1 Data Quality Checks


We only included participants with a gc score of 1. Those with a gc value equal to 1 designate the Good Completes on the filter supplied by Qualtrics.

That is currently 41 participants.

gc n
85
1 41

We will filter out all except the good completes so our final sample is and also the first response which was a test by the qualtrics team they forgot to remove, leaving us with 40 participants.

data <-  data %>%filter(gc == "1")


data <- data[2:41,]

pander(data %>% group_by(gc) %>% tally())
gc n
1 40

1.1 Timing

Median completion timing:

## [1] "5M 25S"

Mean completion timing:

## [1] "5M 32.72S"


1.2 Vaccination status

##  data$VaxStatus  n percent
##               1 11   27.5%
##               2  4   10.0%
##               3 11   27.5%
##               4  6   15.0%
##               5  3    7.5%
##               6  5   12.5%
##           Total 40  100.0%
##                           data$VaxStatus_Fct  n percent
##              Not received a COVID-19 vaccine 11   27.5%
##                 One dose (Pfizer or Moderna)  4   10.0%
##                Two doses (Pfizer or Moderna) 11   27.5%
##  Two doses AND a booster (Pfizer or Moderna)  6   15.0%
##                               One dose (J&J)  3    7.5%
##                 One dose AND a booster (J&J)  5   12.5%
##                                        Total 40  100.0%
##  data$VaxStatus_1  n percent
##    Not vaccinated 11   27.5%
##        Vaccinated 29   72.5%
##             Total 40  100.0%

1.3 Prior covid infection

##  data$HadCoV  n percent
##            1 24   60.0%
##            2 13   32.5%
##            3  3    7.5%
##        Total 40  100.0%
##                           data$HadCoV_Fct  n percent
##  No: Pretty sure/certain not had COVID-19 24   60.0%
##     Yes: Pretty sure/certain had COVID-19 13   32.5%
##                                  Not sure  3    7.5%
##                                     Total 40  100.0%

1.4 Checking Quotas

We asked for:

  • 500 respondents who have had COVID-19
  • 500 subjects who have NOT had covid and who have been vaccinated
  • 500 subjects who have NOT had covid and who have NOT been vaccinated
HadCoV_Fct VaxStatus_1 count
Not sure Not vaccinated 1
Not sure Vaccinated 2
Yes: Pretty sure/certain had COVID-19 Not vaccinated 3
Yes: Pretty sure/certain had COVID-19 Vaccinated 10
No: Pretty sure/certain not had COVID-19 Not vaccinated 7
No: Pretty sure/certain not had COVID-19 Vaccinated 17

Essentially, the bottom two rows should have 500 in each and then the middle two rows should have 500 combined.


2 Vaccine and infection qs


2.1 HadCoV_how

##  HadCoV_How  n percent
##             27   67.5%
##           1 12   30.0%
##           3  1    2.5%
##       Total 40  100.0%
##                                  HadCoV_How_Fct  n percent valid_percent
##                          Positive COVID-19 test 12   30.0%         92.3%
##                 No test but told by HC provider  0    0.0%          0.0%
##  No test but assumed based on symptoms/exposure  1    2.5%          7.7%
##                                           1 + 2  0    0.0%          0.0%
##                                           1 + 3  0    0.0%          0.0%
##                                           2 + 3  0    0.0%          0.0%
##                                       1 + 2 + 3  0    0.0%          0.0%
##                                            <NA> 27   67.5%             -
##                                           Total 40  100.0%        100.0%


2.2 Booster intentions

Only shown to those who had 2 doses (M/P) or 1 (J&J) with no booster yet.

##  VaxBoost  n percent
##           27   67.5%
##         1  6   15.0%
##         2  2    5.0%
##         3  5   12.5%
##     Total 40  100.0%
##                          VaxBoost_Fct  n percent valid_percent
##       I will definitely get a booster  6   15.0%         46.2%
##         I will probably get a booster  2    5.0%         15.4%
##  I don’t know if I will get a booster  5   12.5%         38.5%
##     I will probably not get a booster  0    0.0%          0.0%
##   I will definitely not get a booster  0    0.0%          0.0%
##                                  <NA> 27   67.5%             -
##                                 Total 40  100.0%        100.0%

vars n mean sd median trimmed mad min max range skew kurtosis se
Booster intentions 1 13 1.923077 0.9540736 2 1.909091 1.4826 1 3 2 0.135221 -1.97121 0.2646124

2.3 Vaccine intentions

Only shown to those who had 0 doses.

##  VaxIntent  n percent
##            29   72.5%
##          1  8   20.0%
##          2  2    5.0%
##          3  1    2.5%
##      Total 40  100.0%
##                      VaxIntent_Fct  n percent valid_percent
##  Will definitely not get a vaccine  8   20.0%         72.7%
##    Will probably not get a vaccine  2    5.0%         18.2%
##                       I don't know  1    2.5%          9.1%
##        Will probably get a vaccine  0    0.0%          0.0%
##      Will definitely get a vaccine  0    0.0%          0.0%
##                               <NA> 29   72.5%             -
##                              Total 40  100.0%        100.0%

vars n mean sd median trimmed mad min max range skew kurtosis se
Vaccine intentions 1 11 1.363636 0.6741999 1 1.222222 0 1 3 2 1.338593 0.3606612 0.2032789

2.4 VaccinexInfection timeline

Only shown to those who had covid and been vaccinated ≥1 dose.

