MikoFile
OR
23 1 2022
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Bachelor Thesis Miko Schiebler
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Reference for PLS-Technique https://www.youtube.com/watch?v=Q-KiO2urNEU
Install Packages
Load Data
setwd("C:/Users/RIECK/Desktop/Miko")
Mikodat<-read.csv("Miko5.csv",sep=";")xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Cleaning the Data
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We create three different “cleaned” datasets:
- Mikodat1 - all obs with na removed
- Mikodat2 - obs with na reconstructed, whereever possible, otherwise removed
- Mikodat3 - like Mikodat1, plus obs with “Nat”==3 also removed
- Mikodat4 - like Mikodat1, plus obs with “Nat”==3 also removed
## The relevant columns are selected. "#NULL!" is replaced with "na"
relevantcols<-c(8:17,19:32,35)
Mikodat<-Mikodat[,relevantcols] ## select relevant columns
Mikodat[Mikodat=="#NULL!"]<-NA
head(Mikodat)## PR1 PR2 PR3 PR4 T1 T2 T3 I1 I2 I3 UI1 UI2 UI3 UA1 UA2 UA3 IC1 IC2 IC3 IC4
## 1 4 2 3 3 4 2 2 2 2 3 4 4 50 5 4 5 5 5 1 3
## 2 4 4 4 4 3 3 2 2 2 2 2 2 10 4 4 4 5 5 3 4
## 3 5 5 4 4 3 2 2 2 2 2 1 1 2 3 5 2 5 4 1 4
## 4 4 5 2 2 2 3 1 1 1 1 4 3 40 2 5 4 5 5 3 5
## 5 1 2 3 3 4 4 3 5 4 4 3 2 10 2 5 5 5 5 2 4
## 6 2 1 2 3 5 3 1 2 1 1 1 1 3 5 4 5 5 4 2 4
## Hed1 Hed2 Stim1 Stim2 Nat
## 1 2 4 3 2 0
## 2 4 4 4 3 1
## 3 4 4 4 3 0
## 4 4 5 5 5 1
## 5 5 4 4 3 0
## 6 4 4 4 5 0## Mikodat1 is the data set with all relevant variables. Any observations with missing values are removed
Mikodat1<-data.matrix(Mikodat[complete.cases(Mikodat[,]),])
Mikodat1[,"UI3"]<-Mikodat1[,"UI3"]/20
head(Mikodat1)## PR1 PR2 PR3 PR4 T1 T2 T3 I1 I2 I3 UI1 UI2 UI3 UA1 UA2 UA3 IC1 IC2 IC3 IC4
## 1 4 2 3 3 4 2 2 2 2 3 4 4 0.80 5 4 5 4 4 1 3
## 2 4 4 4 4 3 3 2 2 2 2 2 2 0.15 4 4 4 4 4 3 4
## 3 5 5 4 4 3 2 2 2 2 2 1 1 0.30 3 5 2 4 3 1 4
## 4 4 5 2 2 2 3 1 1 1 1 4 3 0.65 2 5 4 4 4 3 5
## 5 1 2 3 3 4 4 3 5 4 4 3 2 0.15 2 5 5 4 4 2 4
## 6 2 1 2 3 5 3 1 2 1 1 1 1 0.45 5 4 5 4 3 2 4
## Hed1 Hed2 Stim1 Stim2 Nat
## 1 2 3 3 2 1
## 2 4 3 4 3 2
## 3 4 3 4 3 1
## 4 4 4 5 5 2
## 5 5 3 4 3 1
## 6 4 3 4 5 1## Mikodat2 is the data set with all relevant variables. Missing values are replaced with the mean value of items of the same construct. If all values of a construct are missing, the observation is removed
Mikodat2<-data.matrix(Mikodat[,])
Mikodat2[,"UI3"]<-Mikodat2[,"UI3"]/20
## fehlende Daten werden hier behandelt:
Mikodat2[14,"I1"]<-mean(c(Mikodat2[14,"I2"],Mikodat2[14,"I3"]))
Mikodat2[87,"I1"]<-mean(c(Mikodat2[87,"I2"],Mikodat2[87,"I3"]))
Mikodat2[114,"I3"]<-mean(c(Mikodat2[114,"I1"],Mikodat2[114,"I2"]))
Mikodat2[127,"I3"]<-mean(c(Mikodat2[127,"I1"],Mikodat2[127,"I2"]))
Mikodat2[65,"PR4"]<-mean(c(Mikodat2[65,"PR1"],Mikodat2[65,"PR2"],Mikodat2[65,"PR3"]))
Mikodat2[74,"PR4"]<-mean(c(Mikodat2[74,"PR1"],Mikodat2[74,"PR2"],Mikodat2[74,"PR3"]))
Mikodat2[119,"PR4"]<-mean(c(Mikodat2[119,"PR1"],Mikodat2[119,"PR2"],Mikodat2[119,"PR3"]))
Mikodat2[68,"T1"]<-mean(c(Mikodat2[68,"T2"],Mikodat2[68,"T3"]))
Mikodat2[71,"T1"]<-Mikodat2[71,"T3"]
Mikodat2[71,"T2"]<-Mikodat2[71,"T3"]
Mikodat2[115,"T1"]<-mean(c(Mikodat2[115,"T2"],Mikodat2[115,"T3"]))
Mikodat2[119,"T1"]<-mean(c(Mikodat2[119,"T2"],Mikodat2[119,"T3"]))
Mikodat2[121,"T3"]<-mean(c(Mikodat2[121,"T1"],Mikodat2[121,"T2"]))
Mikodat2[79,"UI3"]<-mean(c(Mikodat2[79,"UI1"],Mikodat2[79,"UI2"]))
Mikodat2[100,"UI3"]<-mean(c(Mikodat2[100,"UI1"],Mikodat2[100,"UI2"]))
Mikodat2[127,"UI1"]<-Mikodat2[127,"UI2"]
Mikodat2[127,"UI3"]<-Mikodat2[127,"UI2"]
Mikodat2[47,"UA1"]<-mean(c(Mikodat2[47,"UA2"],Mikodat2[47,"UA3"]))
Mikodat2[49,"UA1"]<-mean(c(Mikodat2[49,"UA2"],Mikodat2[49,"UA3"]))
Mikodat2[65,"UA1"]<-mean(c(Mikodat2[65,"UA2"],Mikodat2[65,"UA3"]))
Mikodat2[45,"IC1"]<-mean(c(Mikodat2[45,"IC3"],Mikodat2[45,"IC4"]))
Mikodat2[45,"IC2"]<-mean(c(Mikodat2[45,"IC3"],Mikodat2[45,"IC4"]))
Mikodat2[68,"IC2"]<-mean(c(Mikodat2[68,"IC1"],Mikodat2[68,"IC3"],Mikodat2[68,"IC4"]))
Mikodat2[86,"IC4"]<-mean(c(Mikodat2[86,"IC1"],Mikodat2[86,"IC2"],Mikodat2[86,"IC3"]))
Mikodat2[127,"IC1"]<-mean(c(Mikodat2[127,"IC2"],Mikodat2[127,"IC3"],Mikodat2[127,"IC4"]))
Mikodat2[45,"Hed1"]<-Mikodat2[45,"Hed2"]
Mikodat2[24,"Stim1"]<-Mikodat2[24,"Stim2"]
Mikodat2[45,"Stim1"]<-Mikodat2[45,"Stim2"]
Mikodat2[127,"Stim1"]<-Mikodat2[127,"Stim2"]
completeobs<-complete.cases(Mikodat2[,])
Mikodat2<-Mikodat2[complete.cases(Mikodat2[,]),]
head(Mikodat2)## PR1 PR2 PR3 PR4 T1 T2 T3 I1 I2 I3 UI1 UI2 UI3 UA1 UA2 UA3 IC1 IC2 IC3 IC4
## [1,] 4 2 3 3 4 2 2 2 2 3 4 4 0.80 5 4 5 4 4 1 3
## [2,] 4 4 4 4 3 3 2 2 2 2 2 2 0.15 4 4 4 4 4 3 4
## [3,] 5 5 4 4 3 2 2 2 2 2 1 1 0.30 3 5 2 4 3 1 4
## [4,] 4 5 2 2 2 3 1 1 1 1 4 3 0.65 2 5 4 4 4 3 5
## [5,] 1 2 3 3 4 4 3 5 4 4 3 2 0.15 2 5 5 4 4 2 4
## [6,] 2 1 2 3 5 3 1 2 1 1 1 1 0.45 5 4 5 4 3 2 4
## Hed1 Hed2 Stim1 Stim2 Nat
## [1,] 2 4 3 2 1
## [2,] 4 4 4 3 2
## [3,] 4 4 4 3 1
## [4,] 4 5 5 5 2
## [5,] 5 4 4 3 1
## [6,] 4 4 4 5 1##Mikodat3 contains all observations from Mikodat1 with Nat==1 or Nat==2
Mikodat3<-Mikodat1[Mikodat1[,"Nat"]!=3,]##Mikodat4 contains all observations from Mikodat2 with Nat==1 or Nat==2
Mikodat4<-Mikodat2[Mikodat2[,"Nat"]!=3,]xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Model Analysis
(1) Factor Analysis
(2) PLS-Regression
We estimate 4 different Model Specifications
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Define PLS model structure
UncAv<-c(0,0,0,0,0,0,0,0)
Indiv<-c(0,0,0,0,0,0,0,0)
PerRisk<-c(1,0,0,0,0,0,0,0)
Trust<-c(1,0,0,0,0,0,0,0)
Intimicy<-c(0,1,0,0,0,0,0,0)
Hedonism<-c(0,1,0,0,0,0,0,0)
Stimulation<-c(0,1,0,0,0,0,0,0)
UseIntention<-c(0,0,1,1,1,1,1,0)
Path<-rbind(UncAv,Indiv,PerRisk,Trust,Intimicy,Hedonism,Stimulation,UseIntention)
MikoBlocksM1<-list(14:16,17:20,1:4,5:7,8:10,21:22,23:24,11:13) # with all items
MikoBlocksM2<-list(14:16,17,1:4,5:7,8:10,21:22,23:24,11:13) # only IC1
MikoModes<-rep("A",8)
innerplot(Path)
PLS_Mikodat1
factanal(Mikodat1[,1:24],factors=8, rotation="varimax")##
## Call:
## factanal(x = Mikodat1[, 1:24], factors = 8, rotation = "varimax")
##
## Uniquenesses:
## PR1 PR2 PR3 PR4 T1 T2 T3 I1 I2 I3 UI1 UI2 UI3
## 0.672 0.765 0.005 0.543 0.716 0.474 0.608 0.365 0.390 0.379 0.063 0.065 0.377
## UA1 UA2 UA3 IC1 IC2 IC3 IC4 Hed1 Hed2 Stim1 Stim2
## 0.813 0.588 0.283 0.527 0.722 0.799 0.854 0.742 0.028 0.613 0.005
##
## Loadings:
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## PR1 -0.338 0.256 0.118 0.337
## PR2 -0.128 -0.308 0.344
## PR3 -0.336 -0.320 0.882
## PR4 -0.236 -0.535 0.114 0.146 0.242 0.118
## T1 0.514
## T2 0.610 0.181 0.179 0.105 -0.270
## T3 0.220 0.236 0.518
## I1 0.753 0.159 0.157
## I2 0.111 0.743 -0.170
## I3 0.766
## UI1 0.929 0.129 0.142 0.117
## UI2 0.925 0.202 0.112
## UI3 0.756 0.157 0.114
## UA1 0.404
## UA2 0.531 0.274 0.169 -0.125
## UA3 -0.166 0.269 0.764 0.132
## IC1 -0.165 0.644
## IC2 0.107 0.498
## IC3 0.184 0.382
## IC4 -0.145 0.171 0.263 0.124
## Hed1 0.121 0.192 0.431 0.102
## Hed2 0.165 0.162 0.113 0.944
## Stim1 0.602
## Stim2 0.976 0.163
##
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## SS loadings 2.65 1.884 1.537 1.490 1.296 1.280 1.262 1.200
