened 49.3 31.7 48.3 30.4 40.7 60.2
## strengthened a lot 32.9 41.7 32.2 43.9 18.6 28.9
## Total 100.0 100.1 99.9 100.1 100.0 100.1
## Count 298.0 60.0 118.0 303.0 118.0 457.0
## COUNTRY
## C18H New Zealand Norway Philippines Poland Portugal
## weakened a lot 0.5 0.2 2.5 NaN 0.6
## somewhat weakened 0.8 2.4 5.0 NaN 5.3
## did not change 6.2 8.6 13.3 NaN 18.2
## somewhat strengthened 40.1 54.5 49.8 NaN 47.0
## strengthened a lot 52.5 34.3 29.4 NaN 28.8
## Total 100.1 100.0 100.0 NaN 99.9
## Count 387.0 420.0 279.0 0 319.0
## COUNTRY
## C18H Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 4.7 NaN 5.2 1.4 2.9 5.7
## somewhat weakened 21.1 NaN 9.9 7.0 6.3 9.8
## did not change 34.7 NaN 25.6 21.1 18.4 8.9
## somewhat strengthened 28.4 NaN 29.1 34.7 45.7 44.7
## strengthened a lot 11.1 NaN 30.2 35.8 26.7 30.9
## Total 100.0 NaN 100.0 100.0 100.0 100.0
## Count 190.0 0 172.0 285.0 348.0 123.0
## COUNTRY
## C18H Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 15.5 0.4 2.0 0.6
## somewhat weakened 31.0 1.1 5.1 2.9
## did not change 12.1 7.1 22.7 10.6
## somewhat strengthened 22.4 40.6 54.1 35.3
## strengthened a lot 19.0 50.8 16.1 50.6
## Total 100.0 100.0 100.0 100.0
## Count 58.0 266.0 255.0 348.0
## COUNTRY
## C18H Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 0.3 0.3 NaN 0.0 0.0
## somewhat weakened NaN 1.1 1.1 NaN 2.0 1.3
## did not change NaN 8.8 15.7 NaN 37.3 24.4
## somewhat strengthened NaN 49.4 49.5 NaN 36.9 49.4
## strengthened a lot NaN 40.4 33.4 NaN 23.7 25.0
## Total NaN 100.0 100.0 NaN 99.9 100.1
## Count 0 622.0 751.0 0 249.0 156.0
## COUNTRY
## C18H Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 1.9 14.2 NaN 0.3 5.0 NaN
## somewhat weakened 1.9 11.7 NaN 2.0 9.3 NaN
## did not change 13.5 13.3 NaN 6.0 16.4 NaN
## somewhat strengthened 40.4 38.3 NaN 35.9 39.4 NaN
## strengthened a lot 42.3 22.5 NaN 55.7 29.9 NaN
## Total 100.0 100.0 NaN 99.9 100.0 NaN
## Count 52.0 120.0 0 587.0 378.0 0#Social media, such as [add 1 or 2 examples]#
colPercents(xtabs(~C18J+COUNTRY, data=wjsn))## COUNTRY
## C18J Albania Argentina Australia Austria Bangladesh
## weakened a lot 0.5 0.3 0.2 0.1 5.0
## somewhat weakened 0.5 1.4 0.0 0.3 8.6
## did not change 5.6 4.7 0.4 2.0 16.3
## somewhat strengthened 25.6 22.3 12.2 27.6 27.6
## strengthened a lot 67.9 71.3 87.2 70.0 42.5
## Total 100.1 100.0 100.0 100.0 100.0
## Count 215.0 296.0 468.0 713.0 221.0
## COUNTRY
## C18J Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 1.0 4.1 3.7 0.4 NaN NaN
## somewhat weakened 0.5 10.2 4.6 0.0 NaN NaN
## did not change 5.0 30.6 12.0 2.7 NaN NaN
## somewhat strengthened 26.9 22.4 25.9 17.8 NaN NaN
## strengthened a lot 66.6 32.7 53.7 79.2 NaN NaN
## Total 100.0 100.0 99.9 100.1 NaN NaN
## Count 398.0 49.0 108.0 259.0 0 0
## COUNTRY
## C18J Canada Chile China Colombia Croatia Cyprus
## weakened a lot 0.0 1.0 0.9 0.9 2.9 0.0
## somewhat weakened 0.6 3.8 3.2 2.6 9.4 0.0
## did not change 1.6 15.4 10.1 8.3 20.7 0.6
## somewhat strengthened 17.0 26.9 36.7 27.8 36.8 3.9
## strengthened a lot 80.8 52.9 49.1 60.5 30.1 95.5
## Total 100.0 100.0 100.0 100.1 99.9 100.0
## Count 317.0 208.0 444.0 349.0 511.0 154.0
## COUNTRY
## C18J Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 0.9 NaN 1.4 2.6 1.9
## somewhat weakened 0.0 NaN 2.3 3.1 1.0
## did not change 3.2 NaN 8.7 16.7 2.9
## somewhat strengthened 22.6 NaN 27.1 48.9 20.4
## strengthened a lot 73.3 NaN 60.6 28.6 73.8
## Total 100.0 NaN 100.1 99.9 100.0
## Count 217.0 0 218.0 227.0 103.0
## COUNTRY
## C18J Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 0.5 3.7 NaN 0.0 0.0
## somewhat weakened 0.5 3.0 NaN 0.3 2.2
## did not change 5.5 15.7 NaN 2.4 5.0
## somewhat strengthened 32.3 34.3 NaN 22.4 23.7
## strengthened a lot 61.3 43.3 NaN 74.9 69.1
## Total 100.1 100.0 NaN 100.0 100.0
## Count 217.0 134.0 0 339.0 139.0
## COUNTRY
## C18J Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 0.1 0.9 0.0 0.0 0.0 2.3
## somewhat weakened 0.4 0.0 2.7 1.4 0.8 2.6
## did not change 4.7 1.2 16.3 5.4 3.4 13.4
## somewhat strengthened 25.9 16.8 50.0 18.9 43.2 28.5
## strengthened a lot 68.8 81.1 31.0 74.3 52.5 53.1
## Total 99.9 100.0 100.0 100.0 99.9 99.9
## Count 683.0 334.0 184.0 148.0 118.0 305.0
## COUNTRY
## C18J Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.0 0.0 0.0 0.6 0.5 1.9 2.2
## somewhat weakened 0.6 0.4 1.1 0.8 1.1 3.2 2.2
## did not change 4.8 1.8 1.9 2.0 10.0 2.6 9.7
## somewhat strengthened 43.6 21.1 6.5 23.7 51.6 26.0 29.0
## strengthened a lot 50.9 76.8 90.4 73.0 36.8 66.2 57.0
## Total 99.9 100.1 99.9 100.1 100.0 99.9 100.1
## Count 477.0 228.0 261.0 355.0 620.0 154.0 93.0
## COUNTRY
## C18J Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 2.0 0.0 0.8 1.0 3.4 0.4
## somewhat weakened 0.0 4.8 0.8 1.3 9.4 0.4
## did not change 6.2 7.9 13.4 6.2 23.1 2.8
## somewhat strengthened 29.4 25.4 45.4 24.3 32.5 41.6
## strengthened a lot 62.4 61.9 39.5 67.2 31.6 54.8
## Total 100.0 100.0 99.9 100.0 100.0 100.0
## Count 306.0 63.0 119.0 305.0 117.0 469.0
## COUNTRY
## C18J New Zealand Norway Philippines Poland Portugal
## weakened a lot 0.3 0.5 0.7 NaN 0.3
## somewhat weakened 0.0 0.2 1.4 NaN 0.6
## did not change 0.8 2.3 5.0 NaN 6.6
## somewhat strengthened 16.1 40.2 34.2 NaN 38.9
## strengthened a lot 82.9 56.8 58.6 NaN 53.5
## Total 100.1 100.0 99.9 NaN 99.9
## Count 391.0 440.0 278.0 0 316.0
## COUNTRY
## C18J Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 3.7 NaN 2.3 1.1 2.0 2.2
## somewhat weakened 11.0 NaN 6.9 5.6 2.3 3.7
## did not change 31.4 NaN 17.9 12.6 7.3 3.7
## somewhat strengthened 38.7 NaN 29.5 33.7 38.9 29.1
## strengthened a lot 15.2 NaN 43.4 47.0 49.6 61.2
## Total 100.0 NaN 100.0 100.0 100.1 99.9
## Count 191.0 0 173.0 285.0 355.0 134.0
## COUNTRY
## C18J Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 23.7 0.0 0.8 0.3
## somewhat weakened 23.7 0.0 2.4 0.9
## did not change 1.7 0.7 10.2 2.6
## somewhat strengthened 18.6 13.6 51.4 23.0
## strengthened a lot 32.2 85.7 35.3 73.3
## Total 99.9 100.0 100.1 100.1
## Count 59.0 272.0 255.0 348.0
## COUNTRY
## C18J Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 0.2 0.0 NaN 0 0.0
## somewhat weakened NaN 0.2 0.1 NaN 0 0.6
## did not change NaN 3.7 4.0 NaN 0 3.1
## somewhat strengthened NaN 35.1 35.1 NaN 59 29.6
## strengthened a lot NaN 60.9 60.7 NaN 41 66.7
## Total NaN 100.1 99.9 NaN 100 100.0
## Count 0 626.0 754.0 0 249 159.0
## COUNTRY
## C18J Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 0 23.7 NaN 0.0 2.4 NaN
## somewhat weakened 0 7.6 NaN 0.2 1.6 NaN
## did not change 0 3.8 NaN 1.9 5.3 NaN
## somewhat strengthened 13 26.0 NaN 18.2 28.5 NaN
## strengthened a lot 87 38.9 NaN 79.7 62.3 NaN
## Total 100 100.0 NaN 100.0 100.1 NaN
## Count 54 131.0 0 592.0 379.0 0#Audience involvement in news production#
colPercents(xtabs(~C18K+COUNTRY, data=wjsn))## COUNTRY
## C18K Albania Argentina Australia Austria Bangladesh
## weakened a lot 4.7 0.7 0.9 0.9 4.5
## somewhat weakened 4.7 2.0 1.5 2.9 5.4
## did not change 24.4 19.5 16.1 30.7 26.2
## somewhat strengthened 45.5 39.9 46.0 46.3 37.6
## strengthened a lot 20.7 37.9 35.6 19.2 26.2
## Total 100.0 100.0 100.1 100.0 99.9
## Count 213.0 293.0 461.0 684.0 221.0
## COUNTRY
## C18K Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 1.5 8.2 3.7 0.8 NaN NaN
## somewhat weakened 4.5 16.3 14.8 0.0 NaN NaN
## did not change 33.8 16.3 33.3 8.1 NaN NaN
## somewhat strengthened 47.6 36.7 26.9 40.5 NaN NaN
## strengthened a lot 12.6 22.4 21.3 50.6 NaN NaN
## Total 100.0 99.9 100.0 100.0 NaN NaN
## Count 397.0 49.0 108.0 259.0 0 0
## COUNTRY
## C18K Canada Chile China Colombia Croatia Cyprus
## weakened a lot 2.0 5.8 0.5 2.9 3.3 0.0
## somewhat weakened 2.7 7.3 3.2 6.3 9.1 0.0
## did not change 30.7 24.3 13.1 17.7 22.9 18.2
## somewhat strengthened 46.3 37.4 48.2 34.3 50.1 28.6
## strengthened a lot 18.3 25.2 35.1 38.9 14.6 53.2
## Total 100.0 100.0 100.1 100.1 100.0 100.0
## Count 300.0 206.0 444.0 350.0 515.0 154.0
## COUNTRY
## C18K Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 1.4 NaN 2.3 4.8 1.9
## somewhat weakened 8.0 NaN 3.2 9.3 0.9
## did not change 32.9 NaN 13.4 18.9 17.0
## somewhat strengthened 41.8 NaN 44.0 45.4 34.0
## strengthened a lot 16.0 NaN 37.0 21.6 46.2
## Total 100.1 NaN 99.9 100.0 100.0
## Count 213.0 0 216.0 227.0 106.0
## COUNTRY
## C18K Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 0.9 8.1 NaN 0.3 2.2
## somewhat weakened 2.8 13.2 NaN 2.1 0.7
## did not change 21.1 24.3 NaN 15.1 20.9
## somewhat strengthened 53.1 32.4 NaN 62.1 49.3
## strengthened a lot 22.1 22.1 NaN 20.4 26.9
## Total 100.0 100.1 NaN 100.0 100.0
## Count 213.0 136.0 0 338.0 134.0
## COUNTRY
## C18K Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 2.4 3.4 1.6 1.4 1.0 1.9
## somewhat weakened 4.7 2.5 3.3 2.1 1.0 3.8
## did not change 36.7 19.6 25.1 17.8 57.4 23.6
## somewhat strengthened 41.7 38.3 49.2 42.5 33.7 41.9
## strengthened a lot 14.5 36.2 20.8 36.3 6.9 28.8
## Total 100.0 100.0 100.0 100.1 100.0 100.0
## Count 660.0 326.0 183.0 146.0 101.0 313.0
## COUNTRY
## C18K Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.4 0.4 0.8 2.3 0.5 1.3 4.5
## somewhat weakened 1.5 3.5 6.1 4.6 3.3 4.0 19.3
## did not change 8.6 26.0 15.8 22.3 37.1 18.0 35.2
## somewhat strengthened 61.1 48.5 20.2 47.8 50.2 44.0 28.4
## strengthened a lot 28.4 21.6 57.1 22.9 9.0 32.7 12.5
## Total 100.0 100.0 100.0 99.9 100.1 100.0 99.9
## Count 476.0 227.0 247.0 345.0 614.0 150.0 88.0
## COUNTRY
## C18K Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 1.9 3.2 0.0 1.0 5.9 0.7
## somewhat weakened 2.3 7.9 4.3 2.3 14.3 2.0
## did not change 28.6 33.3 26.5 19.3 21.8 22.8
## somewhat strengthened 36.0 36.5 50.4 39.7 34.5 57.4
## strengthened a lot 31.2 19.0 18.8 37.7 23.5 17.2
## Total 100.0 99.9 100.0 100.0 100.0 100.1
## Count 308.0 63.0 117.0 305.0 119.0 448.0
## COUNTRY
## C18K New Zealand Norway Philippines Poland Portugal
## weakened a lot 0.3 0.7 0.7 NaN 0.6
## somewhat weakened 0.8 0.7 3.2 NaN 6.0
## did not change 18.4 23.9 13.6 NaN 32.5
## somewhat strengthened 49.5 61.5 44.1 NaN 44.8
## strengthened a lot 31.1 13.2 38.4 NaN 16.1
## Total 100.1 100.0 100.0 NaN 100.0
## Count 380.0 410.0 279.0 0 317.0
## COUNTRY
## C18K Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 2.6 NaN 8.7 1.4 3.4 3.1
## somewhat weakened 20.9 NaN 9.3 6.3 7.1 5.5
## did not change 36.1 NaN 28.5 20.7 30.8 7.9
## somewhat strengthened 28.8 NaN 25.6 36.5 40.5 52.8
## strengthened a lot 11.5 NaN 27.9 35.1 18.2 30.7
## Total 99.9 NaN 100.0 100.0 100.0 100.0
## Count 191.0 0 172.0 285.0 351.0 127.0
## COUNTRY
## C18K Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 13.8 0.0 0.8 2.3
## somewhat weakened 31.0 1.2 1.6 4.6
## did not change 15.5 14.6 17.3 21.4
## somewhat strengthened 31.0 46.2 59.6 45.7
## strengthened a lot 8.6 38.1 20.8 26.0
## Total 99.9 100.1 100.1 100.0
## Count 58.0 260.0 255.0 346.0
## COUNTRY
## C18K Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 0.3 0.5 NaN 10.5 0.6
## somewhat weakened NaN 1.1 1.9 NaN 25.4 0.0
## did not change NaN 22.2 28.4 NaN 38.7 19.5
## somewhat strengthened NaN 52.6 50.4 NaN 21.0 53.5
## strengthened a lot NaN 23.8 18.8 NaN 4.4 26.4
## Total NaN 100.0 100.0 NaN 100.0 100.0
## Count 0 618.0 750.0 0 248.0 159.0
## COUNTRY
## C18K Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 1.9 15.6 NaN 1.2 3.2 NaN
## somewhat weakened 7.5 10.2 NaN 3.0 7.2 NaN
## did not change 17.0 14.8 NaN 22.1 30.0 NaN
## somewhat strengthened 47.2 38.3 NaN 48.2 44.2 NaN
## strengthened a lot 26.4 21.1 NaN 25.4 15.3 NaN
## Total 100.0 100.0 NaN 99.9 99.9 NaN
## Count 53.0 128.0 0 570.0 373.0 0#Audience feedback#
colPercents(xtabs(~C18L+COUNTRY, data=wjsn))## COUNTRY
## C18L Albania Argentina Australia Austria Bangladesh
## weakened a lot 4.7 0.7 0.0 0.7 3.7
## somewhat weakened 5.2 3.1 2.1 2.6 6.4
## did not change 26.8 17.5 13.1 27.9 19.6
## somewhat strengthened 49.8 40.1 48.1 47.3 42.5
## strengthened a lot 13.6 38.7 36.7 21.6 27.9
## Total 100.1 100.1 100.0 100.1 100.1
## Count 213.0 292.0 466.0 700.0 219.0
## COUNTRY
## C18L Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 0.5 6.1 4.6 0.0 NaN NaN
## somewhat weakened 6.0 12.2 6.5 0.8 NaN NaN
## did not change 38.2 18.4 23.1 7.8 NaN NaN
## somewhat strengthened 43.1 24.5 38.9 41.5 NaN NaN
## strengthened a lot 12.2 38.8 26.9 50.0 NaN NaN
## Total 100.0 100.0 100.0 100.1 NaN NaN
## Count 385.0 49.0 108.0 258.0 0 0
## COUNTRY
## C18L Canada Chile China Colombia Croatia Cyprus
## weakened a lot 0.6 3.3 1.4 3.4 3.3 0.0
## somewhat weakened 3.5 4.8 4.1 5.7 12.2 0.0
## did not change 24.0 23.9 18.1 18.9 26.3 4.5
## somewhat strengthened 46.5 38.3 45.6 35.8 42.6 18.2
## strengthened a lot 25.3 29.7 30.9 36.1 15.7 77.3
## Total 99.9 100.0 100.1 99.9 100.1 100.0
## Count 312.0 209.0 443.0 349.0 517.0 154.0
## COUNTRY
## C18L Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 0.9 NaN 1.4 0.9 1.9
## somewhat weakened 7.9 NaN 1.4 8.0 0.9
## did not change 36.4 NaN 13.9 17.7 8.5
## somewhat strengthened 43.0 NaN 42.6 46.5 43.4
## strengthened a lot 11.7 NaN 40.7 27.0 45.3
## Total 99.9 NaN 100.0 100.1 100.0
## Count 214.0 0 216.0 226.0 106.0
## COUNTRY
## C18L Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 0.5 7.3 NaN 0.9 0.7
## somewhat weakened 4.2 11.7 NaN 7.5 2.9
## did not change 28.5 18.2 NaN 39.9 26.3
## somewhat strengthened 50.9 46.0 NaN 45.0 48.9
## strengthened a lot 15.9 16.8 NaN 6.6 21.2
## Total 100.0 100.0 NaN 99.9 100.0
## Count 214.0 137.0 0 333.0 137.0
## COUNTRY
## C18L Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 0.7 2.7 2.7 0.0 0.0 1.9
## somewhat weakened 4.7 2.7 2.7 6.0 3.5 3.8
## did not change 30.8 16.9 30.1 20.7 39.5 18.1
## somewhat strengthened 41.0 36.3 47.3 40.0 43.9 40.3
## strengthened a lot 22.7 41.4 17.2 33.3 13.2 35.9
## Total 99.9 100.0 100.0 100.0 100.1 100.0
## Count 675.0 331.0 186.0 150.0 114.0 315.0
## COUNTRY
## C18L Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.2 1.3 2.0 2.0 0.3 0.7 2.2
## somewhat weakened 1.2 1.8 4.3 3.7 3.1 1.3 15.7
## did not change 10.2 27.2 17.8 25.4 33.1 9.9 32.6
## somewhat strengthened 58.7 48.2 20.2 43.2 54.4 42.8 36.0
## strengthened a lot 29.7 21.4 55.7 25.7 9.1 45.4 13.5
## Total 100.0 99.9 100.0 100.0 100.0 100.1 100.0
## Count 482.0 224.0 253.0 354.0 616.0 152.0 89.0
## COUNTRY
## C18L Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 2.0 3.1 0.0 0.3 1.7 0.7
## somewhat weakened 10.5 4.7 3.4 2.0 4.2 2.7
## did not change 21.6 10.9 19.3 12.7 18.5 20.6
## somewhat strengthened 43.0 45.3 52.1 38.9 45.4 61.1
## strengthened a lot 23.0 35.9 25.2 46.1 30.3 15.0
## Total 100.1 99.9 100.0 100.0 100.1 100.1
## Count 305.0 64.0 119.0 306.0 119.0 452.0
## COUNTRY
## C18L New Zealand Norway Philippines Poland Portugal
## weakened a lot 0.5 0.5 0.4 NaN 0.3
## somewhat weakened 3.1 1.6 3.6 NaN 4.7
## did not change 12.6 22.4 9.0 NaN 24.3
## somewhat strengthened 51.5 61.6 43.5 NaN 47.9
## strengthened a lot 32.2 13.9 43.5 NaN 22.7
## Total 99.9 100.0 100.0 NaN 99.9
## Count 388.0 425.0 278.0 0 317.0
## COUNTRY
## C18L Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 2.6 NaN 4.7 0.4 2.8 0.0
## somewhat weakened 18.8 NaN 4.1 7.0 6.5 2.3
## did not change 28.3 NaN 16.5 19.3 29.0 11.5
## somewhat strengthened 36.1 NaN 35.9 38.6 41.5 42.7
## strengthened a lot 14.1 NaN 38.8 34.7 20.2 43.5
## Total 99.9 NaN 100.0 100.0 100.0 100.0
## Count 191.0 0 170.0 285.0 352.0 131.0
## COUNTRY
## C18L Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 10.3 1.5 1.2 0.9
## somewhat weakened 36.2 1.9 2.4 3.5
## did not change 13.8 14.8 17.3 15.6
## somewhat strengthened 34.5 42.6 58.8 52.6
## strengthened a lot 5.2 39.2 20.4 27.5
## Total 100.0 100.0 100.1 100.1
## Count 58.0 263.0 255.0 346.0
## COUNTRY
## C18L Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 0.6 0.5 NaN 19.2 0.6
## somewhat weakened NaN 1.0 3.0 NaN 15.4 0.0
## did not change NaN 29.4 37.0 NaN 39.7 11.9
## somewhat strengthened NaN 53.2 44.2 NaN 18.4 52.8
## strengthened a lot NaN 15.8 15.3 NaN 7.3 34.6
## Total NaN 100.0 100.0 NaN 100.0 99.9
## Count 0 620.0 744.0 0 234.0 159.0
## COUNTRY
## C18L Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 1.9 16.5 NaN 0.7 0.8 NaN
## somewhat weakened 3.8 8.7 NaN 1.4 4.5 NaN
## did not change 15.1 13.4 NaN 20.6 26.5 NaN
## somewhat strengthened 49.1 37.0 NaN 50.2 49.9 NaN
## strengthened a lot 30.2 24.4 NaN 27.2 18.3 NaN
## Total 100.1 100.0 NaN 100.1 100.0 NaN
## Count 53.0 127.0 0 578.0 377.0 0#Pressure toward sensational news#
colPercents(xtabs(~C18M+COUNTRY, data=wjsn))## COUNTRY