##  WhenHadCoV  n percent
##             30   75.0%
##           1  5   12.5%
##           2  3    7.5%
##           3  2    5.0%
##       Total 40  100.0%
##                                  WhenHadCoV_Fct  n percent valid_percent
##                 Before I got a COVID-19 vaccine  5   12.5%         50.0%
##                  After I got a COVID-19 vaccine  3    7.5%         30.0%
##  Both before and after I got a COVID-19 vaccine  2    5.0%         20.0%
##                                            <NA> 30   75.0%             -
##                                           Total 40  100.0%        100.0%
HadCoV_Chr VaxStatus_1 n percent
Yes: Pretty sure/certain had COVID-19 Not vaccinated 3 23.1%
Yes: Pretty sure/certain had COVID-19 Vaccinated 10 76.9%


2.5 Vaccine Benefit/Safety

Important: remember that means have been calculated after removing those who answer “unsure”

As far as you know what is the benefit of a COVID-19 vaccine to a person who has…

vars n mean sd median trimmed mad min max range skew kurtosis se
Had CV19 1 38 2.710526 1.088214 3 2.750000 1.4826 1 4 3 -0.2864571 -1.264924 0.1765317
Not had CV19 2 36 2.722222 1.209749 3 2.766667 1.4826 1 4 3 -0.2281772 -1.574510 0.2016248

As far as you know how safe is a COVID-19 vaccine for a person who has

vars n mean sd median trimmed mad min max range skew kurtosis se
Had CV19 1 35 2.971429 1.097744 3 3.068966 1.4826 1 4 3 -0.7232849 -0.8559091 0.1855526
Not had CV19 2 37 3.000000 1.080123 3 3.096774 1.4826 1 4 3 -0.7721125 -0.7363486 0.1775712


3 Lies



3.1 General

##                  measurement                       
##        condition          No        Yes       Total
##  GenLie_Disagree  29 (72.5%) 11 (27.5%) 40 (100.0%)
##      GenLie_Exer  32 (80.0%)  8 (20.0%) 40 (100.0%)
##    GenLie_Depres  30 (75.0%) 10 (25.0%) 40 (100.0%)
##      GenLie_Drug  34 (85.0%)  6 (15.0%) 40 (100.0%)

3.2 CoV Symptoms


3.3 Screening/inperson


3.4 Precautions


3.5 Vaccination


3.6 Testing


3.7 Quarantine

##                      measurement                       
##            condition          No        Yes       Total
##              CoVSymp 28  (70.0%) 12 (30.0%) 40 (100.0%)
##   CoVLie_PrvdrScreen 14  (73.7%)  5 (26.3%) 19 (100.0%)
##  CoVLie_PublicScreen 14  (73.7%)  5 (26.3%) 19 (100.0%)
##      CoVLie_InPerson 14  (73.7%)  5 (26.3%) 19 (100.0%)
##        CoVLie_Precau 30  (75.0%) 10 (25.0%) 40 (100.0%)
##        CoVLie_HadVax  9  (81.8%)  2 (18.2%) 11 (100.0%)
##         CoVLie_Exmpt 11 (100.0%)  0  (0.0%) 11 (100.0%)
##         CoVLie_NoVax 23  (79.3%)  6 (20.7%) 29 (100.0%)
##        CoVLie_Tested  8  (66.7%)  4 (33.3%) 12 (100.0%)
##         AskedToQteen 25  (62.5%) 15 (37.5%) 40 (100.0%)
##         CoVLie_Qteen 12  (80.0%)  3 (20.0%) 15 (100.0%)
##         CoVBrk_Qteen 11  (73.3%)  4 (26.7%) 15 (100.0%)

4 Children



4.1 Parent/step-parent


4.2 Child and CoV


5 Lies (Child)



5.1 Inperson/testing


5.2 Quarantine


5.3 Vaccination

##                measurement                       
##      condition          No        Yes       Total
##       ChildU18  27 (67.5%) 13 (32.5%) 40 (100.0%)
##  ChildU18Lived   5 (38.5%)  8 (61.5%) 13 (100.0%)
##   ChildCoVSymp   6 (75.0%)  2 (25.0%)  8 (100.0%)
##             measurement                               
##   condition    No[none]   Yes[≥1]  Yes[all]      Total
##  HadCoV_kid   6 (75.0%) 1 (12.5%) 1 (12.5%) 8 (100.0%)
##                      measurement                     
##            condition          No       Yes      Total
##  CoVLie_InPerson_kid  2 (100.0%) 0  (0.0%) 2 (100.0%)
##    CoVLie_Tested_kid  2 (100.0%) 0  (0.0%) 2 (100.0%)
##     AskedToQteen_kid  6  (75.0%) 2 (25.0%) 8 (100.0%)
##     CoVLie_Qteen_kid  2 (100.0%) 0  (0.0%) 2 (100.0%)
##     CoVBrk_Qteen_kid  1  (50.0%) 1 (50.0%) 2 (100.0%)
##        CoVLie_kidAge  6  (75.0%) 2 (25.0%) 8 (100.0%)
##       CoVLie_kidLook  6 (100.0%) 0  (0.0%) 6 (100.0%)
##             measurement                                                  
##   condition    No[none] No[not old enough]  Yes[all] Yes[some]      Total
##  ChildVaxed   2 (25.0%)          2 (25.0%) 3 (37.5%) 1 (12.5%) 8 (100.0%)
##                    measurement                     
##          condition          No       Yes      Total
##  CoVLie_HadVax_kid   4 (80.0%) 1 (20.0%) 5 (100.0%)
##   CoVLie_NoVax_kid   3 (75.0%) 1 (25.0%) 4 (100.0%)