## Proportion Var 0.11 0.079 0.064 0.062 0.054 0.053 0.053 0.050
## Cumulative Var 0.11 0.189 0.253 0.315 0.369 0.422 0.475 0.525
##
## Test of the hypothesis that 8 factors are sufficient.
## The chi square statistic is 129.24 on 112 degrees of freedom.
## The p-value is 0.127MikoPLS1<-plspm(Mikodat1,Path,MikoBlocksM1,mode=MikoModes)
MikoPLS1## Partial Least Squares Path Modeling (PLS-PM)
## ---------------------------------------------
## NAME DESCRIPTION
## 1 $outer_model outer model
## 2 $inner_model inner model
## 3 $path_coefs path coefficients matrix
## 4 $scores latent variable scores
## 5 $crossloadings cross-loadings
## 6 $inner_summary summary inner model
## 7 $effects total effects
## 8 $unidim unidimensionality
## 9 $gof goodness-of-fit
## 10 $boot bootstrap results
## 11 $data data matrix
## ---------------------------------------------
## You can also use the function 'summary'MikoPLS1$unidim## Mode MVs C.alpha DG.rho eig.1st eig.2nd
## UncAv A 3 0.5588746 0.7733204 1.604285 0.8444697
## Indiv A 4 0.4156240 0.6832083 1.526082 1.0082198
## PerRisk A 4 0.6227669 0.7800061 1.889938 0.8293487
## Trust A 3 0.5868617 0.7842781 1.649685 0.7815622
## Intimicy A 3 0.7901873 0.8772905 2.113246 0.4498924
## Hedonism A 2 0.5655420 0.8215381 1.394255 0.6057452
## Stimulation A 2 0.7513041 0.8894044 1.601671 0.3983290
## UseIntention A 3 0.9194859 0.9495350 2.588119 0.3411787MikoPLS1$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.7012900168 0.117054480 -0.14723272 0.16224754
## 2 UA2 UncAv 0.6287842937 0.336593339 -0.04641971 0.17636044
## 3 UA3 UncAv 0.8401809856 0.299509950 -0.18452051 0.18319719
## 4 IC1 Indiv 0.2683550071 0.675357730 -0.02539835 0.10435863
## 5 IC2 Indiv 0.1575907276 0.785239864 0.02332144 0.06366670
## 6 IC3 Indiv 0.2110150198 0.263672359 0.02499569 0.05133371
## 7 IC4 Indiv 0.2298150263 0.617733096 -0.03015184 0.07778012
## 8 PR1 PerRisk 0.0008925176 0.092292684 0.47600797 -0.30235686
## 9 PR2 PerRisk -0.2759490394 -0.093424328 0.69837705 -0.09790297
## 10 PR3 PerRisk -0.1317000281 0.023709850 0.89273385 -0.41405533
## 11 PR4 PerRisk 0.1371995331 0.076961270 0.48123241 -0.37511063
## 12 T1 Trust 0.1650821427 -0.002142047 -0.28383008 0.60029213
## 13 T2 Trust 0.2370796881 0.150301515 -0.42376144 0.79017679
## 14 T3 Trust 0.1298739701 0.094758258 -0.18969867 0.81329236
## 15 I1 Intimicy 0.1066581397 0.026602079 0.01227289 0.18772801
## 16 I2 Intimicy 0.0581181174 0.122024055 0.01858295 0.07246093
## 17 I3 Intimicy -0.0476340892 -0.041084708 -0.06801253 0.10536985
## 18 Hed1 Hedonism 0.1794747367 0.124639493 0.09302859 -0.03256532
## 19 Hed2 Hedonism 0.1534610323 0.156679456 -0.06883980 0.11821728
## 20 Stim1 Stimulation -0.0359454168 0.069147990 0.04593718 0.06964584
## 21 Stim2 Stimulation -0.0839752461 0.164318718 0.01786763 0.14401963
## 22 UI1 UseIntention 0.1439140765 0.086532620 -0.35690632 0.27829994
## 23 UI2 UseIntention 0.1973137215 0.103845234 -0.36531039 0.25731102
## 24 UI3 UseIntention 0.1174376680 0.145948505 -0.30855989 0.24840599
## Intimicy Hedonism Stimulation UseIntention
## 1 0.0395690479 0.011090712 -0.015103003 0.1471227052
## 2 -0.0371335416 0.236380554 0.075892612 0.0001903931
## 3 0.0810529508 0.182020912 -0.157203318 0.1802858673
## 4 -0.1001514070 0.205651760 0.156981977 0.1019869855
## 5 0.0792621121 0.081172950 0.140169165 0.1040395244
## 6 0.1190686429 0.107657802 -0.113816844 0.2339503331
## 7 0.1581729480 0.038241970 0.032354372 -0.0769380241
## 8 -0.0590684616 0.093227953 -0.025005836 -0.0606577564
## 9 0.0319521928 -0.052946610 0.055297273 -0.0893203850
## 10 -0.0007966736 -0.068208565 0.007008635 -0.4348899059
## 11 -0.0689957909 0.229745794 0.054535725 -0.2638202469
## 12 0.0361045751 0.006381519 -0.069830227 0.1191080552
## 13 -0.0536533547 0.079991256 0.221334024 0.1651852845
## 14 0.2462056618 0.091406361 0.076700936 0.3119892128
## 15 0.7271956575 -0.090784384 -0.050598576 0.0528623173
## 16 0.9514575053 -0.077997198 -0.136002889 0.1506644884
## 17 0.7534799705 0.050105805 -0.074660653 0.1370123933
## 18 0.0511757925 0.646583148 -0.010576643 0.0249613923
## 19 -0.0929225448 0.955972600 0.204837302 0.2322739012
## 20 -0.0781552515 0.173270164 0.882532209 0.0776372620
## 21 -0.1403653424 0.127585042 0.906604983 -0.0007879644
## 22 0.1888556077 0.223381110 0.048665291 0.9692593080
## 23 0.1497696604 0.229593990 0.048874194 0.9654160963
## 24 0.0481638568 0.066836179 0.003855275 0.8423606241MikoPLS1$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.095742e-16 0.09543715 1.148130e-15 1.00000000
## UncAv -1.858106e-01 0.09543715 -1.946942e+00 0.05418778
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept 6.347959e-17 0.09439653 6.724780e-16 1.00000000
## UncAv 2.355106e-01 0.09439653 2.494907e+00 0.01414203
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.838467e-16 0.09681138 1.89902e-15 1.0000000
## Indiv 8.075241e-02 0.09681138 8.34121e-01 0.4060886
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.969477e-16 0.0957172 2.057600e-15 1.00000000
## Indiv 1.698563e-01 0.0957172 1.774564e+00 0.07884074
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept 4.556040e-17 0.09626215 4.732951e-16 1.000000
## Indiv 1.332721e-01 0.09626215 1.384470e+00 0.169122
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept -1.800863e-17 0.08782038 -2.050621e-16 1.000000000
## PerRisk -3.208930e-01 0.09617943 -3.336399e+00 0.001184864
## Trust 1.174020e-01 0.09791531 1.199016e+00 0.233299739
## Intimicy 1.505599e-01 0.08956987 1.680922e+00 0.095837946
## Hedonism 1.866601e-01 0.08939374 2.088067e+00 0.039282559
## Stimulation 2.499233e-02 0.09080992 2.752158e-01 0.783707160MikoPLS1$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.46466877 0.7012900 0.49180769 0.000000000
## 2 UA2 UncAv 0.33441169 0.6287843 0.39536969 0.000000000
## 3 UA3 UncAv 0.55209487 0.8401810 0.70590409 0.000000000
## 4 IC1 Indiv 0.44897308 0.6753577 0.45610806 0.000000000
## 5 IC2 Indiv 0.51438483 0.7852399 0.61660164 0.000000000
## 6 IC3 Indiv 0.19313065 0.2636724 0.06952311 0.000000000
## 7 IC4 Indiv 0.39166409 0.6177331 0.38159418 0.000000000
## 8 PR1 PerRisk 0.07026648 0.4760080 0.22658359 0.007822927
## 9 PR2 PerRisk 0.42957869 0.6983770 0.48773050 0.016839173
## 10 PR3 PerRisk 0.66636739 0.8927339 0.79697373 0.027515971
## 11 PR4 PerRisk 0.14890097 0.4812324 0.23158463 0.007995591
## 12 T1 Trust 0.33520346 0.6002921 0.36035064 0.019986933
## 13 T2 Trust 0.47447599 0.7901768 0.62437936 0.034631348
## 14 T3 Trust 0.52116570 0.8132924 0.66144447 0.036687173
## 15 I1 Intimicy 0.20391801 0.7271957 0.52881352 0.003448367
## 16 I2 Intimicy 0.70020732 0.9514575 0.90527138 0.005903231
## 17 I3 Intimicy 0.24618332 0.7534800 0.56773207 0.003702153
## 18 Hed1 Hedonism 0.31932053 0.6465831 0.41806977 0.012061794
## 19 Hed2 Hedonism 0.83007894 0.9559726 0.91388361 0.026366594
## 20 Stim1 Stimulation 0.52830486 0.8825322 0.77886310 0.013833740
## 21 Stim2 Stimulation 0.58873926 0.9066050 0.82193259 0.014598717
## 22 UI1 UseIntention 0.41422426 0.9692593 0.93946361 0.200418873
## 23 UI2 UseIntention 0.39712917 0.9654161 0.93202824 0.198832662
## 24 UI3 UseIntention 0.25537090 0.8423606 0.70957142 0.151375214MikoPLS1$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.00000000 0.000000 0.000000 0.0000000 0.0000000
## Indiv 0.0000000 0.00000000 0.000000 0.000000 0.0000000 0.0000000
## PerRisk -0.1858106 0.00000000 0.000000 0.000000 0.0000000 0.0000000
## Trust 0.2355106 0.00000000 0.000000 0.000000 0.0000000 0.0000000
## Intimicy 0.0000000 0.08075241 0.000000 0.000000 0.0000000 0.0000000
## Hedonism 0.0000000 0.16985627 0.000000 0.000000 0.0000000 0.0000000
## Stimulation 0.0000000 0.13327210 0.000000 0.000000 0.0000000 0.0000000
## UseIntention 0.0000000 0.00000000 -0.320893 0.117402 0.1505599 0.1866601
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.02499233 0MikoPLS1$gof## [1] 0.1863036MikoPLS1$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.00000000 0.00000000
## 2 UncAv -> PerRisk -0.18581057 0.00000000 -0.18581057
## 3 UncAv -> Trust 0.23551058 0.00000000 0.23551058
## 4 UncAv -> Intimicy 0.00000000 0.00000000 0.00000000
## 5 UncAv -> Hedonism 0.00000000 0.00000000 0.00000000
## 6 UncAv -> Stimulation 0.00000000 0.00000000 0.00000000
## 7 UncAv -> UseIntention 0.00000000 0.08727473 0.08727473
## 8 Indiv -> PerRisk 0.00000000 0.00000000 0.00000000
## 9 Indiv -> Trust 0.00000000 0.00000000 0.00000000
## 10 Indiv -> Intimicy 0.08075241 0.00000000 0.08075241
## 11 Indiv -> Hedonism 0.16985627 0.00000000 0.16985627
## 12 Indiv -> Stimulation 0.13327210 0.00000000 0.13327210
## 13 Indiv -> UseIntention 0.00000000 0.04719424 0.04719424
## 14 PerRisk -> Trust 0.00000000 0.00000000 0.00000000
## 15 PerRisk -> Intimicy 0.00000000 0.00000000 0.00000000
## 16 PerRisk -> Hedonism 0.00000000 0.00000000 0.00000000
## 17 PerRisk -> Stimulation 0.00000000 0.00000000 0.00000000
## 18 PerRisk -> UseIntention -0.32089297 0.00000000 -0.32089297
## 19 Trust -> Intimicy 0.00000000 0.00000000 0.00000000
## 20 Trust -> Hedonism 0.00000000 0.00000000 0.00000000
## 21 Trust -> Stimulation 0.00000000 0.00000000 0.00000000
## 22 Trust -> UseIntention 0.11740204 0.00000000 0.11740204
## 23 Intimicy -> Hedonism 0.00000000 0.00000000 0.00000000
## 24 Intimicy -> Stimulation 0.00000000 0.00000000 0.00000000
## 25 Intimicy -> UseIntention 0.15055994 0.00000000 0.15055994
## 26 Hedonism -> Stimulation 0.00000000 0.00000000 0.00000000
## 27 Hedonism -> UseIntention 0.18666009 0.00000000 0.18666009
## 28 Stimulation -> UseIntention 0.02499233 0.00000000 0.02499233MikoPLS1$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.000000000 0.5310272 0.000000000 0.5310272
## Indiv Exogenous 0.000000000 0.3809567 0.000000000 0.3809567
## PerRisk Endogenous 0.034525569 0.4357181 0.015043416 0.4357181
## Trust Endogenous 0.055465235 0.5487248 0.030435151 0.5487248
## Intimicy Endogenous 0.006520952 0.6672723 0.004351251 0.6672723
## Hedonism Endogenous 0.028851151 0.6659767 0.019214194 0.6659767
## Stimulation Endogenous 0.017761452 0.8003978 0.014216228 0.8003978
## UseIntention Endogenous 0.213333302 0.8603544 0.183542250 0.8603544plot(MikoPLS1)
PLS_Mikodat1 only with IC1
factanal(Mikodat1[,c(1:17,21:24)],factors=8, rotation="varimax")##
## Call:
## factanal(x = Mikodat1[, c(1:17, 21:24)], factors = 8, rotation = "varimax")
##
## Uniquenesses:
## PR1 PR2 PR3 PR4 T1 T2 T3 I1 I2 I3 UI1 UI2 UI3
## 0.706 0.005 0.471 0.543 0.774 0.400 0.588 0.370 0.397 0.414 0.043 0.083 0.397
## UA1 UA2 UA3 IC1 Hed1 Hed2 Stim1 Stim2
## 0.807 0.621 0.360 0.045 0.748 0.005 0.610 0.005
##
## Loadings:
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## PR1 -0.419 0.123 0.207 0.235
## PR2 -0.200 -0.216 0.949
## PR3 -0.369 -0.579 0.216
## PR4 -0.234 -0.522 0.105 0.238 0.215 0.118
## T1 0.451 0.112
## T2 0.712 0.196 0.204
## T3 0.203 0.494 0.254 0.111 0.190
## I1 0.771 0.119
## I2 0.100 0.745 -0.164
## I3 0.736 0.102 -0.107 -0.101
## UI1 0.947 0.163 0.132
## UI2 0.931 0.113 0.113 0.117
## UI3 0.751 0.156
## UA1 0.106 0.409
## UA2 0.192 0.508 0.232
## UA3 0.110 -0.157 0.120 0.754 -0.114
## IC1 -0.115 0.107 0.113 0.203 0.931
## Hed1 -0.139 0.420 0.203
## Hed2 0.161 0.169 0.964
## Stim1 0.609
## Stim2 0.987 0.107
##
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## SS loadings 2.647 1.898 1.833 1.520 1.297 1.287 1.081 1.046