## C18M Albania Argentina Australia Austria Bangladesh
## weakened a lot 0.9 4.5 0.4 1.3 16.6
## somewhat weakened 4.7 5.2 4.5 2.0 18.0
## did not change 18.6 30.2 40.6 38.7 26.1
## somewhat strengthened 41.4 25.8 42.8 41.4 24.6
## strengthened a lot 34.4 34.4 11.7 16.6 14.7
## Total 100.0 100.1 100.0 100.0 100.0
## Count 215.0 291.0 463.0 693.0 211.0
## COUNTRY
## C18M Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 3.0 6.2 7.5 2.3 NaN NaN
## somewhat weakened 5.0 10.4 15.0 3.9 NaN NaN
## did not change 38.2 27.1 24.3 30.1 NaN NaN
## somewhat strengthened 36.7 25.0 31.8 37.1 NaN NaN
## strengthened a lot 17.2 31.2 21.5 26.6 NaN NaN
## Total 100.1 99.9 100.1 100.0 NaN NaN
## Count 401.0 48.0 107.0 259.0 0 0
## COUNTRY
## C18M Canada Chile China Colombia Croatia Cyprus
## weakened a lot 2.5 18.5 4.5 9.6 0.0 0.0
## somewhat weakened 4.5 19.0 7.2 11.7 1.3 1.3
## did not change 46.2 24.4 34.6 19.9 8.9 45.4
## somewhat strengthened 32.2 16.6 37.3 26.3 25.0 11.2
## strengthened a lot 14.6 21.5 16.3 32.5 64.8 42.1
## Total 100.0 100.0 99.9 100.0 100.0 100.0
## Count 314.0 205.0 442.0 342.0 529.0 152.0
## COUNTRY
## C18M Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 0.9 NaN 17.8 3.5 6.7
## somewhat weakened 5.2 NaN 16.8 7.5 12.4
## did not change 24.5 NaN 26.9 16.8 27.6
## somewhat strengthened 49.1 NaN 18.8 45.1 18.1
## strengthened a lot 20.3 NaN 19.7 27.0 35.2
## Total 100.0 NaN 100.0 99.9 100.0
## Count 212.0 0 208.0 226.0 105.0
## COUNTRY
## C18M Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 1.9 8.4 NaN 0.6 1.4
## somewhat weakened 4.4 13.7 NaN 3.9 1.4
## did not change 35.9 30.5 NaN 23.9 18.1
## somewhat strengthened 35.9 26.7 NaN 49.0 41.3
## strengthened a lot 21.8 20.6 NaN 22.7 37.7
## Total 99.9 99.9 NaN 100.1 99.9
## Count 206.0 131.0 0 335.0 138.0
## COUNTRY
## C18M Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 2.7 5.0 2.3 0.7 0.0 5.7
## somewhat weakened 3.1 7.7 4.6 1.3 5.4 7.0
## did not change 34.6 32.2 44.6 18.7 68.5 19.0
## somewhat strengthened 43.7 26.6 37.7 35.3 23.4 38.0
## strengthened a lot 15.9 28.5 10.9 44.0 2.7 30.4
## Total 100.0 100.0 100.1 100.0 100.0 100.1
## Count 668.0 323.0 175.0 150.0 111.0 316.0
## COUNTRY
## C18M Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 3.0 1.8 1.2 0.6 0.8 2.0 0.0
## somewhat weakened 6.4 3.1 2.4 1.7 5.5 7.4 6.7
## did not change 26.7 38.9 25.1 29.5 58.1 18.2 20.0
## somewhat strengthened 47.4 38.9 20.0 31.8 28.0 34.5 35.6
## strengthened a lot 16.5 17.3 51.4 36.4 7.5 37.8 37.8
## Total 100.0 100.0 100.1 100.0 99.9 99.9 100.1
## Count 468.0 226.0 255.0 346.0 614.0 148.0 90.0
## COUNTRY
## C18M Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 1.0 8.2 0.9 8.3 10.9 0.7
## somewhat weakened 5.5 9.8 2.6 11.2 10.1 1.9
## did not change 21.9 18.0 29.9 29.4 13.4 37.8
## somewhat strengthened 38.7 44.3 42.7 24.1 30.3 41.3
## strengthened a lot 32.9 19.7 23.9 27.1 35.3 18.3
## Total 100.0 100.0 100.0 100.1 100.0 100.0
## Count 292.0 61.0 117.0 303.0 119.0 431.0
## COUNTRY
## C18M New Zealand Norway Philippines Poland Portugal
## weakened a lot 1.0 1.0 2.9 NaN 6.0
## somewhat weakened 0.8 4.1 7.6 NaN 7.9
## did not change 17.1 33.3 27.3 NaN 33.5
## somewhat strengthened 42.8 40.5 39.9 NaN 37.7
## strengthened a lot 38.3 21.1 22.3 NaN 14.9
## Total 100.0 100.0 100.0 NaN 100.0
## Count 381.0 417.0 278.0 0 316.0
## COUNTRY
## C18M Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 3.1 NaN 16.1 1.4 2.8 2.4
## somewhat weakened 10.5 NaN 18.4 8.8 3.4 4.0
## did not change 31.9 NaN 21.8 31.2 12.8 16.8
## somewhat strengthened 35.6 NaN 19.0 31.6 29.3 44.8
## strengthened a lot 18.8 NaN 24.7 27.0 51.7 32.0
## Total 99.9 NaN 100.0 100.0 100.0 100.0
## Count 191.0 0 174.0 285.0 352.0 125.0
## COUNTRY
## C18M Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 10.5 0.8 4.3 3.2
## somewhat weakened 22.8 3.4 11.8 3.4
## did not change 40.4 23.9 45.5 24.1
## somewhat strengthened 21.1 37.9 29.8 39.1
## strengthened a lot 5.3 34.1 8.6 30.2
## Total 100.1 100.1 100.0 100.0
## Count 57.0 264.0 255.0 348.0
## COUNTRY
## C18M Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 0.6 0.4 NaN 14.9 0.0
## somewhat weakened NaN 1.0 2.0 NaN 29.3 0.0
## did not change NaN 38.8 29.1 NaN 28.9 22.6
## somewhat strengthened NaN 40.9 47.5 NaN 24.5 55.5
## strengthened a lot NaN 18.6 21.0 NaN 2.4 21.9
## Total NaN 99.9 100.0 NaN 100.0 100.0
## Count 0 618.0 753.0 0 249.0 155.0
## COUNTRY
## C18M Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 3.8 16.3 NaN 2.3 10.3 NaN
## somewhat weakened 11.3 15.4 NaN 7.7 15.4 NaN
## did not change 28.3 14.6 NaN 38.2 40.3 NaN
## somewhat strengthened 28.3 30.9 NaN 31.2 23.6 NaN
## strengthened a lot 28.3 22.8 NaN 20.7 10.3 NaN
## Total 100.0 100.0 NaN 100.1 99.9 NaN
## Count 53.0 123.0 0 571.0 377.0 0#Journalism is in a state of change. Please tell me whether you think there has been an increase or a decrease in the following aspects of work in [add country]. #
#Journalists’ freedom to make editorial decisions#
colPercents(xtabs(~C19A+COUNTRY, data=wjsn))## COUNTRY
## C19A Albania Argentina Australia Austria Bangladesh
## weakened a lot 4.7 19.3 3.1 5.3 4.4
## somewhat weakened 18.1 21.4 17.6 31.1 10.1
## did not change 33.5 32.2 59.3 50.4 20.7
## somewhat strengthened 37.2 21.7 17.8 11.7 33.9
## strengthened a lot 6.5 5.4 2.2 1.4 30.8
## Total 100.0 100.0 100.0 99.9 99.9
## Count 215.0 295.0 454.0 698.0 227.0
## COUNTRY
## C19A Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 5.7 0 9.8 6.2 NaN NaN
## somewhat weakened 27.2 4 12.5 28.2 NaN NaN
## did not change 54.5 24 21.4 37.1 NaN NaN
## somewhat strengthened 10.6 50 25.9 25.5 NaN NaN
## strengthened a lot 2.0 22 30.4 3.1 NaN NaN
## Total 100.0 100 100.0 100.1 NaN NaN
## Count 404.0 50 112.0 259.0 0 0
## COUNTRY
## C19A Canada Chile China Colombia Croatia Cyprus
## weakened a lot 4.6 10.8 10.1 12.3 19.9 0.7
## somewhat weakened 24.7 19.8 28.2 14.5 28.3 6.6
## did not change 54.3 42.0 29.5 33.0 37.1 39.5
## somewhat strengthened 13.5 20.3 27.9 20.8 12.7 21.7
## strengthened a lot 3.0 7.1 4.3 19.4 2.0 31.6
## Total 100.1 100.0 100.0 100.0 100.0 100.1
## Count 304.0 212.0 444.0 351.0 502.0 152.0
## COUNTRY
## C19A Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 0.5 NaN 16.1 3.1 5.7
## somewhat weakened 17.1 NaN 18.9 1.8 2.8
## did not change 58.5 NaN 21.7 33.5 48.1
## somewhat strengthened 20.0 NaN 22.6 33.5 32.1
## strengthened a lot 3.9 NaN 20.7 28.2 11.3
## Total 100.0 NaN 100.0 100.1 100.0
## Count 205.0 0 217.0 227.0 106.0
## COUNTRY
## C19A Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 3.0 8.2 NaN 4.6 20.1
## somewhat weakened 14.1 14.2 NaN 39.7 25.4
## did not change 53.3 22.4 NaN 41.8 42.5
## somewhat strengthened 25.1 41.0 NaN 12.9 10.4
## strengthened a lot 4.5 14.2 NaN 0.9 1.5
## Total 100.0 100.0 NaN 99.9 99.9
## Count 199.0 134.0 0 325.0 134.0
## COUNTRY
## C19A Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 5.7 28.5 5.6 15.2 1.8 9.1
## somewhat weakened 31.9 22.8 33.0 20.0 8.9 16.3
## did not change 49.6 27.6 43.6 33.1 42.9 25.4
## somewhat strengthened 10.8 11.0 16.8 24.1 42.0 31.7
## strengthened a lot 1.9 10.1 1.1 7.6 4.5 17.6
## Total 99.9 100.0 100.1 100.0 100.1 100.1
## Count 667.0 337.0 179.0 145.0 112.0 319.0
## COUNTRY
## C19A Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 1.0 4.9 23.7 27.2 2.6 2.6 10.2
## somewhat weakened 6.2 35.9 16.3 42.5 26.7 13.1 13.3
## did not change 15.0 42.2 34.2 24.6 57.6 12.4 28.6
## somewhat strengthened 49.5 13.9 16.0 5.5 11.8 37.9 38.8
## strengthened a lot 28.3 3.1 9.7 0.3 1.3 34.0 9.2
## Total 100.0 100.0 99.9 100.1 100.0 100.0 100.1
## Count 481.0 223.0 257.0 346.0 618.0 153.0 98.0
## COUNTRY
## C19A Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 1.7 1.6 1.7 7.8 10.9 3.1
## somewhat weakened 15.1 0.0 5.8 12.1 21.8 43.2
## did not change 42.1 17.2 32.2 26.5 16.8 43.4
## somewhat strengthened 31.2 40.6 47.9 35.6 33.6 9.2
## strengthened a lot 9.9 40.6 12.4 18.0 16.8 1.2
## Total 100.0 100.0 100.0 100.0 99.9 100.1
## Count 292.0 64.0 121.0 306.0 119.0 426.0
## COUNTRY
## C19A New Zealand Norway Philippines Poland Portugal
## weakened a lot 10.0 2.3 3.3 NaN 8.4
## somewhat weakened 36.3 35.5 13.9 NaN 32.5
## did not change 31.2 44.4 35.8 NaN 37.5
## somewhat strengthened 19.2 16.4 34.7 NaN 16.2
## strengthened a lot 3.3 1.3 12.4 NaN 5.3
## Total 100.0 99.9 100.1 NaN 99.9
## Count 369.0 383.0 274.0 0 320.0
## COUNTRY
## C19A Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 0.5 NaN 13.9 18.6 24.3 5.3
## somewhat weakened 7.9 NaN 24.9 28.8 20.3 9.0
## did not change 17.3 NaN 31.2 39.3 35.1 16.5
## somewhat strengthened 48.2 NaN 16.2 11.2 16.2 41.4
## strengthened a lot 26.2 NaN 13.9 2.1 4.1 27.8
## Total 100.1 NaN 100.1 100.0 100.0 100.0
## Count 191.0 0 173.0 285.0 345.0 133.0
## COUNTRY
## C19A Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 3.6 6.5 13.4 17.6
## somewhat weakened 23.2 21.7 23.2 37.9
## did not change 48.2 35.4 33.5 32.7
## somewhat strengthened 23.2 28.9 25.6 10.4
## strengthened a lot 1.8 7.6 4.3 1.4
## Total 100.0 100.1 100.0 100.0
## Count 56.0 263.0 254.0 346.0
## COUNTRY
## C19A Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 6.8 5.7 NaN 5.6 0.0
## somewhat weakened NaN 34.6 31.4 NaN 26.6 3.2
## did not change NaN 51.0 52.8 NaN 47.6 13.9
## somewhat strengthened NaN 6.8 8.8 NaN 18.1 60.1
## strengthened a lot NaN 0.8 1.3 NaN 2.0 22.8
## Total NaN 100.0 100.0 NaN 99.9 100.0
## Count 0 621.0 752.0 0 248.0 158.0
## COUNTRY
## C19A Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 37.7 4.8 NaN 8.1 1.9 NaN
## somewhat weakened 32.1 14.3 NaN 32.4 13.9 NaN
## did not change 20.8 28.6 NaN 39.6 56.7 NaN
## somewhat strengthened 9.4 38.1 NaN 17.0 23.5 NaN
## strengthened a lot 0.0 14.3 NaN 2.8 4.0 NaN
## Total 100.0 100.1 NaN 99.9 100.0 NaN
## Count 53.0 21.0 0 540.0 374.0 0#Average working hours of journalists#
colPercents(xtabs(~C19B+COUNTRY, data=wjsn))## COUNTRY
## C19B Albania Argentina Australia Austria Bangladesh
## weakened a lot 3.7 1.0 0.2 1.6 1.8
## somewhat weakened 15.3 3.4 1.7 4.1 4.8
## did not change 41.4 23.0 21.0 20.3 17.2
## somewhat strengthened 31.2 36.1 51.0 42.6 44.1
## strengthened a lot 8.4 36.4 26.0 31.4 32.2
## Total 100.0 99.9 99.9 100.0 100.1
## Count 215.0 291.0 461.0 704.0 227.0
## COUNTRY
## C19B Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 1.5 0 0.9 1.2 NaN NaN
## somewhat weakened 4.4 0 1.8 6.2 NaN NaN
## did not change 23.3 24 23.4 16.6 NaN NaN
## somewhat strengthened 46.7 44 33.3 51.0 NaN NaN
## strengthened a lot 24.1 32 40.5 25.1 NaN NaN
## Total 100.0 100 99.9 100.1 NaN NaN
## Count 407.0 50 111.0 259.0 0 0
## COUNTRY
## C19B Canada Chile China Colombia Croatia Cyprus
## weakened a lot 0.3 2.3 12.4 14.6 1.4 0.0
## somewhat weakened 1.6 7.5 25.1 12.9 3.1 2.6
## did not change 22.0 24.8 17.2 27.4 14.2 25.3
## somewhat strengthened 50.2 28.0 26.6 22.9 41.4 39.6
## strengthened a lot 25.9 37.4 18.7 22.3 40.0 32.5
## Total 100.0 100.0 100.0 100.1 100.1 100.0
## Count 305.0 214.0 443.0 350.0 515.0 154.0
## COUNTRY
## C19B Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 0.0 NaN 2.3 4.4 0.0
## somewhat weakened 2.8 NaN 7.4 4.8 1.0
## did not change 22.0 NaN 36.1 46.1 29.5
## somewhat strengthened 43.9 NaN 28.2 28.5 28.6
## strengthened a lot 31.3 NaN 25.9 16.2 41.0
## Total 100.0 NaN 99.9 100.0 100.1
## Count 214.0 0 216.0 228.0 105.0
## COUNTRY
## C19B Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 1.0 1.5 NaN 1.2 10.3
## somewhat weakened 4.9 11.9 NaN 3.1 5.9
## did not change 36.1 24.4 NaN 29.4 14.0
## somewhat strengthened 33.7 42.2 NaN 54.3 36.8
## strengthened a lot 24.4 20.0 NaN 12.0 33.1
## Total 100.1 100.0 NaN 100.0 100.1
## Count 205.0 135.0 0 326.0 136.0
## COUNTRY
## C19B Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 0.0 7.1 1.1 0.0 0.0 3.4
## somewhat weakened 1.9 2.7 5.9 4.2 11.1 2.2
## did not change 24.1 11.3 23.9 14.6 30.8 14.7
## somewhat strengthened 46.6 18.5 45.2 40.3 45.3 35.0
## strengthened a lot 27.4 60.4 23.9 41.0 12.8 44.7
## Total 100.0 100.0 100.0 100.1 100.0 100.0
## Count 676.0 336.0 188.0 144.0 117.0 320.0
## COUNTRY
## C19B Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.2 0.4 3.2 4.3 0.6 0.7 22.2
## somewhat weakened 2.1 0.9 4.4 6.4 10.6 7.8 14.1
## did not change 23.5 8.4 16.5 19.4 30.6 30.1 23.2
## somewhat strengthened 50.5 47.1 18.5 34.8 34.0 30.7 30.3
## strengthened a lot 23.7 43.1 57.4 35.1 24.2 30.7 10.1
## Total 100.0 99.9 100.0 100.0 100.0 100.0 99.9
## Count 481.0 225.0 249.0 345.0 621.0 153.0 99.0
## COUNTRY
## C19B Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 0.7 0.0 0.8 1.3 1.7 1.1
## somewhat weakened 7.2 3.3 5.0 4.6 5.9 9.4
## did not change 39.0 25.0 30.6 19.3 16.8 23.1
## somewhat strengthened 41.4 41.7 43.8 28.5 28.6 56.5
## strengthened a lot 11.6 30.0 19.8 46.2 47.1 9.8
## Total 99.9 100.0 100.0 99.9 100.1 99.9
## Count 292.0 60.0 121.0 305.0 119.0 437.0
## COUNTRY
## C19B New Zealand Norway Philippines Poland Portugal
## weakened a lot 0.8 1.3 0.4 NaN 0.3
## somewhat weakened 1.6 11.1 4.3 NaN 1.2
## did not change 17.3 29.8 21.7 NaN 20.9
## somewhat strengthened 53.7 51.4 41.7 NaN 38.4
## strengthened a lot 26.6 6.4 31.9 NaN 39.1
## Total 100.0 100.0 100.0 NaN 99.9
## Count 369.0 389.0 276.0 0 320.0
## COUNTRY
## C19B Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 0.5 NaN 2.3 3.5 2.3 1.5
## somewhat weakened 1.6 NaN 2.9 9.1 2.3 5.3
## did not change 27.2 NaN 15.7 39.6 28.3 23.5
## somewhat strengthened 51.3 NaN 28.5 34.0 36.3 37.1
## strengthened a lot 19.4 NaN 50.6 13.7 30.9 32.6
## Total 100.0 NaN 100.0 99.9 100.1 100.0
## Count 191.0 0 172.0 285.0 350.0 132.0
## COUNTRY
## C19B Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 13.6 1.1 0.0 2.6
## somewhat weakened 23.7 5.6 9.1 1.7
## did not change 20.3 20.3 23.2 13.3
## somewhat strengthened 28.8 36.1 39.0 34.9
## strengthened a lot 13.6 36.8 28.7 47.6
## Total 100.0 99.9 100.0 100.1
## Count 59.0 266.0 254.0 347.0
## COUNTRY
## C19B Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 1.1 0.5 NaN 10.0 0.0
## somewhat weakened NaN 2.9 2.0 NaN 8.0 3.2
## did not change NaN 37.5 27.0 NaN 28.9 22.2
## somewhat strengthened NaN 45.3 47.5 NaN 30.5 57.6
## strengthened a lot NaN 13.2 22.9 NaN 22.5 17.1
## Total NaN 100.0 99.9 NaN 99.9 100.1
## Count 0 622.0 755.0 0 249.0 158.0
## COUNTRY
## C19B Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 1.9 5 NaN 0.2 0.5 NaN
## somewhat weakened 3.7 5 NaN 1.1 3.7 NaN
## did not change 24.1 35 NaN 17.6 21.7 NaN
## somewhat strengthened 38.9 30 NaN 43.2 40.2 NaN
## strengthened a lot 31.5 25 NaN 37.9 33.9 NaN
## Total 100.1 100 NaN 100.0 100.0 NaN
## Count 54.0 20 0 556.0 378.0 0#Time available for researching stories#
colPercents(xtabs(~C19C+COUNTRY, data=wjsn))## COUNTRY
## C19C Albania Argentina Australia Austria Bangladesh
## weakened a lot 5.6 35.2 31.9 37.8 6.2
## somewhat weakened 14.5 31.1 47.0 49.2 12.8
## did not change 36.0 22.2 15.1 9.1 17.6
## somewhat strengthened 36.4 8.9 3.7 2.0 38.8
## strengthened a lot 7.5 2.7 2.4 2.0 24.7
## Total 100.0 100.1 100.1 100.1 100.1
## Count 214.0 293.0 464.0 712.0 227.0
## COUNTRY
## C19C Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 28.3 0 6.3 28.8 NaN NaN
## somewhat weakened 50.4 4 21.6 55.6 NaN NaN
## did not change 12.8 48 29.7 7.8 NaN NaN
## somewhat strengthened 6.4 38 29.7 6.2 NaN NaN
## strengthened a lot 2.2 10 12.6 1.6 NaN NaN
## Total 100.1 100 99.9 100.0 NaN NaN
## Count 407.0 50 111.0 257.0 0 0
## COUNTRY
## C19C Canada Chile China Colombia Croatia Cyprus
## weakened a lot 30.4 23.8 8.8 21.4 40.3 14.4
## somewhat weakened 48.1 36.4 28.4 24.2 43.4 42.5
## did not change 14.4 26.6 22.8 25.4 11.1 27.5
## somewhat strengthened 5.1 9.8 29.1 14.8 2.9 12.4
## strengthened a lot 1.9 3.3 10.8 14.2 2.3 3.3
## Total 99.9 99.9 99.9 100.0 100.0 100.1
## Count 312.0 214.0 443.0 351.0 514.0 153.0
## COUNTRY
## C19C Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 10.9 NaN 8.7 1.8 12.4
## somewhat weakened 50.7 NaN 19.7 2.6 29.5
## did not change 31.3 NaN 29.8 39.6 27.6
## somewhat strengthened 6.6 NaN 25.7 36.1 18.1
## strengthened a lot 0.5 NaN 16.1 19.8 12.4
## Total 100.0 NaN 100.0 99.9 100.0
## Count 211.0 0 218.0 227.0 105.0
## COUNTRY
## C19C Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 19.8 13.1 NaN 25.2 60.6
## somewhat weakened 34.4 17.5 NaN 54.6 27.0
## did not change 30.7 27.7 NaN 13.4 7.3
## somewhat strengthened 10.4 30.7 NaN 5.6 2.2
## strengthened a lot 4.7 10.9 NaN 1.2 2.9
## Total 100.0 99.9 NaN 100.0 100.0
## Count 212.0 137.0 0 337.0 137.0
## COUNTRY
## C19C Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 27.8 46.4 7.1 15.8 22.1 10.0
## somewhat weakened 49.9 27.6 37.7 41.8 40.2 31.7
## did not change 16.2 16.4 27.3 21.2 27.0 24.1
## somewhat strengthened 4.1 4.5 24.6 17.8 10.7 22.3
## strengthened a lot 2.1 5.2 3.3 3.4 0.0 11.9
## Total 100.1 100.1 100.0 100.0 100.0 100.0
## Count 680.0 330.0 183.0 146.0 122.0 319.0
## COUNTRY
## C19C Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 6.9 39.2 59.5 34.4 15.3 4.7 17.3
## somewhat weakened 22.3 50.5 21.8 49.7 44.0 16.8 15.3
## did not change 31.5 8.1 13.2 13.1 32.1 28.2 30.6
## somewhat strengthened 30.2 1.8 3.1 2.3 7.9 37.6 28.6
## strengthened a lot 9.2 0.5 2.3 0.6 0.6 12.8 8.2
## Total 100.1 100.1 99.9 100.1 99.9 100.1 100.0
## Count 480.0 222.0 257.0 352.0 620.0 149.0 98.0
## COUNTRY
## C19C Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 15.9 8.1 2.5 8.9 19.3 18.6
## somewhat weakened 42.1 14.5 12.4 23.0 29.4 70.0
## did not change 21.5 35.5 35.5 25.6 25.2 8.6
## somewhat strengthened 16.9 32.3 38.8 24.9 19.3 2.2
## strengthened a lot 3.6 9.7 10.7 17.7 6.7 0.7
## Total 100.0 100.1 99.9 100.1 99.9 100.1
## Count 302.0 62.0 121.0 305.0 119.0 456.0
## COUNTRY
## C19C New Zealand Norway Philippines Poland Portugal
## weakened a lot 42.1 27.0 7.2 NaN 40.1
## somewhat weakened 45.5 54.9 34.8 NaN 43.2
## did not change 8.0 13.4 22.1 NaN 10.1
## somewhat strengthened 3.6 4.1 28.3 NaN 3.5
## strengthened a lot 0.8 0.7 7.6 NaN 3.2
## Total 100.0 100.1 100.0 NaN 100.1
## Count 387.0 419.0 276.0 0 317.0
## COUNTRY
## C19C Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 0.5 NaN 25.7 19.4 24.1 7.6
## somewhat weakened 7.3 NaN 39.8 32.0 34.4 10.7
## did not change 24.6 NaN 20.5 35.9 29.8 20.6
## somewhat strengthened 41.9 NaN 9.4 11.3 8.3 40.5
## strengthened a lot 25.7 NaN 4.7 1.4 3.4 20.6
## Total 100.0 NaN 100.1 100.0 100.0 100.0
## Count 191.0 0 171.0 284.0 349.0 131.0
## COUNTRY
## C19C Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 1.7 34.3 15.4 40.8
## somewhat weakened 20.3 27.7 37.0 45.4
## did not change 33.9 19.6 33.1 10.3
## somewhat strengthened 35.6 9.6 12.6 2.0
## strengthened a lot 8.5 8.9 2.0 1.4
## Total 100.0 100.1 100.1 99.9
## Count 59.0 271.0 254.0 348.0
## COUNTRY
## C19C Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 30.2 31.8 NaN 4.8 0.6
## somewhat weakened NaN 53.7 47.1 NaN 38.2 8.2
## did not change NaN 13.0 15.1 NaN 30.9 20.3
## somewhat strengthened NaN 2.7 4.5 NaN 19.7 59.5
## strengthened a lot NaN 0.3 1.5 NaN 6.4 11.4
## Total NaN 99.9 100.0 NaN 100.0 100.0
## Count 0 622.0 754.0 0 249.0 158.0
## COUNTRY
## C19C Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 24.1 10 NaN 36.0 21.8 NaN
## somewhat weakened 48.1 20 NaN 50.1 53.6 NaN
## did not change 20.4 35 NaN 11.3 17.0 NaN
## somewhat strengthened 7.4 30 NaN 2.4 5.3 NaN
## strengthened a lot 0.0 5 NaN 0.2 2.4 NaN
## Total 100.0 100 NaN 100.0 100.1 NaN
## Count 54.0 20 0 577.0 377.0 0#Interactions of journalists with their audiences#
colPercents(xtabs(~C19D+COUNTRY, data=wjsn))## COUNTRY