6 Lie reasons


Remember I need to replace row labels

Provider screen
  measurement    
condition No Yes Total
CoVLie_Prvdr_rzn_1 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_Prvdr_rzn_2 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_Prvdr_rzn_3 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_Prvdr_rzn_4 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_Prvdr_rzn_5 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_Prvdr_rzn_6 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_Prvdr_rzn_7 1 (20.0%) 4 (80.0%) 5 (100.0%)
CoVLie_Prvdr_rzn_8 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_Prvdr_rzn_9 1 (20.0%) 4 (80.0%) 5 (100.0%)
CoVLie_Prvdr_rzn_10 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_Prvdr_rzn_11 1 (25.0%) 3 (75.0%) 4 (100.0%)
CoVLie_Prvdr_rzn_12 1 (20.0%) 4 (80.0%) 5 (100.0%)
CoVLie_Prvdr_rzn_13 1 (20.0%) 4 (80.0%) 5 (100.0%)

Reasons for feeling judged

## [1] "None"                                                                                           
## [2] "might judge or think badly of you. Why did you think someone would judge or think badly of you?"
## [3] "Because there’s such false information out there"

Any other reasons?

## [1] "None"                                                                                                                                          
## [2] "My reasons are why did not mention that about the covid-19 when being screened tents are Healthcare Providers office that I was covid positive"
## [3] "Nope"                                                                                                                                          
## [4] "None"                                                                                                                                          
## [5] "just did not feel sick"
Public screen
  measurement    
condition No Yes Total
CoVLie_Public_rzn_1 3 (60.0%) 2 (40.0%) 5 (100.0%)
CoVLie_Public_rzn_2 1 (20.0%) 4 (80.0%) 5 (100.0%)
CoVLie_Public_rzn_3 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVLie_Public_rzn_4 3 (60.0%) 2 (40.0%) 5 (100.0%)
CoVLie_Public_rzn_5 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_Public_rzn_6 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_Public_rzn_7 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_Public_rzn_8 3 (60.0%) 2 (40.0%) 5 (100.0%)
CoVLie_Public_rzn_9 4 (80.0%) 1 (20.0%) 5 (100.0%)
CoVLie_Public_rzn_10 1 (20.0%) 4 (80.0%) 5 (100.0%)
CoVLie_Public_rzn_11 1 (25.0%) 3 (75.0%) 4 (100.0%)
CoVLie_Public_rzn_12 1 (20.0%) 4 (80.0%) 5 (100.0%)

Reasons for feeling judged

## [1] "might judge or think badly of you. Why did you think someone would judge or think badly of you?covid I said hi and that I was"
## [2] "Nope"

Any other reasons?

## [1] "Jjjhh"                                                                                          
## [2] "might judge or think badly of you. Why did you think someone would judge or think badly of you?"
## [3] "Nope"                                                                                           
## [4] "None"                                                                                           
## [5] "Not sure of if I have a comment here."
Inperson
  measurement    
condition No Yes Total
CoVLie_inPers_rzn_1 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_inPers_rzn_2 3 (60.0%) 2 (40.0%) 5 (100.0%)
CoVLie_inPers_rzn_3 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_inPers_rzn_4 3 (60.0%) 2 (40.0%) 5 (100.0%)
CoVLie_inPers_rzn_5 5 (100.0%) 0 (0.0%) 5 (100.0%)
CoVLie_inPers_rzn_6 3 (60.0%) 2 (40.0%) 5 (100.0%)
CoVLie_inPers_rzn_7 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_inPers_rzn_8 1 (20.0%) 4 (80.0%) 5 (100.0%)
CoVLie_inPers_rzn_9 4 (80.0%) 1 (20.0%) 5 (100.0%)
CoVLie_inPers_rzn_10 3 (60.0%) 2 (40.0%) 5 (100.0%)
CoVLie_inPers_rzn_11 3 (60.0%) 2 (40.0%) 5 (100.0%)
CoVLie_inPers_rzn_12 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_inPers_rzn_13 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_inPers_rzn_14 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_inPers_rzn_15 3 (60.0%) 2 (40.0%) 5 (100.0%)
CoVLie_inPers_rzn_16 2 (40.0%) 3 (60.0%) 5 (100.0%)
CoVLie_inPers_rzn_17 2 (40.0%) 3 (60.0%) 5 (100.0%)

Reasons for feeling judged

## [1] "Na"                                                                                                                                         
## [2] "might judge or think badly of you. Why did you think someone would judge or think badly of you? How did you see that in the office for 3333"
## [3] "No it’s ok"

Any other reasons?