## Proportion Var 0.126 0.090 0.087 0.072 0.062 0.061 0.051 0.050
## Cumulative Var 0.126 0.216 0.304 0.376 0.438 0.499 0.551 0.600
##
## Test of the hypothesis that 8 factors are sufficient.
## The chi square statistic is 63.2 on 70 degrees of freedom.
## The p-value is 0.705MikoPLS1<-plspm(Mikodat1,Path,MikoBlocksM2,mode=MikoModes)
MikoPLS1## Partial Least Squares Path Modeling (PLS-PM)
## ---------------------------------------------
## NAME DESCRIPTION
## 1 $outer_model outer model
## 2 $inner_model inner model
## 3 $path_coefs path coefficients matrix
## 4 $scores latent variable scores
## 5 $crossloadings cross-loadings
## 6 $inner_summary summary inner model
## 7 $effects total effects
## 8 $unidim unidimensionality
## 9 $gof goodness-of-fit
## 10 $boot bootstrap results
## 11 $data data matrix
## ---------------------------------------------
## You can also use the function 'summary'MikoPLS1$unidim## Mode MVs C.alpha DG.rho eig.1st eig.2nd
## UncAv A 3 0.5588746 0.7733204 1.604285 0.8444697
## Indiv A 1 1.0000000 1.0000000 1.000000 0.0000000
## PerRisk A 4 0.6227669 0.7800061 1.889938 0.8293487
## Trust A 3 0.5868617 0.7842781 1.649685 0.7815622
## Intimicy A 3 0.7901873 0.8772905 2.113246 0.4498924
## Hedonism A 2 0.5655420 0.8215381 1.394255 0.6057452
## Stimulation A 2 0.7513041 0.8894044 1.601671 0.3983290
## UseIntention A 3 0.9194859 0.9495350 2.588119 0.3411787MikoPLS1$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.7012693050 0.09632405 -0.14721824 0.16223641
## 2 UA2 UncAv 0.6288618928 0.34255185 -0.04637100 0.17631530
## 3 UA3 UncAv 0.8401514052 0.19750752 -0.18446100 0.18316747
## 4 IC1 Indiv 0.2683768714 1.00000000 -0.02528743 0.10435863
## 5 PR1 PerRisk 0.0009092951 0.23234778 0.47628430 -0.30234031
## 6 PR2 PerRisk -0.2759334362 -0.14669029 0.69822255 -0.09781087
## 7 PR3 PerRisk -0.1317007872 0.01594224 0.89280441 -0.41401551
## 8 PR4 PerRisk 0.1372151094 0.07163833 0.48123152 -0.37504286
## 9 T1 Trust 0.1650847431 0.02021490 -0.28386031 0.60002925
## 10 T2 Trust 0.2370884620 0.13377601 -0.42379791 0.79011675
## 11 T3 Trust 0.1298720835 0.06544755 -0.18979027 0.81351593
## 12 I1 Intimicy 0.1066537381 -0.15167614 0.01224974 0.18776900
## 13 I2 Intimicy 0.0581056245 -0.03290630 0.01856489 0.07255037
## 14 I3 Intimicy -0.0476356183 -0.18758655 -0.06804039 0.10542590
## 15 Hed1 Hedonism 0.1794773692 0.17003342 0.09304751 -0.03254989
## 16 Hed2 Hedonism 0.1534755184 0.18234000 -0.06881089 0.11823646
## 17 Stim1 Stimulation -0.0359367332 0.08021799 0.04591672 0.06966373
## 18 Stim2 Stimulation -0.0839509275 0.19465735 0.01784456 0.14404071
## 19 UI1 UseIntention 0.1438988505 0.06047058 -0.35692325 0.27835660
## 20 UI2 UseIntention 0.1972971323 0.10237026 -0.36530597 0.25737692
## 21 UI3 UseIntention 0.1174319704 0.14208506 -0.30854979 0.24842173
## Intimicy Hedonism Stimulation UseIntention
## 1 0.02479254 0.009470488 -0.015830228 1.472783e-01
## 2 -0.02509951 0.237257131 0.077803204 -6.945035e-05
## 3 0.04556223 0.189753805 -0.159959936 1.804537e-01
## 4 -0.16255691 0.207881162 0.159896632 1.015345e-01
## 5 -0.08359557 0.090493327 -0.025812726 -6.081525e-02
## 6 0.01188806 -0.055384743 0.054062848 -8.910718e-02
## 7 -0.02339402 -0.056142903 0.006456594 -4.350597e-01
## 8 -0.07010487 0.234544767 0.055690109 -2.636892e-01
## 9 0.07197152 0.004245257 -0.068955296 1.188083e-01
## 10 -0.02597994 0.073032254 0.222978992 1.650649e-01
## 11 0.25093828 0.087324847 0.078240341 3.121934e-01
## 12 0.80649445 -0.086801123 -0.047303472 5.348571e-02
## 13 0.79544612 -0.070410838 -0.139422824 1.510999e-01
## 14 0.89833142 0.050372050 -0.073953312 1.376769e-01
## 15 0.03799327 0.685015322 -0.012315685 2.513421e-02
## 16 -0.04788297 0.939589275 0.203848045 2.330367e-01
## 17 -0.09569083 0.167163823 0.871060437 7.787026e-02
## 18 -0.08198512 0.119118381 0.916415586 -6.458722e-04
## 19 0.18402053 0.215624492 0.047089668 9.699613e-01
## 20 0.13955413 0.221259712 0.045831443 9.659424e-01
## 21 0.02344210 0.063611858 0.002782632 8.403763e-01MikoPLS1$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.944421e-16 0.09543835 2.037358e-15 1.0000000
## UncAv -1.857450e-01 0.09543835 -1.946230e+00 0.0542743
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept -1.168075e-17 0.0943973 -1.237403e-16 1.00000000
## UncAv 2.354780e-01 0.0943973 2.494541e+00 0.01415579
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept -2.341494e-18 0.0958367 -2.443212e-17 1.00000000
## Indiv -1.625569e-01 0.0958367 -1.696187e+00 0.09278561
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept 8.075491e-17 0.09500672 8.499915e-16 1.00000000
## Indiv 2.078812e-01 0.09500672 2.188068e+00 0.03086033
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept 3.417772e-17 0.09587891 3.564676e-16 1.00000000
## Indiv 1.598966e-01 0.09587891 1.667694e+00 0.09832832
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept 6.661865e-17 0.08834844 7.540445e-16 1.000000000
## PerRisk -3.174992e-01 0.09666295 -3.284600e+00 0.001400146
## Trust 1.218252e-01 0.09872336 1.234006e+00 0.220036529
## Intimicy 1.184544e-01 0.08999187 1.316279e+00 0.191030719
## Hedonism 1.778203e-01 0.08965458 1.983394e+00 0.050011513
## Stimulation 1.809887e-02 0.09102539 1.988332e-01 0.842789049MikoPLS1$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.4646534 0.7012693 0.4917786 0.000000000
## 2 UA2 UncAv 0.3345186 0.6288619 0.3954673 0.000000000
## 3 UA3 UncAv 0.5520277 0.8401514 0.7058544 0.000000000
## 4 IC1 Indiv 1.0000000 1.0000000 1.0000000 0.000000000
## 5 PR1 PerRisk 0.0706016 0.4762843 0.2268467 0.007826485
## 6 PR2 PerRisk 0.4293333 0.6982225 0.4875147 0.016819845
## 7 PR3 PerRisk 0.6664075 0.8928044 0.7970997 0.027500900
## 8 PR4 PerRisk 0.1488511 0.4812315 0.2315838 0.007989919
## 9 T1 Trust 0.3348806 0.6000293 0.3600351 0.019963899
## 10 T2 Trust 0.4743469 0.7901168 0.6242845 0.034616493
## 11 T3 Trust 0.5215293 0.8135159 0.6618082 0.036697177
## 12 I1 Intimicy 0.3396587 0.8064945 0.6504333 0.017187537
## 13 I2 Intimicy 0.3046344 0.7954461 0.6327345 0.016719851
## 14 I3 Intimicy 0.5384949 0.8983314 0.8069993 0.021324755
## 15 Hed1 Hedonism 0.3724739 0.6850153 0.4692460 0.020278267
## 16 Hed2 Hedonism 0.7927396 0.9395893 0.8828280 0.038151039
## 17 Stim1 Stimulation 0.5010717 0.8710604 0.7587463 0.019398815
## 18 Stim2 Stimulation 0.6149353 0.9164156 0.8398175 0.021471558
## 19 UI1 UseIntention 0.4181914 0.9699613 0.9408250 0.191782000
## 20 UI2 UseIntention 0.3978337 0.9659424 0.9330448 0.190196046
## 21 UI3 UseIntention 0.2499905 0.8403763 0.7062324 0.143961585MikoPLS1$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Indiv 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## PerRisk -0.185745 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Trust 0.235478 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Intimicy 0.000000 -0.1625569 0.0000000 0.0000000 0.0000000 0.0000000
## Hedonism 0.000000 0.2078812 0.0000000 0.0000000 0.0000000 0.0000000
## Stimulation 0.000000 0.1598966 0.0000000 0.0000000 0.0000000 0.0000000
## UseIntention 0.000000 0.0000000 -0.3174992 0.1218252 0.1184544 0.1778203
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.01809887 0MikoPLS1$gof## [1] 0.2021274MikoPLS1$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.00000000 0.00000000
## 2 UncAv -> PerRisk -0.18574500 0.00000000 -0.18574500
## 3 UncAv -> Trust 0.23547796 0.00000000 0.23547796
## 4 UncAv -> Intimicy 0.00000000 0.00000000 0.00000000
## 5 UncAv -> Hedonism 0.00000000 0.00000000 0.00000000
## 6 UncAv -> Stimulation 0.00000000 0.00000000 0.00000000
## 7 UncAv -> UseIntention 0.00000000 0.08766103 0.08766103
## 8 Indiv -> PerRisk 0.00000000 0.00000000 0.00000000
## 9 Indiv -> Trust 0.00000000 0.00000000 0.00000000
## 10 Indiv -> Intimicy -0.16255691 0.00000000 -0.16255691
## 11 Indiv -> Hedonism 0.20788116 0.00000000 0.20788116
## 12 Indiv -> Stimulation 0.15989663 0.00000000 0.15989663
## 13 Indiv -> UseIntention 0.00000000 0.02060386 0.02060386
## 14 PerRisk -> Trust 0.00000000 0.00000000 0.00000000
## 15 PerRisk -> Intimicy 0.00000000 0.00000000 0.00000000
## 16 PerRisk -> Hedonism 0.00000000 0.00000000 0.00000000
## 17 PerRisk -> Stimulation 0.00000000 0.00000000 0.00000000
## 18 PerRisk -> UseIntention -0.31749917 0.00000000 -0.31749917
## 19 Trust -> Intimicy 0.00000000 0.00000000 0.00000000
## 20 Trust -> Hedonism 0.00000000 0.00000000 0.00000000
## 21 Trust -> Stimulation 0.00000000 0.00000000 0.00000000
## 22 Trust -> UseIntention 0.12182518 0.00000000 0.12182518
## 23 Intimicy -> Hedonism 0.00000000 0.00000000 0.00000000
## 24 Intimicy -> Stimulation 0.00000000 0.00000000 0.00000000
## 25 Intimicy -> UseIntention 0.11845441 0.00000000 0.11845441
## 26 Hedonism -> Stimulation 0.00000000 0.00000000 0.00000000
## 27 Hedonism -> UseIntention 0.17782033 0.00000000 0.17782033
## 28 Stimulation -> UseIntention 0.01809887 0.00000000 0.01809887MikoPLS1$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.00000000 0.5310334 0.00000000 0.5310334
## Indiv Exogenous 0.00000000 1.0000000 0.00000000 1.0000000
## PerRisk Endogenous 0.03450120 0.4357612 0.01503429 0.4357612
## Trust Endogenous 0.05544987 0.5487093 0.03042586 0.5487093
## Intimicy Endogenous 0.02642475 0.6967224 0.01841071 0.6967224
## Hedonism Endogenous 0.04321458 0.6760370 0.02921465 0.6760370
## Stimulation Endogenous 0.02556693 0.7992819 0.02043519 0.7992819
## UseIntention Endogenous 0.20384450 0.8600340 0.17531321 0.8600340plot(MikoPLS1)
PLS_Mikodat2
factanal(Mikodat2[,1:24],factors=8, rotation="varimax")##
## Call:
## factanal(x = Mikodat2[, 1:24], factors = 8, rotation = "varimax")
##
## Uniquenesses:
## PR1 PR2 PR3 PR4 T1 T2 T3 I1 I2 I3 UI1 UI2 UI3
## 0.714 0.343 0.450 0.652 0.747 0.362 0.566 0.355 0.443 0.421 0.020 0.114 0.337
## UA1 UA2 UA3 IC1 IC2 IC3 IC4 Hed1 Hed2 Stim1 Stim2
## 0.755 0.581 0.424 0.710 0.005 0.769 0.781 0.760 0.520 0.640 0.005
##
## Loadings:
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## PR1 -0.107 -0.370 0.298 0.213
## PR2 -0.130 -0.150 0.774 -0.111
## PR3 -0.342 -0.540 0.277 0.238
## PR4 -0.183 -0.456 0.184 0.165 0.188
## T1 0.405 -0.102 -0.131 0.214
## T2 0.770 0.141
## T3 0.227 0.551 0.138 0.213
## I1 0.789 0.104
## I2 0.722 -0.133
## I3 0.116 0.745
## UI1 0.958 0.143 0.178
## UI2 0.905 0.155 0.146
## UI3 0.595 -0.351 -0.105 0.410
## UA1 0.120 0.435 -0.166
## UA2 -0.133 0.522 0.104 0.281 0.170
## UA3 0.532 -0.190 0.102 -0.191 0.435
## IC1 -0.123 0.322 0.194 0.294 0.185
## IC2 0.105 0.980 0.104
## IC3 0.203 0.103 0.404
## IC4 -0.164 0.145 0.146 0.212 0.317
## Hed1 -0.159 0.462
## Hed2 0.122 -0.117 0.575 0.182 0.154 -0.235
## Stim1 0.103 0.582
## Stim2 0.985 0.120
##
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## SS loadings 2.407 1.887 1.880 1.710 1.498 1.279 0.973 0.893