## C19D Albania Argentina Australia Austria Bangladesh
## weakened a lot 2.4 0.7 2.8 0.9 2.7
## somewhat weakened 8.0 5.5 8.3 7.5 10.3
## did not change 23.6 14.9 14.0 23.7 17.0
## somewhat strengthened 55.7 41.5 48.4 46.1 47.5
## strengthened a lot 10.4 37.4 26.5 21.8 22.4
## Total 100.1 100.0 100.0 100.0 99.9
## Count 212.0 289.0 457.0 696.0 223.0
## COUNTRY
## C19D Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 1.5 2 3.7 1.9 NaN NaN
## somewhat weakened 5.7 8 15.6 10.8 NaN NaN
## did not change 33.3 44 25.7 10.4 NaN NaN
## somewhat strengthened 43.7 30 29.4 44.8 NaN NaN
## strengthened a lot 15.9 16 25.7 32.0 NaN NaN
## Total 100.1 100 100.1 99.9 NaN NaN
## Count 403.0 50 109.0 259.0 0 0
## COUNTRY
## C19D Canada Chile China Colombia Croatia Cyprus
## weakened a lot 1.3 7.4 16.7 6.1 11.3 0.0
## somewhat weakened 2.5 16.7 23.2 15.9 22.1 0.7
## did not change 13.1 25.0 17.8 28.1 25.3 9.8
## somewhat strengthened 48.1 25.9 31.5 23.2 25.3 62.7
## strengthened a lot 35.0 25.0 10.8 26.7 16.0 26.8
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 314.0 216.0 444.0 345.0 506.0 153.0
## COUNTRY
## C19D Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 0.9 NaN 1.8 1.7 1.9
## somewhat weakened 6.2 NaN 9.6 3.4 7.6
## did not change 34.1 NaN 21.9 21.5 7.6
## somewhat strengthened 40.8 NaN 44.3 48.9 41.0
## strengthened a lot 18.0 NaN 22.4 24.5 41.9
## Total 100.0 NaN 100.0 100.0 100.0
## Count 211.0 0 219.0 237.0 105.0
## COUNTRY
## C19D Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 2.8 8.1 NaN 1.5 2.9
## somewhat weakened 12.2 10.4 NaN 7.2 2.9
## did not change 35.7 26.7 NaN 12.3 18.2
## somewhat strengthened 40.4 34.8 NaN 55.1 49.6
## strengthened a lot 8.9 20.0 NaN 23.8 26.3
## Total 100.0 100.0 NaN 99.9 99.9
## Count 213.0 135.0 0 332.0 137.0
## COUNTRY
## C19D Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 1.6 17.1 2.1 2.8 2.7 6.0
## somewhat weakened 8.9 18.0 6.4 13.8 14.3 11.9
## did not change 24.8 28.2 28.2 29.7 30.4 23.3
## somewhat strengthened 45.0 21.0 52.7 46.2 47.3 35.2
## strengthened a lot 19.7 15.6 10.6 7.6 5.4 23.6
## Total 100.0 99.9 100.0 100.1 100.1 100.0
## Count 674.0 333.0 188.0 145.0 112.0 318.0
## COUNTRY
## C19D Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.2 6.7 8.0 11.1 1.4 2.0 7.5
## somewhat weakened 6.2 17.0 5.7 16.0 15.5 5.3 10.8
## did not change 16.6 17.9 16.5 13.7 44.9 10.6 34.4
## somewhat strengthened 59.5 38.4 24.9 35.7 34.8 48.3 38.7
## strengthened a lot 17.4 20.1 44.8 23.4 3.4 33.8 8.6
## Total 99.9 100.1 99.9 99.9 100.0 100.0 100.0
## Count 482.0 224.0 261.0 350.0 621.0 151.0 93.0
## COUNTRY
## C19D Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 1.0 1.6 1.7 1.6 1.7 0.7
## somewhat weakened 10.1 4.7 7.5 6.9 13.4 10.5
## did not change 32.1 21.9 25.8 23.2 19.3 18.0
## somewhat strengthened 43.9 39.1 45.8 36.9 37.0 58.6
## strengthened a lot 12.8 32.8 19.2 31.4 28.6 12.3
## Total 99.9 100.1 100.0 100.0 100.0 100.1
## Count 296.0 64.0 120.0 306.0 119.0 456.0
## COUNTRY
## C19D New Zealand Norway Philippines Poland Portugal
## weakened a lot 5.5 2.8 0.7 NaN 1.3
## somewhat weakened 17.7 12.6 7.6 NaN 9.4
## did not change 13.3 23.1 9.1 NaN 24.5
## somewhat strengthened 41.1 49.5 48.9 NaN 47.3
## strengthened a lot 22.4 12.1 33.7 NaN 17.6
## Total 100.0 100.1 100.0 NaN 100.1
## Count 384.0 398.0 276.0 0 319.0
## COUNTRY
## C19D Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 0.0 NaN 5.3 4.6 10.3 0.7
## somewhat weakened 4.2 NaN 14.6 10.2 13.5 2.2
## did not change 25.7 NaN 23.4 26.3 32.8 9.7
## somewhat strengthened 43.5 NaN 26.9 38.9 31.9 38.8
## strengthened a lot 26.7 NaN 29.8 20.0 11.5 48.5
## Total 100.1 NaN 100.0 100.0 100.0 99.9
## Count 191.0 0 171.0 285.0 348.0 134.0
## COUNTRY
## C19D Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 6.8 2.6 4.7 1.4
## somewhat weakened 32.2 6.4 11.8 8.1
## did not change 11.9 9.4 28.7 13.9
## somewhat strengthened 40.7 35.2 42.9 54.5
## strengthened a lot 8.5 46.4 11.8 22.0
## Total 100.1 100.0 99.9 99.9
## Count 59.0 267.0 254.0 345.0
## COUNTRY
## C19D Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 3.1 2.1 NaN 0.8 0.0
## somewhat weakened NaN 11.2 6.1 NaN 5.6 2.5
## did not change NaN 28.8 30.4 NaN 34.1 20.3
## somewhat strengthened NaN 44.5 42.4 NaN 37.8 58.2
## strengthened a lot NaN 12.5 19.0 NaN 21.7 19.0
## Total NaN 100.1 100.0 NaN 100.0 100.0
## Count 0 618.0 753.0 0 249.0 158.0
## COUNTRY
## C19D Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 7.5 5 NaN 5.4 2.4 NaN
## somewhat weakened 24.5 15 NaN 16.1 6.9 NaN
## did not change 11.3 10 NaN 14.2 21.8 NaN
## somewhat strengthened 43.4 40 NaN 38.0 41.5 NaN
## strengthened a lot 13.2 30 NaN 26.3 27.4 NaN
## Total 99.9 100 NaN 100.0 100.0 NaN
## Count 53.0 20 0 571.0 376.0 0#The importance of technical skills#
colPercents(xtabs(~C19E+COUNTRY, data=wjsn))## COUNTRY
## C19E Albania Argentina Australia Austria Bangladesh
## weakened a lot 2.3 2.4 0.4 0.1 0.0
## somewhat weakened 0.9 5.1 2.4 1.6 1.8
## did not change 13.5 13.5 11.9 7.8 9.6
## somewhat strengthened 58.6 35.4 39.1 44.4 30.3
## strengthened a lot 24.7 43.8 46.2 46.1 58.3
## Total 100.0 100.2 100.0 100.0 100.0
## Count 215.0 297.0 463.0 709.0 228.0
## COUNTRY
## C19E Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 1.2 0 2.8 1.2 NaN NaN
## somewhat weakened 3.0 4 7.3 10.9 NaN NaN
## did not change 12.8 32 18.3 11.6 NaN NaN
## somewhat strengthened 48.4 38 42.2 39.5 NaN NaN
## strengthened a lot 34.6 26 29.4 36.8 NaN NaN
## Total 100.0 100 100.0 100.0 NaN NaN
## Count 405.0 50 109.0 258.0 0 0
## COUNTRY
## C19E Canada Chile China Colombia Croatia Cyprus
## weakened a lot 0.6 6.6 19.4 3.2 3.8 0.0
## somewhat weakened 2.2 8.9 22.1 2.6 5.5 0.0
## did not change 6.3 23.0 13.5 12.6 9.2 45.8
## somewhat strengthened 42.1 35.2 24.8 25.5 35.5 20.9
## strengthened a lot 48.7 26.3 20.1 56.2 46.0 33.3
## Total 99.9 100.0 99.9 100.1 100.0 100.0
## Count 318.0 213.0 443.0 349.0 524.0 153.0
## COUNTRY
## C19E Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 0.0 NaN 0.9 0.9 4.8
## somewhat weakened 0.5 NaN 3.2 1.7 2.9
## did not change 11.6 NaN 14.6 17.4 10.5
## somewhat strengthened 47.4 NaN 40.2 48.9 33.3
## strengthened a lot 40.5 NaN 41.1 31.1 48.6
## Total 100.0 NaN 100.0 100.0 100.1
## Count 215.0 0 219.0 235.0 105.0
## COUNTRY
## C19E Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 0.0 5.1 NaN 0.0 0.0
## somewhat weakened 1.4 6.6 NaN 0.3 0.7
## did not change 8.8 16.8 NaN 4.4 7.9
## somewhat strengthened 45.6 40.9 NaN 42.9 46.4
## strengthened a lot 44.2 30.7 NaN 52.4 45.0
## Total 100.0 100.1 NaN 100.0 100.0
## Count 217.0 137.0 0 338.0 140.0
## COUNTRY
## C19E Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 0.0 0.9 2.2 0.0 0.8 1.6
## somewhat weakened 0.7 0.3 8.9 4.0 0.0 3.7
## did not change 6.0 4.8 33.5 13.3 9.2 11.2
## somewhat strengthened 40.9 22.1 40.8 41.3 55.0 31.8
## strengthened a lot 52.3 71.9 14.5 41.3 35.0 51.7
## Total 99.9 100.0 99.9 99.9 100.0 100.0
## Count 684.0 335.0 179.0 150.0 120.0 321.0
## COUNTRY
## C19E Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.8 0.4 0.4 11.6 1.9 0.7 0.0
## somewhat weakened 6.8 0.0 0.4 7.9 8.8 4.0 8.3
## did not change 9.3 0.9 3.8 7.1 25.1 13.2 25.0
## somewhat strengthened 58.9 28.6 15.1 36.4 40.5 35.8 49.0
## strengthened a lot 24.1 70.0 80.4 37.0 23.6 46.4 17.7
## Total 99.9 99.9 100.1 100.0 99.9 100.1 100.0
## Count 482.0 227.0 265.0 354.0 622.0 151.0 96.0
## COUNTRY
## C19E Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 1.0 0.0 0.0 0.7 5.9 0.9
## somewhat weakened 0.0 1.6 4.1 2.3 4.2 4.8
## did not change 5.5 25.8 25.6 12.7 10.9 9.8
## somewhat strengthened 47.9 38.7 48.8 33.3 32.8 64.6
## strengthened a lot 45.6 33.9 21.5 51.0 46.2 20.0
## Total 100.0 100.0 100.0 100.0 100.0 100.1
## Count 307.0 62.0 121.0 306.0 119.0 460.0
## COUNTRY
## C19E New Zealand Norway Philippines Poland Portugal
## weakened a lot 4.4 0.7 1.1 NaN 1.9
## somewhat weakened 6.2 1.2 6.9 NaN 5.3
## did not change 9.8 3.1 5.4 NaN 14.7
## somewhat strengthened 43.3 50.6 41.7 NaN 44.8
## strengthened a lot 36.3 44.5 44.9 NaN 33.2
## Total 100.0 100.1 100.0 NaN 99.9
## Count 386.0 425.0 276.0 0 319.0
## COUNTRY
## C19E Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 2.6 NaN 3.6 1.4 4.0 1.5
## somewhat weakened 8.4 NaN 6.5 2.8 4.3 2.2
## did not change 16.8 NaN 18.5 14.4 9.7 9.7
## somewhat strengthened 46.1 NaN 26.8 43.2 34.4 42.5
## strengthened a lot 26.2 NaN 44.6 38.2 47.7 44.0
## Total 100.1 NaN 100.0 100.0 100.1 99.9
## Count 191.0 0 168.0 285.0 352.0 134.0
## COUNTRY
## C19E Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 15.8 3.3 1.2 0.9
## somewhat weakened 21.1 5.9 5.1 1.7
## did not change 7.0 6.6 20.9 10.1
## somewhat strengthened 45.6 33.8 50.0 47.7
## strengthened a lot 10.5 50.4 22.8 39.7
## Total 100.0 100.0 100.0 100.1
## Count 57.0 272.0 254.0 348.0
## COUNTRY
## C19E Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 0.3 0.3 NaN 0.0 1.3
## somewhat weakened NaN 0.3 1.3 NaN 1.6 2.5
## did not change NaN 7.4 10.9 NaN 39.0 17.8
## somewhat strengthened NaN 44.7 49.7 NaN 45.0 52.2
## strengthened a lot NaN 47.3 37.8 NaN 14.5 26.1
## Total NaN 100.0 100.0 NaN 100.1 99.9
## Count 0 624.0 754.0 0 249.0 157.0
## COUNTRY
## C19E Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 1.9 5 NaN 3.6 0.3 NaN
## somewhat weakened 1.9 5 NaN 6.8 0.5 NaN
## did not change 3.7 5 NaN 8.2 6.1 NaN
## somewhat strengthened 29.6 35 NaN 40.0 32.5 NaN
## strengthened a lot 63.0 50 NaN 41.4 60.7 NaN
## Total 100.1 100 NaN 100.0 100.1 NaN
## Count 54.0 20 0 585.0 379.0 0#The use of search engines#
colPercents(xtabs(~C19F+COUNTRY, data=wjsn))## COUNTRY
## C19F Albania Argentina Australia Austria Bangladesh
## weakened a lot 0.5 0.3 0.0 0.0 0.5
## somewhat weakened 0.5 0.7 0.0 0.3 0.5
## did not change 0.9 2.3 3.6 6.3 7.7
## somewhat strengthened 20.4 15.1 22.5 22.6 32.0
## strengthened a lot 77.8 81.6 73.8 70.8 59.5
## Total 100.1 100.0 99.9 100.0 100.2
## Count 216.0 299.0 466.0 712.0 222.0
## COUNTRY
## C19F Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 0.5 0 2.7 0.0 NaN NaN
## somewhat weakened 0.7 12 7.2 0.0 NaN NaN
## did not change 8.6 24 9.9 3.1 NaN NaN
## somewhat strengthened 31.9 34 30.6 26.1 NaN NaN
## strengthened a lot 58.3 30 49.5 70.8 NaN NaN
## Total 100.0 100 99.9 100.0 NaN NaN
## Count 408.0 50 111.0 257.0 0 0
## COUNTRY
## C19F Canada Chile China Colombia Croatia Cyprus
## weakened a lot 0.0 1.4 26.5 0.9 0.9 0.0
## somewhat weakened 0.0 0.9 16.1 1.7 1.7 0.0
## did not change 9.4 8.4 6.3 8.6 9.9 6.5
## somewhat strengthened 26.4 32.1 19.7 25.2 27.9 12.3
## strengthened a lot 64.2 57.2 31.4 63.6 59.6 81.2
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 318.0 215.0 442.0 349.0 527.0 154.0
## COUNTRY
## C19F Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 0.0 NaN 0.9 2.1 0.0
## somewhat weakened 0.0 NaN 1.4 3.0 0.0
## did not change 5.6 NaN 4.1 17.4 3.8
## somewhat strengthened 35.3 NaN 28.9 48.7 26.4
## strengthened a lot 59.1 NaN 64.7 28.8 69.8
## Total 100.0 NaN 100.0 100.0 100.0
## Count 215.0 0 218.0 236.0 106.0
## COUNTRY
## C19F Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 0.0 3.6 NaN 0.3 0.0
## somewhat weakened 0.0 2.2 NaN 0.3 0.0
## did not change 8.8 3.6 NaN 5.9 5.8
## somewhat strengthened 41.2 38.7 NaN 33.4 28.8
## strengthened a lot 50.0 51.8 NaN 60.1 65.5
## Total 100.0 99.9 NaN 100.0 100.1
## Count 216.0 137.0 0 338.0 139.0
## COUNTRY
## C19F Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 0.0 0.0 1.1 0.7 0.0 0.9
## somewhat weakened 0.0 0.0 3.7 2.0 0.0 1.2
## did not change 9.2 2.4 9.0 10.6 2.4 7.1
## somewhat strengthened 21.2 8.6 28.0 27.8 41.5 25.5
## strengthened a lot 69.6 89.1 58.2 58.9 56.1 65.2
## Total 100.0 100.1 100.0 100.0 100.0 99.9
## Count 685.0 339.0 189.0 151.0 123.0 322.0
## COUNTRY
## C19F Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.2 0.0 0.0 0.3 0.3 0.0 0.0
## somewhat weakened 0.4 0.0 0.0 0.6 0.8 0.7 1.0
## did not change 4.7 3.1 3.8 3.9 13.2 9.9 8.2
## somewhat strengthened 49.5 17.3 11.4 21.9 37.7 30.5 37.1
## strengthened a lot 45.2 79.6 84.8 73.3 48.0 58.9 53.6
## Total 100.0 100.0 100.0 100.0 100.0 100.0 99.9
## Count 485.0 225.0 263.0 356.0 621.0 151.0 97.0
## COUNTRY
## C19F Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 0.0 0.0 0.8 0.7 0.0 0.2
## somewhat weakened 0.0 1.6 1.7 0.7 1.7 0.0
## did not change 11.4 14.5 9.2 3.6 10.1 7.0
## somewhat strengthened 35.8 12.9 45.0 20.3 21.0 55.0
## strengthened a lot 52.8 71.0 43.3 74.8 67.2 37.8
## Total 100.0 100.0 100.0 100.1 100.0 100.0
## Count 307.0 62.0 120.0 305.0 119.0 471.0
## COUNTRY
## C19F New Zealand Norway Philippines Poland Portugal
## weakened a lot 0.0 0.2 0.4 NaN 0.0
## somewhat weakened 0.0 0.5 1.4 NaN 0.0
## did not change 2.3 4.5 2.2 NaN 5.3
## somewhat strengthened 31.9 44.3 31.9 NaN 29.1
## strengthened a lot 65.8 50.5 64.1 NaN 65.6
## Total 100.0 100.0 100.0 NaN 100.0
## Count 392.0 424.0 276.0 0 320.0
## COUNTRY
## C19F Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 7.9 NaN 0.0 0.7 1.4 4.8
## somewhat weakened 7.3 NaN 2.3 1.4 0.3 4.0
## did not change 29.3 NaN 7.0 7.7 3.7 13.5
## somewhat strengthened 28.8 NaN 19.9 39.3 24.3 45.2
## strengthened a lot 26.7 NaN 70.8 50.9 70.3 32.5
## Total 100.0 NaN 100.0 100.0 100.0 100.0
## Count 191.0 0 171.0 285.0 354.0 126.0
## COUNTRY
## C19F Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 23.7 0.4 0.0 0.0
## somewhat weakened 20.3 0.4 0.4 0.3
## did not change 3.4 2.9 7.5 5.7
## somewhat strengthened 25.4 14.9 46.5 24.1
## strengthened a lot 27.1 81.5 45.7 69.8
## Total 99.9 100.1 100.1 99.9
## Count 59.0 275.0 254.0 348.0
## COUNTRY
## C19F Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 0.2 0.0 NaN 0.0 0.0
## somewhat weakened NaN 0.0 0.0 NaN 0.0 0.0
## did not change NaN 7.2 8.6 NaN 17.7 4.4
## somewhat strengthened NaN 38.4 31.1 NaN 58.6 42.1
## strengthened a lot NaN 54.3 60.3 NaN 23.7 53.5
## Total NaN 100.1 100.0 NaN 100.0 100.0
## Count 0 623.0 755.0 0 249.0 159.0
## COUNTRY
## C19F Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 1.9 5.3 NaN 0.0 0.3 NaN
## somewhat weakened 5.6 5.3 NaN 0.2 0.3 NaN
## did not change 1.9 0.0 NaN 2.5 4.7 NaN
## somewhat strengthened 29.6 36.8 NaN 25.6 19.3 NaN
## strengthened a lot 61.1 52.6 NaN 71.7 75.5 NaN
## Total 100.1 100.0 NaN 100.0 100.1 NaN
## Count 54.0 19.0 0 593.0 379.0 0#The importance of having a university degree#
colPercents(xtabs(~C19G+COUNTRY, data=wjsn))## COUNTRY
## C19G Albania Argentina Australia Austria Bangladesh
## weakened a lot 8.3 3.0 1.1 4.5 0.4
## somewhat weakened 19.0 6.4 5.7 11.8 2.7
## did not change 46.8 33.8 43.3 50.1 15.9
## somewhat strengthened 19.4 32.8 26.3 26.5 34.5
## strengthened a lot 6.5 24.0 23.7 7.0 46.5
## Total 100.0 100.0 100.1 99.9 100.0
## Count 216.0 296.0 460.0 684.0 226.0
## COUNTRY
## C19G Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 4.5 4 0.0 8.1 NaN NaN
## somewhat weakened 15.7 12 2.7 18.5 NaN NaN
## did not change 50.0 22 8.1 40.2 NaN NaN
## somewhat strengthened 19.2 34 34.2 20.8 NaN NaN
## strengthened a lot 10.6 28 55.0 12.4 NaN NaN
## Total 100.0 100 100.0 100.0 NaN NaN
## Count 396.0 50 111.0 259.0 0 0
## COUNTRY
## C19G Canada Chile China Colombia Croatia Cyprus
## weakened a lot 2.0 7.5 8.6 5.7 15.7 2.0
## somewhat weakened 7.4 9.0 19.6 3.4 15.0 4.6
## did not change 47.5 29.2 43.9 15.4 46.0 41.8
## somewhat strengthened 28.1 26.4 19.4 23.1 15.5 16.3
## strengthened a lot 15.1 27.8 8.6 52.4 7.8 35.3
## Total 100.1 99.9 100.1 100.0 100.0 100.0
## Count 299.0 212.0 444.0 351.0 515.0 153.0
## COUNTRY
## C19G Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 6.2 NaN 0.5 6.4 0.0
## somewhat weakened 17.8 NaN 0.9 7.3 3.8
## did not change 67.8 NaN 3.6 45.3 14.2
## somewhat strengthened 7.2 NaN 27.3 20.1 32.1
## strengthened a lot 1.0 NaN 67.7 20.9 50.0
## Total 100.0 NaN 100.0 100.0 100.1
## Count 208.0 0 220.0 234.0 106.0
## COUNTRY
## C19G Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 6.2 2.9 NaN 4.4 3.1
## somewhat weakened 18.5 2.2 NaN 14.2 6.2
## did not change 52.6 10.9 NaN 49.4 44.2
## somewhat strengthened 18.5 35.8 NaN 26.6 31.0
## strengthened a lot 4.3 48.2 NaN 5.4 15.5
## Total 100.1 100.0 NaN 100.0 100.0
## Count 211.0 137.0 0 316.0 129.0
## COUNTRY
## C19G Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 2.9 5.8 3.2 12.0 0.0 2.8
## somewhat weakened 12.6 3.7 5.9 14.8 0.8 8.1
## did not change 46.2 30.9 53.0 42.3 30.5 20.6
## somewhat strengthened 23.0 30.6 30.3 24.6 44.9 27.7
## strengthened a lot 15.3 29.1 7.6 6.3 23.7 40.8
## Total 100.0 100.1 100.0 100.0 99.9 100.0
## Count 649.0 327.0 185.0 142.0 118.0 321.0
## COUNTRY
## C19G Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 1.1 1.8 29.1 12.1 6.8 1.3 12.5
## somewhat weakened 2.5 3.6 12.4 7.5 13.0 5.4 12.5
## did not change 16.4 40.8 37.1 46.0 74.4 12.1 38.5
## somewhat strengthened 54.8 30.9 9.6 20.5 5.1 32.9 24.0
## strengthened a lot 25.2 22.9 12.0 13.9 0.6 48.3 12.5
## Total 100.0 100.0 100.2 100.0 99.9 100.0 100.0
## Count 476.0 223.0 251.0 346.0 622.0 149.0 96.0
## COUNTRY
## C19G Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 10.7 1.6 1.7 2.3 6.8 3.3
## somewhat weakened 20.3 1.6 4.2 4.9 12.7 13.3
## did not change 50.9 19.4 32.5 14.1 28.8 51.0
## somewhat strengthened 14.4 27.4 33.3 26.1 28.8 27.6
## strengthened a lot 3.8 50.0 28.3 52.6 22.9 4.8
## Total 100.1 100.0 100.0 100.0 100.0 100.0
## Count 291.0 62.0 120.0 306.0 118.0 420.0
## COUNTRY
## C19G New Zealand Norway Philippines Poland Portugal
## weakened a lot 0.6 1.5 1.8 NaN 1.9
## somewhat weakened 6.2 4.7 5.8 NaN 6.1
## did not change 38.6 32.6 35.1 NaN 41.4
## somewhat strengthened 37.7 49.8 33.3 NaN 32.2
## strengthened a lot 17.0 11.4 23.9 NaN 18.5
## Total 100.1 100.0 99.9 NaN 100.1
## Count 324.0 402.0 276.0 0 314.0
## COUNTRY
## C19G Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 0.0 NaN 11.9 19.6 22.3 2.3
## somewhat weakened 3.7 NaN 17.3 28.4 13.8 4.6
## did not change 20.9 NaN 29.8 34.7 39.5 10.7
## somewhat strengthened 52.4 NaN 17.3 10.2 14.3 35.1
## strengthened a lot 23.0 NaN 23.8 7.0 10.0 47.3
## Total 100.0 NaN 100.1 99.9 99.9 100.0
## Count 191.0 0 168.0 285.0 349.0 131.0
## COUNTRY
## C19G Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 7.0 3.9 6.7 5.2
## somewhat weakened 21.1 16.0 14.6 10.6
## did not change 31.6 31.5 58.1 43.7
## somewhat strengthened 24.6 28.8 15.0 22.1
## strengthened a lot 15.8 19.8 5.5 18.4
## Total 100.1 100.0 99.9 100.0
## Count 57.0 257.0 253.0 348.0
## COUNTRY
## C19G Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 3.4 2.4 NaN 0.0 0.6
## somewhat weakened NaN 8.2 9.3 NaN 2.4 0.6
## did not change NaN 56.3 47.5 NaN 61.8 41.1
## somewhat strengthened NaN 25.5 30.0 NaN 28.9 47.5
## strengthened a lot NaN 6.6 10.8 NaN 6.8 10.1
## Total NaN 100.0 100.0 NaN 99.9 99.9
## Count 0 620.0 750.0 0 249.0 158.0
## COUNTRY
## C19G Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 3.8 9.5 NaN 4.6 2.7 NaN
## somewhat weakened 13.2 4.8 NaN 7.8 10.1 NaN
## did not change 28.3 9.5 NaN 44.6 48.8 NaN
## somewhat strengthened 30.2 23.8 NaN 26.5 21.0 NaN
## strengthened a lot 24.5 52.4 NaN 16.5 17.5 NaN
## Total 100.0 100.0 NaN 100.0 100.1 NaN
## Count 53.0 21.0 0 540.0 377.0 0#The importance of having a degree in journalism or a related field#
colPercents(xtabs(~C19H+COUNTRY, data=wjsn))## COUNTRY