## [1] "Na"                                                                                             
## [2] "might judge or think badly of you. Why did you think someone would judge or think badly of you?"
## [3] "No not really"                                                                                  
## [4] "Na"                                                                                             
## [5] "just seem like it was not"
Precautions
  measurement    
condition No Yes Total
CoVLie_Precau_rzn_1 6 (60.0%) 4 (40.0%) 10 (100.0%)
CoVLie_Precau_rzn_2 5 (50.0%) 5 (50.0%) 10 (100.0%)
CoVLie_Precau_rzn_3 6 (60.0%) 4 (40.0%) 10 (100.0%)
CoVLie_Precau_rzn_4 7 (70.0%) 3 (30.0%) 10 (100.0%)
CoVLie_Precau_rzn_5 5 (50.0%) 5 (50.0%) 10 (100.0%)
CoVLie_Precau_rzn_6 6 (60.0%) 4 (40.0%) 10 (100.0%)
CoVLie_Precau_rzn_7 5 (50.0%) 5 (50.0%) 10 (100.0%)
CoVLie_Precau_rzn_8 6 (60.0%) 4 (40.0%) 10 (100.0%)
CoVLie_Precau_rzn_9 7 (70.0%) 3 (30.0%) 10 (100.0%)
CoVLie_Precau_rzn_10 4 (40.0%) 6 (60.0%) 10 (100.0%)
CoVLie_Precau_rzn_11 5 (50.0%) 5 (50.0%) 10 (100.0%)
CoVLie_Precau_rzn_12 7 (70.0%) 3 (30.0%) 10 (100.0%)
CoVLie_Precau_rzn_13 5 (50.0%) 5 (50.0%) 10 (100.0%)
CoVLie_Precau_rzn_14 6 (60.0%) 4 (40.0%) 10 (100.0%)

Reasons for feeling judged

## [1] "YouTube"                                                                                                                               
## [2] "Na"                                                                                                                                    
## [3] "might judge or think badly of you. Why did you think someone would judge or think badly of you? Hopefully they can be a part of it was"
## [4] "Nope"

Any other reasons?

## [1] "Iuuu"                                                                                                                     
## [2] "YouTube"                                                                                                                  
## [3] "None at all"                                                                                                              
## [4] "No"                                                                                                                       
## [5] "Na"                                                                                                                       
## [6] "might judge or think badly of you. Why did you think someone would judge or think badly of you? Hotel and I am not a good"
## [7] "No not really"                                                                                                            
## [8] "None"                                                                                                                     
## [9] "nothing"
Had vax when unvaxxed
  measurement    
condition No Yes Total
CoVLie_HadVax_rzn_1 2 (100.0%) 0 (0.0%) 2 (100.0%)
CoVLie_HadVax_rzn_2 1 (50.0%) 1 (50.0%) 2 (100.0%)
CoVLie_HadVax_rzn_3 1 (50.0%) 1 (50.0%) 2 (100.0%)
CoVLie_HadVax_rzn_4 2 (100.0%) 0 (0.0%) 2 (100.0%)
CoVLie_HadVax_rzn_5 1 (50.0%) 1 (50.0%) 2 (100.0%)
CoVLie_HadVax_rzn_6 2 (100.0%) 0 (0.0%) 2 (100.0%)
CoVLie_HadVax_rzn_7 1 (50.0%) 1 (50.0%) 2 (100.0%)
CoVLie_HadVax_rzn_8 2 (100.0%) 0 (0.0%) 2 (100.0%)
CoVLie_HadVax_rzn_9 2 (100.0%) 0 (0.0%) 2 (100.0%)
CoVLie_HadVax_rzn_10 0 (0.0%) 2 (100.0%) 2 (100.0%)
CoVLie_HadVax_rzn_11 2 (100.0%) 0 (0.0%) 2 (100.0%)
CoVLie_HadVax_rzn_12 1 (50.0%) 1 (50.0%) 2 (100.0%)

Reasons for feeling judged

## [1] "Na"

Any other reasons?

## [1] "Na"       "Not sure"
Not vaxxed when vaxxed
  measurement    
condition No Yes Total
CoVLie_NoVax_rzn_1 2 (33.3%) 4 (66.7%) 6 (100.0%)
CoVLie_NoVax_rzn_2 4 (66.7%) 2 (33.3%) 6 (100.0%)
CoVLie_NoVax_rzn_3 3 (50.0%) 3 (50.0%) 6 (100.0%)
CoVLie_NoVax_rzn_4 4 (66.7%) 2 (33.3%) 6 (100.0%)
CoVLie_NoVax_rzn_5 4 (66.7%) 2 (33.3%) 6 (100.0%)

Reasons for feeling judged

## [1] "None"                                                                                           
## [2] "might judge or think badly of you. Why did you think someone would judge or think badly of you?"

Any other reasons?