## Proportion Var 0.100 0.079 0.078 0.071 0.062 0.053 0.041 0.037
## Cumulative Var 0.100 0.179 0.257 0.329 0.391 0.444 0.485 0.522
##
## Test of the hypothesis that 8 factors are sufficient.
## The chi square statistic is 150.31 on 112 degrees of freedom.
## The p-value is 0.00918MikoPLS2<-plspm(Mikodat2,Path,MikoBlocksM1,mode=MikoModes)
MikoPLS2## Partial Least Squares Path Modeling (PLS-PM)
## ---------------------------------------------
## NAME DESCRIPTION
## 1 $outer_model outer model
## 2 $inner_model inner model
## 3 $path_coefs path coefficients matrix
## 4 $scores latent variable scores
## 5 $crossloadings cross-loadings
## 6 $inner_summary summary inner model
## 7 $effects total effects
## 8 $unidim unidimensionality
## 9 $gof goodness-of-fit
## 10 $boot bootstrap results
## 11 $data data matrix
## ---------------------------------------------
## You can also use the function 'summary'MikoPLS2$unidim## Mode MVs C.alpha DG.rho eig.1st eig.2nd
## UncAv A 3 0.5875157 0.7845491 1.647709 0.7652233
## Indiv A 4 0.4456795 0.6994926 1.567070 0.9985135
## PerRisk A 4 0.6084428 0.7734253 1.854010 0.8459369
## Trust A 3 0.5909316 0.7859737 1.657306 0.7803277
## Intimicy A 3 0.8008077 0.8827815 2.145416 0.4442569
## Hedonism A 2 0.5694901 0.8228726 1.398103 0.6018971
## Stimulation A 2 0.7264259 0.8796722 1.570384 0.4296163
## UseIntention A 3 0.8668279 0.9202148 2.384977 0.5427348MikoPLS2$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.74422388 0.163501790 -0.175413437 0.12983617
## 2 UA2 UncAv 0.62959729 0.355861810 -0.055520219 0.13334570
## 3 UA3 UncAv 0.82388080 0.294612254 -0.196757693 0.14078951
## 4 IC1 Indiv 0.29066290 0.738022178 -0.042653149 0.01453690
## 5 IC2 Indiv 0.16293323 0.779905350 -0.009597520 0.01692256
## 6 IC3 Indiv 0.18601604 0.265894702 0.014757807 0.04843196
## 7 IC4 Indiv 0.25087050 0.579346782 -0.055011877 0.06498165
## 8 PR1 PerRisk -0.02312769 0.095203205 0.501494313 -0.27407766
## 9 PR2 PerRisk -0.27980968 -0.115878495 0.741603703 -0.10490771
## 10 PR3 PerRisk -0.12046121 0.008852151 0.836137606 -0.36051099
## 11 PR4 PerRisk 0.08847867 0.012982823 0.458003970 -0.35133136
## 12 T1 Trust 0.10414337 -0.018717236 -0.262025331 0.67997996
## 13 T2 Trust 0.16268417 0.092166208 -0.380116133 0.75650754
## 14 T3 Trust 0.13489123 0.031912324 -0.144141380 0.78685291
## 15 I1 Intimicy 0.13231949 0.050453013 -0.038148212 0.16759906
## 16 I2 Intimicy 0.08839986 0.110424206 -0.010137830 0.07179753
## 17 I3 Intimicy -0.01886564 -0.005857683 -0.105208879 0.12180144
## 18 Hed1 Hedonism 0.21027252 0.137035222 0.028411546 -0.08414500
## 19 Hed2 Hedonism 0.21099669 0.174883848 -0.035029932 0.06410263
## 20 Stim1 Stimulation 0.01601603 0.081250881 0.042925074 0.04062121
## 21 Stim2 Stimulation -0.04840545 0.207851320 -0.005264527 0.11000593
## 22 UI1 UseIntention 0.11033422 0.079364065 -0.339478641 0.22749416
## 23 UI2 UseIntention 0.17406033 0.125135011 -0.355368730 0.21946712
## 24 UI3 UseIntention -0.09313967 0.020113388 -0.185479746 0.15763516
## Intimicy Hedonism Stimulation UseIntention
## 1 0.052811242 0.102176269 0.040181422 0.05455180
## 2 -0.003556412 0.298709158 0.130057996 -0.10417807
## 3 0.098423828 0.205580102 -0.150382353 0.15069254
## 4 -0.072901015 0.219296149 0.194684978 0.06624889
## 5 0.080360675 0.069764624 0.163916750 0.09927595
## 6 0.129986785 0.055302979 -0.071516101 0.28833403
## 7 0.133991012 0.081381378 0.012290270 -0.13322799
## 8 -0.082219139 0.009973742 -0.027496151 -0.06720149
## 9 -0.024666209 -0.029579144 0.025457059 -0.15097985
## 10 -0.037521723 -0.016821627 0.004543297 -0.37127092
## 11 -0.084557215 0.180816748 0.040006045 -0.19542415
## 12 0.081557190 -0.105379021 -0.064253102 0.18852338
## 13 -0.049522081 -0.000980210 0.178521262 0.12175863
## 14 0.240208339 0.055891418 0.085418845 0.19285842
## 15 0.799608959 -0.083615112 -0.034830229 0.10599583
## 16 0.888226494 -0.021299760 -0.097064641 0.15441435
## 17 0.836241942 -0.027101893 -0.063686248 0.19638437
## 18 0.027199904 0.863696616 0.021477857 -0.03966647
## 19 -0.115590061 0.806190942 0.223375725 0.02439159
## 20 -0.074341474 0.151709657 0.857531009 0.07145185
## 21 -0.073622286 0.096887937 0.911665234 -0.01668919
## 22 0.215115258 0.075296058 0.037977399 0.95169316
## 23 0.168432133 0.096449566 0.044799265 0.92860881
## 24 0.096907879 -0.225090746 -0.018988871 0.78490086MikoPLS2$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept -9.761698e-17 0.08964584 -1.088918e-15 1.00000000
## UncAv -2.089764e-01 0.08964584 -2.331134e+00 0.02142897
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.916219e-18 0.09017287 2.125051e-17 1.00000000
## UncAv 1.799822e-01 0.09017287 1.995968e+00 0.04822092
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept 3.597355e-17 0.09144936 3.933713e-16 1.0000000
## Indiv 6.931626e-02 0.09144936 7.579743e-01 0.4499648
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept -2.269935e-16 0.09009664 -2.519445e-15 1.00000000
## Indiv 1.844693e-01 0.09009664 2.047460e+00 0.04281427
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept -1.645772e-16 0.09032239 -1.822108e-15 1.00000000
## Indiv 1.708277e-01 0.09032239 1.891310e+00 0.06101396
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept 5.501213e-17 0.08600976 6.396033e-16 1.000000000
## PerRisk -2.889405e-01 0.09178408 -3.148046e+00 0.002093975
## Trust 1.041327e-01 0.09295254 1.120278e+00 0.264929495
## Intimicy 1.555047e-01 0.08721375 1.783030e+00 0.077219641
## Hedonism -8.141275e-03 0.08691909 -9.366497e-02 0.925538287
## Stimulation 3.532231e-02 0.08768799 4.028181e-01 0.687829873MikoPLS2$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.4889842 0.7442239 0.55386918 0.000000000
## 2 UA2 UncAv 0.3026908 0.6295973 0.39639275 0.000000000
## 3 UA3 UncAv 0.5407494 0.8238808 0.67877957 0.000000000
## 4 IC1 Indiv 0.5177440 0.7380222 0.54467673 0.000000000
## 5 IC2 Indiv 0.4766761 0.7799054 0.60825236 0.000000000
## 6 IC3 Indiv 0.1727126 0.2658947 0.07069999 0.000000000
## 7 IC4 Indiv 0.3455751 0.5793468 0.33564269 0.000000000
## 8 PR1 PerRisk 0.1096259 0.5014943 0.25149655 0.010983145
## 9 PR2 PerRisk 0.5222433 0.7416037 0.54997605 0.024018090
## 10 PR3 PerRisk 0.5959651 0.8361376 0.69912610 0.030531644
## 11 PR4 PerRisk 0.1297301 0.4580040 0.20976764 0.009160795
## 12 T1 Trust 0.4355063 0.6799800 0.46237274 0.014977912
## 13 T2 Trust 0.4231747 0.7565075 0.57230365 0.018538968
## 14 T3 Trust 0.4876765 0.7868529 0.61913750 0.020056084
## 15 I1 Intimicy 0.3010650 0.7996090 0.63937449 0.003072031
## 16 I2 Intimicy 0.5096197 0.8882265 0.78894631 0.003790685
## 17 I3 Intimicy 0.3666499 0.8362419 0.69930058 0.003359961
## 18 Hed1 Hedonism 0.6449680 0.8636966 0.74597184 0.025384617
## 19 Hed2 Hedonism 0.5494273 0.8061909 0.64994383 0.022116887
## 20 Stim1 Stimulation 0.5002977 0.8575310 0.73535943 0.021459325
## 21 Stim2 Stimulation 0.6263036 0.9116652 0.83113350 0.024254213
## 22 UI1 UseIntention 0.4008108 0.9516932 0.90571988 0.135193945
## 23 UI2 UseIntention 0.3722208 0.9286088 0.86231432 0.128714934
## 24 UI3 UseIntention 0.3476918 0.7849009 0.61606936 0.091958727MikoPLS2$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.00000000 0.0000000 0.0000000 0.0000000 0.000000000
## Indiv 0.0000000 0.00000000 0.0000000 0.0000000 0.0000000 0.000000000
## PerRisk -0.2089764 0.00000000 0.0000000 0.0000000 0.0000000 0.000000000
## Trust 0.1799822 0.00000000 0.0000000 0.0000000 0.0000000 0.000000000
## Intimicy 0.0000000 0.06931626 0.0000000 0.0000000 0.0000000 0.000000000
## Hedonism 0.0000000 0.18446930 0.0000000 0.0000000 0.0000000 0.000000000
## Stimulation 0.0000000 0.17082766 0.0000000 0.0000000 0.0000000 0.000000000
## UseIntention 0.0000000 0.00000000 -0.2889405 0.1041327 0.1555047 -0.008141275
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.03532231 0MikoPLS2$gof## [1] 0.1690388MikoPLS2$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.000000000 0.00000000 0.000000000
## 2 UncAv -> PerRisk -0.208976447 0.00000000 -0.208976447
## 3 UncAv -> Trust 0.179982185 0.00000000 0.179982185
## 4 UncAv -> Intimicy 0.000000000 0.00000000 0.000000000
## 5 UncAv -> Hedonism 0.000000000 0.00000000 0.000000000
## 6 UncAv -> Stimulation 0.000000000 0.00000000 0.000000000
## 7 UncAv -> UseIntention 0.000000000 0.07912380 0.079123796
## 8 Indiv -> PerRisk 0.000000000 0.00000000 0.000000000
## 9 Indiv -> Trust 0.000000000 0.00000000 0.000000000
## 10 Indiv -> Intimicy 0.069316263 0.00000000 0.069316263
## 11 Indiv -> Hedonism 0.184469295 0.00000000 0.184469295
## 12 Indiv -> Stimulation 0.170827662 0.00000000 0.170827662
## 13 Indiv -> UseIntention 0.000000000 0.01531122 0.015311219
## 14 PerRisk -> Trust 0.000000000 0.00000000 0.000000000
## 15 PerRisk -> Intimicy 0.000000000 0.00000000 0.000000000
## 16 PerRisk -> Hedonism 0.000000000 0.00000000 0.000000000
## 17 PerRisk -> Stimulation 0.000000000 0.00000000 0.000000000
## 18 PerRisk -> UseIntention -0.288940542 0.00000000 -0.288940542
## 19 Trust -> Intimicy 0.000000000 0.00000000 0.000000000
## 20 Trust -> Hedonism 0.000000000 0.00000000 0.000000000
## 21 Trust -> Stimulation 0.000000000 0.00000000 0.000000000
## 22 Trust -> UseIntention 0.104132683 0.00000000 0.104132683
## 23 Intimicy -> Hedonism 0.000000000 0.00000000 0.000000000
## 24 Intimicy -> Stimulation 0.000000000 0.00000000 0.000000000
## 25 Intimicy -> UseIntention 0.155504721 0.00000000 0.155504721
## 26 Hedonism -> Stimulation 0.000000000 0.00000000 0.000000000
## 27 Hedonism -> UseIntention -0.008141275 0.00000000 -0.008141275
## 28 Stimulation -> UseIntention 0.035322312 0.00000000 0.035322312MikoPLS2$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.000000000 0.5430138 0.000000000 0.5430138
## Indiv Exogenous 0.000000000 0.3898179 0.000000000 0.3898179
## PerRisk Endogenous 0.043671156 0.4275916 0.018673419 0.4275916
## Trust Endogenous 0.032393587 0.5512713 0.017857655 0.5512713
## Intimicy Endogenous 0.004804744 0.7092071 0.003407559 0.7092071
## Hedonism Endogenous 0.034028921 0.6979578 0.023750752 0.6979578
## Stimulation Endogenous 0.029182090 0.7832465 0.022856769 0.7832465
## UseIntention Endogenous 0.149266841 0.7947012 0.118622535 0.7947012plot(MikoPLS2)
PLS_Mikodat2 only with IC1
factanal(Mikodat2[,c(1:17,21:24)],factors=8, rotation="varimax")##
## Call:
## factanal(x = Mikodat2[, c(1:17, 21:24)], factors = 8, rotation = "varimax")
##
## Uniquenesses:
## PR1 PR2 PR3 PR4 T1 T2 T3 I1 I2 I3 UI1 UI2 UI3
## 0.677 0.369 0.437 0.649 0.734 0.423 0.558 0.333 0.452 0.365 0.107 0.005 0.005
## UA1 UA2 UA3 IC1 Hed1 Hed2 Stim1 Stim2
## 0.735 0.531 0.520 0.704 0.651 0.431 0.640 0.005
##
## Loadings:
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## PR1 -0.410 0.137 0.353
## PR2 -0.118 -0.309 0.712
## PR3 -0.311 -0.585 -0.149 0.315
## PR4 -0.152 -0.477 0.130 0.191 0.110 0.172
## T1 0.401 0.125 -0.147 0.220
## T2 0.720 0.138 0.165
## T3 0.133 0.221 0.544 0.125 0.243
## I1 0.791 0.117 -0.145
## I2 0.722 -0.128
## I3 0.767 -0.127
## UI1 0.891 0.149 0.193 0.183
## UI2 0.967 0.144 0.142
## UI3 0.493 -0.206 0.832
## UA1 0.450 -0.178 -0.106
## UA2 -0.143 0.118 0.577 0.294
## UA3 -0.196 0.618 0.141 -0.119
## IC1 -0.103 0.221 0.457 0.113
## Hed1 -0.140 0.206 0.531
## Hed2 0.139 -0.107 0.180 0.177 0.653 -0.190
## Stim1 0.580
## Stim2 0.991
##
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## SS loadings 2.202 1.880 1.857 1.507 1.454 0.992 0.894 0.886