## C19H Albania Argentina Australia Austria Bangladesh
## weakened a lot 8.4 4.7 2.0 4.6 1.3
## somewhat weakened 18.7 7.1 9.8 11.1 3.5
## did not change 45.3 37.0 46.9 50.8 17.9
## somewhat strengthened 20.1 30.6 24.9 28.2 38.4
## strengthened a lot 7.5 20.5 16.4 5.3 38.9
## Total 100.0 99.9 100.0 100.0 100.0
## Count 214.0 297.0 458.0 677.0 229.0
## COUNTRY
## C19H Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 4.3 2.0 0.0 9.7 NaN NaN
## somewhat weakened 12.9 14.3 5.4 23.9 NaN NaN
## did not change 50.4 26.5 10.8 38.2 NaN NaN
## somewhat strengthened 24.8 38.8 31.5 18.9 NaN NaN
## strengthened a lot 7.6 18.4 52.3 9.3 NaN NaN
## Total 100.0 100.0 100.0 100.0 NaN NaN
## Count 395.0 49.0 111.0 259.0 0 0
## COUNTRY
## C19H Canada Chile China Colombia Croatia Cyprus
## weakened a lot 3.7 8.5 9.5 8.2 20.0 5.9
## somewhat weakened 12.8 12.7 24.3 6.0 13.1 2.6
## did not change 49.0 28.3 39.9 14.5 53.1 38.6
## somewhat strengthened 23.5 23.1 17.1 23.0 11.0 17.0
## strengthened a lot 11.1 27.4 9.2 48.3 2.9 35.9
## Total 100.1 100.0 100.0 100.0 100.1 100.0
## Count 298.0 212.0 444.0 352.0 520.0 153.0
## COUNTRY
## C19H Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 12.9 NaN 0.5 7.3 1.0
## somewhat weakened 21.4 NaN 1.4 7.3 2.9
## did not change 58.1 NaN 3.2 42.5 12.4
## somewhat strengthened 7.1 NaN 21.4 25.8 32.4
## strengthened a lot 0.5 NaN 73.6 17.2 51.4
## Total 100.0 NaN 100.1 100.1 100.1
## Count 210.0 0 220.0 233.0 105.0
## COUNTRY
## C19H Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 10.4 2.2 NaN 4.2 3.1
## somewhat weakened 25.1 5.8 NaN 17.4 3.8
## did not change 51.7 14.6 NaN 54.3 37.7
## somewhat strengthened 12.3 38.7 NaN 22.2 32.3
## strengthened a lot 0.5 38.7 NaN 1.9 23.1
## Total 100.0 100.0 NaN 100.0 100.0
## Count 211.0 137.0 0 311.0 130.0
## COUNTRY
## C19H Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 5.0 7.0 4.3 8.0 0.9 4.3
## somewhat weakened 18.2 4.8 10.8 15.9 1.8 7.7
## did not change 55.3 36.1 58.4 37.7 43.9 17.6
## somewhat strengthened 15.3 28.2 23.2 26.1 44.7 31.6
## strengthened a lot 6.1 23.9 3.2 12.3 8.8 38.7
## Total 99.9 100.0 99.9 100.0 100.1 99.9
## Count 636.0 330.0 185.0 138.0 114.0 323.0
## COUNTRY
## C19H Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 1.5 1.8 25.8 11.6 7.2 1.4 15.8
## somewhat weakened 3.4 4.9 12.7 11.0 12.7 8.8 13.7
## did not change 25.3 40.4 39.8 44.1 71.3 11.5 32.6
## somewhat strengthened 50.1 34.7 13.5 21.4 7.6 34.5 23.2
## strengthened a lot 19.8 18.2 8.2 11.9 1.1 43.9 14.7
## Total 100.1 100.0 100.0 100.0 99.9 100.1 100.0
## Count 475.0 225.0 244.0 345.0 621.0 148.0 95.0
## COUNTRY
## C19H Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 12.1 1.6 1.7 3.9 8.5 4.0
## somewhat weakened 20.8 1.6 5.1 6.9 12.8 23.4
## did not change 51.6 21.0 31.4 24.5 24.8 52.5
## somewhat strengthened 13.8 24.2 34.7 29.4 32.5 17.3
## strengthened a lot 1.7 51.6 27.1 35.3 21.4 2.8
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 289.0 62.0 118.0 306.0 117.0 427.0
## COUNTRY
## C19H New Zealand Norway Philippines Poland Portugal
## weakened a lot 0.6 1.2 3.3 NaN 2.5
## somewhat weakened 7.2 5.0 12.7 NaN 8.8
## did not change 36.1 37.7 35.1 NaN 45.6
## somewhat strengthened 39.7 44.4 30.4 NaN 27.8
## strengthened a lot 16.4 11.7 18.5 NaN 15.3
## Total 100.0 100.0 100.0 NaN 100.0
## Count 335.0 401.0 276.0 0 320.0
## COUNTRY
## C19H Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 1.0 NaN 13.6 22.5 22.7 1.5
## somewhat weakened 12.0 NaN 23.7 29.5 14.7 3.0
## did not change 22.0 NaN 30.2 31.9 41.7 7.5
## somewhat strengthened 37.7 NaN 16.0 10.9 13.8 39.6
## strengthened a lot 27.2 NaN 16.6 5.3 7.2 48.5
## Total 99.9 NaN 100.1 100.1 100.1 100.1
## Count 191.0 0 169.0 285.0 348.0 134.0
## COUNTRY
## C19H Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 5.3 5.5 11.5 6.6
## somewhat weakened 15.8 10.6 20.6 17.5
## did not change 50.9 36.1 51.0 44.5
## somewhat strengthened 19.3 29.4 15.0 18.4
## strengthened a lot 8.8 18.4 2.0 12.9
## Total 100.1 100.0 100.1 99.9
## Count 57.0 255.0 253.0 348.0
## COUNTRY
## C19H Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 2.9 1.3 NaN 0.0 2.5
## somewhat weakened NaN 11.1 6.5 NaN 10.8 1.3
## did not change NaN 44.9 48.1 NaN 56.6 43.4
## somewhat strengthened NaN 29.5 35.5 NaN 29.3 42.8
## strengthened a lot NaN 11.6 8.5 NaN 3.2 10.1
## Total NaN 100.0 99.9 NaN 99.9 100.1
## Count 0 621.0 749.0 0 249.0 159.0
## COUNTRY
## C19H Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 1.9 5 NaN 6.3 5.1 NaN
## somewhat weakened 15.1 10 NaN 13.9 16.0 NaN
## did not change 32.1 15 NaN 45.7 53.2 NaN
## somewhat strengthened 34.0 35 NaN 23.4 17.8 NaN
## strengthened a lot 17.0 35 NaN 10.6 8.0 NaN
## Total 100.1 100 NaN 99.9 100.1 NaN
## Count 53.0 20 0 538.0 376.0 0#The credibility of journalism#
colPercents(xtabs(~C19J+COUNTRY, data=wjsn))## COUNTRY
## C19J Albania Argentina Australia Austria Bangladesh
## weakened a lot 4.6 24.5 3.2 12.4 4.8
## somewhat weakened 30.1 35.6 52.1 52.2 17.1
## did not change 25.0 21.1 36.5 29.4 18.4
## somewhat strengthened 35.6 12.1 6.7 4.8 27.6
## strengthened a lot 4.6 6.7 1.5 1.1 32.0
## Total 99.9 100.0 100.0 99.9 99.9
## Count 216.0 298.0 463.0 703.0 228.0
## COUNTRY
## C19J Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 9.7 8.2 1.8 13.6 NaN NaN
## somewhat weakened 48.3 12.2 10.0 43.4 NaN NaN
## did not change 30.6 24.5 18.2 18.2 NaN NaN
## somewhat strengthened 8.0 32.7 34.5 16.3 NaN NaN
## strengthened a lot 3.5 22.4 35.5 8.5 NaN NaN
## Total 100.1 100.0 100.0 100.0 NaN NaN
## Count 402.0 49.0 110.0 258.0 0 0
## COUNTRY
## C19J Canada Chile China Colombia Croatia Cyprus
## weakened a lot 8.3 9.3 6.6 8.9 38.5 0.7
## somewhat weakened 48.2 23.8 25.1 10.9 39.3 11.8
## did not change 28.7 32.7 37.3 19.5 13.5 18.3
## somewhat strengthened 11.9 18.2 19.5 24.6 6.8 26.1
## strengthened a lot 3.0 15.9 11.5 36.1 1.9 43.1
## Total 100.1 99.9 100.0 100.0 100.0 100.0
## Count 303.0 214.0 442.0 349.0 517.0 153.0
## COUNTRY
## C19J Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 6.6 NaN 4.1 3.4 4.7
## somewhat weakened 42.5 NaN 16.0 2.6 17.9
## did not change 37.3 NaN 13.2 15.0 14.2
## somewhat strengthened 11.8 NaN 24.2 39.3 34.9
## strengthened a lot 1.9 NaN 42.5 39.7 28.3
## Total 100.1 NaN 100.0 100.0 100.0
## Count 212.0 0 219.0 234.0 106.0
## COUNTRY
## C19J Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 3.8 18.4 NaN 5.1 38.0
## somewhat weakened 37.0 16.9 NaN 49.5 42.3
## did not change 40.3 22.8 NaN 34.4 12.4
## somewhat strengthened 15.2 32.4 NaN 8.8 4.4
## strengthened a lot 3.8 9.6 NaN 2.1 2.9
## Total 100.1 100.1 NaN 99.9 100.0
## Count 211.0 136.0 0 331.0 137.0
## COUNTRY
## C19J Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 11.1 44.7 8.7 21.5 1.7 6.6
## somewhat weakened 53.2 16.5 37.5 32.9 28.9 21.7
## did not change 26.2 18.6 33.2 23.5 38.8 18.9
## somewhat strengthened 6.4 9.0 15.8 16.8 22.3 25.2
## strengthened a lot 3.1 11.1 4.9 5.4 8.3 27.7
## Total 100.0 99.9 100.1 100.1 100.0 100.1
## Count 673.0 333.0 184.0 149.0 121.0 318.0
## COUNTRY
## C19J Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 1.2 8.4 34.2 38.9 11.6 2.0 2.1
## somewhat weakened 7.2 45.3 30.4 42.0 45.9 15.2 13.4
## did not change 18.2 33.3 22.2 12.8 28.2 9.3 33.0
## somewhat strengthened 50.1 8.4 8.6 5.1 9.2 39.1 32.0
## strengthened a lot 23.2 4.4 4.7 1.1 5.2 34.4 19.6
## Total 99.9 99.8 100.1 99.9 100.1 100.0 100.1
## Count 483.0 225.0 257.0 352.0 621.0 151.0 97.0
## COUNTRY
## C19J Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 10.8 1.6 0.8 6.6 20.3 5.3
## somewhat weakened 20.0 8.2 9.9 13.8 18.6 50.3
## did not change 31.5 19.7 27.3 23.0 17.8 36.4
## somewhat strengthened 28.2 32.8 31.4 24.9 22.9 7.3
## strengthened a lot 9.5 37.7 30.6 31.8 20.3 0.7
## Total 100.0 100.0 100.0 100.1 99.9 100.0
## Count 305.0 61.0 121.0 305.0 118.0 453.0
## COUNTRY
## C19J New Zealand Norway Philippines Poland Portugal
## weakened a lot 18.3 4.3 6.2 NaN 8.9
## somewhat weakened 49.6 39.1 18.5 NaN 39.6
## did not change 23.1 37.9 24.7 NaN 31.0
## somewhat strengthened 7.2 17.0 32.7 NaN 13.3
## strengthened a lot 1.8 1.7 17.8 NaN 7.3
## Total 100.0 100.0 99.9 NaN 100.1
## Count 389.0 417.0 275.0 0 316.0
## COUNTRY
## C19J Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 0.0 NaN 27.6 23.9 36.5 1.5
## somewhat weakened 7.3 NaN 28.7 28.8 30.2 12.1
## did not change 11.0 NaN 25.3 30.2 17.1 9.1
## somewhat strengthened 40.3 NaN 10.9 13.3 9.1 32.6
## strengthened a lot 41.4 NaN 7.5 3.9 7.1 44.7
## Total 100.0 NaN 100.0 100.1 100.0 100.0
## Count 191.0 0 174.0 285.0 351.0 132.0
## COUNTRY
## C19J Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 3.4 11.6 20.9 19.8
## somewhat weakened 17.2 40.8 42.9 46.3
## did not change 19.0 18.7 17.7 23.3
## somewhat strengthened 51.7 13.9 14.2 6.9
## strengthened a lot 8.6 15.0 4.3 3.7
## Total 99.9 100.0 100.0 100.0
## Count 58.0 267.0 254.0 348.0
## COUNTRY
## C19J Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 7.2 15.3 NaN 0.4 0.0
## somewhat weakened NaN 40.3 52.4 NaN 24.1 10.1
## did not change NaN 39.8 26.8 NaN 36.9 21.4
## somewhat strengthened NaN 11.1 4.5 NaN 31.7 48.4
## strengthened a lot NaN 1.6 1.1 NaN 6.8 20.1
## Total NaN 100.0 100.1 NaN 99.9 100.0
## Count 0 621.0 754.0 0 249.0 159.0
## COUNTRY
## C19J Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 43.4 10.5 NaN 16.1 7.7 NaN
## somewhat weakened 34.0 15.8 NaN 50.4 45.8 NaN
## did not change 13.2 10.5 NaN 24.3 33.9 NaN
## somewhat strengthened 3.8 42.1 NaN 7.2 8.2 NaN
## strengthened a lot 5.7 21.1 NaN 2.1 4.5 NaN
## Total 100.1 100.0 NaN 100.1 100.1 NaN
## Count 53.0 19.0 0 585.0 378.0 0#The relevance of journalism for society#
colPercents(xtabs(~C19K+COUNTRY, data=wjsn))## COUNTRY
## C19K Albania Argentina Australia Austria Bangladesh
## weakened a lot 1.9 6.1 1.1 6.0 0.9
## somewhat weakened 13.6 21.4 17.0 34.9 5.4
## did not change 25.7 25.5 36.3 38.6 11.6
## somewhat strengthened 38.8 30.3 36.3 17.6 27.7
## strengthened a lot 20.1 16.7 9.2 3.0 54.5
## Total 100.1 100.0 99.9 100.1 100.1
## Count 214.0 294.0 465.0 700.0 224.0
## COUNTRY
## C19K Belgium Bhutan Botswana Brazil Bulgaria Cameroon
## weakened a lot 3.5 4 0.9 3.5 NaN NaN
## somewhat weakened 20.0 18 1.8 25.9 NaN NaN
## did not change 45.0 18 11.9 32.4 NaN NaN
## somewhat strengthened 25.2 36 34.9 22.8 NaN NaN
## strengthened a lot 6.2 24 50.5 15.4 NaN NaN
## Total 99.9 100 100.0 100.0 NaN NaN
## Count 404.0 50 109.0 259.0 0 0
## COUNTRY
## C19K Canada Chile China Colombia Croatia Cyprus
## weakened a lot 1.3 8.0 5.9 5.7 11.8 0.0
## somewhat weakened 19.3 17.8 19.5 5.1 31.5 1.3
## did not change 28.2 30.5 26.8 19.9 23.7 32.0
## somewhat strengthened 31.6 25.4 31.5 25.6 25.1 33.3
## strengthened a lot 19.6 18.3 16.3 43.8 7.9 33.3
## Total 100.0 100.0 100.0 100.1 100.0 99.9
## Count 316.0 213.0 441.0 352.0 518.0 150.0
## COUNTRY
## C19K Czech Republic Denmark Ecuador Egypt El Salvador
## weakened a lot 1.9 NaN 1.4 1.7 1.0
## somewhat weakened 21.1 NaN 11.0 3.0 7.6
## did not change 44.6 NaN 15.6 18.5 11.4
## somewhat strengthened 25.8 NaN 32.6 41.2 39.0
## strengthened a lot 6.6 NaN 39.4 35.6 41.0
## Total 100.0 NaN 100.0 100.0 100.0
## Count 213.0 0 218.0 233.0 105.0
## COUNTRY
## C19K Estonia Ethiopia Fiji Finland France_NON-REP
## weakened a lot 3.7 13.0 NaN 1.2 22.2
## somewhat weakened 15.9 8.0 NaN 23.1 31.1
## did not change 39.3 21.0 NaN 42.9 27.4
## somewhat strengthened 32.7 36.2 NaN 28.4 11.9
## strengthened a lot 8.4 21.7 NaN 4.4 7.4
## Total 100.0 99.9 NaN 100.0 100.0
## Count 214.0 138.0 0 338.0 135.0
## COUNTRY
## C19K Germany Greece Hong Kong Hungary Iceland India
## weakened a lot 4.0 21.6 2.7 11.5 1.7 1.9
## somewhat weakened 32.6 20.1 7.7 35.1 5.9 10.5
## did not change 33.6 22.2 30.2 25.0 36.1 14.9
## somewhat strengthened 23.0 22.2 44.0 21.6 41.2 35.6
## strengthened a lot 6.8 14.1 15.4 6.8 15.1 37.1
## Total 100.0 100.2 100.0 100.0 100.0 100.0
## Count 675.0 334.0 182.0 148.0 119.0 315.0
## COUNTRY
## C19K Indonesia Ireland Israel Italy Japan Kenya Kosovo
## weakened a lot 0.4 5.3 15.4 26.8 2.9 2.6 3.1
## somewhat weakened 4.0 21.8 17.4 38.5 23.2 6.6 8.2
## did not change 14.9 36.4 27.8 20.5 46.8 9.9 19.6
## somewhat strengthened 59.4 21.8 15.8 9.4 21.4 34.4 43.3
## strengthened a lot 21.3 14.7 23.6 4.8 5.7 46.4 25.8
## Total 100.0 100.0 100.0 100.0 100.0 99.9 100.0
## Count 475.0 225.0 259.0 351.0 616.0 151.0 97.0
## COUNTRY
## C19K Latvia Malawi Malaysia Mexico Moldova Netherlands
## weakened a lot 5.6 0.0 2.5 1.6 5.9 1.5
## somewhat weakened 18.0 1.6 4.2 11.8 14.4 24.7
## did not change 37.4 19.4 18.3 20.4 25.4 48.3
## somewhat strengthened 29.2 37.1 40.8 33.9 24.6 22.7
## strengthened a lot 9.8 41.9 34.2 32.2 29.7 2.8
## Total 100.0 100.0 100.0 99.9 100.0 100.0
## Count 305.0 62.0 120.0 304.0 118.0 458.0
## COUNTRY
## C19K New Zealand Norway Philippines Poland Portugal
## weakened a lot 10.6 1.2 3.6 NaN 3.4
## somewhat weakened 25.3 23.4 8.0 NaN 22.9
## did not change 33.5 44.3 19.6 NaN 34.8
## somewhat strengthened 21.6 26.8 38.4 NaN 24.1
## strengthened a lot 9.0 4.4 30.4 NaN 14.7
## Total 100.0 100.1 100.0 NaN 99.9
## Count 388.0 411.0 276.0 0 319.0
## COUNTRY
## C19K Oman Qatar Romania Russia Serbia Sierra Leone
## weakened a lot 0.5 NaN 14.6 11.2 26.4 0.0
## somewhat weakened 3.7 NaN 17.5 22.8 19.0 5.2
## did not change 19.4 NaN 35.1 33.3 29.5 3.7
## somewhat strengthened 44.0 NaN 16.4 26.0 15.3 29.1
## strengthened a lot 32.5 NaN 16.4 6.7 9.7 61.9
## Total 100.1 NaN 100.0 100.0 99.9 99.9
## Count 191.0 0 171.0 285.0 352.0 134.0
## COUNTRY
## C19K Singapore_NON-REP South Africa South Korea Spain
## weakened a lot 8.5 3.7 15.7 6.6
## somewhat weakened 16.9 12.2 32.7 27.7
## did not change 18.6 20.7 28.0 33.4
## somewhat strengthened 45.8 29.5 20.5 24.5
## strengthened a lot 10.2 33.9 3.1 7.8
## Total 100.0 100.0 100.0 100.0
## Count 59.0 271.0 254.0 347.0
## COUNTRY
## C19K Sudan Sweden Switzerland Taiwan Tanzania Thailand
## weakened a lot NaN 2.9 5.3 NaN 0.0 0.6
## somewhat weakened NaN 29.5 35.1 NaN 6.0 5.1
## did not change NaN 38.4 42.8 NaN 28.9 18.5
## somewhat strengthened NaN 23.5 13.3 NaN 61.8 49.0
## strengthened a lot NaN 5.6 3.5 NaN 3.2 26.8
## Total NaN 99.9 100.0 NaN 99.9 100.0
## Count 0 620.0 752.0 0 249.0 157.0
## COUNTRY
## C19K Turkey_NON-REP UAE Uganda UK USA Zambia
## weakened a lot 13.2 15 NaN 4.3 2.6 NaN
## somewhat weakened 41.5 15 NaN 17.5 19.0 NaN
## did not change 28.3 0 NaN 41.6 26.7 NaN
## somewhat strengthened 13.2 40 NaN 24.4 30.2 NaN
## strengthened a lot 3.8 30 NaN 12.1 21.4 NaN
## Total 100.0 100 NaN 99.9 99.9 NaN
## Count 53.0 20 0 577.0 378.0 0#What is the highest grade of school or level of education you have completed? #
colPercents(xtabs(~C20+COUNTRY, data=wjsn))## COUNTRY