## [1] "The card is in the morning and I can get a chance to"
## [2] "None"                                                
## [3] "It was dangerous"                                    
## [4] "Nothing"                                             
## [5] "None"                                                
## [6] "Don't really have anything to say here."
Avoid test
  measurement    
condition No Yes Total
CoVLie_Tested_rzn_1 3 (75.0%) 1 (25.0%) 4 (100.0%)
CoVLie_Tested_rzn_2 4 (100.0%) 0 (0.0%) 4 (100.0%)
CoVLie_Tested_rzn_3 3 (75.0%) 1 (25.0%) 4 (100.0%)
CoVLie_Tested_rzn_4 4 (100.0%) 0 (0.0%) 4 (100.0%)
CoVLie_Tested_rzn_5 3 (75.0%) 1 (25.0%) 4 (100.0%)
CoVLie_Tested_rzn_6 1 (25.0%) 3 (75.0%) 4 (100.0%)
CoVLie_Tested_rzn_7 3 (75.0%) 1 (25.0%) 4 (100.0%)
CoVLie_Tested_rzn_8 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVLie_Tested_rzn_9 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVLie_Tested_rzn_10 3 (75.0%) 1 (25.0%) 4 (100.0%)
CoVLie_Tested_rzn_11 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVLie_Tested_rzn_12 1 (25.0%) 3 (75.0%) 4 (100.0%)
CoVLie_Tested_rzn_13 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVLie_Tested_rzn_14 3 (75.0%) 1 (25.0%) 4 (100.0%)
CoVLie_Tested_rzn_15 4 (100.0%) 0 (0.0%) 4 (100.0%)
CoVLie_Tested_rzn_16 3 (75.0%) 1 (25.0%) 4 (100.0%)
CoVLie_Tested_rzn_17 3 (75.0%) 1 (25.0%) 4 (100.0%)

Reasons for feeling judged

## [1] "Na"

Any other reasons?

## [1] "Iuyuj" "Okay"  "Na"    "None"
Lie about quarantine
  measurement    
condition No Yes Total
CoVLie_Qteen_rzn_1 1 (33.3%) 2 (66.7%) 3 (100.0%)
CoVLie_Qteen_rzn_2 0 (0.0%) 3 (100.0%) 3 (100.0%)
CoVLie_Qteen_rzn_3 2 (66.7%) 1 (33.3%) 3 (100.0%)
CoVLie_Qteen_rzn_4 2 (66.7%) 1 (33.3%) 3 (100.0%)
CoVLie_Qteen_rzn_5 0 (0.0%) 3 (100.0%) 3 (100.0%)
CoVLie_Qteen_rzn_6 1 (33.3%) 2 (66.7%) 3 (100.0%)
CoVLie_Qteen_rzn_7 2 (66.7%) 1 (33.3%) 3 (100.0%)
CoVLie_Qteen_rzn_8 1 (33.3%) 2 (66.7%) 3 (100.0%)
CoVLie_Qteen_rzn_9 1 (33.3%) 2 (66.7%) 3 (100.0%)
CoVLie_Qteen_rzn_10 0 (0.0%) 3 (100.0%) 3 (100.0%)
CoVLie_Qteen_rzn_11 1 (33.3%) 2 (66.7%) 3 (100.0%)
CoVLie_Qteen_rzn_12 1 (33.3%) 2 (66.7%) 3 (100.0%)
CoVLie_Qteen_rzn_13 0 (0.0%) 3 (100.0%) 3 (100.0%)
CoVLie_Qteen_rzn_14 1 (33.3%) 2 (66.7%) 3 (100.0%)
CoVLie_Qteen_rzn_15 1 (33.3%) 2 (66.7%) 3 (100.0%)
CoVLie_Qteen_rzn_16 1 (33.3%) 2 (66.7%) 3 (100.0%)
CoVLie_Qteen_rzn_17 0 (0.0%) 3 (100.0%) 3 (100.0%)

Reasons for feeling judged

## NULL

Any other reasons?

## [1] "None"          "Nothing"       "No not really"
Broke quarantine
  measurement    
condition 1 2 Total
CoVBrk_Qteen_rzn_1 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_2 1 (25.0%) 3 (75.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_3 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_4 0 (0.0%) 4 (100.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_5 1 (25.0%) 3 (75.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_6 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_7 1 (25.0%) 3 (75.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_8 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_9 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_10 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_11 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_12 1 (25.0%) 3 (75.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_13 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_14 2 (50.0%) 2 (50.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_15 0 (0.0%) 4 (100.0%) 4 (100.0%)
CoVBrk_Qteen_rzn_16 2 (50.0%) 2 (50.0%) 4 (100.0%)

Reasons for feeling judged

## [1] "None"                                                                                                                                                          
## [2] "Nothing love you guys like you said to you too and you are the might judge or think badly of you. Why did you think someone would judge or think badly of you?"

Any other reasons?

## [1] "YouTube"                            "None"                              
## [3] "Nothing love you guys like that is" "Nope"
  measurement  
condition No Total
CoVBrk_Qteen_RznKid_1 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_2 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_3 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_4 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_5 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_6 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_7 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_8 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_9 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_10 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_11 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_12 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_13 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_14 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_15 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_16 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_17 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_18 1 (100.0%) 1 (100.0%)
CoVBrk_Qteen_RznKid_19 1 (100.0%) 1 (100.0%)

Reasons for feeling judged

## character(0)

Any other reasons?