## Proportion Var 0.105 0.090 0.088 0.072 0.069 0.047 0.043 0.042
## Cumulative Var 0.105 0.194 0.283 0.355 0.424 0.471 0.514 0.556
##
## Test of the hypothesis that 8 factors are sufficient.
## The chi square statistic is 76.66 on 70 degrees of freedom.
## The p-value is 0.274MikoPLS2<-plspm(Mikodat2,Path,MikoBlocksM2,mode=MikoModes)
MikoPLS2## Partial Least Squares Path Modeling (PLS-PM)
## ---------------------------------------------
## NAME DESCRIPTION
## 1 $outer_model outer model
## 2 $inner_model inner model
## 3 $path_coefs path coefficients matrix
## 4 $scores latent variable scores
## 5 $crossloadings cross-loadings
## 6 $inner_summary summary inner model
## 7 $effects total effects
## 8 $unidim unidimensionality
## 9 $gof goodness-of-fit
## 10 $boot bootstrap results
## 11 $data data matrix
## ---------------------------------------------
## You can also use the function 'summary'MikoPLS2$unidim## Mode MVs C.alpha DG.rho eig.1st eig.2nd
## UncAv A 3 0.5875157 0.7845491 1.647709 0.7652233
## Indiv A 1 1.0000000 1.0000000 1.000000 0.0000000
## PerRisk A 4 0.6084428 0.7734253 1.854010 0.8459369
## Trust A 3 0.5909316 0.7859737 1.657306 0.7803277
## Intimicy A 3 0.8008077 0.8827815 2.145416 0.4442569
## Hedonism A 2 0.5694901 0.8228726 1.398103 0.6018971
## Stimulation A 2 0.7264259 0.8796722 1.570384 0.4296163
## UseIntention A 3 0.8668279 0.9202148 2.384977 0.5427348MikoPLS2$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.74440869 0.146807218 -0.175228746 0.12993919
## 2 UA2 UncAv 0.62955255 0.368166117 -0.055310155 0.13338277
## 3 UA3 UncAv 0.82373865 0.198679854 -0.196392471 0.14072682
## 4 IC1 Indiv 0.29064964 1.000000000 -0.042328250 0.01455403
## 5 PR1 PerRisk -0.02314944 0.216651138 0.501911638 -0.27409586
## 6 PR2 PerRisk -0.27979845 -0.167773363 0.740733895 -0.10447989
## 7 PR3 PerRisk -0.12046569 0.028059603 0.836640619 -0.36053715
## 8 PR4 PerRisk 0.08846182 0.034627659 0.458834025 -0.35113527
## 9 T1 Trust 0.10413174 -0.012229055 -0.262171199 0.67850442
## 10 T2 Trust 0.16268241 0.057376350 -0.380456337 0.75677775
## 11 T3 Trust 0.13490346 -0.009058237 -0.144545166 0.78793152
## 12 I1 Intimicy 0.13231525 -0.096781606 -0.038176453 0.16761737
## 13 I2 Intimicy 0.08839115 0.015466374 -0.010224498 0.07210218
## 14 I3 Intimicy -0.01887168 -0.140857597 -0.105294329 0.12191717
## 15 Hed1 Hedonism 0.21023369 0.192988390 0.028650996 -0.08399722
## 16 Hed2 Hedonism 0.21099644 0.172588459 -0.034989735 0.06445018
## 17 Stim1 Stimulation 0.01604613 0.119949008 0.042945572 0.04082316
## 18 Stim2 Stimulation -0.04836310 0.215031120 -0.005293119 0.11028566
## 19 UI1 UseIntention 0.11032324 0.056184386 -0.339758854 0.22757871
## 20 UI2 UseIntention 0.17406340 0.113980688 -0.355504917 0.21960836
## 21 UI3 UseIntention -0.09317931 0.003749294 -0.185443243 0.15724070
## Intimicy Hedonism Stimulation UseIntention
## 1 0.036659602 0.095437739 0.042689472 0.05649285
## 2 -0.008629935 0.288731978 0.126699232 -0.10302062
## 3 0.075790173 0.212613734 -0.144474699 0.15153142
## 4 -0.111454714 0.218958778 0.189930495 0.06683609
## 5 -0.093988441 -0.001544827 -0.026662198 -0.06767152
## 6 -0.039835148 -0.038736993 0.025667236 -0.15082629
## 7 -0.057347387 0.002377516 0.008301362 -0.37256221
## 8 -0.086703395 0.182355367 0.041269175 -0.19627398
## 9 0.105373982 -0.107027883 -0.064676915 0.18742749
## 10 -0.029554481 -0.013084740 0.173456735 0.12202164
## 11 0.230808864 0.041475366 0.082896724 0.19406967
## 12 0.819969943 -0.073457434 -0.041500190 0.10658329
## 13 0.765376788 -0.004042959 -0.090995835 0.15483562
## 14 0.919558869 -0.023910054 -0.067128686 0.19659436
## 15 0.005341664 0.908301004 0.025285481 -0.03848686
## 16 -0.097061698 0.745336698 0.224651387 0.02737671
## 17 -0.092580231 0.137079720 0.881913437 0.07197245
## 18 -0.041207386 0.078061730 0.890236137 -0.01640976
## 19 0.220061567 0.064802595 0.041803821 0.95330404
## 20 0.169114370 0.081863835 0.050928038 0.93082629
## 21 0.104039436 -0.213264313 -0.016296937 0.78060112MikoPLS2$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept -1.438421e-16 0.08965269 -1.604437e-15 1.000000
## UncAv -2.086265e-01 0.08965269 -2.327052e+00 0.021653
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept 8.080451e-19 0.0901724 8.961114e-18 1.00000000
## UncAv 1.800101e-01 0.0901724 1.996288e+00 0.04818564
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept -5.804315e-18 0.0910987 -6.371458e-17 1.0000000
## Indiv -1.114547e-01 0.0910987 -1.223450e+00 0.2235768
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept 2.901214e-16 0.0894454 3.243558e-15 1.00000000
## Indiv 2.189588e-01 0.0894454 2.447960e+00 0.01582609
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept 9.529416e-17 0.09000123 1.058809e-15 1.00000000
## Indiv 1.899305e-01 0.09000123 2.110310e+00 0.03692595
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept -2.157615e-16 0.08599866 -2.508894e-15 1.000000000
## PerRisk -2.875140e-01 0.09180781 -3.131694e+00 0.002204326
## Trust 1.023621e-01 0.09303727 1.100227e+00 0.273530920
## Intimicy 1.534096e-01 0.08732937 1.756678e+00 0.081634408
## Hedonism -9.524868e-03 0.08674811 -1.097991e-01 0.912760047
## Stimulation 4.032723e-02 0.08742921 4.612558e-01 0.645486346MikoPLS2$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.4892498 0.7444087 0.5541443 0.000000000
## 2 UA2 UncAv 0.3026696 0.6295526 0.3963364 0.000000000
## 3 UA3 UncAv 0.5405255 0.8237386 0.6785454 0.000000000
## 4 IC1 Indiv 1.0000000 1.0000000 1.0000000 0.000000000
## 5 PR1 PerRisk 0.1100062 0.5019116 0.2519153 0.010964614
## 6 PR2 PerRisk 0.5210307 0.7407339 0.5486867 0.023881592
## 7 PR3 PerRisk 0.5963757 0.8366406 0.6999675 0.030466090
## 8 PR4 PerRisk 0.1305252 0.4588340 0.2105287 0.009163261
## 9 T1 Trust 0.4335957 0.6785044 0.4603682 0.014917601
## 10 T2 Trust 0.4233062 0.7567777 0.5727126 0.018557964
## 11 T3 Trust 0.4891982 0.7879315 0.6208361 0.020117341
## 12 I1 Intimicy 0.3483826 0.8199699 0.6723507 0.008352043
## 13 I2 Intimicy 0.2387532 0.7653768 0.5858016 0.007276918
## 14 I3 Intimicy 0.5781040 0.9195589 0.8455885 0.010504030
## 15 Hed1 Hedonism 0.7267618 0.9083010 0.8250107 0.039553445
## 16 Hed2 Hedonism 0.4560107 0.7453367 0.5555268 0.026633591
## 17 Stim1 Stimulation 0.5545548 0.8819134 0.7777713 0.028057005
## 18 Stim2 Stimulation 0.5739272 0.8902361 0.7925204 0.028589057
## 19 UI1 UseIntention 0.4033454 0.9533040 0.9087886 0.135851627
## 20 UI2 UseIntention 0.3763875 0.9308263 0.8664376 0.129520722
## 21 UI3 UseIntention 0.3396586 0.7806011 0.6093381 0.091087823MikoPLS2$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.000000000
## Indiv 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.000000000
## PerRisk -0.2086265 0.0000000 0.000000 0.0000000 0.0000000 0.000000000
## Trust 0.1800101 0.0000000 0.000000 0.0000000 0.0000000 0.000000000
## Intimicy 0.0000000 -0.1114547 0.000000 0.0000000 0.0000000 0.000000000
## Hedonism 0.0000000 0.2189588 0.000000 0.0000000 0.0000000 0.000000000
## Stimulation 0.0000000 0.1899305 0.000000 0.0000000 0.0000000 0.000000000
## UseIntention 0.0000000 0.0000000 -0.287514 0.1023621 0.1534096 -0.009524868
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.04032723 0MikoPLS2$gof## [1] 0.1826122MikoPLS2$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.000000000 0.00000000 0.000000000
## 2 UncAv -> PerRisk -0.208626473 0.00000000 -0.208626473
## 3 UncAv -> Trust 0.180010077 0.00000000 0.180010077
## 4 UncAv -> Intimicy 0.000000000 0.00000000 0.000000000
## 5 UncAv -> Hedonism 0.000000000 0.00000000 0.000000000
## 6 UncAv -> Stimulation 0.000000000 0.00000000 0.000000000
## 7 UncAv -> UseIntention 0.000000000 0.07840924 0.078409243
## 8 Indiv -> PerRisk 0.000000000 0.00000000 0.000000000
## 9 Indiv -> Trust 0.000000000 0.00000000 0.000000000
## 10 Indiv -> Intimicy -0.111454714 0.00000000 -0.111454714
## 11 Indiv -> Hedonism 0.218958778 0.00000000 0.218958778
## 12 Indiv -> Stimulation 0.189930495 0.00000000 0.189930495
## 13 Indiv -> UseIntention 0.000000000 -0.01152441 -0.011524405
## 14 PerRisk -> Trust 0.000000000 0.00000000 0.000000000
## 15 PerRisk -> Intimicy 0.000000000 0.00000000 0.000000000
## 16 PerRisk -> Hedonism 0.000000000 0.00000000 0.000000000
## 17 PerRisk -> Stimulation 0.000000000 0.00000000 0.000000000
## 18 PerRisk -> UseIntention -0.287513982 0.00000000 -0.287513982
## 19 Trust -> Intimicy 0.000000000 0.00000000 0.000000000
## 20 Trust -> Hedonism 0.000000000 0.00000000 0.000000000
## 21 Trust -> Stimulation 0.000000000 0.00000000 0.000000000
## 22 Trust -> UseIntention 0.102362131 0.00000000 0.102362131
## 23 Intimicy -> Hedonism 0.000000000 0.00000000 0.000000000
## 24 Intimicy -> Stimulation 0.000000000 0.00000000 0.000000000
## 25 Intimicy -> UseIntention 0.153409595 0.00000000 0.153409595
## 26 Hedonism -> Stimulation 0.000000000 0.00000000 0.000000000
## 27 Hedonism -> UseIntention -0.009524868 0.00000000 -0.009524868
## 28 Stimulation -> UseIntention 0.040327229 0.00000000 0.040327229MikoPLS2$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.00000000 0.5430087 0.000000000 0.5430087
## Indiv Exogenous 0.00000000 1.0000000 0.000000000 1.0000000
## PerRisk Endogenous 0.04352501 0.4277745 0.018618889 0.4277745
## Trust Endogenous 0.03240363 0.5513056 0.017864302 0.5513056
## Intimicy Endogenous 0.01242215 0.7012469 0.008710997 0.7012469
## Hedonism Endogenous 0.04794295 0.6902688 0.033093518 0.6902688
## Stimulation Endogenous 0.03607359 0.7851458 0.028323031 0.7851458
## UseIntention Endogenous 0.14948650 0.7948548 0.118820057 0.7948548plot(MikoPLS2)
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Model Analysis with PLS-Regression
Comparison of Germany vs Japan
we analyze the same four model specifications for differences between GER and JAP
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Comparison Ger vs Jap (Mikodat3)
MikoPLS3<-plspm(Mikodat3,Path,MikoBlocksM1,mode=MikoModes)
MikoPLS3## Partial Least Squares Path Modeling (PLS-PM)
## ---------------------------------------------
## NAME DESCRIPTION
## 1 $outer_model outer model
## 2 $inner_model inner model
## 3 $path_coefs path coefficients matrix
## 4 $scores latent variable scores
## 5 $crossloadings cross-loadings
## 6 $inner_summary summary inner model
## 7 $effects total effects
## 8 $unidim unidimensionality
## 9 $gof goodness-of-fit
## 10 $boot bootstrap results
## 11 $data data matrix
## ---------------------------------------------
## You can also use the function 'summary'MikoPLS3$unidim## Mode MVs C.alpha DG.rho eig.1st eig.2nd
## UncAv A 3 0.5716761 0.7784124 1.624871 0.8254455
## Indiv A 4 0.4047674 0.6756363 1.520784 1.0074648
## PerRisk A 4 0.6308674 0.7836872 1.910041 0.8199958
## Trust A 3 0.5845218 0.7832769 1.644050 0.7733133
## Intimicy A 3 0.7962863 0.8804326 2.131577 0.4439389
## Hedonism A 2 0.5670551 0.8220490 1.395727 0.6042729
## Stimulation A 2 0.7570138 0.8916684 1.609028 0.3909717
## UseIntention A 3 0.9200068 0.9498294 2.590276 0.3376396MikoPLS3$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.6887044110 0.14004039 -0.125587929 0.187088305
## 2 UA2 UncAv 0.6631692902 0.34146835 -0.072859694 0.186995122
## 3 UA3 UncAv 0.8397541227 0.28050008 -0.190146801 0.195890854
## 4 IC1 Indiv 0.2756586353 0.68801640 -0.036701493 0.119208354
## 5 IC2 Indiv 0.1680820874 0.76241646 0.008545487 0.058998668
## 6 IC3 Indiv 0.2080256633 0.19553966 0.043423135 0.052906579
## 7 IC4 Indiv 0.2283171391 0.65302014 -0.026686257 0.097967162
## 8 PR1 PerRisk -0.0009246478 0.08437502 0.474384387 -0.307106110
## 9 PR2 PerRisk -0.2660971288 -0.10784796 0.687085060 -0.134735735
## 10 PR3 PerRisk -0.1359590338 0.01063328 0.903451458 -0.425763447
## 11 PR4 PerRisk 0.1435688839 0.10129562 0.485878310 -0.382641159
## 12 T1 Trust 0.1698263727 0.01490214 -0.279141732 0.607880911
## 13 T2 Trust 0.2589418670 0.16876879 -0.452608438 0.791173094
## 14 T3 Trust 0.1436668385 0.09204334 -0.204442240 0.803297809
## 15 I1 Intimicy 0.1012599330 0.03716186 0.015036974 0.197150467
## 16 I2 Intimicy 0.0500531219 0.12811677 0.037189485 0.068968392
## 17 I3 Intimicy -0.0702252689 -0.06239780 -0.061434726 0.142180855
## 18 Hed1 Hedonism 0.1737290056 0.12113921 0.088445646 -0.009860057
## 19 Hed2 Hedonism 0.1546422814 0.13677779 -0.082569366 0.116271513
## 20 Stim1 Stimulation -0.0387641981 0.07221021 0.036989730 0.059868839
## 21 Stim2 Stimulation -0.0719655821 0.17405580 -0.013506711 0.129646348
## 22 UI1 UseIntention 0.1353894796 0.05073726 -0.362052162 0.296717780
## 23 UI2 UseIntention 0.1874685385 0.06382891 -0.374223136 0.278451556
## 24 UI3 UseIntention 0.1182315339 0.12688921 -0.305346763 0.262143459
## Intimicy Hedonism Stimulation UseIntention
## 1 0.03744178 0.01400722 0.007976786 0.14164883
## 2 -0.03142397 0.24392185 0.065922557 0.01127109
## 3 0.08692445 0.16413771 -0.168317923 0.17384054
## 4 -0.09293811 0.20795740 0.159971448 0.09764991
## 5 0.09316364 0.06125292 0.131853419 0.09747609
## 6 0.12141268 0.07271924 -0.109526748 0.21242556
## 7 0.17195099 0.03580230 0.048174437 -0.10135949
## 8 -0.06564467 0.07487542 -0.040429846 -0.05792729
## 9 0.05048068 -0.04873019 0.028533758 -0.08178393
## 10 0.02375508 -0.08448837 -0.009416656 -0.44530956
## 11 -0.08414513 0.26307427 0.058267725 -0.25159122
## 12 0.02564332 -0.00252448 -0.080192158 0.13918885
## 13 -0.04425682 0.09133485 0.210322621 0.18455582
## 14 0.26556160 0.09656705 0.068190845 0.32088251
## 15 0.74941761 -0.09653507 -0.049594864 0.06292815
## 16 0.95930456 -0.08243263 -0.139722379 0.15504380
## 17 0.71455661 0.02399261 -0.062934109 0.12043029
## 18 0.04346471 0.65223733 -0.014010006 0.02190244
## 19 -0.11580737 0.95424465 0.197807551 0.22566217
## 20 -0.08484797 0.15336735 0.871079151 0.08100922
## 21 -0.13276852 0.13395878 0.920060929 0.01814131
## 22 0.18413030 0.21411187 0.058799131 0.96804126
## 23 0.14943609 0.21684517 0.056549286 0.96492005
## 24 0.04844300 0.07551395 0.018156742 0.84615289MikoPLS3$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.829265e-17 0.09778841 1.870635e-16 1.00000000
## UncAv -1.848785e-01 0.09778841 -1.890597e+00 0.06154446
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.271163e-16 0.0961702 1.321785e-15 1.000000000