## C20 Albania Argentina
## Not completed high school 0.0 0.6
## Completed high school 1.4 9.3
## College/Bachelor\342\200\231s degree or equivalent 64.1 54.8
## Master's degree or equivalent 32.2 12.4
## Doctorate 1.7 0.6
## some university studies, but no degree 0.7 22.5
## Total 100.1 100.2
## Count 295.0 356.0
## COUNTRY
## C20 Australia Austria
## Not completed high school 1.0 3.1
## Completed high school 12.4 20.2
## College/Bachelor\342\200\231s degree or equivalent 75.0 8.1
## Master's degree or equivalent 6.8 46.2
## Doctorate 0.3 9.0
## some university studies, but no degree 4.5 13.4
## Total 100.0 100.0
## Count 605.0 767.0
## COUNTRY
## C20 Bangladesh Belgium
## Not completed high school 0.9 0.3
## Completed high school 10.3 2.6
## College/Bachelor\342\200\231s degree or equivalent 33.1 20.6
## Master's degree or equivalent 53.4 74.8
## Doctorate 0.3 0.9
## some university studies, but no degree 2.1 0.9
## Total 100.1 100.1
## Count 341.0 588.0
## COUNTRY
## C20 Bhutan Botswana
## Not completed high school 0.0 0.5
## Completed high school 0.0 3.3
## College/Bachelor\342\200\231s degree or equivalent 87.5 84.2
## Master's degree or equivalent 11.4 4.9
## Doctorate 0.0 0.0
## some university studies, but no degree 1.1 7.1
## Total 100.0 100.0
## Count 88.0 183.0
## COUNTRY
## C20 Brazil Bulgaria
## Not completed high school 1.9 NaN
## Completed high school 5.1 NaN
## College/Bachelor\342\200\231s degree or equivalent 73.0 NaN
## Master's degree or equivalent 14.2 NaN
## Doctorate 1.6 NaN
## some university studies, but no degree 4.3 NaN
## Total 100.1 NaN
## Count 374.0 0
## COUNTRY
## C20 Cameroon Canada Chile
## Not completed high school NaN 0.3 0.0
## Completed high school NaN 4.3 0.6
## College/Bachelor\342\200\231s degree or equivalent NaN 64.9 74.9
## Master's degree or equivalent NaN 27.4 21.1
## Doctorate NaN 1.1 0.4
## some university studies, but no degree NaN 2.0 2.9
## Total NaN 100.0 99.9
## Count 0 350.0 479.0
## COUNTRY
## C20 China Colombia
## Not completed high school 0.2 0.0
## Completed high school 0.2 10.6
## College/Bachelor\342\200\231s degree or equivalent 77.2 77.6
## Master's degree or equivalent 21.9 11.6
## Doctorate 0.5 0.2
## some university studies, but no degree 0.2 0.0
## Total 100.2 100.0
## Count 649.0 559.0
## COUNTRY
## C20 Croatia Cyprus
## Not completed high school 0.0 0.5
## Completed high school 6.1 0.5
## College/Bachelor\342\200\231s degree or equivalent 3.0 52.9
## Master's degree or equivalent 67.5 44.1
## Doctorate 1.3 2.0
## some university studies, but no degree 22.2 0.0
## Total 100.1 100.0
## Count 541.0 204.0
## COUNTRY
## C20 Czech Republic
## Not completed high school 0.0
## Completed high school 24.0
## College/Bachelor\342\200\231s degree or equivalent 22.9
## Master's degree or equivalent 41.3
## Doctorate 3.5
## some university studies, but no degree 8.3
## Total 100.0
## Count 288.0
## COUNTRY
## C20 Denmark Ecuador Egypt
## Not completed high school 0.4 1.4 0.5
## Completed high school 5.4 8.0 1.5
## College/Bachelor\342\200\231s degree or equivalent 65.1 66.3 86.0
## Master's degree or equivalent 28.1 11.3 10.5
## Doctorate 0.0 2.5 0.8
## some university studies, but no degree 1.0 10.5 0.8
## Total 100.0 100.0 100.1
## Count 1285.0 362.0 400.0
## COUNTRY
## C20 El Salvador Estonia
## Not completed high school 0.4 0.4
## Completed high school 5.6 7.7
## College/Bachelor\342\200\231s degree or equivalent 67.2 27.1
## Master's degree or equivalent 10.0 54.2
## Doctorate 2.4 0.4
## some university studies, but no degree 14.4 10.3
## Total 100.0 100.1
## Count 250.0 273.0
## COUNTRY
## C20 Ethiopia Fiji Finland
## Not completed high school 0.0 NaN 0.8
## Completed high school 2.6 NaN 11.5
## College/Bachelor\342\200\231s degree or equivalent 88.0 NaN 26.5
## Master's degree or equivalent 9.4 NaN 47.0
## Doctorate 0.0 NaN 1.1
## some university studies, but no degree 0.0 NaN 13.1
## Total 100.0 NaN 100.0
## Count 350.0 0 366.0
## COUNTRY
## C20 France_NON-REP
## Not completed high school 1.3
## Completed high school 2.2
## College/Bachelor\342\200\231s degree or equivalent 8.4
## Master's degree or equivalent 82.7
## Doctorate 4.4
## some university studies, but no degree 0.9
## Total 99.9
## Count 226.0
## COUNTRY
## C20 Germany Greece
## Not completed high school 1.9 0.0
## Completed high school 14.4 24.9
## College/Bachelor\342\200\231s degree or equivalent 7.2 40.7
## Master's degree or equivalent 64.4 23.3
## Doctorate 3.9 1.6
## some university studies, but no degree 8.2 9.5
## Total 100.0 100.0
## Count 748.0 378.0
## COUNTRY
## C20 Hong Kong Hungary
## Not completed high school 0.2 0.9
## Completed high school 10.9 17.5
## College/Bachelor\342\200\231s degree or equivalent 0.0 52.8
## Master's degree or equivalent 77.3 19.5
## Doctorate 11.6 2.3
## some university studies, but no degree 0.0 7.0
## Total 100.0 100.0
## Count 467.0 343.0
## COUNTRY
## C20 Iceland India
## Not completed high school 6.8 0.0
## Completed high school 14.7 0.8
## College/Bachelor\342\200\231s degree or equivalent 46.9 25.3
## Master's degree or equivalent 21.5 69.5
## Doctorate 0.0 4.4
## some university studies, but no degree 10.2 0.0
## Total 100.1 100.0
## Count 177.0 518.0
## COUNTRY
## C20 Indonesia Ireland
## Not completed high school 0.0 0.6
## Completed high school 8.2 5.2
## College/Bachelor\342\200\231s degree or equivalent 81.4 44.8
## Master's degree or equivalent 5.4 40.2
## Doctorate 0.2 0.6
## some university studies, but no degree 4.8 8.6
## Total 100.0 100.0
## Count 661.0 174.0
## COUNTRY
## C20 Israel Italy Japan
## Not completed high school 3.3 0.0 0.0
## Completed high school 17.5 6.6 1.0
## College/Bachelor\342\200\231s degree or equivalent 51.8 46.8 92.8
## Master's degree or equivalent 20.1 24.6 6.3
## Doctorate 1.5 1.5 0.0
## some university studies, but no degree 5.9 20.5 0.0
## Total 100.1 100.0 100.1
## Count 338.0 395.0 719.0
## COUNTRY
## C20 Kenya Kosovo Latvia
## Not completed high school 0.0 0.5 0.9
## Completed high school 2.7 8.2 4.2
## College/Bachelor\342\200\231s degree or equivalent 65.9 61.0 41.2
## Master's degree or equivalent 24.5 24.1 37.9
## Doctorate 0.6 1.0 1.2
## some university studies, but no degree 6.3 5.1 14.6
## Total 100.0 99.9 100.0
## Count 331.0 195.0 335.0
## COUNTRY
## C20 Malawi Malaysia
## Not completed high school 0.0 1.2
## Completed high school 3.5 12.5
## College/Bachelor\342\200\231s degree or equivalent 58.7 74.2
## Master's degree or equivalent 32.0 8.6
## Doctorate 4.1 0.0
## some university studies, but no degree 1.7 3.6
## Total 100.0 100.1
## Count 172.0 337.0
## COUNTRY
## C20 Mexico Moldova
## Not completed high school 2.1 2.3
## Completed high school 6.4 9.0
## College/Bachelor\342\200\231s degree or equivalent 75.5 54.8
## Master's degree or equivalent 10.9 26.2
## Doctorate 0.5 0.5
## some university studies, but no degree 4.5 7.2
## Total 99.9 100.0
## Count 375.0 221.0
## COUNTRY
## C20 Netherlands
## Not completed high school 0.8
## Completed high school 10.5
## College/Bachelor\342\200\231s degree or equivalent 47.1
## Master's degree or equivalent 33.5
## Doctorate 1.1
## some university studies, but no degree 6.9
## Total 99.9
## Count 522.0
## COUNTRY
## C20 New Zealand Norway
## Not completed high school 0.8 0.0
## Completed high school 6.8 8.1
## College/Bachelor\342\200\231s degree or equivalent 69.3 67.0
## Master's degree or equivalent 15.5 22.2
## Doctorate 0.2 0.0
## some university studies, but no degree 7.4 2.6
## Total 100.0 99.9
## Count 502.0 540.0
## COUNTRY
## C20 Philippines Poland
## Not completed high school 0.0 NaN
## Completed high school 0.9 NaN
## College/Bachelor\342\200\231s degree or equivalent 74.6 NaN
## Master's degree or equivalent 18.3 NaN
## Doctorate 0.6 NaN
## some university studies, but no degree 5.5 NaN
## Total 99.9 NaN
## Count 327.0 0
## COUNTRY
## C20 Portugal Oman Qatar
## Not completed high school 0.0 2.0 3.7
## Completed high school 6.9 16.5 14.7
## College/Bachelor\342\200\231s degree or equivalent 70.4 53.5 55.1
## Master's degree or equivalent 14.3 24.0 13.6
## Doctorate 1.5 1.2 3.9
## some university studies, but no degree 6.9 2.8 8.9
## Total 100.0 100.0 99.9
## Count 405.0 254.0 381.0
## COUNTRY
## C20 Romania Russia Serbia
## Not completed high school 0.6 0.8 0.0
## Completed high school 18.8 1.0 14.9
## College/Bachelor\342\200\231s degree or equivalent 41.6 15.9 59.7
## Master's degree or equivalent 26.7 57.2 7.9
## Doctorate 2.3 9.2 1.0
## some university studies, but no degree 10.0 15.9 16.6
## Total 100.0 100.0 100.1
## Count 341.0 390.0 404.0
## COUNTRY
## C20 Sierra Leone
## Not completed high school 0.5
## Completed high school 32.7
## College/Bachelor\342\200\231s degree or equivalent 37.0
## Master's degree or equivalent 3.4
## Doctorate 0.0
## some university studies, but no degree 26.4
## Total 100.0
## Count 208.0
## COUNTRY
## C20 Singapore_NON-REP
## Not completed high school 1.1
## Completed high school 4.2
## College/Bachelor\342\200\231s degree or equivalent 70.5
## Master's degree or equivalent 23.2
## Doctorate 0.0
## some university studies, but no degree 1.1
## Total 100.1
## Count 95.0
## COUNTRY
## C20 South Africa
## Not completed high school 0.0
## Completed high school 7.0
## College/Bachelor\342\200\231s degree or equivalent 62.9
## Master's degree or equivalent 19.5
## Doctorate 1.9
## some university studies, but no degree 8.7
## Total 100.0
## Count 369.0
## COUNTRY
## C20 South Korea Spain
## Not completed high school 0.0 0.0
## Completed high school 0.3 3.3
## College/Bachelor\342\200\231s degree or equivalent 74.6 72.3
## Master's degree or equivalent 21.8 22.6
## Doctorate 3.1 1.8
## some university studies, but no degree 0.3 0.0
## Total 100.1 100.0
## Count 354.0 390.0
## COUNTRY
## C20 Sudan Sweden
## Not completed high school 0.0 1.1
## Completed high school 4.8 12.0
## College/Bachelor\342\200\231s degree or equivalent 79.3 52.0
## Master's degree or equivalent 14.8 8.0
## Doctorate 1.1 0.5
## some university studies, but no degree 0.0 26.4
## Total 100.0 100.0
## Count 271.0 640.0
## COUNTRY
## C20 Switzerland Taiwan
## Not completed high school 9.1 NaN
## Completed high school 10.9 NaN
## College/Bachelor\342\200\231s degree or equivalent 24.0 NaN
## Master's degree or equivalent 42.3 NaN
## Doctorate 3.3 NaN
## some university studies, but no degree 10.4 NaN
## Total 100.0 NaN
## Count 871.0 0
## COUNTRY
## C20 Tanzania Thailand
## Not completed high school 0.0 3.7
## Completed high school 0.7 14.7
## College/Bachelor\342\200\231s degree or equivalent 91.5 70.9
## Master's degree or equivalent 7.7 10.7
## Doctorate 0.0 0.0
## some university studies, but no degree 0.0 0.0
## Total 99.9 100.0
## Count 272.0 374.0
## COUNTRY
## C20 Turkey_NON-REP UAE
## Not completed high school 1.8 1.4
## Completed high school 7.1 5.5
## College/Bachelor\342\200\231s degree or equivalent 80.4 72.3
## Master's degree or equivalent 10.7 18.2
## Doctorate 0.0 1.4
## some university studies, but no degree 0.0 1.4
## Total 100.0 100.2
## Count 56.0 220.0
## COUNTRY
## C20 Uganda UK USA
## Not completed high school NaN 0.6 0.0
## Completed high school NaN 6.0 1.5
## College/Bachelor\342\200\231s degree or equivalent NaN 52.1 72.6
## Master's degree or equivalent NaN 32.4 20.8
## Doctorate NaN 1.9 0.2
## some university studies, but no degree NaN 7.1 4.8
## Total NaN 100.1 99.9
## Count 0 695.0 413.0
## COUNTRY
## C20 Zambia
## Not completed high school NaN
## Completed high school NaN
## College/Bachelor\342\200\231s degree or equivalent NaN
## Master's degree or equivalent NaN
## Doctorate NaN
## some university studies, but no degree NaN
## Total NaN
## Count 0#During your studies, did you specialize in journalism or another communication field?#
colPercents(xtabs(~C21+COUNTRY, data=wjsn))## COUNTRY
## C21 Albania
## Yes, specialized in journalism 41.0
## Yes, specialized in other communication field 21.7
## Yes, specialized both in journalism and another communication field 10.7
## No, did not specialize in these fields 26.6
## Total 100.0
## Count 290.0
## COUNTRY
## C21 Argentina
## Yes, specialized in journalism 50.8
## Yes, specialized in other communication field 11.9
## Yes, specialized both in journalism and another communication field 16.6
## No, did not specialize in these fields 20.7
## Total 100.0
## Count 295.0
## COUNTRY
## C21 Australia
## Yes, specialized in journalism 66.2
## Yes, specialized in other communication field 8.5
## Yes, specialized both in journalism and another communication field 6.5
## No, did not specialize in these fields 18.8
## Total 100.0
## Count 520.0
## COUNTRY
## C21 Austria
## Yes, specialized in journalism 25.5
## Yes, specialized in other communication field 11.1
## Yes, specialized both in journalism and another communication field 18.0
## No, did not specialize in these fields 45.4
## Total 100.0
## Count 588.0
## COUNTRY
## C21 Bangladesh
## Yes, specialized in journalism 11.6
## Yes, specialized in other communication field 4.9
## Yes, specialized both in journalism and another communication field 33.0
## No, did not specialize in these fields 50.5
## Total 100.0
## Count 285.0
## COUNTRY
## C21 Belgium
## Yes, specialized in journalism 50.4
## Yes, specialized in other communication field 9.2
## Yes, specialized both in journalism and another communication field 6.8
## No, did not specialize in these fields 33.7
## Total 100.1
## Count 546.0
## COUNTRY
## C21 Bhutan
## Yes, specialized in journalism 13.8
## Yes, specialized in other communication field 4.6
## Yes, specialized both in journalism and another communication field 4.6
## No, did not specialize in these fields 77.0
## Total 100.0
## Count 87.0
## COUNTRY
## C21 Botswana
## Yes, specialized in journalism 29.0
## Yes, specialized in other communication field 23.3
## Yes, specialized both in journalism and another communication field 32.4
## No, did not specialize in these fields 15.3
## Total 100.0
## Count 176.0
## COUNTRY
## C21 Brazil
## Yes, specialized in journalism 89.2
## Yes, specialized in other communication field 1.5
## Yes, specialized both in journalism and another communication field 7.0
## No, did not specialize in these fields 2.3
## Total 100.0
## Count 342.0
## COUNTRY
## C21 Bulgaria
## Yes, specialized in journalism NaN
## Yes, specialized in other communication field NaN
## Yes, specialized both in journalism and another communication field NaN
## No, did not specialize in these fields NaN
## Total NaN
## Count 0
## COUNTRY
## C21 Cameroon
## Yes, specialized in journalism NaN
## Yes, specialized in other communication field NaN
## Yes, specialized both in journalism and another communication field NaN
## No, did not specialize in these fields NaN
## Total NaN
## Count 0
## COUNTRY
## C21 Canada
## Yes, specialized in journalism 61.3
## Yes, specialized in other communication field 9.0
## Yes, specialized both in journalism and another communication field 4.5
## No, did not specialize in these fields 25.2
## Total 100.0
## Count 333.0
## COUNTRY
## C21 Chile
## Yes, specialized in journalism 44.6
## Yes, specialized in other communication field 8.5
## Yes, specialized both in journalism and another communication field 34.0
## No, did not specialize in these fields 13.0
## Total 100.1
## Count 471.0
## COUNTRY
## C21 China
## Yes, specialized in journalism 45.2
## Yes, specialized in other communication field 23.7
## Yes, specialized both in journalism and another communication field 7.6
## No, did not specialize in these fields 23.5
## Total 100.0
## Count 633.0
## COUNTRY
## C21 Colombia
## Yes, specialized in journalism 23.0
## Yes, specialized in other communication field 7.9
## Yes, specialized both in journalism and another communication field 0.0
## No, did not specialize in these fields 69.1
## Total 100.0
## Count 479.0
## COUNTRY
## C21 Croatia
## Yes, specialized in journalism 37.2
## Yes, specialized in other communication field 10.3
## Yes, specialized both in journalism and another communication field 5.4
## No, did not specialize in these fields 47.0
## Total 99.9
## Count 349.0
## COUNTRY
## C21 Cyprus
## Yes, specialized in journalism 59.2
## Yes, specialized in other communication field 7.5
## Yes, specialized both in journalism and another communication field 14.9
## No, did not specialize in these fields 18.4
## Total 100.0
## Count 201.0
## COUNTRY
## C21 Czech Republic
## Yes, specialized in journalism 38.0
## Yes, specialized in other communication field 13.1
## Yes, specialized both in journalism and another communication field 11.7
## No, did not specialize in these fields 37.1
## Total 99.9
## Count 213.0
## COUNTRY
## C21 Denmark
## Yes, specialized in journalism 78.3
## Yes, specialized in other communication field 8.8
## Yes, specialized both in journalism and another communication field 0.1
## No, did not specialize in these fields 12.8
## Total 100.0
## Count 1211.0
## COUNTRY
## C21 Ecuador
## Yes, specialized in journalism 35.3
## Yes, specialized in other communication field 18.0
## Yes, specialized both in journalism and another communication field 32.2
## No, did not specialize in these fields 14.5
## Total 100.0
## Count 317.0
## COUNTRY
## C21 Egypt
## Yes, specialized in journalism 39.8
## Yes, specialized in other communication field 23.0
## Yes, specialized both in journalism and another communication field 10.5
## No, did not specialize in these fields 26.8
## Total 100.1
## Count 392.0
## COUNTRY
## C21 El Salvador
## Yes, specialized in journalism 36.4
## Yes, specialized in other communication field 16.4
## Yes, specialized both in journalism and another communication field 34.5
## No, did not specialize in these fields 12.7
## Total 100.0
## Count 220.0
## COUNTRY
## C21 Estonia
## Yes, specialized in journalism 44.8
## Yes, specialized in other communication field 8.1
## Yes, specialized both in journalism and another communication field 3.2
## No, did not specialize in these fields 44.0
## Total 100.1
## Count 248.0
## COUNTRY
## C21 Ethiopia
## Yes, specialized in journalism 17.4
## Yes, specialized in other communication field 12.7
## Yes, specialized both in journalism and another communication field 26.5
## No, did not specialize in these fields 43.4
## Total 100.0
## Count 339.0
## COUNTRY
## C21 Fiji
## Yes, specialized in journalism NaN
## Yes, specialized in other communication field NaN
## Yes, specialized both in journalism and another communication field NaN
## No, did not specialize in these fields NaN
## Total NaN
## Count 0
## COUNTRY
## C21 Finland
## Yes, specialized in journalism 45.0
## Yes, specialized in other communication field 10.6
## Yes, specialized both in journalism and another communication field 7.8
## No, did not