## character(0)
  measurement    
condition No Yes Total
CoVLie_Older_RznKid_1 0 (0.0%) 2 (100.0%) 2 (100.0%)
CoVLie_Older_RznKid_2 2 (100.0%) 0 (0.0%) 2 (100.0%)
CoVLie_Older_RznKid_3 0 (0.0%) 2 (100.0%) 2 (100.0%)
CoVLie_Older_RznKid_4 1 (50.0%) 1 (50.0%) 2 (100.0%)
CoVLie_Older_RznKid_5 1 (50.0%) 1 (50.0%) 2 (100.0%)

Any other reasons?

## [1] "Nothing to worry about me might judge or think badly of you. Why did you think someone would judge or think badly of you?"
  measurement    
condition 1 2 Total
CoVLie_HadVax_RznKid_1 0 (0.0%) 1 (100.0%) 1 (100.0%)
CoVLie_HadVax_RznKid_2 0 (0.0%) 1 (100.0%) 1 (100.0%)
CoVLie_HadVax_RznKid_3 0 (0.0%) 1 (100.0%) 1 (100.0%)
CoVLie_HadVax_RznKid_4 0 (0.0%) 1 (100.0%) 1 (100.0%)
CoVLie_HadVax_RznKid_5 0 (0.0%) 1 (100.0%) 1 (100.0%)
CoVLie_HadVax_RznKid_6 0 (0.0%) 1 (100.0%) 1 (100.0%)
CoVLie_HadVax_RznKid_7 1 (100.0%) 0 (0.0%) 1 (100.0%)
CoVLie_HadVax_RznKid_8 0 (0.0%) 1 (100.0%) 1 (100.0%)
CoVLie_HadVax_RznKid_24 0 (0.0%) 1 (100.0%) 1 (100.0%)
CoVLie_HadVax_RznKid_25 1 (100.0%) 0 (0.0%) 1 (100.0%)

Reasons for feeling judged

## [1] "might judge or think badly of you. Why did you think someone would judge or think badly of you?"

Any other reasons?

## [1] "Nothing"

7 Vax and masking qs



7.1 Anonymous vaccination

##  data$AnonVaxIntent_Chr  n percent valid_percent
##                   Maybe  2    5.0%         18.2%
##                      No  7   17.5%         63.6%
##                     Yes  2    5.0%         18.2%
##                    <NA> 29   72.5%             -
##                   Total 40  100.0%        100.0%
##  data$AnonVax_Chr  n percent valid_percent
##                No 27   67.5%         93.1%
##               Yes  2    5.0%          6.9%
##              <NA> 11   27.5%             -
##             Total 40  100.0%        100.0%


7.2 Masking

How often, if at all, have you worn a protective mask in each of the following places in the past month?

Important: remember that means have been calculated after removing those who answer “I dont go to this place”

vars n mean sd median trimmed mad min max range skew kurtosis se
Outdoors (crowded places) 1 35 2.885714 1.105373 3 2.965517 1.4826 1 4 3 -0.4168415 -1.2827326 0.1868421
Outdoor (w/friends/family) 2 35 2.885714 1.105373 3 2.965517 1.4826 1 4 3 -0.4168415 -1.2827326 0.1868421
at work 3 35 2.885714 1.105373 3 2.965517 1.4826 1 4 3 -0.4168415 -1.2827326 0.1868421
grocery store 4 35 2.885714 1.105373 3 2.965517 1.4826 1 4 3 -0.4168415 -1.2827326 0.1868421
public transport 5 28 3.035714 1.104943 3 3.125000 1.4826 1 4 3 -0.7024431 -0.9744882 0.2088146


7.3 Mask + vax norm

vars n mean sd median trimmed mad min max range skew kurtosis se
Mask compared to others 1 40 2.800 1.066987 3 2.84375 1.4826 1 5 4 -0.3506970 -0.7307213 0.1687055
Other vax 2 40 2.725 1.109111 3 2.71875 1.4826 1 5 4 0.0991544 -0.8364786 0.1753659

7.4 Mandates


7.5 Exemptions

Medical reason:

## [1] "None"                                                                       
## [2] "Americal reasons for not getting the covid-19 shot is cuz I'm immune to the"
## [3] "Don't really have much of a comment here."                                  
## [4] "just not knowing what i am taking"

Religious reasons:

## [1] "Kuii"                                                                                      
## [2] "America reasons for not getting in the covid-19 shot is cuz I'm immune to the to the virus"
## [3] "I dont need to disclose this"