## UncAv 2.566720e-01 0.0961702 2.668935e+00 0.008866874
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept 8.606107e-17 0.09906607 8.687240e-16 1.0000000
## Indiv 9.368686e-02 0.09906607 9.457007e-01 0.3465582
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept 2.396182e-17 0.09834234 2.436572e-16 1.0000000
## Indiv 1.523392e-01 0.09834234 1.549070e+00 0.1244926
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept -3.085651e-17 0.09847462 -3.133448e-16 1.0000000
## Indiv 1.434491e-01 0.09847462 1.456711e+00 0.1482981
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept -5.214774e-17 0.08981199 -5.806324e-16 1.000000000
## PerRisk -3.198494e-01 0.09950864 -3.214287e+00 0.001776173
## Trust 1.272876e-01 0.10134745 1.255953e+00 0.212149702
## Intimicy 1.570856e-01 0.09201712 1.707135e+00 0.090996153
## Hedonism 1.767292e-01 0.09148903 1.931698e+00 0.056315243
## Stimulation 3.188407e-02 0.09239746 3.450752e-01 0.730784952MikoPLS3$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.43924513 0.6887044 0.47431377 0.000000000
## 2 UA2 UncAv 0.36504677 0.6631693 0.43979351 0.000000000
## 3 UA3 UncAv 0.54230414 0.8397541 0.70518699 0.000000000
## 4 IC1 Indiv 0.46530240 0.6880164 0.47336657 0.000000000
## 5 IC2 Indiv 0.48427863 0.7624165 0.58127886 0.000000000
## 6 IC3 Indiv 0.14325259 0.1955397 0.03823576 0.000000000
## 7 IC4 Indiv 0.43280558 0.6530201 0.42643530 0.000000000
## 8 PR1 PerRisk 0.06968949 0.4743844 0.22504055 0.007691898
## 9 PR2 PerRisk 0.41190016 0.6870851 0.47208588 0.016135920
## 10 PR3 PerRisk 0.68823264 0.9034515 0.81622454 0.027898597
## 11 PR4 PerRisk 0.12790274 0.4858783 0.23607773 0.008069149
## 12 T1 Trust 0.33886683 0.6078809 0.36951920 0.024344118
## 13 T2 Trust 0.48634336 0.7911731 0.62595486 0.041238233
## 14 T3 Trust 0.50943441 0.8032978 0.64528737 0.042511869
## 15 I1 Intimicy 0.25797709 0.7494176 0.56162675 0.004929526
## 16 I2 Intimicy 0.72935714 0.9593046 0.92026524 0.008077377
## 17 I3 Intimicy 0.14973174 0.7145566 0.51059114 0.004481575
## 18 Hed1 Hedonism 0.32560690 0.6522373 0.42541354 0.009872672
## 19 Hed2 Hedonism 0.82539318 0.9542446 0.91058284 0.021132111
## 20 Stim1 Stimulation 0.49394952 0.8710792 0.75877889 0.015613875
## 21 Stim2 Stimulation 0.61923168 0.9200609 0.84651211 0.017419217
## 22 UI1 UseIntention 0.41046897 0.9680413 0.93710389 0.203894403
## 23 UI2 UseIntention 0.39563843 0.9649201 0.93107071 0.202581707
## 24 UI3 UseIntention 0.26105169 0.8461529 0.71597471 0.155781272MikoPLS3$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.00000000 0.0000000 0.0000000 0.0000000 0.0000000
## Indiv 0.0000000 0.00000000 0.0000000 0.0000000 0.0000000 0.0000000
## PerRisk -0.1848785 0.00000000 0.0000000 0.0000000 0.0000000 0.0000000
## Trust 0.2566720 0.00000000 0.0000000 0.0000000 0.0000000 0.0000000
## Intimicy 0.0000000 0.09368686 0.0000000 0.0000000 0.0000000 0.0000000
## Hedonism 0.0000000 0.15233921 0.0000000 0.0000000 0.0000000 0.0000000
## Stimulation 0.0000000 0.14344907 0.0000000 0.0000000 0.0000000 0.0000000
## UseIntention 0.0000000 0.00000000 -0.3198494 0.1272876 0.1570856 0.1767292
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.03188407 0MikoPLS3$gof## [1] 0.1900315MikoPLS3$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.00000000 0.00000000
## 2 UncAv -> PerRisk -0.18487848 0.00000000 -0.18487848
## 3 UncAv -> Trust 0.25667201 0.00000000 0.25667201
## 4 UncAv -> Intimicy 0.00000000 0.00000000 0.00000000
## 5 UncAv -> Hedonism 0.00000000 0.00000000 0.00000000
## 6 UncAv -> Stimulation 0.00000000 0.00000000 0.00000000
## 7 UncAv -> UseIntention 0.00000000 0.09180444 0.09180444
## 8 Indiv -> PerRisk 0.00000000 0.00000000 0.00000000
## 9 Indiv -> Trust 0.00000000 0.00000000 0.00000000
## 10 Indiv -> Intimicy 0.09368686 0.00000000 0.09368686
## 11 Indiv -> Hedonism 0.15233921 0.00000000 0.15233921
## 12 Indiv -> Stimulation 0.14344907 0.00000000 0.14344907
## 13 Indiv -> UseIntention 0.00000000 0.04621338 0.04621338
## 14 PerRisk -> Trust 0.00000000 0.00000000 0.00000000
## 15 PerRisk -> Intimicy 0.00000000 0.00000000 0.00000000
## 16 PerRisk -> Hedonism 0.00000000 0.00000000 0.00000000
## 17 PerRisk -> Stimulation 0.00000000 0.00000000 0.00000000
## 18 PerRisk -> UseIntention -0.31984937 0.00000000 -0.31984937
## 19 Trust -> Intimicy 0.00000000 0.00000000 0.00000000
## 20 Trust -> Hedonism 0.00000000 0.00000000 0.00000000
## 21 Trust -> Stimulation 0.00000000 0.00000000 0.00000000
## 22 Trust -> UseIntention 0.12728764 0.00000000 0.12728764
## 23 Intimicy -> Hedonism 0.00000000 0.00000000 0.00000000
## 24 Intimicy -> Stimulation 0.00000000 0.00000000 0.00000000
## 25 Intimicy -> UseIntention 0.15708564 0.00000000 0.15708564
## 26 Hedonism -> Stimulation 0.00000000 0.00000000 0.00000000
## 27 Hedonism -> UseIntention 0.17672916 0.00000000 0.17672916
## 28 Stimulation -> UseIntention 0.03188407 0.00000000 0.03188407MikoPLS3$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.000000000 0.5397648 0.000000000 0.5397648
## Indiv Exogenous 0.000000000 0.3798291 0.000000000 0.3798291
## PerRisk Endogenous 0.034180052 0.4373572 0.014948891 0.4373572
## Trust Endogenous 0.065880522 0.5469205 0.036031406 0.5469205
## Intimicy Endogenous 0.008777228 0.6641610 0.005829493 0.6641610
## Hedonism Endogenous 0.023207236 0.6679982 0.015502392 0.6679982
## Stimulation Endogenous 0.020577634 0.8026455 0.016516546 0.8026455
## UseIntention Endogenous 0.217579294 0.8613831 0.187419128 0.8613831plot(MikoPLS3)
Mikodat3df<-as.data.frame.array(Mikodat3)
plspm.groups(MikoPLS3,factor(Mikodat3df$Nat))## GROUP COMPARISON IN PLS-PM FOR PATH COEFFICIENTS
##
## Scale of Data: TRUE
## Weighting Scheme: centroid
## Selected method: bootstrap
## Num of replicates: 100
##
## $test
## global group.1 group.2 diff.abs t.stat deg.fr
## UncAv->PerRisk -0.1849 -0.4098 -0.1184 0.2913 0.2356 101
## UncAv->Trust 0.2567 0.3778 0.1511 0.2267 0.9937 101
## Indiv->Intimicy 0.0937 0.2966 -0.4296 0.7262 0.9771 101
## Indiv->Hedonism 0.1523 0.1358 0.1795 0.0437 0.6204 101
## Indiv->Stimulation 0.1434 0.3362 0.1795 0.1567 0.0157 101
## PerRisk->UseIntention -0.3198 -0.3416 -0.3104 0.0312 0.6837 101
## Trust->UseIntention 0.1273 0.1592 0.2331 0.0738 0.2018 101
## Intimicy->UseIntention 0.1571 0.3819 0.1167 0.2653 1.2157 101
## Hedonism->UseIntention 0.1767 0.2069 0.1441 0.0628 0.0081 101
## Stimulation->UseIntention 0.0319 -0.0891 0.0489 0.1380 0.3534 101
## p.value sig.05
## UncAv->PerRisk 0.4071 no
## UncAv->Trust 0.1614 no
## Indiv->Intimicy 0.1654 no
## Indiv->Hedonism 0.2682 no
## Indiv->Stimulation 0.4938 no
## PerRisk->UseIntention 0.2479 no
## Trust->UseIntention 0.4203 no
## Intimicy->UseIntention 0.1135 no
## Hedonism->UseIntention 0.4968 no
## Stimulation->UseIntention 0.3623 no
##
## Inner models in the following objects:
## $global
## $group1
## $group2Comparison Ger vs Jap (Mikodat3) with only IC1
MikoPLS3<-plspm(Mikodat3,Path,MikoBlocksM2,mode=MikoModes)
MikoPLS3## Partial Least Squares Path Modeling (PLS-PM)
## ---------------------------------------------
## NAME DESCRIPTION
## 1 $outer_model outer model
## 2 $inner_model inner model
## 3 $path_coefs path coefficients matrix
## 4 $scores latent variable scores
## 5 $crossloadings cross-loadings
## 6 $inner_summary summary inner model
## 7 $effects total effects
## 8 $unidim unidimensionality
## 9 $gof goodness-of-fit
## 10 $boot bootstrap results
## 11 $data data matrix
## ---------------------------------------------
## You can also use the function 'summary'MikoPLS3$unidim## Mode MVs C.alpha DG.rho eig.1st eig.2nd
## UncAv A 3 0.5716761 0.7784124 1.624871 0.8254455
## Indiv A 1 1.0000000 1.0000000 1.000000 0.0000000
## PerRisk A 4 0.6308674 0.7836872 1.910041 0.8199958
## Trust A 3 0.5845218 0.7832769 1.644050 0.7733133
## Intimicy A 3 0.7962863 0.8804326 2.131577 0.4439389
## Hedonism A 2 0.5670551 0.8220490 1.395727 0.6042729
## Stimulation A 2 0.7570138 0.8916684 1.609028 0.3909717
## UseIntention A 3 0.9200068 0.9498294 2.590276 0.3376396MikoPLS3$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.6887343650 0.110130026 -0.12555376 0.18708621
## 2 UA2 UncAv 0.6631675776 0.336403789 -0.07278611 0.18696783
## 3 UA3 UncAv 0.8397310119 0.192662077 -0.19004363 0.19587317
## 4 IC1 Indiv 0.2756579170 1.000000000 -0.03656104 0.11920654
## 5 PR1 PerRisk -0.0009253654 0.231535036 0.47464258 -0.30709134
## 6 PR2 PerRisk -0.2660921442 -0.164758689 0.68682346 -0.13468228
## 7 PR3 PerRisk -0.1359592164 0.009207453 0.90356356 -0.42574481
## 8 PR4 PerRisk 0.1435685891 0.067943889 0.48597612 -0.38259055
## 9 T1 Trust 0.1698257345 0.042396188 -0.27919880 0.60769752
## 10 T2 Trust 0.2589433933 0.143055532 -0.45266469 0.79115080
## 11 T3 Trust 0.1436684596 0.069228902 -0.20456324 0.80344100
## 12 I1 Intimicy 0.1012593647 -0.149547297 0.01500592 0.19717826
## 13 I2 Intimicy 0.0500503847 -0.031962881 0.03715425 0.06902900
## 14 I3 Intimicy -0.0702253168 -0.207344010 -0.06149286 0.14221837
## 15 Hed1 Hedonism 0.1737199331 0.175602850 0.08849099 -0.00984553
## 16 Hed2 Hedonism 0.1546406462 0.182676456 -0.08252800 0.11628705
## 17 Stim1 Stimulation -0.0387594962 0.080912576 0.03695978 0.05988957
## 18 Stim2 Stimulation -0.0719570350 0.193796157 -0.01351689 0.12966598
## 19 UI1 UseIntention 0.1353878892 0.055530098 -0.36212289 0.29675163
## 20 UI2 UseIntention 0.1874686484 0.097596068 -0.37425263 0.27849166
## 21 UI3 UseIntention 0.1182302749 0.138837551 -0.30536857 0.26214812
## Intimicy Hedonism Stimulation UseIntention
## 1 0.010261808 0.011572880 0.007863304 0.14166099
## 2 -0.025371513 0.244250596 0.066591178 0.01104949
## 3 0.032273163 0.172312136 -0.169328185 0.17387282
## 4 -0.171255254 0.210456911 0.161209857 0.09725447
## 5 -0.097212489 0.071345051 -0.040716200 -0.05811954
## 6 0.039365549 -0.049994731 0.027619538 -0.08147756
## 7 -0.022624613 -0.072460782 -0.009775871 -0.44551128
## 8 -0.078490941 0.267091532 0.058564149 -0.25159670
## 9 0.068974873 -0.004519638 -0.079591985 0.13898866
## 10 -0.002671026 0.085146489 0.210828210 0.18452039
## 11 0.279110055 0.093900912 0.068797903 0.32106348
## 12 0.813225571 -0.093305104 -0.048070875 0.06337497
## 13 0.800140581 -0.074008033 -0.141077776 0.15541984
## 14 0.899507296 0.023200099 -0.062229693 0.12097571
## 15 0.015875622 0.691450995 -0.014616367 0.02197089
## 16 -0.061360342 0.937076500 0.197645191 0.22615171
## 17 -0.103483144 0.147300548 0.865882842 0.08108760
## 18 -0.067356424 0.125184028 0.924117198 0.01828930
## 19 0.179339961 0.206062567 0.058296379 0.96867069
## 20 0.132223496 0.207985996 0.055395477 0.96517761
## 21 0.025500112 0.072672512 0.017711722 0.84475769MikoPLS3$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept -5.980827e-17 0.09779028 -6.115973e-16 1.00000000
## UncAv -1.847788e-01 0.09779028 -1.889542e+00 0.06168712
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.584330e-16 0.09617071 1.647414e-15 1.000000000