specialize in these fields 36.6
## Total 100.0
## Count 320.0
## COUNTRY
## C21 France_NON-REP
## Yes, specialized in journalism 58.7
## Yes, specialized in other communication field 4.6
## Yes, specialized both in journalism and another communication field 18.8
## No, did not specialize in these fields 17.9
## Total 100.0
## Count 218.0
## COUNTRY
## C21 Germany
## Yes, specialized in journalism 20.5
## Yes, specialized in other communication field 15.8
## Yes, specialized both in journalism and another communication field 7.6
## No, did not specialize in these fields 56.2
## Total 100.1
## Count 621.0
## COUNTRY
## C21 Greece
## Yes, specialized in journalism 42.9
## Yes, specialized in other communication field 8.5
## Yes, specialized both in journalism and another communication field 23.4
## No, did not specialize in these fields 25.2
## Total 100.0
## Count 282.0
## COUNTRY
## C21 Hong Kong
## Yes, specialized in journalism 64.7
## Yes, specialized in other communication field 10.1
## Yes, specialized both in journalism and another communication field 2.9
## No, did not specialize in these fields 22.3
## Total 100.0
## Count 417.0
## COUNTRY
## C21 Hungary
## Yes, specialized in journalism 24.6
## Yes, specialized in other communication field 32.0
## Yes, specialized both in journalism and another communication field 26.3
## No, did not specialize in these fields 17.2
## Total 100.1
## Count 297.0
## COUNTRY
## C21 Iceland
## Yes, specialized in journalism 22.3
## Yes, specialized in other communication field 8.6
## Yes, specialized both in journalism and another communication field 0.7
## No, did not specialize in these fields 68.3
## Total 99.9
## Count 139.0
## COUNTRY
## C21 India
## Yes, specialized in journalism 50.5
## Yes, specialized in other communication field 5.3
## Yes, specialized both in journalism and another communication field 16.9
## No, did not specialize in these fields 27.3
## Total 100.0
## Count 491.0
## COUNTRY
## C21 Indonesia
## Yes, specialized in journalism 16.8
## Yes, specialized in other communication field 10.9
## Yes, specialized both in journalism and another communication field 9.2
## No, did not specialize in these fields 63.1
## Total 100.0
## Count 607.0
## COUNTRY
## C21 Ireland
## Yes, specialized in journalism 57.5
## Yes, specialized in other communication field 9.2
## Yes, specialized both in journalism and another communication field 11.1
## No, did not specialize in these fields 22.2
## Total 100.0
## Count 153.0
## COUNTRY
## C21 Israel
## Yes, specialized in journalism 33.7
## Yes, specialized in other communication field 7.6
## Yes, specialized both in journalism and another communication field 7.2
## No, did not specialize in these fields 51.5
## Total 100.0
## Count 264.0
## COUNTRY
## C21 Italy
## Yes, specialized in journalism 25.5
## Yes, specialized in other communication field 11.1
## Yes, specialized both in journalism and another communication field 17.1
## No, did not specialize in these fields 46.3
## Total 100.0
## Count 369.0
## COUNTRY
## C21 Japan
## Yes, specialized in journalism 6.8
## Yes, specialized in other communication field 4.1
## Yes, specialized both in journalism and another communication field 1.7
## No, did not specialize in these fields 87.4
## Total 100.0
## Count 691.0
## COUNTRY
## C21 Kenya
## Yes, specialized in journalism 52.7
## Yes, specialized in other communication field 20.7
## Yes, specialized both in journalism and another communication field 22.0
## No, did not specialize in these fields 4.7
## Total 100.1
## Count 300.0
## COUNTRY
## C21 Kosovo
## Yes, specialized in journalism 52.1
## Yes, specialized in other communication field 4.2
## Yes, specialized both in journalism and another communication field 17.6
## No, did not specialize in these fields 26.1
## Total 100.0
## Count 165.0
## COUNTRY
## C21 Latvia
## Yes, specialized in journalism 46.2
## Yes, specialized in other communication field 5.0
## Yes, specialized both in journalism and another communication field 10.3
## No, did not specialize in these fields 38.4
## Total 99.9
## Count 320.0
## COUNTRY
## C21 Malawi
## Yes, specialized in journalism 65.1
## Yes, specialized in other communication field 7.0
## Yes, specialized both in journalism and another communication field 17.8
## No, did not specialize in these fields 10.1
## Total 100.0
## Count 129.0
## COUNTRY
## C21 Malaysia
## Yes, specialized in journalism 32.8
## Yes, specialized in other communication field 21.3
## Yes, specialized both in journalism and another communication field 11.9
## No, did not specialize in these fields 34.0
## Total 100.0
## Count 253.0
## COUNTRY
## C21 Mexico
## Yes, specialized in journalism 37.0
## Yes, specialized in other communication field 21.4
## Yes, specialized both in journalism and another communication field 10.0
## No, did not specialize in these fields 31.7
## Total 100.1
## Count 341.0
## COUNTRY
## C21 Moldova
## Yes, specialized in journalism 53.8
## Yes, specialized in other communication field 11.8
## Yes, specialized both in journalism and another communication field 11.3
## No, did not specialize in these fields 23.1
## Total 100.0
## Count 195.0
## COUNTRY
## C21 Netherlands
## Yes, specialized in journalism 43.5
## Yes, specialized in other communication field 8.2
## Yes, specialized both in journalism and another communication field 13.4
## No, did not specialize in these fields 34.8
## Total 99.9
## Count 462.0
## COUNTRY
## C21 New Zealand
## Yes, specialized in journalism 54.2
## Yes, specialized in other communication field 6.5
## Yes, specialized both in journalism and another communication field 9.9
## No, did not specialize in these fields 29.4
## Total 100.0
## Count 463.0
## COUNTRY
## C21 Norway
## Yes, specialized in journalism 48.2
## Yes, specialized in other communication field 16.5
## Yes, specialized both in journalism and another communication field 7.6
## No, did not specialize in these fields 27.7
## Total 100.0
## Count 357.0
## COUNTRY
## C21 Philippines
## Yes, specialized in journalism 44.8
## Yes, specialized in other communication field 17.0
## Yes, specialized both in journalism and another communication field 12.0
## No, did not specialize in these fields 26.2
## Total 100.0
## Count 324.0
## COUNTRY
## C21 Poland
## Yes, specialized in journalism NaN
## Yes, specialized in other communication field NaN
## Yes, specialized both in journalism and another communication field NaN
## No, did not specialize in these fields NaN
## Total NaN
## Count 0
## COUNTRY
## C21 Portugal
## Yes, specialized in journalism 60.4
## Yes, specialized in other communication field 7.5
## Yes, specialized both in journalism and another communication field 13.6
## No, did not specialize in these fields 18.4
## Total 99.9
## Count 374.0
## COUNTRY
## C21 Oman
## Yes, specialized in journalism 14.0
## Yes, specialized in other communication field 15.9
## Yes, specialized both in journalism and another communication field 45.4
## No, did not specialize in these fields 24.6
## Total 99.9
## Count 207.0
## COUNTRY
## C21 Qatar
## Yes, specialized in journalism 30.0
## Yes, specialized in other communication field 30.7
## Yes, specialized both in journalism and another communication field 27.0
## No, did not specialize in these fields 12.3
## Total 100.0
## Count 300.0
## COUNTRY
## C21 Romania
## Yes, specialized in journalism 47.4
## Yes, specialized in other communication field 17.2
## Yes, specialized both in journalism and another communication field 15.7
## No, did not specialize in these fields 19.7
## Total 100.0
## Count 274.0
## COUNTRY
## C21 Russia
## Yes, specialized in journalism 67.0
## Yes, specialized in other communication field 4.7
## Yes, specialized both in journalism and another communication field 5.8
## No, did not specialize in these fields 22.5
## Total 100.0
## Count 382.0
## COUNTRY
## C21 Serbia
## Yes, specialized in journalism 41.2
## Yes, specialized in other communication field 7.4
## Yes, specialized both in journalism and another communication field 8.5
## No, did not specialize in these fields 42.9
## Total 100.0
## Count 340.0
## COUNTRY
## C21 Sierra Leone
## Yes, specialized in journalism 28.4
## Yes, specialized in other communication field 23.1
## Yes, specialized both in journalism and another communication field 21.6
## No, did not specialize in these fields 26.9
## Total 100.0
## Count 134.0
## COUNTRY
## C21 Singapore_NON-REP
## Yes, specialized in journalism 22.5
## Yes, specialized in other communication field 13.5
## Yes, specialized both in journalism and another communication field 5.6
## No, did not specialize in these fields 58.4
## Total 100.0
## Count 89.0
## COUNTRY
## C21 South Africa
## Yes, specialized in journalism 50.0
## Yes, specialized in other communication field 8.8
## Yes, specialized both in journalism and another communication field 16.1
## No, did not specialize in these fields 25.1
## Total 100.0
## Count 342.0
## COUNTRY
## C21 South Korea
## Yes, specialized in journalism 31.6
## Yes, specialized in other communication field 6.0
## Yes, specialized both in journalism and another communication field 8.5
## No, did not specialize in these fields 53.8
## Total 99.9
## Count 351.0
## COUNTRY
## C21 Spain
## Yes, specialized in journalism 80.7
## Yes, specialized in other communication field 7.0
## Yes, specialized both in journalism and another communication field 4.0
## No, did not specialize in these fields 8.3
## Total 100.0
## Count 373.0
## COUNTRY
## C21 Sudan
## Yes, specialized in journalism 44.4
## Yes, specialized in other communication field 12.8
## Yes, specialized both in journalism and another communication field 11.3
## No, did not specialize in these fields 31.5
## Total 100.0
## Count 257.0
## COUNTRY
## C21 Sweden
## Yes, specialized in journalism 60.7
## Yes, specialized in other communication field 7.4
## Yes, specialized both in journalism and another communication field 10.2
## No, did not specialize in these fields 21.7
## Total 100.0
## Count 557.0
## COUNTRY
## C21 Switzerland
## Yes, specialized in journalism 27.3
## Yes, specialized in other communication field 9.8
## Yes, specialized both in journalism and another communication field 10.2
## No, did not specialize in these fields 52.7
## Total 100.0
## Count 695.0
## COUNTRY
## C21 Taiwan
## Yes, specialized in journalism NaN
## Yes, specialized in other communication field NaN
## Yes, specialized both in journalism and another communication field NaN
## No, did not specialize in these fields NaN
## Total NaN
## Count 0
## COUNTRY
## C21 Tanzania
## Yes, specialized in journalism 33.0
## Yes, specialized in other communication field 1.9
## Yes, specialized both in journalism and another communication field 43.0
## No, did not specialize in these fields 22.2
## Total 100.1
## Count 270.0
## COUNTRY
## C21 Thailand
## Yes, specialized in journalism 14.5
## Yes, specialized in other communication field 33.4
## Yes, specialized both in journalism and another communication field 16.9
## No, did not specialize in these fields 35.1
## Total 99.9
## Count 296.0
## COUNTRY
## C21 Turkey_NON-REP
## Yes, specialized in journalism 35.3
## Yes, specialized in other communication field 7.8
## Yes, specialized both in journalism and another communication field 15.7
## No, did not specialize in these fields 41.2
## Total 100.0
## Count 51.0
## COUNTRY
## C21 UAE
## Yes, specialized in journalism 30.9
## Yes, specialized in other communication field 28.4
## Yes, specialized both in journalism and another communication field 18.6
## No, did not specialize in these fields 22.1
## Total 100.0
## Count 204.0
## COUNTRY
## C21 Uganda
## Yes, specialized in journalism NaN
## Yes, specialized in other communication field NaN
## Yes, specialized both in journalism and another communication field NaN
## No, did not specialize in these fields NaN
## Total NaN
## Count 0
## COUNTRY
## C21 UK
## Yes, specialized in journalism 33.3
## Yes, specialized in other communication field 5.1
## Yes, specialized both in journalism and another communication field 5.7
## No, did not specialize in these fields 55.9
## Total 100.0
## Count 648.0
## COUNTRY
## C21 USA
## Yes, specialized in journalism 59.2
## Yes, specialized in other communication field 15.0
## Yes, specialized both in journalism and another communication field 5.9
## No, did not specialize in these fields 19.9
## Total 100.0
## Count 407.0
## COUNTRY
## C21 Zambia
## Yes, specialized in journalism NaN
## Yes, specialized in other communication field NaN
## Yes, specialized both in journalism and another communication field NaN
## No, did not specialize in these fields NaN
## Total NaN
## Count 0#What is your gender?#
colPercents(xtabs(~C22+COUNTRY, data=wjsn))## COUNTRY
## C22 Albania Argentina Australia Austria Bangladesh Belgium Bhutan
## Female 51.7 36.9 55.5 40.8 10.9 36.5 50
## Male 48.3 63.1 44.5 59.2 89.1 63.5 50
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100
## Count 292.0 363.0 605.0 774.0 339.0 592.0 86
## COUNTRY
## C22 Botswana Brazil Bulgaria Cameroon Canada Chile China Colombia
## Female 37.6 49.2 NaN NaN 43.5 43.2 50.5 39.7
## Male 62.4 50.8 NaN NaN 56.5 56.8 49.5 60.3
## Total 100.0 100.0 NaN NaN 100.0 100.0 100.0 100.0
## Count 186.0 376.0 0 0 352.0 491.0 646.0 552.0
## COUNTRY
## C22 Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador
## Female 53.9 42.2 43.3 43.1 33.2 36.5 40.4
## Male 46.1 57.8 56.7 56.9 66.8 63.5 59.6
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0
## Count 549.0 204.0 291.0 1298.0 365.0 400.0 250.0
## COUNTRY
## C22 Estonia Ethiopia Fiji Finland France_NON-REP Germany Greece
## Female 58.4 28.9 NaN 55.2 45.4 40.1 47
## Male 41.6 71.1 NaN 44.8 54.6 59.9 53
## Total 100.0 100.0 NaN 100.0 100.0 100.0 100
## Count 274.0 350.0 0 366.0 227.0 773.0 383
## COUNTRY
## C22 Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy
## Female 44.9 47.5 35 27.6 21.5 41.9 32.6 42.4
## Male 55.1 52.5 65 72.4 78.5 58.1 67.4 57.6
## Total 100.0 100.0 100 100.0 100.0 100.0 100.0 100.0
## Count 468.0 381.0 180 518.0 662.0 167.0 340.0 396.0
## COUNTRY
## C22 Japan Kenya Kosovo Latvia Malawi Malaysia Mexico Moldova
## Female 17.9 42.3 45.5 72.4 35.1 52.6 31.8 60.6
## Male 82.1 57.7 54.5 27.6 64.9 47.4 68.2 39.4
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
## Count 725.0 333.0 202.0 340.0 174.0 350.0 377.0 221.0
## COUNTRY
## C22 Netherlands New Zealand Norway Philippines Poland Portugal Oman
## Female 39.3 50.4 50.4 51.1 NaN 45.9 39.7
## Male 60.7 49.6 49.6 48.9 NaN 54.1 60.3
## Total 100.0 100.0 100.0 100.0 NaN 100.0 100.0
## Count 522.0 506.0 478.0 325.0 0 405.0 257.0
## COUNTRY
## C22 Qatar Romania Russia Serbia Sierra Leone Singapore_NON-REP
## Female 27.7 62.5 64.6 53.8 29.1 58.9
## Male 72.3 37.5 35.4 46.2 70.9 41.1
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 383.0 341.0 384.0 398.0 220.0 95.0
## COUNTRY
## C22 South Africa South Korea Spain Sudan Sweden Switzerland Taiwan
## Female 62.1 23.7 41 34.9 45.9 38.5 NaN
## Male 37.9 76.3 59 65.1 54.1 61.5 NaN
## Total 100.0 100.0 100 100.0 100.0 100.0 NaN
## Count 369.0 355.0 390 255.0 673.0 909.0 0
## COUNTRY
## C22 Tanzania Thailand Turkey_NON-REP UAE Uganda UK USA Zambia
## Female 45.2 43.8 44.9 50.2 NaN 45.2 27.1 NaN
## Male 54.8 56.2 55.1 49.8 NaN 54.8 72.9 NaN
## Total 100.0 100.0 100.0 100.0 NaN 100.0 100.0 NaN
## Count 272.0 368.0 89.0 237.0 0 695.0 414.0 0#In what year were you born?#
aggregate(C23~COUNTRY, wjsn, mean)## COUNTRY C23
## 1 Albania 32.54225
## 2 Argentina 38.74640
## 3 Australia 37.74129
## 4 Austria 43.00139
## 5 Bangladesh 36.67169
## 6 Belgium 38.16354
## 7 Bhutan 27.88571
## 8 Botswana 34.06977
## 9 Brazil 34.68085
## 10 Canada 44.50857
## 11 Chile 32.99384
## 12 China 33.90187
## 13 Colombia 35.20751
## 14 Croatia 44.69216
## 15 Cyprus 37.51000
## 16 Czech Republic 35.67883
## 17 Denmark 45.89720
## 18 Ecuador 35.22380
## 19 Egypt 36.73000
## 20 El Salvador 31.99600
## 21 Estonia 40.93822
## 22 Ethiopia 30.38911
## 23 Finland 43.40110
## 24 France_NON-REP 36.63839
## 25 Germany 45.58311
## 26 Greece 40.22715
## 27 Hong Kong 30.00895
## 28 Hungary 33.16667
## 29 Iceland 39.58491
## 30 India 36.52203
## 31 Indonesia 34.42530
## 32 Ireland 39.18345
## 33 Israel 42.87952
## 34 Italy 42.98477
## 35 Japan 41.25426
## 36 Kenya 31.93939
## 37 Kosovo 30.82778
## 38 Latvia 40.26866
## 39 Malawi 31.23026
## 40 Malaysia 35.45890
## 41 Mexico 38.40811
## 42 Moldova 30.26244
## 43 Netherlands 46.75577
## 44 New Zealand 43.66203
## 45 Norway 43.33461
## 46 Philippines 37.86392
## 47 Portugal 39.00000
## 48 Oman 37.88372
## 49 Romania 30.64516
## 50 Russia 32.10513
## 51 Serbia 40.92112
## 52 Sierra Leone 31.59091
## 53 Singapore_NON-REP 37.70238
## 54 South Africa 39.92458
## 55 South Korea 37.18750
## 56 Spain 39.23136
## 57 Sudan 37.33725
## 58 Sweden 51.32191
## 59 Switzerland 41.63072
## 60 Tanzania 27.62782
## 61 Thailand 37.19074
## 62 Turkey_NON-REP 32.35366
## 63 UAE 37.72906
## 64 UK 43.17188
## 65 USA 46.90909#Rank of respondent#
colPercents(xtabs(~T5+COUNTRY, data=wjsn))## COUNTRY