7.6 Any final thoughts


##  [1] "It looks good"                                                                                                                                       
##  [2] "Ok"                                                                                                                                                  
##  [3] "Iyuoo"                                                                                                                                               
##  [4] "None"                                                                                                                                                
##  [5] "Its all well cool & relevant"                                                                                                                        
##  [6] "The card is in the morning and I can get a chance to look at it tomorrow if"                                                                         
##  [7] "YouTube"                                                                                                                                             
##  [8] "I think that there is really nothing to be embarrassed about getting the vaccine, but there is way to much pressure to get one of you choose not to."
##  [9] "Great survey so far"                                                                                                                                 
## [10] "None"                                                                                                                                                
## [11] "No"                                                                                                                                                  
## [12] "It’s safe"                                                                                                                                           
## [13] "Ma"                                                                                                                                                  
## [14] "Nothing really"                                                                                                                                      
## [15] "My thoughts about the question-and-answer so far was great educational and benefit for the long"                                                     
## [16] "Not a thing"                                                                                                                                         
## [17] "People choose if they wanted to get vaccinated i personally did for my own and other peoples health"                                                 
## [18] "I believe my son had covid, but before we really knew what it was, it was before the media had told us about it.k"                                   
## [19] "No"                                                                                                                                                  
## [20] "Nope"                                                                                                                                                
## [21] "Nome"                                                                                                                                                
## [22] "Awesome love it"                                                                                                                                     
## [23] "Questions are ok"                                                                                                                                    
## [24] "I'm fine with my answer nor am I ashame with them"                                                                                                   
## [25] "Positive vibes An roots raggae music..."                                                                                                             
## [26] "Nothing really to say for this one."                                                                                                                 
## [27] "God"                                                                                                                                                 
## [28] "I will not get the vaccine no matter what I dont need it nobody needs it and I disagree with it."                                                    
## [29] "nothing i can say"

8 Demographics



8.1 Age


Mean age and plot of all ages.

##    vars  n  mean   sd median trimmed   mad min max range skew kurtosis   se
## X1    1 39 35.92 11.8     32   35.33 10.38  18  65    47 0.53    -0.79 1.89



8.2 Gender



##  data$Gender_Model  n percent
##             Female 24   60.0%
##               Male 16   40.0%
##              Total 40  100.0%


8.3 Income (not collected)



8.4 Health literacy (not collected)



8.5 Numeracy (not collected)



8.6 Race/Ethnicity



##  data$LatinxCHR  n percent
##        Hispanic  5   12.5%
##    Non-hispanic 35   87.5%
##           Total 40  100.0%
LatinxCHR RaceCHR freq
Non-hispanic Asian or Asian American 1 (2.9%)
Non-hispanic Black or African American 11 (31.4%)
Non-hispanic Other 1 (2.9%)
Non-hispanic White or European American 22 (62.9%)
Hispanic Asian or Asian American 1 (20.0%)
Hispanic Black or African American 1 (20.0%)
Hispanic White or European American 3 (60.0%)

##  data$NonHispanicWhite_Fct  n percent
##                         No 18   45.0%
##                        Yes 22   55.0%
##                      Total 40  100.0%


8.7 Education


How participants best described their highest level of education

##                            data$Education_Fct  n percent
##                                          None  1    2.5%
##                             Elementary school  1    2.5%
##               Some high school but no diploma  2    5.0%
##                  High school (Diploma or GED) 14   35.0%
##                   Some college, but no degree  9   22.5%
##                                  Trade school  2    5.0%
##              Bachelor’s degree (BS, BA, etc.)  8   20.0%
##               Master’s degree (MA, MPH, etc.)  2    5.0%
##  Doctoral/Professional degree (PhD, MD, etc.)  1    2.5%
##                                   No response  0    0.0%
##                                         Total 40  100.0%

8.8 Rural/Urban


How participants best described the place where they live

##                   data$UrbanRural_Fct  n percent
##                                 Rural 10   25.0%
##             Small (less than 100,000)  3    7.5%
##              Suburban near large city 22   55.0%
##  Mid sized city (100,000 to 1million)  1    2.5%
##         large city more than 1million  4   10.0%
##                                 Other  0    0.0%
##                                 Total 40  100.0%

8.9 State regions


Looking at regions based on states. (note: I need to add District of Columbia to a region)

##  data$State_Region  n percent valid_percent
##            Midwest  9   22.5%         23.1%
##          Northeast  9   22.5%         23.1%
##              South 17   42.5%         43.6%
##               West  4   10.0%         10.3%
##               <NA>  1    2.5%             -
##              Total 40  100.0%        100.0%
##         data$stateCHR  n percent
##               Alabama  1    2.5%
##               Arizona  1    2.5%
##            California  1    2.5%
##              Delaware  1    2.5%
##  District of Columbia  1    2.5%
##               Florida  5   12.5%
##               Georgia  2    5.0%
##              Illinois  2    5.0%
##               Indiana  1    2.5%
##                  Iowa  1    2.5%
##              Kentucky  1    2.5%
##         Massachusetts  2    5.0%
##              Michigan  1    2.5%
##              Missouri  3    7.5%
##               Montana  1    2.5%
##                Nevada  1    2.5%
##         New Hampshire  1    2.5%
##              New York  4   10.0%
##        North Carolina  1    2.5%
##              Oklahoma  1    2.5%
##          Pennsylvania  2    5.0%
##          South Dakota  1    2.5%
##                 Texas  4   10.0%
##         West Virginia  1    2.5%
##                 Total 40  100.0%