## UncAv 2.566529e-01 0.09617071 2.668722e+00 0.008872116
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.263296e-16 0.09803372 1.288634e-15 1.00000000
## Indiv -1.712553e-01 0.09803372 -1.746902e+00 0.08369427
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept -3.511311e-17 0.09727515 -3.609669e-16 1.00000000
## Indiv 2.104569e-01 0.09727515 2.163522e+00 0.03285939
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept 5.805839e-17 0.09820223 5.912125e-16 1.000000
## Indiv 1.612099e-01 0.09820223 1.641611e+00 0.103781
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.580940e-16 0.09049633 1.746966e-15 1.000000000
## PerRisk -3.140717e-01 0.10007323 -3.138419e+00 0.002250368
## Trust 1.325839e-01 0.10253918 1.293007e+00 0.199079713
## Intimicy 1.155449e-01 0.09261788 1.247544e+00 0.215201640
## Hedonism 1.659831e-01 0.09185418 1.807028e+00 0.073858009
## Stimulation 2.463172e-02 0.09271735 2.656646e-01 0.791061328MikoPLS3$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.43928757 0.6887344 0.4743550 0.000000000
## 2 UA2 UncAv 0.36505390 0.6631676 0.4397912 0.000000000
## 3 UA3 UncAv 0.54226370 0.8397310 0.7051482 0.000000000
## 4 IC1 Indiv 1.00000000 1.0000000 1.0000000 0.000000000
## 5 PR1 PerRisk 0.06999781 0.4746426 0.2252856 0.007691973
## 6 PR2 PerRisk 0.41151101 0.6868235 0.4717265 0.016106257
## 7 PR3 PerRisk 0.68833491 0.9035636 0.8164271 0.027875444
## 8 PR4 PerRisk 0.12796164 0.4859761 0.2361728 0.008063698
## 9 T1 Trust 0.33863730 0.6076975 0.3692963 0.024325807
## 10 T2 Trust 0.48628853 0.7911508 0.6259196 0.041229766
## 11 T3 Trust 0.50966205 0.8034410 0.6455174 0.042520691
## 12 I1 Intimicy 0.34430446 0.8132256 0.6613358 0.019395897
## 13 I2 Intimicy 0.30300625 0.8001406 0.6402249 0.018776749
## 14 I3 Intimicy 0.53090755 0.8995073 0.8091134 0.023729970
## 15 Hed1 Hedonism 0.38015701 0.6914510 0.4781045 0.021176257
## 16 Hed2 Hedonism 0.78663808 0.9370765 0.8781124 0.038893451
## 17 Stim1 Stimulation 0.48176245 0.8658828 0.7497531 0.019485047
## 18 Stim2 Stimulation 0.63071022 0.9241172 0.8539926 0.022194087
## 19 UI1 UseIntention 0.41493893 0.9686707 0.9383229 0.192928769
## 20 UI2 UseIntention 0.39453541 0.9651776 0.9315678 0.191539853
## 21 UI3 UseIntention 0.25719100 0.8447577 0.7136155 0.146726641MikoPLS3$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Indiv 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## PerRisk -0.1847788 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Trust 0.2566529 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Intimicy 0.0000000 -0.1712553 0.0000000 0.0000000 0.0000000 0.0000000
## Hedonism 0.0000000 0.2104569 0.0000000 0.0000000 0.0000000 0.0000000
## Stimulation 0.0000000 0.1612099 0.0000000 0.0000000 0.0000000 0.0000000
## UseIntention 0.0000000 0.0000000 -0.3140717 0.1325839 0.1155449 0.1659831
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.02463172 0MikoPLS3$gof## [1] 0.2067967MikoPLS3$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.00000000 0.00000000
## 2 UncAv -> PerRisk -0.18477882 0.00000000 -0.18477882
## 3 UncAv -> Trust 0.25665289 0.00000000 0.25665289
## 4 UncAv -> Intimicy 0.00000000 0.00000000 0.00000000
## 5 UncAv -> Hedonism 0.00000000 0.00000000 0.00000000
## 6 UncAv -> Stimulation 0.00000000 0.00000000 0.00000000
## 7 UncAv -> UseIntention 0.00000000 0.09206184 0.09206184
## 8 Indiv -> PerRisk 0.00000000 0.00000000 0.00000000
## 9 Indiv -> Trust 0.00000000 0.00000000 0.00000000
## 10 Indiv -> Intimicy -0.17125525 0.00000000 -0.17125525
## 11 Indiv -> Hedonism 0.21045691 0.00000000 0.21045691
## 12 Indiv -> Stimulation 0.16120986 0.00000000 0.16120986
## 13 Indiv -> UseIntention 0.00000000 0.01911550 0.01911550
## 14 PerRisk -> Trust 0.00000000 0.00000000 0.00000000
## 15 PerRisk -> Intimicy 0.00000000 0.00000000 0.00000000
## 16 PerRisk -> Hedonism 0.00000000 0.00000000 0.00000000
## 17 PerRisk -> Stimulation 0.00000000 0.00000000 0.00000000
## 18 PerRisk -> UseIntention -0.31407172 0.00000000 -0.31407172
## 19 Trust -> Intimicy 0.00000000 0.00000000 0.00000000
## 20 Trust -> Hedonism 0.00000000 0.00000000 0.00000000
## 21 Trust -> Stimulation 0.00000000 0.00000000 0.00000000
## 22 Trust -> UseIntention 0.13258390 0.00000000 0.13258390
## 23 Intimicy -> Hedonism 0.00000000 0.00000000 0.00000000
## 24 Intimicy -> Stimulation 0.00000000 0.00000000 0.00000000
## 25 Intimicy -> UseIntention 0.11554486 0.00000000 0.11554486
## 26 Hedonism -> Stimulation 0.00000000 0.00000000 0.00000000
## 27 Hedonism -> UseIntention 0.16598311 0.00000000 0.16598311
## 28 Stimulation -> UseIntention 0.02463172 0.00000000 0.02463172MikoPLS3$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.00000000 0.5397648 0.00000000 0.5397648
## Indiv Exogenous 0.00000000 1.0000000 0.00000000 1.0000000
## PerRisk Endogenous 0.03414321 0.4374030 0.01493434 0.4374030
## Trust Endogenous 0.06587071 0.5469111 0.03602542 0.5469111
## Intimicy Endogenous 0.02932836 0.7035581 0.02063421 0.7035581
## Hedonism Endogenous 0.04429211 0.6781084 0.03003485 0.6781084
## Stimulation Endogenous 0.02598862 0.8018728 0.02083957 0.8018728
## UseIntention Endogenous 0.20561021 0.8611688 0.17706509 0.8611688plot(MikoPLS3)
Mikodat3df<-as.data.frame.array(Mikodat3)
plspm.groups(MikoPLS3,factor(Mikodat3df$Nat))## GROUP COMPARISON IN PLS-PM FOR PATH COEFFICIENTS
##
## Scale of Data: TRUE
## Weighting Scheme: centroid
## Selected method: bootstrap
## Num of replicates: 100
##
## $test
## global group.1 group.2 diff.abs t.stat deg.fr
## UncAv->PerRisk -0.1848 -0.4101 -0.1184 0.2916 0.3305 101
## UncAv->Trust 0.2567 0.3780 0.1511 0.2269 0.8307 101
## Indiv->Intimicy -0.1713 0.1569 -0.4139 0.5708 2.6794 101
## Indiv->Hedonism 0.2105 0.2699 0.1471 0.1228 0.6701 101
## Indiv->Stimulation 0.1612 0.3813 0.0423 0.3390 1.7860 101
## PerRisk->UseIntention -0.3141 -0.3397 -0.3098 0.0299 0.5147 101
## Trust->UseIntention 0.1326 0.1594 0.2323 0.0729 0.0074 101
## Intimicy->UseIntention 0.1155 0.3802 0.1152 0.2650 1.3695 101
## Hedonism->UseIntention 0.1660 0.1922 0.1451 0.0472 0.0835 101
## Stimulation->UseIntention 0.0246 -0.0816 0.0475 0.1290 0.3643 101
## p.value sig.05
## UncAv->PerRisk 0.3708 no
## UncAv->Trust 0.2041 no
## Indiv->Intimicy 0.0043 yes
## Indiv->Hedonism 0.2522 no
## Indiv->Stimulation 0.0385 yes
## PerRisk->UseIntention 0.3040 no
## Trust->UseIntention 0.4971 no
## Intimicy->UseIntention 0.0869 no
## Hedonism->UseIntention 0.4668 no
## Stimulation->UseIntention 0.3582 no
##
## Inner models in the following objects:
## $global
## $group1
## $group2Comparison Ger vs Jap (Mikodat4)
MikoPLS4<-plspm(Mikodat4,Path,MikoBlocksM1,mode=MikoModes)
MikoPLS4## Partial Least Squares Path Modeling (PLS-PM)
## ---------------------------------------------
## NAME DESCRIPTION
## 1 $outer_model outer model
## 2 $inner_model inner model
## 3 $path_coefs path coefficients matrix
## 4 $scores latent variable scores
## 5 $crossloadings cross-loadings
## 6 $inner_summary summary inner model
## 7 $effects total effects
## 8 $unidim unidimensionality
## 9 $gof goodness-of-fit
## 10 $boot bootstrap results
## 11 $data data matrix
## ---------------------------------------------
## You can also use the function 'summary'MikoPLS4$unidim## Mode MVs C.alpha DG.rho eig.1st eig.2nd
## UncAv A 3 0.5987230 0.7891386 1.667415 0.7470430
## Indiv A 4 0.4382405 0.6950144 1.561522 1.0024285
## PerRisk A 4 0.6152651 0.7764684 1.870176 0.8405850
## Trust A 3 0.5885505 0.7849521 1.651719 0.7734376
## Intimicy A 3 0.8064607 0.8857311 2.162929 0.4382123
## Hedonism A 2 0.5689651 0.8226949 1.397590 0.6024101
## Stimulation A 2 0.7312140 0.8815287 1.576310 0.4236901
## UseIntention A 3 0.8672799 0.9204365 2.386366 0.5400617MikoPLS4$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.72991266 0.183399531 -0.154157448 0.14834037
## 2 UA2 UncAv 0.66560399 0.361122005 -0.079880138 0.14227691
## 3 UA3 UncAv 0.82522028 0.282859515 -0.202015292 0.14995549
## 4 IC1 Indiv 0.29947479 0.743935168 -0.053337899 0.02719412
## 5 IC2 Indiv 0.17416597 0.764286141 -0.025555124 0.01354698
## 6 IC3 Indiv 0.18094110 0.229622948 0.032990478 0.04769153
## 7 IC4 Indiv 0.24835797 0.602374142 -0.052022737 0.08697327
## 8 PR1 PerRisk -0.02338890 0.087696810 0.501591474 -0.27731492
## 9 PR2 PerRisk -0.26952045 -0.128357114 0.731183001 -0.13275314
## 10 PR3 PerRisk -0.12354605 -0.003214801 0.846049817 -0.36842374
## 11 PR4 PerRisk 0.09435356 0.031549443 0.463473240 -0.35860800
## 12 T1 Trust 0.10615757 -0.004083975 -0.256839135 0.67797980
## 13 T2 Trust 0.18141395 0.106947214 -0.408233290 0.76173906
## 14 T3 Trust 0.14777362 0.030752667 -0.156805392 0.78117095
## 15 I1 Intimicy 0.12789982 0.060546235 -0.035452961 0.17308699
## 16 I2 Intimicy 0.08229014 0.117648593 0.007997643 0.06513935
## 17 I3 Intimicy -0.03799260 -0.023206330 -0.096399751 0.15198837
## 18 Hed1 Hedonism 0.20795687 0.136958554 0.023854715 -0.06604330
## 19 Hed2 Hedonism 0.21482792 0.161756821 -0.047819054 0.06230740
## 20 Stim1 Stimulation 0.01481396 0.078981071 0.035033143 0.03108903
## 21 Stim2 Stimulation -0.03486959 0.214164895 -0.036456970 0.09942094
## 22 UI1 UseIntention 0.10036876 0.053549725 -0.342623836 0.24364364
## 23 UI2 UseIntention 0.16284884 0.097300189 -0.362513999 0.23956722
## 24 UI3 UseIntention -0.09668600 0.003685942 -0.180734662 0.16272920
## Intimicy Hedonism Stimulation UseIntention
## 1 0.047670443 0.10197410 0.0620586988 0.052279036
## 2 0.001935868 0.30108604 0.1214311195 -0.094088138
## 3 0.097808232 0.19361228 -0.1595263347 0.146622970
## 4 -0.070369113 0.22218257 0.1970385931 0.063394888
## 5 0.088427831 0.05558582 0.1581016177 0.094190284
## 6 0.127290070 0.03481967 -0.0636804534 0.272074865
## 7 0.142093189 0.07701758 0.0272205518 -0.152955731
## 8 -0.089649719 -0.01467914 -0.0409972889 -0.065690436
## 9 -0.005927508 -0.02120610 0.0002866202 -0.146289429
## 10 -0.022821317 -0.03114309 -0.0120267015 -0.380598426
## 11 -0.096528431 0.20174958 0.0403893904 -0.184466025
## 12 0.074194981 -0.11407816 -0.0736486295 0.204343984
## 13 -0.038161078 0.01150820 0.1674241956 0.137378468
## 14 0.259819457 0.06819722 0.0779352410 0.200094735
## 15 0.817632151 -0.09191328 -0.0333584404 0.117270621
## 16 0.896552035 -0.01526658 -0.0980226231 0.158923270
## 17 0.817856006 -0.05418059 -0.0498601470 0.185555123
## 18 0.018373265 0.87509022 0.0198800734 -0.040589508
## 19 -0.128990787 0.79199080 0.2183578952 0.021109618
## 20 -0.078716384 0.13545264 0.8462014527 0.075490219
## 21 -0.063119120 0.09919416 0.9231466759 -0.000013329
## 22 0.211638963 0.06461391 0.0473568471 0.954103498
## 23 0.166702041 0.07995365 0.0525980460 0.933160688
## 24 0.094468375 -0.21793837 -0.0110998124 0.777907149MikoPLS4$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept -1.261026e-16 0.09165874 -1.375783e-15 1.0000000
## UncAv -2.055455e-01 0.09165874 -2.242509e+00 0.0268625
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept 5.336196e-17 0.09183988 5.810326e-16 1.00000000
## UncAv 1.961118e-01 0.09183988 2.135366e+00 0.03487151
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept 8.391086e-17 0.09339379 8.984629e-16 1.0000000
## Indiv 7.514202e-02 0.09339379 8.045719e-01 0.4227415
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept -3.954940e-16 0.09218909 -4.290030e-15 1.00000000
## Indiv 1.764473e-01 0.09218909 1.913971e+00 0.05813099
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept -2.925018e-16 0.0921832 -3.173049e-15 1.00000000
## Indiv 1.767978e-01 0.0921832 1.917896e+00 0.05762587
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept 7.486033e-17 0.08765362 8.540472e-16 1.000000000