## T5 Albania Argentina Australia Austria Bangladesh
## Senior/executive manager 19.3 36.0 13.7 17.6 23.9
## "Junior" manager 23.1 23.8 25.3 71.4 23.6
## Rank-and-file 57.6 40.2 61.0 11.0 52.6
## Total 100.0 100.0 100.0 100.0 100.1
## Count 295.0 361.0 605.0 818.0 352.0
## COUNTRY
## T5 Belgium Bhutan Botswana Brazil Bulgaria
## Senior/executive manager 13.7 22.2 9 8.0 NaN
## "Junior" manager 16.9 28.9 31 9.3 NaN
## Rank-and-file 69.4 48.9 60 82.7 NaN
## Total 100.0 100.0 100 100.0 NaN
## Count 592.0 90.0 155 376.0 0
## COUNTRY
## T5 Cameroon Canada Chile China Colombia Croatia
## Senior/executive manager NaN 13.1 7.1 0.9 16.2 15.7
## "Junior" manager NaN 12.8 18.9 17.3 17.3 37.0
## Rank-and-file NaN 74.1 73.9 81.7 66.4 47.3
## Total NaN 100.0 99.9 99.9 99.9 100.0
## Count 0 352.0 491.0 652.0 554.0 408.0
## COUNTRY
## T5 Cyprus Czech Republic Denmark Ecuador Egypt
## Senior/executive manager 7.8 19.2 6.2 21.0 22.8
## "Junior" manager 2.9 23.0 22.8 23.4 33.5
## Rank-and-file 89.2 57.7 71.1 55.6 43.8
## Total 99.9 99.9 100.1 100.0 100.1
## Count 204.0 291.0 1362.0 372.0 400.0
## COUNTRY
## T5 El Salvador Estonia Ethiopia Fiji Finland
## Senior/executive manager 11.6 17.5 4.6 NaN 7.1
## "Junior" manager 22.4 18.2 17.7 NaN 20.2
## Rank-and-file 66.0 64.2 77.7 NaN 72.7
## Total 100.0 99.9 100.0 NaN 100.0
## Count 250.0 274.0 350.0 0 366.0
## COUNTRY
## T5 France_NON-REP Germany Greece Hong Kong Hungary
## Senior/executive manager 9.2 21.6 6.6 1.7 15.7
## "Junior" manager 63.2 69.2 20.4 27.4 27.2
## Rank-and-file 27.6 9.2 73.0 70.9 57.1
## Total 100.0 100.0 100.0 100.0 100.0
## Count 228.0 747.0 411.0 471.0 389.0
## COUNTRY
## T5 Iceland India Indonesia Ireland Israel Italy
## Senior/executive manager 15.6 9.7 24.5 12.3 14.1 8.3
## "Junior" manager 15.1 38.8 4.9 22.3 17.0 25.5
## Rank-and-file 69.4 51.5 70.6 65.4 68.9 66.2
## Total 100.1 100.0 100.0 100.0 100.0 100.0
## Count 186.0 526.0 654.0 301.0 341.0 278.0
## COUNTRY
## T5 Japan Kenya Kosovo Latvia Malawi Malaysia
## Senior/executive manager 2.6 4.4 11.2 22.6 17 4.6
## "Junior" manager 63.7 37.1 14.1 24.7 44 41.3
## Rank-and-file 33.7 58.5 74.8 52.6 39 54.1
## Total 100.0 100.0 100.1 99.9 100 100.0
## Count 502.0 340.0 206.0 340.0 182 368.0
## COUNTRY
## T5 Mexico Moldova Netherlands New Zealand Norway
## Senior/executive manager 9.6 19.5 24.8 20.2 10.7
## "Junior" manager 31.9 17.6 27.4 22.3 6.1
## Rank-and-file 58.5 62.9 47.8 57.5 83.2
## Total 100.0 100.0 100.0 100.0 100.0
## Count 376.0 221.0 521.0 539.0 524.0
## COUNTRY
## T5 Philippines Poland Portugal Oman Qatar Romania
## Senior/executive manager 8.0 NaN 21 54.5 5.3 22.6
## "Junior" manager 24.4 NaN 21 37.4 31.3 21.7
## Rank-and-file 67.6 NaN 58 8.2 63.3 55.7
## Total 100.0 NaN 100 100.1 99.9 100.0
## Count 349.0 0 362 257.0 412.0 341.0
## COUNTRY
## T5 Russia Serbia Sierra Leone Singapore_NON-REP
## Senior/executive manager 16.2 14.3 10.3 22.1
## "Junior" manager 30.5 35.4 32.1 21.1
## Rank-and-file 53.3 50.4 57.6 56.8
## Total 100.0 100.1 100.0 100.0
## Count 390.0 407.0 224.0 95.0
## COUNTRY
## T5 South Africa South Korea Spain Sudan Sweden
## Senior/executive manager 20.3 3.0 12.1 16.0 4.1
## "Junior" manager 27.2 38.9 22.8 16.4 18.2
## Rank-and-file 52.5 58.2 65.1 67.6 77.8
## Total 100.0 100.1 100.0 100.0 100.1
## Count 360.0 337.0 390.0 256.0 666.0
## COUNTRY
## T5 Switzerland Taiwan Tanzania Thailand
## Senior/executive manager 15.7 NaN 12.5 10.4
## "Junior" manager 68.1 NaN 26.5 39.3
## Rank-and-file 16.2 NaN 61.0 50.3
## Total 100.0 NaN 100.0 100.0
## Count 902.0 0 272.0 374.0
## COUNTRY
## T5 Turkey_NON-REP UAE Uganda UK USA Zambia
## Senior/executive manager 28.9 36.7 NaN 25.4 51.0 NaN
## "Junior" manager 0.0 20.3 NaN 38.1 22.0 NaN
## Rank-and-file 71.1 43.0 NaN 36.5 27.1 NaN
## Total 100.0 100.0 NaN 100.0 100.1 NaN
## Count 45.0 237.0 0 698.0 414.0 0#Type of medium#
colPercents(xtabs(~T7.1+COUNTRY, data=wjsn))## COUNTRY
## T7.1 Albania Argentina Australia Austria Bangladesh Belgium Bhutan
## Yes 24.4 24 38.3 38 53.1 32.3 24.4
## No 75.6 76 61.7 62 46.9 67.7 75.6
## Total 100.0 100 100.0 100 100.0 100.0 100.0
## Count 295.0 362 605.0 818 352.0 588.0 90.0
## COUNTRY
## T7.1 Botswana Brazil Bulgaria Cameroon Canada Chile China Colombia
## Yes 18.3 42.6 NaN NaN 58.7 35.2 33 28.7
## No 81.7 57.4 NaN NaN 41.3 64.8 67 71.2
## Total 100.0 100.0 NaN NaN 100.0 100.0 100 99.9
## Count 186.0 376.0 0 0 293.0 491.0 652 560.0
## COUNTRY
## T7.1 Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador
## Yes 26 32.4 36.4 39.2 21.5 33.8 22.4
## No 74 67.6 63.6 60.8 78.5 66.2 77.6
## Total 100 100.0 100.0 100.0 100.0 100.0 100.0
## Count 396 204.0 291.0 1357.0 372.0 400.0 250.0
## COUNTRY
## T7.1 Estonia Ethiopia Fiji Finland France_NON-REP Germany Greece
## Yes 26.7 12 NaN 30.9 45.1 33.7 31.6
## No 73.3 88 NaN 69.1 54.9 66.3 68.4
## Total 100.0 100 NaN 100.0 100.0 100.0 100.0
## Count 270.0 350 0 366.0 224.0 775.0 411.0
## COUNTRY
## T7.1 Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy
## Yes 46.1 15.7 37.8 63.4 44 34.5 25.8 36.6
## No 53.9 84.3 62.2 36.6 56 65.5 74.2 63.4
## Total 100.0 100.0 100.0 100.0 100 100.0 100.0 100.0
## Count 471.0 389.0 185.0 516.0 663 284.0 341.0 396.0
## COUNTRY
## T7.1 Japan Kenya Kosovo Latvia Malawi Malaysia Mexico Moldova
## Yes 51.1 22.4 13.1 33.2 7.7 52.2 34 9
## No 48.9 77.6 86.9 66.8 92.3 47.8 66 91
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100 100
## Count 747.0 335.0 206.0 340.0 182.0 368.0 377 221
## COUNTRY
## T7.1 Netherlands New Zealand Norway Philippines Poland Portugal Oman
## Yes 24.3 30.1 44.1 45.3 NaN NaN 43.2
## No 75.7 69.9 55.9 54.7 NaN NaN 56.8
## Total 100.0 100.0 100.0 100.0 NaN NaN 100.0
## Count 522.0 538.0 608.0 349.0 0 0 257.0
## COUNTRY
## T7.1 Qatar Romania Russia Serbia Sierra Leone Singapore_NON-REP
## Yes 29.9 24.9 19.7 24.1 25.9 69.5
## No 70.1 75.1 80.3 75.9 74.1 30.5
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 412.0 341.0 390.0 407.0 220.0 95.0
## COUNTRY
## T7.1 South Africa South Korea Spain Sudan Sweden Switzerland Taiwan
## Yes 31 36.9 40.3 78.3 57.4 36.9 NaN
## No 69 63.1 59.7 21.7 42.6 63.1 NaN
## Total 100 100.0 100.0 100.0 100.0 100.0 NaN
## Count 371 355.0 390.0 276.0 526.0 909.0 0
## COUNTRY
## T7.1 Tanzania Thailand Turkey_NON-REP UAE Uganda UK USA Zambia
## Yes 23.9 14.7 56.8 58.6 NaN 25.9 58.5 NaN
## No 76.1 85.3 43.2 41.4 NaN 74.1 41.5 NaN
## Total 100.0 100.0 100.0 100.0 NaN 100.0 100.0 NaN
## Count 272.0 374.0 95.0 237.0 0 700.0 414.0 0colPercents(xtabs(~T7.2+COUNTRY, data=wjsn))## COUNTRY
## T7.2 Albania Argentina Australia Austria Bangladesh Belgium Bhutan
## Yes 6.1 5 15 19.6 5.4 6.5 25.6
## No 93.9 95 85 80.4 94.6 93.5 74.4
## Total 100.0 100 100 100.0 100.0 100.0 100.0
## Count 295.0 363 605 818.0 352.0 588.0 90.0
## COUNTRY
## T7.2 Botswana Brazil Bulgaria Cameroon Canada Chile China Colombia
## Yes 39.8 1.1 NaN NaN 0.3 0.4 0 8.9
## No 60.2 98.9 NaN NaN 99.7 99.6 100 91.1
## Total 100.0 100.0 NaN NaN 100.0 100.0 100 100.0
## Count 186.0 376.0 0 0 293.0 491.0 652 560.0
## COUNTRY
## T7.2 Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador
## Yes 8.1 10.3 22 5.2 8.9 7.5 0.4
## No 91.9 89.7 78 94.8 91.1 92.5 99.6
## Total 100.0 100.0 100 100.0 100.0 100.0 100.0
## Count 396.0 204.0 291 1357.0 372.0 400.0 250.0
## COUNTRY
## T7.2 Estonia Ethiopia Fiji Finland France_NON-REP Germany Greece
## Yes 23 9.4 NaN 11.2 7.6 11 6.3
## No 77 90.6 NaN 88.8 92.4 89 93.7
## Total 100 100.0 NaN 100.0 100.0 100 100.0
## Count 270 350.0 0 366.0 224.0 775 411.0
## COUNTRY
## T7.2 Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy
## Yes 0 10.8 9.7 0 2.6 25 21.4 5.6
## No 100 89.2 90.3 100 97.4 75 78.6 94.4
## Total 100 100.0 100.0 100 100.0 100 100.0 100.0
## Count 471 389.0 185.0 516 663.0 284 341.0 396.0
## COUNTRY
## T7.2 Japan Kenya Kosovo Latvia Malawi Malaysia Mexico Moldova
## Yes 0 3.3 1.5 7.1 1.6 0 6.4 19.9
## No 100 96.7 98.5 92.9 98.4 100 93.6 80.1
## Total 100 100.0 100.0 100.0 100.0 100 100.0 100.0
## Count 747 335.0 206.0 340.0 182.0 368 377.0 221.0
## COUNTRY
## T7.2 Netherlands New Zealand Norway Philippines Poland Portugal Oman
## Yes 13.4 20.2 7.7 1.1 NaN NaN 23.3
## No 86.6 79.8 92.3 98.9 NaN NaN 76.7
## Total 100.0 100.0 100.0 100.0 NaN NaN 100.0
## Count 522.0 539.0 608.0 349.0 0 0 257.0
## COUNTRY
## T7.2 Qatar Romania Russia Serbia Sierra Leone Singapore_NON-REP
## Yes 0 5 12.3 8.1 6.8 6.3
## No 100 95 87.7 91.9 93.2 93.7
## Total 100 100 100.0 100.0 100.0 100.0
## Count 412 341 390.0 407.0 222.0 95.0
## COUNTRY
## T7.2 South Africa South Korea Spain Sudan Sweden Switzerland Taiwan
## Yes 32.6 0.6 0.8 0 0 20.5 NaN
## No 67.4 99.4 99.2 100 100 79.5 NaN
## Total 100.0 100.0 100.0 100 100 100.0 NaN
## Count 371.0 355.0 390.0 276 527 909.0 0
## COUNTRY
## T7.2 Tanzania Thailand Turkey_NON-REP UAE Uganda UK USA Zambia
## Yes 12.1 6.7 6.3 0 NaN 18.4 0 NaN
## No 87.9 93.3 93.7 100 NaN 81.6 100 NaN
## Total 100.0 100.0 100.0 100 NaN 100.0 100 NaN
## Count 272.0 374.0 95.0 237 0 700.0 414 0colPercents(xtabs(~T7.3+COUNTRY, data=wjsn))## COUNTRY
## T7.3 Albania Argentina Australia Austria Bangladesh Belgium Bhutan
## Yes 6.1 4.1 11.4 6.2 3.7 13.4 1.1
## No 93.9 95.9 88.6 93.8 96.3 86.6 98.9
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0
## Count 295.0 363.0 605.0 818.0 352.0 588.0 90.0
## COUNTRY
## T7.3 Botswana Brazil Bulgaria Cameroon Canada Chile China Colombia
## Yes 2.7 3.2 NaN NaN 5.1 13.8 0 2.1
## No 97.3 96.8 NaN NaN 94.9 86.2 100 97.9
## Total 100.0 100.0 NaN NaN 100.0 100.0 100 100.0
## Count 186.0 376.0 0 0 293.0 491.0 652 560.0
## COUNTRY
## T7.3 Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador
## Yes 3 1.5 1 27.1 2.7 15 0
## No 97 98.5 99 72.9 97.3 85 100
## Total 100 100.0 100 100.0 100.0 100 100
## Count 396 204.0 291 1357.0 372.0 400 250
## COUNTRY
## T7.3 Estonia Ethiopia Fiji Finland France_NON-REP Germany Greece
## Yes 15.9 3.7 NaN 27.3 4.9 24.3 1.5
## No 84.1 96.3 NaN 72.7 95.1 75.7 98.5
## Total 100.0 100.0 NaN 100.0 100.0 100.0 100.0
## Count 270.0 350.0 0 366.0 224.0 775.0 411.0
## COUNTRY
## T7.3 Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy
## Yes 0 9 3.2 1.9 3.8 1.4 2.6 7.3
## No 100 91 96.8 98.1 96.2 98.6 97.4 92.7
## Total 100 100 100.0 100.0 100.0 100.0 100.0 100.0
## Count 471 389 185.0 516.0 663.0 284.0 341.0 396.0
## COUNTRY
## T7.3 Japan Kenya Kosovo Latvia Malawi Malaysia Mexico Moldova
## Yes 0 0.6 1.5 10.9 0.5 7.3 1.6 9
## No 100 99.4 98.5 89.1 99.5 92.7 98.4 91
## Total 100 100.0 100.0 100.0 100.0 100.0 100.0 100
## Count 747 335.0 206.0 340.0 182.0 368.0 377.0 221
## COUNTRY
## T7.3 Netherlands New Zealand Norway Philippines Poland Portugal Oman
## Yes 45.2 16 12.3 0 NaN NaN 12.3
## No 54.8 84 87.7 100 NaN NaN 87.7
## Total 100.0 100 100.0 100 NaN NaN 100.0
## Count 522.0 539 608.0 349 0 0 253.0
## COUNTRY
## T7.3 Qatar Romania Russia Serbia Sierra Leone Singapore_NON-REP
## Yes 3.2 2.6 13.4 4.7 1.4 0
## No 96.8 97.4 86.6 95.3 98.6 100
## Total 100.0 100.0 100.0 100.0 100.0 100
## Count 412.0 341.0 389.0 407.0 222.0 95
## COUNTRY
## T7.3 South Africa South Korea Spain Sudan Sweden Switzerland Taiwan
## Yes 14.3 1.7 3.6 3.6 14.2 14.7 NaN
## No 85.7 98.3 96.4 96.4 85.8 85.3 NaN
## Total 100.0 100.0 100.0 100.0 100.0 100.0 NaN
## Count 371.0 355.0 390.0 276.0 527.0 909.0 0
## COUNTRY
## T7.3 Tanzania Thailand Turkey_NON-REP UAE Uganda UK USA Zambia
## Yes 5.1 0.8 0 3 NaN 43.7 0.7 NaN
## No 94.9 99.2 100 97 NaN 56.3 99.3 NaN
## Total 100.0 100.0 100 100 NaN 100.0 100.0 NaN
## Count 272.0 374.0 95 237 0 700.0 414.0 0colPercents(xtabs(~T7.4+COUNTRY, data=wjsn))## COUNTRY
## T7.4 Albania Argentina Australia Austria Bangladesh Belgium Bhutan
## Yes 41.7 12.9 14.5 18.5 16.2 24 36.7
## No 58.3 87.1 85.5 81.5 83.8 76 63.3
## Total 100.0 100.0 100.0 100.0 100.0 100 100.0
## Count 295.0 363.0 605.0 818.0 352.0 588 90.0
## COUNTRY
## T7.4 Botswana Brazil Bulgaria Cameroon Canada Chile China Colombia
## Yes 15.1 22.6 NaN NaN 22.5 25.9 38.7 20.9
## No 84.9 77.4 NaN NaN 77.5 74.1 61.3 79.1
## Total 100.0 100.0 NaN NaN 100.0 100.0 100.0 100.0
## Count 186.0 376.0 0 0 293.0 491.0 652.0 560.0
## COUNTRY
## T7.4 Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador
## Yes 23.7 33.8 10.7 22.7 27.7 28.5 30.8
## No 76.3 66.2 89.3 77.3 72.3 71.5 69.2
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0
## Count 396.0 204.0 291.0 1357.0 372.0 400.0 250.0
## COUNTRY
## T7.4 Estonia Ethiopia Fiji Finland France_NON-REP Germany Greece
## Yes 12.6 45.4 NaN 10.7 19.6 13.2 28.7
## No 87.4 54.6 NaN 89.3 80.4 86.8 71.3
## Total 100.0 100.0 NaN 100.0 100.0 100.0 100.0
## Count 270.0 350.0 0 366.0 224.0 775.0 411.0
## COUNTRY
## T7.4 Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy
## Yes 31.4 37.8 28.1 20.9 20.5 14.1 11.1 17.7
## No 68.6 62.2 71.9 79.1 79.5 85.9 88.9 82.3
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
## Count 471.0 389.0 185.0 516.0 663.0 284.0 341.0 396.0
## COUNTRY
## T7.4 Japan Kenya Kosovo Latvia Malawi Malaysia Mexico Moldova
## Yes 46.7 39.1 39.3 18.8 5.5 23.4 9.5 23.1
## No 53.3 60.9 60.7 81.2 94.5 76.6 90.5 76.9
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
## Count 747.0 335.0 206.0 340.0 182.0 368.0 377.0 221.0
## COUNTRY
## T7.4 Netherlands New Zealand Norway Philippines Poland Portugal Oman
## Yes 7.3 10.8 17.9 18.9 NaN NaN 19.5
## No 92.7 89.2 82.1 81.1 NaN NaN 80.5
## Total 100.0 100.0 100.0 100.0 NaN NaN 100.0
## Count 522.0 539.0 608.0 349.0 0 0 257.0
## COUNTRY
## T7.4 Qatar Romania Russia Serbia Sierra Leone Singapore_NON-REP
## Yes 49.5 32 26.2 31.7 2.7 8.4
## No 50.5 68 73.8 68.3 97.3 91.6
## Total 100.0 100 100.0 100.0 100.0 100.0
## Count 412.0 341 390.0 407.0 222.0 95.0
## COUNTRY
## T7.4 South Africa South Korea Spain Sudan Sweden Switzerland Taiwan
## Yes 6.7 39.7 17.9 10.9 10.6 13.3 NaN
## No 93.3 60.3 82.1 89.1 89.4 86.7 NaN
## Total 100.0 100.0 100.0 100.0 100.0 100.0 NaN
## Count 371.0 355.0 390.0 276.0 527.0 909.0 0
## COUNTRY
## T7.4 Tanzania Thailand Turkey_NON-REP UAE Uganda UK USA Zambia
## Yes 26.8 25.4 12.6 29.1 NaN 13.6 29 NaN
## No 73.2 74.6 87.4 70.9 NaN 86.4 71 NaN
## Total 100.0 100.0 100.0 100.0 NaN 100.0 100 NaN
## Count 272.0 374.0 95.0 237.0 0 700.0 414 0colPercents(xtabs(~T7.5+COUNTRY, data=wjsn))## COUNTRY
## T7.5 Albania Argentina Australia Austria Bangladesh Belgium Bhutan
## Yes 9.5 24.8 16.4 18.1 8.2 13.1 32.2
## No 90.5 75.2 83.6 81.9 91.8 86.9 67.8
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0
## Count 295.0 363.0 605.0 818.0 352.0 588.0 90.0
## COUNTRY
## T7.5 Botswana Brazil Bulgaria Cameroon Canada Chile China Colombia
## Yes 11.8 11.7 NaN NaN 2.4 14.5 21.3 31.8
## No 88.2 88.3 NaN NaN 97.6 85.5 78.7 68.2
## Total 100.0 100.0 NaN NaN 100.0 100.0 100.0 100.0
## Count 186.0 376.0 0 0 293.0 491.0 652.0 560.0
## COUNTRY
## T7.5 Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador
## Yes 19.2 27 15.8 13.5 36.6 10 28
## No 80.8 73 84.2 86.5 63.4 90 72
## Total 100.0 100 100.0 100.0 100.0 100 100
## Count 396.0 204 291.0 1357.0 372.0 400 250
## COUNTRY
## T7.5 Estonia Ethiopia Fiji Finland France_NON-REP Germany Greece
## Yes 10.7 56.6 NaN 12.8 8.9 18.7 8.5
## No 89.3 43.4 NaN 87.2 91.1 81.3 91.5
## Total 100.0 100.0 NaN 100.0 100.0 100.0 100.0
## Count 270.0 350.0 0 366.0 224.0 775.0 411.0
## COUNTRY
## T7.5 Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy
## Yes 22.5 6.9 4.3 6.6 10.4 17.3 18.5 14.9
## No 77.5 93.1 95.7 93.4 89.6 82.7 81.5 85.1
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
## Count 471.0 389.0 185.0 516.0 663.0 284.0 341.0 396.0
## COUNTRY
## T7.5 Japan Kenya Kosovo Latvia Malawi Malaysia Mexico Moldova
## Yes 0 26 14.6 10.6 76.9 6.8 43.2 13.6
## No 100 74 85.4 89.4 23.1 93.2 56.8 86.4
## Total 100 100 100.0 100.0 100.0 100.0 100.0 100.0
## Count 747 335 206.0 340.0 182.0 368.0 377.0 221.0
## COUNTRY
## T7.5 Netherlands New Zealand Norway Philippines Poland Portugal Oman
## Yes 6.7 16.5 9.9 5.2 NaN NaN 29.2
## No 93.3 83.5 90.1 94.8 NaN NaN 70.8
## Total 100.0 100.0 100.0 100.0 NaN NaN 100.0
## Count 522.0 539.0 608.0 349.0 0 0 257.0
## COUNTRY
## T7.5 Qatar Romania Russia Serbia Sierra Leone Singapore_NON-REP
## Yes 4.4 8.5 10.5 15.5 58.6 2.1
## No 95.6 91.5 89.5 84.5 41.4 97.9
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 412.0 341.0 390.0 407.0 222.0 95.0
## COUNTRY
## T7.5 South Africa South Korea Spain Sudan Sweden Switzerland Taiwan
## Yes 16.4 2 11.8 3.6 15.9 21.5 NaN
## No 83.6 98 88.2 96.4 84.1 78.5 NaN
## Total 100.0 100 100.0 100.0 100.0 100.0 NaN
## Count 371.0 355 390.0 276.0 527.0 909.0 0
## COUNTRY
## T7.5 Tanzania Thailand Turkey_NON-REP UAE Uganda UK USA Zambia
## Yes 18.8 39.6 1.1 3.4 NaN 12 6 NaN
## No 81.2 60.4 98.9 96.6 NaN 88 94 NaN
## Total 100.0 100.0 100.0 100.0 NaN 100 100 NaN
## Count 272.0 374.0 95.0 237.0 0 700 414 0colPercents(xtabs(~T7.6+COUNTRY, data=wjsn))## COUNTRY
## T7.6 Albania Argentina Australia Austria Bangladesh Belgium Bhutan
## Yes 4.7 13.8 1.2 3.4 8.2 1.4 0
## No 95.3 86.2 98.8 96.6 91.8 98.6 100
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100
## Count 295.0 363.0 605.0 818.0 352.0 588.0 90
## COUNTRY
## T7.6 Botswana Brazil Bulgaria Cameroon Canada Chile China Colombia
## Yes 12.4 2.1 NaN NaN 6.8 2.2 0 2
## No 87.6 97.9 NaN NaN 93.2 97.8 100 98
## Total 100.0 100.0 NaN NaN 100.0 100.0 100 100
## Count 186.0 376.0 0 0 293.0 491.0 652 560
## COUNTRY
## T7.6 Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador
## Yes 2.3 8.8 2.7 0.7 5.4 5.2 2
## No 97.7 91.2 97.3 99.3 94.6 94.8 98
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100
## Count 396.0 204.0 291.0 1357.0 372.0 400.0 250
## COUNTRY
## T7.6 Estonia Ethiopia Fiji Finland France_NON-REP Germany Greece
## Yes 2.2 7.1 NaN 2.7 2.2 5.2 6.3
## No 97.8 92.9 NaN 97.3 97.8 94.8 93.7
## Total 100.0 100.0 NaN 100.0 100.0 100.0 100.0
## Count 270.0 350.0 0 366.0 224.0 775.0 411.0
## COUNTRY
## T7.6 Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy
## Yes 0 0.3 0 3.5 2.4 1.8 0 6.1
## No 100 99.7 100 96.5 97.6 98.2 100 93.9
## Total 100 100.0 100 100.0 100.0 100.0 100 100.0
## Count 471 389.0 185 516.0 663.0 284.0 341 396.0
## COUNTRY
## T7.6 Japan Kenya Kosovo Latvia Malawi Malaysia Mexico Moldova
## Yes 1.7 6.6 11.2 5.6 4.4 4.6 0.5 7.7
## No 98.3 93.4 88.8 94.4 95.6 95.4 99.5 92.3
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