9 Individual differences



9.1 Politics


##              data$Political_Fct  n percent
##                        Democrat  8   20.0%
##                      Republican 16   40.0%
##                     Independent 13   32.5%
##             Liberal third party  0    0.0%
##        Conservative third party  0    0.0%
##  No political party affiliation  3    7.5%
##                           Total 40  100.0%
##  data$PoliticalSocial_Fct  n percent
##              Very liberal  6   15.0%
##                   Liberal  2    5.0%
##          Slightly liberal  3    7.5%
##                  Moderate 13   32.5%
##     Slightly conservative  5   12.5%
##              Conservative  4   10.0%
##         Very conservative  7   17.5%
##                     Total 40  100.0%

9.2 Religion


##  data$Religiosity_Fct  n percent
##  Not at all religious 10   25.0%
##                     2  4   10.0%
##                     3  4   10.0%
##                     4  3    7.5%
##                     5  5   12.5%
##                     6  5   12.5%
##        Very religious  9   22.5%
##                 Total 40  100.0%
vars n mean sd median trimmed mad min max range skew kurtosis se
Religiosity 1 40 4 2.353394 4 4 2.9652 1 7 6 -0.0345246 -1.621007 0.3721042
##   data$ReligiousViews_Fct  n percent
##          Very traditional  6   15.0%
##                         2  3    7.5%
##                         3  5   12.5%
##                         4 10   25.0%
##                         5  4   10.0%
##                         6  1    2.5%
##          Very progressive  5   12.5%
##  I'm not religious at all  6   15.0%
##                     Total 40  100.0%
vars n mean sd median trimmed mad min max range skew kurtosis se
Religious views 1 34 3.764706 1.923677 4 3.714286 1.4826 1 7 6 0.1761888 -0.9306762 0.329908

9.3 Vax general


##  data$VaxGeneral_Fct  n percent
##        Very negative  4   10.0%
##                    2  0    0.0%
##                    3  4   10.0%
##                    4  7   17.5%
##                    5  8   20.0%
##                    6  8   20.0%
##        Very positive  9   22.5%
##                Total 40  100.0%
vars n mean sd median trimmed mad min max range skew kurtosis se
Vax General 1 40 4.875 1.828373 5 5.09375 1.4826 1 7 6 -0.6791024 -0.4234443 0.2890912

9.4 EVCI (TBC)



9.5 Belief in science


The reliability of the (lack of) Belief in science items is good. Cronbach’s Alpha is .90.

## $total
##  raw_alpha std.alpha   G6(smc) average_r      S/N        ase     mean       sd
##  0.9032634 0.9044354 0.9114076 0.6120052 9.464126 0.02375333 4.416667 1.221834
##   median_r
##  0.6439699

Overall descriptives

##    vars  n mean   sd median trimmed  mad min  max range skew kurtosis   se
## X1    1 40 4.42 1.22   4.33    4.45 0.99   1 6.83  5.83 -0.3     0.48 0.19

Reported belief in science for each item


9.6 Conspiracy theories


The reliability of the Belief in conspiracy theories items is good. Cronbach’s Alpha is .86.

## $total
##  raw_alpha std.alpha   G6(smc) average_r      S/N        ase     mean       sd
##  0.8642102 0.8668368 0.8732338 0.5203676 6.509581 0.03365887 2.920833 1.004256
##  median_r
##   0.51884

Overall descriptives

##    vars  n mean sd median trimmed  mad min max range  skew kurtosis   se
## X1    1 40 2.92  1      3    2.95 0.74   1   5     4 -0.17    -0.22 0.16

Reported belief in each conspiracy theory item



9.7 Info sources


From where do you get guidance regarding COVID-19?

  • My doctor (InfoSources_1)
  • Friends (InfoSources_2)
  • Family (InfoSources_3)
  • Local Department of Health (InfoSources_4)
  • Centers for Disease Control and Prevention (CDC) (InfoSources_5)
  • Google (InfoSources_6)
  • A certain politician (InfoSources_7)
  • A certain celebrity (InfoSources_8)
  • A certain media personality (InfoSources_11)
##                 measurement                       
##       condition          No        Yes       Total
##   InfoSources_1  22 (55.0%) 18 (45.0%) 40 (100.0%)
##   InfoSources_2  28 (70.0%) 12 (30.0%) 40 (100.0%)
##   InfoSources_3  16 (40.0%) 24 (60.0%) 40 (100.0%)
##   InfoSources_4  25 (64.1%) 14 (35.9%) 39 (100.0%)
##   InfoSources_5  27 (67.5%) 13 (32.5%) 40 (100.0%)
##   InfoSources_6  20 (50.0%) 20 (50.0%) 40 (100.0%)
##   InfoSources_7  36 (94.7%)  2  (5.3%) 38 (100.0%)
##   InfoSources_8  35 (97.2%)  1  (2.8%) 36 (100.0%)
##  InfoSources_11  35 (92.1%)  3  (7.9%) 38 (100.0%)

Politicians:

## [1] "None" "Jj"   "None" "No"   "none"

Celebrity:

## [1] "None"  "I’m y" "None"  "No"    "No"    "none"

Media personality:

## [1] "None"    "Hh"      "None"    "YouTube" "No"      "none"