## Count 747.0 335.0 206.0 340.0 182.0 368.0 377.0 221.0
## COUNTRY
## T7.6 Netherlands New Zealand Norway Philippines Poland Portugal Oman
## Yes 4.6 0.6 2.3 0.9 NaN NaN 7
## No 95.4 99.4 97.7 99.1 NaN NaN 93
## Total 100.0 100.0 100.0 100.0 NaN NaN 100
## Count 522.0 539.0 608.0 349.0 0 0 257
## COUNTRY
## T7.6 Qatar Romania Russia Serbia Sierra Leone Singapore_NON-REP
## Yes 4.4 4.4 12.3 7.1 9 6.3
## No 95.6 95.6 87.7 92.9 91 93.7
## Total 100.0 100.0 100.0 100.0 100 100.0
## Count 412.0 341.0 390.0 407.0 222 95.0
## COUNTRY
## T7.6 South Africa South Korea Spain Sudan Sweden Switzerland Taiwan
## Yes 5.1 2.8 2.8 3.6 1.7 4.2 NaN
## No 94.9 97.2 97.2 96.4 98.3 95.8 NaN
## Total 100.0 100.0 100.0 100.0 100.0 100.0 NaN
## Count 371.0 355.0 390.0 276.0 527.0 909.0 0
## COUNTRY
## T7.6 Tanzania Thailand Turkey_NON-REP UAE Uganda UK USA Zambia
## Yes 1.1 6.7 13.7 5.5 NaN 5.7 4.1 NaN
## No 98.9 93.3 86.3 94.5 NaN 94.3 95.9 NaN
## Total 100.0 100.0 100.0 100.0 NaN 100.0 100.0 NaN
## Count 272.0 374.0 95.0 237.0 0 700.0 414.0 0colPercents(xtabs(~T7.7+COUNTRY, data=wjsn))## COUNTRY
## T7.7 Albania Argentina Australia Austria Bangladesh Belgium Bhutan
## Yes 7.5 10.7 3.1 7.2 5.1 2.9 0
## No 92.5 89.3 96.9 92.8 94.9 97.1 100
## Total 100.0 100.0 100.0 100.0 100.0 100.0 100
## Count 295.0 363.0 605.0 818.0 352.0 588.0 90
## COUNTRY
## T7.7 Botswana Brazil Bulgaria Cameroon Canada Chile China Colombia
## Yes 0 8.2 NaN NaN 4.1 6.1 0 5.5
## No 100 91.8 NaN NaN 95.9 93.9 100 94.5
## Total 100 100.0 NaN NaN 100.0 100.0 100 100.0
## Count 186 376.0 0 0 293.0 491.0 652 560.0
## COUNTRY
## T7.7 Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador
## Yes 12.6 5.9 4.8 7.8 12.1 0 22
## No 87.4 94.1 95.2 92.2 87.9 100 78
## Total 100.0 100.0 100.0 100.0 100.0 100 100
## Count 396.0 204.0 291.0 1357.0 372.0 400 250
## COUNTRY
## T7.7 Estonia Ethiopia Fiji Finland France_NON-REP Germany Greece
## Yes 7.8 0.3 NaN 0.5 7.1 5.8 13.4
## No 92.2 99.7 NaN 99.5 92.9 94.2 86.6
## Total 100.0 100.0 NaN 100.0 100.0 100.0 100.0
## Count 270.0 350.0 0 366.0 224.0 775.0 411.0
## COUNTRY
## T7.7 Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy
## Yes 0 17.7 3.2 1 14.6 8.5 16.7 5.3
## No 100 82.3 96.8 99 85.4 91.5 83.3 94.7
## Total 100 100.0 100.0 100 100.0 100.0 100.0 100.0
## Count 471 389.0 185.0 516 663.0 284.0 341.0 396.0
## COUNTRY
## T7.7 Japan Kenya Kosovo Latvia Malawi Malaysia Mexico Moldova
## Yes 0 1.5 24.3 13.8 2.2 5.7 3.7 10.9
## No 100 98.5 75.7 86.2 97.8 94.3 96.3 89.1
## Total 100 100.0 100.0 100.0 100.0 100.0 100.0 100.0
## Count 747 335.0 206.0 340.0 182.0 368.0 377.0 221.0
## COUNTRY
## T7.7 Netherlands New Zealand Norway Philippines Poland Portugal Oman
## Yes 29.3 4.3 2.5 12.6 NaN NaN 1.2
## No 70.7 95.7 97.5 87.4 NaN NaN 98.8
## Total 100.0 100.0 100.0 100.0 NaN NaN 100.0
## Count 522.0 539.0 608.0 349.0 0 0 257.0
## COUNTRY
## T7.7 Qatar Romania Russia Serbia Sierra Leone Singapore_NON-REP
## Yes 8.7 16.4 13.3 0.7 0.5 3.2
## No 91.3 83.6 86.7 99.3 99.5 96.8
## Total 100.0 100.0 100.0 100.0 100.0 100.0
## Count 412.0 341.0 390.0 407.0 222.0 95.0
## COUNTRY
## T7.7 South Africa South Korea Spain Sudan Sweden Switzerland Taiwan
## Yes 4.9 11.8 22.8 0 0 8.9 NaN
## No 95.1 88.2 77.2 100 100 91.1 NaN
## Total 100.0 100.0 100.0 100 100 100.0 NaN
## Count 371.0 355.0 390.0 276 527 909.0 0
## COUNTRY
## T7.7 Tanzania Thailand Turkey_NON-REP UAE Uganda UK USA Zambia
## Yes 0 4.5 9.5 0 NaN 29.2 1.7 NaN
## No 100 95.5 90.5 100 NaN 70.8 98.3 NaN
## Total 100 100.0 100.0 100 NaN 100.0 100.0 NaN
## Count 272 374.0 95.0 237 0 699.0 414.0 0colPercents(xtabs(~T7.8+COUNTRY, data=wjsn))## COUNTRY
## T7.8 Albania Argentina Australia Austria Bangladesh Belgium Bhutan
## Yes 0 1.9 0 19.1 0 6.5 5.6
## No 100 98.1 100 80.9 100 93.5 94.4
## Total 100 100.0 100 100.0 100 100.0 100.0
## Count 295 363.0 605 818.0 352 588.0 90.0
## COUNTRY
## T7.8 Botswana Brazil Bulgaria Cameroon Canada Chile China Colombia
## Yes 0 8.5 NaN NaN 0 1.8 7.1 0
## No 100 91.5 NaN NaN 100 98.2 92.9 100
## Total 100 100.0 NaN NaN 100 100.0 100.0 100
## Count 186 376.0 0 0 293 491.0 652.0 560
## COUNTRY
## T7.8 Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador
## Yes 5.1 73 6.5 8.8 5.1 0 22.8
## No 94.9 27 93.5 91.2 94.9 100 77.2
## Total 100.0 100 100.0 100.0 100.0 100 100.0
## Count 396.0 204 291.0 1357.0 372.0 400 250.0
## COUNTRY
## T7.8 Estonia Ethiopia Fiji Finland France_NON-REP Germany Greece
## Yes 1.1 0.9 NaN 3.8 4.5 20.9 3.6
## No 98.9 99.1 NaN 96.2 95.5 79.1 96.4
## Total 100.0 100.0 NaN 100.0 100.0 100.0 100.0
## Count 270.0 350.0 0 366.0 224.0 775.0 411.0
## COUNTRY
## T7.8 Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy
## Yes 0 4.9 13.5 2.7 1.7 6 4.4 6.6
## No 100 95.1 86.5 97.3 98.3 94 95.6 93.4
## Total 100 100.0 100.0 100.0 100.0 100 100.0 100.0
## Count 471 389.0 185.0 516.0 663.0 284 341.0 396.0
## COUNTRY
## T7.8 Japan Kenya Kosovo Latvia Malawi Malaysia Mexico Moldova
## Yes 0 0.6 1.5 17.1 1.1 0 1.1 6.8
## No 100 99.4 98.5 82.9 98.9 100 98.9 93.2
## Total 100 100.0 100.0 100.0 100.0 100 100.0 100.0
## Count 747 335.0 206.0 340.0 182.0 368 377.0 221.0
## COUNTRY
## T7.8 Netherlands New Zealand Norway Philippines Poland Portugal Oman
## Yes 18.2 85.9 3.3 16 NaN NaN 0.8
## No 81.8 14.1 96.7 84 NaN NaN 99.2
## Total 100.0 100.0 100.0 100 NaN NaN 100.0
## Count 522.0 539.0 608.0 349 0 0 257.0
## COUNTRY
## T7.8 Qatar Romania Russia Serbia Sierra Leone Singapore_NON-REP
## Yes 0 6.2 11.5 8.1 0.5 4.2
## No 100 93.8 88.5 91.9 99.5 95.8
## Total 100 100.0 100.0 100.0 100.0 100.0
## Count 412 341.0 390.0 407.0 219.0 95.0
## COUNTRY
## T7.8 South Africa South Korea Spain Sudan Sweden Switzerland Taiwan
## Yes 1.9 1.4 0 0 0 20 NaN
## No 98.1 98.6 100 100 100 80 NaN
## Total 100.0 100.0 100 100 100 100 NaN
## Count 371.0 355.0 390 276 527 909 0
## COUNTRY
## T7.8 Tanzania Thailand Turkey_NON-REP UAE Uganda UK USA Zambia
## Yes 12.1 1.6 0 0 NaN 29.5 0 NaN
## No 87.9 98.4 100 100 NaN 70.5 100 NaN
## Total 100.0 100.0 100 100 NaN 100.0 100 NaN
## Count 272.0 374.0 95 237 0 699.0 414 0#Reach of medium#
colPercents(xtabs(~T8+COUNTRY, data=wjsn))## COUNTRY
## T8 Albania Argentina Australia Austria Bangladesh Belgium
## Local 24.4 30.8 27.3 2.1 10.0 12.9
## Regional 13.6 25.8 48.1 36.2 29.9 12.8
## National 54.2 39.2 21.2 60.9 47.6 70.6
## Transnational 7.8 4.2 3.5 0.9 12.5 3.7
## Total 100.0 100.0 100.1 100.1 100.0 100.0
## Count 295.0 360.0 605.0 818.0 351.0 588.0
## COUNTRY
## T8 Bhutan Botswana Brazil Bulgaria Cameroon Canada Chile
## Local 0.0 3.8 10.4 NaN NaN 9.9 1.0
## Regional 5.6 4.8 45.7 NaN NaN 37.5 23.0
## National 90.0 91.4 35.4 NaN NaN 47.1 67.6
## Transnational 4.4 0.0 8.5 NaN NaN 5.5 8.4
## Total 100.0 100.0 100.0 NaN NaN 100.0 100.0
## Count 90.0 186.0 376.0 0 0 293.0 491.0
## COUNTRY
## T8 China Colombia Croatia Cyprus Czech Republic Denmark
## Local 23.8 14.8 8.5 6.9 35.7 10.1
## Regional 69.8 34.1 27.4 0.0 29.2 19.7
## National 6.4 32.0 59.2 86.8 34.7 69.8
## Transnational 0.0 19.1 5.0 6.4 0.3 0.4
## Total 100.0 100.0 100.1 100.1 99.9 100.0
## Count 652.0 560.0 201.0 204.0 291.0 1329.0
## COUNTRY
## T8 Ecuador Egypt El Salvador Estonia Ethiopia Fiji Finland
## Local 34.9 7.2 7.6 1.1 24.6 NaN 13.1
## Regional 15.1 42.5 11.6 22.5 12.9 NaN 27.3
## National 41.4 37.5 34.8 67.2 62.0 NaN 57.4
## Transnational 8.6 12.8 46.0 9.2 0.6 NaN 2.2
## Total 100.0 100.0 100.0 100.0 100.1 NaN 100.0
## Count 372.0 400.0 250.0 271.0 350.0 0 366.0
## COUNTRY
## T8 France_NON-REP Germany Greece Hong Kong Hungary Iceland
## Local 9.9 27.5 12.2 100 11.1 2.1
## Regional 52.0 41.5 20.2 0 15.2 6.4
## National 30.0 31.0 49.6 0 67.4 91.4
## Transnational 8.1 0.0 18.0 0 6.4 0.0
## Total 100.0 100.0 100.0 100 100.1 99.9
## Count 223.0 723.0 411.0 471 389.0 187.0
## COUNTRY
## T8 India Indonesia Ireland Israel Italy Japan Kenya Kosovo
## Local 0.0 0.2 7.5 9.7 15.2 61.3 6.0 0.0
## Regional 88.2 59.7 11.1 19.1 29.3 1.9 13.5 15.5
## National 9.7 38.8 79.6 66.0 53.5 36.8 71.6 64.6
## Transnational 2.1 1.4 1.8 5.3 2.0 0.0 9.0 19.9
## Total 100.0 100.1 100.0 100.1 100.0 100.0 100.1 100.0
## Count 527.0 660.0 226.0 341.0 396.0 744.0 334.0 206.0
## COUNTRY
## T8 Latvia Malawi Malaysia Mexico Moldova Netherlands
## Local 7.4 26.9 43.8 64.2 4.1 11.2
## Regional 21.5 7.1 0.0 17.0 32.6 14.0
## National 64.1 54.4 50.8 8.5 61.1 66.3
## Transnational 7.1 11.5 5.4 10.3 2.3 8.5
## Total 100.1 99.9 100.0 100.0 100.1 100.0
## Count 340.0 182.0 368.0 377.0 221.0 507.0
## COUNTRY
## T8 New Zealand Norway Philippines Poland Portugal Oman Qatar
## Local 13.7 26.8 4.0 NaN NaN 0.0 34.2
## Regional 24.1 22.5 14.4 NaN NaN 9.7 6.3
## National 58.8 46.3 59.7 NaN NaN 90.3 4.4
## Transnational 3.3 4.5 21.9 NaN NaN 0.0 55.1
## Total 99.9 100.1 100.0 NaN NaN 100.0 100.0
## Count 539.0 512.0 347.0 0 0 257.0 412.0
## COUNTRY
## T8 Romania Russia Serbia Sierra Leone Singapore_NON-REP
## Local 16.4 16.7 21.9 19.8 9.5
## Regional 13.5 23.3 13.5 24.2 2.1
## National 70.1 44.4 63.9 49.3 78.9
## Transnational 0.0 15.6 0.7 6.8 9.5
## Total 100.0 100.0 100.0 100.1 100.0
## Count 341.0 390.0 407.0 207.0 95.0
## COUNTRY
## T8 South Africa South Korea Spain Sudan Sweden Switzerland
## Local 20.7 1.1 7.9 72.4 27.4 15.6
## Regional 20.7 29.3 67.9 4.0 32.2 42.8
## National 40.9 69.6 24.1 8.0 39.0 37.4
## Transnational 17.7 0.0 0.0 15.6 1.4 4.2
## Total 100.0 100.0 99.9 100.0 100.0 100.0
## Count 367.0 355.0 390.0 275.0 636.0 872.0
## COUNTRY
## T8 Taiwan Tanzania Thailand Turkey_NON-REP UAE Uganda UK
## Local NaN 11.4 44.4 0.0 0.0 NaN 7.3
## Regional NaN 28.7 11.8 6.3 0.0 NaN 14.3
## National NaN 53.7 37.4 93.7 63.3 NaN 42.3
## Transnational NaN 6.2 6.4 0.0 36.7 NaN 36.1
## Total NaN 100.0 100.0 100.0 100.0 NaN 100.0
## Count 0 272.0 374.0 95.0 237.0 0 700.0
## COUNTRY
## T8 USA Zambia
## Local 87.0 NaN
## Regional 5.6 NaN
## National 7.5 NaN
## Transnational 0.0 NaN
## Total 100.1 NaN
## Count 414.0 0#Ownership of medium#
colPercents(xtabs(~T9+COUNTRY, data=wjsn))## COUNTRY
## T9 Albania Argentina Australia
## Purely private ownership 87.1 76.9 88.8
## Purely public ownership 5.4 11.4 11.2
## Purely state ownership 3.7 9.7 0.0
## Mixed ownership but mostly private 0.0 0.0 0.0
## Mixed ownership but mostly public 3.7 0.3 0.0
## Mixed ownership but mostly state-owned 0.0 1.7 0.0
## Total 99.9 100.0 100.0
## Count 295.0 359.0 605.0
## COUNTRY
## T9 Austria Bangladesh Belgium Bhutan
## Purely private ownership 74.7 88.6 70.9 21.1
## Purely public ownership 22.1 0.0 20.8 5.6
## Purely state ownership 0.0 11.4 0.9 46.7
## Mixed ownership but mostly private 0.0 0.0 1.5 1.1
## Mixed ownership but mostly public 3.2 0.0 4.4 2.2
## Mixed ownership but mostly state-owned 0.0 0.0 1.5 23.3
## Total 100.0 100.0 100.0 100.0
## Count 818.0 343.0 587.0 90.0
## COUNTRY
## T9 Botswana Brazil Bulgaria Cameroon
## Purely private ownership 61.8 83.8 NaN NaN
## Purely public ownership 0.0 8.9 NaN NaN
## Purely state ownership 38.2 4.6 NaN NaN
## Mixed ownership but mostly private 0.0 1.1 NaN NaN
## Mixed ownership but mostly public 0.0 0.8 NaN NaN
## Mixed ownership but mostly state-owned 0.0 0.8 NaN NaN
## Total 100.0 100.0 NaN NaN
## Count 186.0 371.0 0 0
## COUNTRY
## T9 Canada Chile China Colombia
## Purely private ownership 87.7 100 0 84.3
## Purely public ownership 8.2 0 0 15.0
## Purely state ownership 4.1 0 100 0.7
## Mixed ownership but mostly private 0.0 0 0 0.0
## Mixed ownership but mostly public 0.0 0 0 0.0
## Mixed ownership but mostly state-owned 0.0 0 0 0.0
## Total 100.0 100 100 100.0
## Count 293.0 491 652 560.0
## COUNTRY
## T9 Croatia Cyprus Czech Republic
## Purely private ownership 48.0 76 76.9
## Purely public ownership 46.0 24 23.1
## Purely state ownership 1.5 0 0.0
## Mixed ownership but mostly private 3.5 0 0.0
## Mixed ownership but mostly public 1.0 0 0.0
## Mixed ownership but mostly state-owned 0.0 0 0.0
## Total 100.0 100 100.0
## Count 200.0 204 290.0
## COUNTRY
## T9 Denmark Ecuador Egypt El Salvador
## Purely private ownership 66.4 68.0 30 91.6
## Purely public ownership 27.0 28.8 0 1.2
## Purely state ownership 0.0 0.8 60 7.2
## Mixed ownership but mostly private 3.0 0.5 10 0.0
## Mixed ownership but mostly public 3.6 1.1 0 0.0
## Mixed ownership but mostly state-owned 0.0 0.8 0 0.0
## Total 100.0 100.0 100 100.0
## Count 1274.0 372.0 400 250.0
## COUNTRY
## T9 Estonia Ethiopia Fiji Finland
## Purely private ownership 73.3 20.1 NaN 76.5
## Purely public ownership 24.4 0.0 NaN 10.1
## Purely state ownership 2.2 79.9 NaN 5.9
## Mixed ownership but mostly private 0.0 0.0 NaN 3.4
## Mixed ownership but mostly public 0.0 0.0 NaN 1.7
## Mixed ownership but mostly state-owned 0.0 0.0 NaN 2.5
## Total 99.9 100.0 NaN 100.1
## Count 270.0 349.0 0 358.0
## COUNTRY
## T9 France_NON-REP Germany Greece
## Purely private ownership 76.3 82.2 90.2
## Purely public ownership 16.4 17.8 8.8
## Purely state ownership 0.0 0.0 0.2
## Mixed ownership but mostly private 1.4 0.0 0.8
## Mixed ownership but mostly public 5.9 0.0 0.0
## Mixed ownership but mostly state-owned 0.0 0.0 0.0
## Total 100.0 100.0 100.0
## Count 219.0 752.0 400.0
## COUNTRY
## T9 Hong Kong Hungary Iceland India
## Purely private ownership 77.7 66.8 75.4 90.7
## Purely public ownership 17.4 9.6 24.6 0.0
## Purely state ownership 0.0 9.3 0.0 9.3
## Mixed ownership but mostly private 0.0 10.9 0.0 0.0
## Mixed ownership but mostly public 0.0 2.6 0.0 0.0
## Mixed ownership but mostly state-owned 4.9 1.0 0.0 0.0
## Total 100.0 100.2 100.0 100.0
## Count 471.0 313.0 187.0 527.0
## COUNTRY
## T9 Indonesia Ireland Israel Italy
## Purely private ownership 90.8 61.8 81.5 84.8
## Purely public ownership 0.0 19.6 5.8 13.4
## Purely state ownership 9.2 17.3 11.5 0.0
## Mixed ownership but mostly private 0.0 0.9 0.6 1.0
## Mixed ownership but mostly public 0.0 0.4 0.6 0.8
## Mixed ownership but mostly state-owned 0.0 0.0 0.0 0.0
## Total 100.0 100.0 100.0 100.0
## Count 660.0 225.0 330.0 396.0
## COUNTRY
## T9 Japan Kenya Kosovo Latvia Malawi
## Purely private ownership 81.3 79.3 77.7 73.8 63.7
## Purely public ownership 18.7 0.3 17.8 21.8 1.1
## Purely state ownership 0.0 20.4 2.5 0.9 18.7
## Mixed ownership but mostly private 0.0 0.0 1.0 1.8 12.1
## Mixed ownership but mostly public 0.0 0.0 1.0 0.9 4.4
## Mixed ownership but mostly state-owned 0.0 0.0 0.0 0.9 0.0
## Total 100.0 100.0 100.0 100.1 100.0
## Count 744.0 333.0 197.0 340.0 182.0
## COUNTRY
## T9 Malaysia Mexico Moldova
## Purely private ownership 74.5 90.9 89.6
## Purely public ownership 3.0 0.0 6.8
## Purely state ownership 14.1 9.1 3.6
## Mixed ownership but mostly private 0.0 0.0 0.0
## Mixed ownership but mostly public 0.8 0.0 0.0
## Mixed ownership but mostly state-owned 7.6 0.0 0.0
## Total 100.0 100.0 100.0
## Count 368.0 363.0 221.0
## COUNTRY
## T9 Netherlands New Zealand Norway
## Purely private ownership 77.0 84.0 81.3
## Purely public ownership 9.3 15.8 0.0
## Purely state ownership 0.0 0.0 18.7
## Mixed ownership but mostly private 7.3 0.0 0.0
## Mixed ownership but mostly public 6.4 0.2 0.0
## Mixed ownership but mostly state-owned 0.0 0.0 0.0
## Total 100.0 100.0 100.0
## Count 518.0 539.0 616.0
## COUNTRY
## T9 Philippines Poland Portugal Oman
## Purely private ownership 33.1 NaN NaN 21.8
## Purely public ownership 26.2 NaN NaN 0.0
## Purely state ownership 1.2 NaN NaN 70.0
## Mixed ownership but mostly private 35.4 NaN NaN 0.0
## Mixed ownership but mostly public 4.0 NaN NaN 0.0
## Mixed ownership but mostly state-owned 0.0 NaN NaN 8.2
## Total 99.9 NaN NaN 100.0
## Count 347.0 0 0 257.0
## COUNTRY
## T9 Qatar Romania Russia Serbia
## Purely private ownership 0.0 91.2 54.2 65.8
## Purely public ownership 0.0 8.8 2.3 24.1
## Purely state ownership 13.3 0.0 29.6 2.9
## Mixed ownership but mostly private 86.7 0.0 6.7 0.0
## Mixed ownership but mostly public 0.0 0.0 0.5 0.0
## Mixed ownership but mostly state-owned 0.0 0.0 6.7 7.1
## Total 100.0 100.0 100.0 99.9
## Count 412.0 341.0 389.0 407.0
## COUNTRY
## T9 Sierra Leone Singapore_NON-REP
## Purely private ownership 70.8 4.6
## Purely public ownership 20.1 6.9
## Purely state ownership 0.0 8.0
## Mixed ownership but mostly private 1.9 74.7
## Mixed ownership but mostly public 5.3 4.6
## Mixed ownership but mostly state-owned 1.9 1.1
## Total 100.0 99.9
## Count 209.0 87.0
## COUNTRY
## T9 South Africa South Korea Spain
## Purely private ownership 57.1 61.1 84.4
## Purely public ownership 14.1 32.4 12.6
## Purely state ownership 4.0 0.3 1.5
## Mixed ownership but mostly private 14.7 3.1 0.8
## Mixed ownership but mostly public 8.0 3.1 0.8
## Mixed ownership but mostly state-owned 2.1 0.0 0.0
## Total 100.0 100.0 100.1
## Count 326.0 355.0 390.0
## COUNTRY
## T9 Sudan Sweden Switzerland Taiwan
## Purely private ownership 78.5 43.4 77.9 NaN
## Purely public ownership 0.4 17.6 22.1 NaN
## Purely state ownership 10.5 4.8 0.0 NaN
## Mixed ownership but mostly private 6.5 28.5 0.0 NaN
## Mixed ownership but mostly public 0.4 4.8 0.0 NaN
## Mixed ownership but mostly state-owned 3.6 1.0 0.0 NaN
## Total 99.9 100.1 100.0 NaN
## Count 275.0 625.0 872.0 0
## COUNTRY
## T9 Tanzania Thailand Turkey_NON-REP
## Purely private ownership 20.6 54.3 87.4
## Purely public ownership 2.6 10.2 0.0
## Purely state ownership 21.0 16.4 0.0
## Mixed ownership but mostly private 36.8 9.4 0.0
## Mixed ownership but mostly public 17.6 7.0 12.6
## Mixed ownership but mostly state-owned 1.5 2.7 0.0
## Total 100.1 100.0 100.0
## Count 272.0 372.0 95.0
## COUNTRY
## T9 UAE Uganda UK USA Zambia
## Purely private ownership 32.5 NaN 89.9 96.1 NaN
## Purely public ownership 0.0 NaN 9.6 3.9 NaN
## Purely state ownership 67.5 NaN 0.0 0.0 NaN
## Mixed ownership but mostly private 0.0 NaN 0.6 0.0 NaN
## Mixed ownership but mostly public 0.0 NaN 0.0 0.0 NaN
## Mixed ownership but mostly state-owned 0.0 NaN 0.0 0.0 NaN
## Total 100.0 NaN 100.1 100.0 NaN
## Count 237.0 0 700.0 414.0 0```