## PerRisk -2.894407e-01 0.09418933 -3.072967e+00 0.002672182
## Trust 1.133697e-01 0.09545570 1.187668e+00 0.237522284
## Intimicy 1.559819e-01 0.08898133 1.752974e+00 0.082392446
## Hedonism -1.353837e-02 0.08850249 -1.529717e-01 0.878700887
## Stimulation 3.832036e-02 0.08902824 4.304293e-01 0.667725542MikoPLS4$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.4589245 0.7299127 0.5327725 0.000000000
## 2 UA2 UncAv 0.3371068 0.6656040 0.4430287 0.000000000
## 3 UA3 UncAv 0.5339733 0.8252203 0.6809885 0.000000000
## 4 IC1 Indiv 0.5274606 0.7439352 0.5534395 0.000000000
## 5 IC2 Indiv 0.4567565 0.7642861 0.5841333 0.000000000
## 6 IC3 Indiv 0.1489129 0.2296229 0.0527267 0.000000000
## 7 IC4 Indiv 0.3723883 0.6023741 0.3628546 0.000000000
## 8 PR1 PerRisk 0.1091026 0.5015915 0.2515940 0.010629587
## 9 PR2 PerRisk 0.5089831 0.7311830 0.5346286 0.022587505
## 10 PR3 PerRisk 0.6169590 0.8460498 0.7158003 0.030241823
## 11 PR4 PerRisk 0.1103347 0.4634732 0.2148074 0.009075393
## 12 T1 Trust 0.4282748 0.6779798 0.4596566 0.017678312
## 13 T2 Trust 0.4396292 0.7617391 0.5802464 0.022316174
## 14 T3 Trust 0.4797358 0.7811710 0.6102281 0.023469264
## 15 I1 Intimicy 0.3379730 0.8176322 0.6685223 0.003774693
## 16 I2 Intimicy 0.5256395 0.8965520 0.8038056 0.004538546
## 17 I3 Intimicy 0.3086108 0.8178560 0.6688884 0.003776760
## 18 Hed1 Hedonism 0.6653852 0.8750902 0.7657829 0.023841608
## 19 Hed2 Hedonism 0.5274403 0.7919908 0.6272494 0.019528557
## 20 Stim1 Stimulation 0.4704274 0.8462015 0.7160569 0.022382122
## 21 Stim2 Stimulation 0.6520347 0.9231467 0.8521998 0.026637603
## 22 UI1 UseIntention 0.4027764 0.9541035 0.9103135 0.140964541
## 23 UI2 UseIntention 0.3825520 0.9331607 0.8707889 0.134844045
## 24 UI3 UseIntention 0.3325939 0.7779071 0.6051395 0.093707517MikoPLS4$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.00000000 0.0000000 0.0000000 0.0000000 0.00000000
## Indiv 0.0000000 0.00000000 0.0000000 0.0000000 0.0000000 0.00000000
## PerRisk -0.2055455 0.00000000 0.0000000 0.0000000 0.0000000 0.00000000
## Trust 0.1961118 0.00000000 0.0000000 0.0000000 0.0000000 0.00000000
## Intimicy 0.0000000 0.07514202 0.0000000 0.0000000 0.0000000 0.00000000
## Hedonism 0.0000000 0.17644727 0.0000000 0.0000000 0.0000000 0.00000000
## Stimulation 0.0000000 0.17679780 0.0000000 0.0000000 0.0000000 0.00000000
## UseIntention 0.0000000 0.00000000 -0.2894407 0.1133697 0.1559819 -0.01353837
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.03832036 0MikoPLS4$gof## [1] 0.1722062MikoPLS4$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.00000000 0.00000000
## 2 UncAv -> PerRisk -0.20554554 0.00000000 -0.20554554
## 3 UncAv -> Trust 0.19611176 0.00000000 0.19611176
## 4 UncAv -> Intimicy 0.00000000 0.00000000 0.00000000
## 5 UncAv -> Hedonism 0.00000000 0.00000000 0.00000000
## 6 UncAv -> Stimulation 0.00000000 0.00000000 0.00000000
## 7 UncAv -> UseIntention 0.00000000 0.08172637 0.08172637
## 8 Indiv -> PerRisk 0.00000000 0.00000000 0.00000000
## 9 Indiv -> Trust 0.00000000 0.00000000 0.00000000
## 10 Indiv -> Intimicy 0.07514202 0.00000000 0.07514202
## 11 Indiv -> Hedonism 0.17644727 0.00000000 0.17644727
## 12 Indiv -> Stimulation 0.17679780 0.00000000 0.17679780
## 13 Indiv -> UseIntention 0.00000000 0.01610695 0.01610695
## 14 PerRisk -> Trust 0.00000000 0.00000000 0.00000000
## 15 PerRisk -> Intimicy 0.00000000 0.00000000 0.00000000
## 16 PerRisk -> Hedonism 0.00000000 0.00000000 0.00000000
## 17 PerRisk -> Stimulation 0.00000000 0.00000000 0.00000000
## 18 PerRisk -> UseIntention -0.28944067 0.00000000 -0.28944067
## 19 Trust -> Intimicy 0.00000000 0.00000000 0.00000000
## 20 Trust -> Hedonism 0.00000000 0.00000000 0.00000000
## 21 Trust -> Stimulation 0.00000000 0.00000000 0.00000000
## 22 Trust -> UseIntention 0.11336972 0.00000000 0.11336972
## 23 Intimicy -> Hedonism 0.00000000 0.00000000 0.00000000
## 24 Intimicy -> Stimulation 0.00000000 0.00000000 0.00000000
## 25 Intimicy -> UseIntention 0.15598194 0.00000000 0.15598194
## 26 Hedonism -> Stimulation 0.00000000 0.00000000 0.00000000
## 27 Hedonism -> UseIntention -0.01353837 0.00000000 -0.01353837
## 28 Stimulation -> UseIntention 0.03832036 0.00000000 0.03832036MikoPLS4$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.000000000 0.5522632 0.00000000 0.5522632
## Indiv Exogenous 0.000000000 0.3882885 0.00000000 0.3882885
## PerRisk Endogenous 0.042248967 0.4292076 0.01813358 0.4292076
## Trust Endogenous 0.038459824 0.5500437 0.02115458 0.5500437
## Intimicy Endogenous 0.005646323 0.7137388 0.00403000 0.7137388
## Hedonism Endogenous 0.031133639 0.6965162 0.02168508 0.6965162
## Stimulation Endogenous 0.031257463 0.7841283 0.02450986 0.7841283
## UseIntention Endogenous 0.154852743 0.7954140 0.12317203 0.7954140plot(MikoPLS4)
Mikodat4df<-as.data.frame.array(Mikodat4)
plspm.groups(MikoPLS4,factor(Mikodat4df$Nat))## GROUP COMPARISON IN PLS-PM FOR PATH COEFFICIENTS
##
## Scale of Data: TRUE
## Weighting Scheme: centroid
## Selected method: bootstrap
## Num of replicates: 100
##
## $test
## global group.1 group.2 diff.abs t.stat deg.fr
## UncAv->PerRisk -0.2055 -0.4012 -0.1526 0.2486 0.0285 114
## UncAv->Trust 0.1961 0.2785 0.1001 0.1784 0.6209 114
## Indiv->Intimicy 0.0751 0.3291 -0.3756 0.7046 1.1831 114
## Indiv->Hedonism 0.1764 0.1599 0.1323 0.0276 0.0527 114
## Indiv->Stimulation 0.1768 0.4105 0.1711 0.2395 0.5448 114
## PerRisk->UseIntention -0.2894 -0.2016 -0.2885 0.0869 1.1009 114
## Trust->UseIntention 0.1134 0.2647 0.2343 0.0303 0.3872 114
## Intimicy->UseIntention 0.1560 0.3593 0.1642 0.1952 1.0557 114
## Hedonism->UseIntention -0.0135 0.0019 -0.0676 0.0696 0.0471 114
## Stimulation->UseIntention 0.0383 -0.0256 0.0751 0.1007 0.5216 114
## p.value sig.05
## UncAv->PerRisk 0.4887 no
## UncAv->Trust 0.2680 no
## Indiv->Intimicy 0.1196 no
## Indiv->Hedonism 0.4790 no
## Indiv->Stimulation 0.2935 no
## PerRisk->UseIntention 0.1366 no
## Trust->UseIntention 0.3497 no
## Intimicy->UseIntention 0.1467 no
## Hedonism->UseIntention 0.4813 no
## Stimulation->UseIntention 0.3015 no
##
## Inner models in the following objects:
## $global
## $group1
## $group2Comparison Ger vs Jap (Mikodat4) withonly IC1
MikoPLS4<-plspm(Mikodat4,Path,MikoBlocksM2,mode=MikoModes)
MikoPLS4## Partial Least Squares Path Modeling (PLS-PM)
## ---------------------------------------------
## NAME DESCRIPTION
## 1 $outer_model outer model
## 2 $inner_model inner model
## 3 $path_coefs path coefficients matrix
## 4 $scores latent variable scores
## 5 $crossloadings cross-loadings
## 6 $inner_summary summary inner model
## 7 $effects total effects
## 8 $unidim unidimensionality
## 9 $gof goodness-of-fit
## 10 $boot bootstrap results
## 11 $data data matrix
## ---------------------------------------------
## You can also use the function 'summary'MikoPLS4$unidim## Mode MVs C.alpha DG.rho eig.1st eig.2nd
## UncAv A 3 0.5987230 0.7891386 1.667415 0.7470430
## Indiv A 1 1.0000000 1.0000000 1.000000 0.0000000
## PerRisk A 4 0.6152651 0.7764684 1.870176 0.8405850
## Trust A 3 0.5885505 0.7849521 1.651719 0.7734376
## Intimicy A 3 0.8064607 0.8857311 2.162929 0.4382123
## Hedonism A 2 0.5689651 0.8226949 1.397590 0.6024101
## Stimulation A 2 0.7312140 0.8815287 1.576310 0.4236901
## UseIntention A 3 0.8672799 0.9204365 2.386366 0.5400617MikoPLS4$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.72996836 0.159717251 -0.154096272 0.14838269
## 2 UA2 UncAv 0.66559140 0.363214922 -0.079795457 0.14228776
## 3 UA3 UncAv 0.82518035 0.194268936 -0.201869976 0.14993968
## 4 IC1 Indiv 0.29947222 1.000000000 -0.053195932 0.02719079
## 5 PR1 PerRisk -0.02339447 0.215103181 0.501781152 -0.27731312
## 6 PR2 PerRisk -0.26951547 -0.183983210 0.730840215 -0.13263912
## 7 PR3 PerRisk -0.12354598 0.021845070 0.846245292 -0.36843945
## 8 PR4 PerRisk 0.09434766 0.030458364 0.463772508 -0.35853739
## 9 T1 Trust 0.10615393 0.006040745 -0.256898325 0.67753809
## 10 T2 Trust 0.18141466 0.063660528 -0.408347825 0.76182294
## 11 T3 Trust 0.14777848 -0.007045552 -0.156950757 0.78148799
## 12 I1 Intimicy 0.12789862 -0.094096077 -0.035476796 0.17310214
## 13 I2 Intimicy 0.08228730 0.017968611 0.007956897 0.06524149
## 14 I3 Intimicy -0.03799458 -0.155575207 -0.096450149 0.15203092
## 15 Hed1 Hedonism 0.20794555 0.197497908 0.023928912 -0.06598510
## 16 Hed2 Hedonism 0.21482956 0.172096017 -0.047798879 0.06241781
## 17 Stim1 Stimulation 0.01482446 0.121220046 0.035041386 0.03115796
## 18 Stim2 Stimulation -0.03485523 0.214732994 -0.036460324 0.09950334
## 19 UI1 UseIntention 0.10036596 0.051956851 -0.342726719 0.24366297
## 20 UI2 UseIntention 0.16285060 0.109929558 -0.362559291 0.23960406
## 21 UI3 UseIntention -0.09669830 0.001245145 -0.180711112 0.16260106
## Intimicy Hedonism Stimulation UseIntention
## 1 0.023866072 0.095950853 0.064189163 0.0528111512
## 2 -0.007947105 0.292818458 0.118227563 -0.0937561451
## 3 0.065064462 0.199414565 -0.153245620 0.1468296899
## 4 -0.117897567 0.222068587 0.191463291 0.0635253756
## 5 -0.105603147 -0.023596441 -0.040307073 -0.0658854773
## 6 -0.017698571 -0.026980676 0.002273358 -0.1461748795
## 7 -0.056301175 -0.017007315 -0.006627272 -0.3810203211
## 8 -0.094610585 0.201188523 0.043208016 -0.1847330643
## 9 0.104734177 -0.114765216 -0.075192551 0.2040229902
## 10 -0.008688451 0.003433552 0.162175056 0.1374814678
## 11 0.255146109 0.058951711 0.075193986 0.2004687702
## 12 0.827113566 -0.085137284 -0.041938953 0.1174526832
## 13 0.769736804 -0.001704942 -0.091292017 0.1590836105
## 14 0.920227045 -0.052128392 -0.056111314 0.1856265347
## 15 -0.013922668 0.907392592 0.023884408 -0.0402628592
## 16 -0.109614146 0.746407353 0.218668370 0.0219581189
## 17 -0.098546064 0.125317872 0.877120791 0.0756066485
## 18 -0.026174419 0.085092253 0.897984929 0.0000924317
## 19 0.216404221 0.057226032 0.051137410 0.9546060480
## 20 0.162923173 0.069321021 0.059214876 0.9337326350
## 21 0.106742313 -0.208475771 -0.007850217 0.7766345021MikoPLS4$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept -2.416014e-16 0.09166141 -2.635802e-15 1.00000000
## UncAv -2.054100e-01 0.09166141 -2.240965e+00 0.02696538
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept -1.161841e-17 0.09183958 -1.265076e-16 1.00000000
## UncAv 1.961275e-01 0.09183958 2.135544e+00 0.03485664
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept -3.982672e-18 0.09300538 -4.282196e-17 1.0000000
## Indiv -1.178976e-01 0.09300538 -1.267642e+00 0.2075088
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept 5.724223e-17 0.09132002 6.268311e-16 1.00000000
## Indiv 2.220686e-01 0.09132002 2.431762e+00 0.01658207
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept 3.157815e-17 0.09192588 3.435176e-16 1.00000000
## Indiv 1.914633e-01 0.09192588 2.082801e+00 0.03950584
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept -2.296165e-18 0.08771745 -2.617683e-17 1.000000000
## PerRisk -2.865664e-01 0.09425603 -3.040298e+00 0.002954205
## Trust 1.113179e-01 0.09571803 1.162978e+00 0.247355232
## Intimicy 1.502117e-01 0.08932191 1.681689e+00 0.095466208
## Hedonism -1.436605e-02 0.08848086 -1.623633e-01 0.871317635
## Stimulation 4.362187e-02 0.08889034 4.907381e-01 0.624589280MikoPLS4$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.4590045 0.7299684 0.5328538 0.000000000
## 2 UA2 UncAv 0.3370990 0.6655914 0.4430119 0.000000000
## 3 UA3 UncAv 0.5339088 0.8251803 0.6809226 0.000000000
## 4 IC1 Indiv 1.0000000 1.0000000 1.0000000 0.000000000
## 5 PR1 PerRisk 0.1092935 0.5017812 0.2517843 0.010623604
## 6 PR2 PerRisk 0.5084994 0.7308402 0.5341274 0.022536583
## 7 PR3 PerRisk 0.6171084 0.8462453 0.7161311 0.030215913
## 8 PR4 PerRisk 0.1106182 0.4637725 0.2150849 0.009075137
## 9 T1 Trust 0.4276985 0.6775381 0.4590579 0.017658117
## 10 T2 Trust 0.4396812 0.7618229 0.5803742 0.022324670
## 11 T3 Trust 0.4801849 0.7814880 0.6107235 0.023492086
## 12 I1 Intimicy 0.3540054 0.8271136 0.6841169 0.009509112
## 13 I2 Intimicy 0.2361417 0.7697368 0.5924947 0.008235580
## 14 I3 Intimicy 0.5709790 0.9202270 0.8468178 0.011770629
## 15 Hed1 Hedonism 0.7252790 0.9073926 0.8233613 0.040603616
## 16 Hed2 Hedonism 0.4580437 0.7464074 0.5571239 0.027474265
## 17 Stim1 Stimulation 0.5384354 0.8771208 0.7693409 0.028202646
## 18 Stim2 Stimulation 0.5876793 0.8979849 0.8063769 0.029560320
## 19 UI1 UseIntention 0.4042403 0.9546060 0.9112727 0.139990889
## 20 UI2 UseIntention 0.3830745 0.9337326 0.8718566 0.133935741
## 21 UI3 UseIntention 0.3301689 0.7766345 0.6031611 0.092658394MikoPLS4$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.00000000
## Indiv 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.00000000
## PerRisk -0.2054100 0.0000000 0.0000000 0.0000000 0.0000000 0.00000000
## Trust 0.1961275 0.0000000 0.0000000 0.0000000 0.0000000 0.00000000
## Intimicy 0.0000000 -0.1178976 0.0000000 0.0000000 0.0000000 0.00000000
## Hedonism 0.0000000 0.2220686 0.0000000 0.0000000 0.0000000 0.00000000
## Stimulation 0.0000000 0.1914633 0.0000000 0.0000000 0.0000000 0.00000000
## UseIntention 0.0000000 0.0000000 -0.2865664 0.1113179 0.1502117 -0.01436605
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.04362187 0MikoPLS4$gof## [1] 0.1864933MikoPLS4$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.00000000 0.00000000
## 2 UncAv -> PerRisk -0.20541001 0.00000000 -0.20541001
## 3 UncAv -> Trust 0.19612750 0.00000000 0.19612750
## 4 UncAv -> Intimicy 0.00000000 0.00000000 0.00000000
## 5 UncAv -> Hedonism 0.00000000 0.00000000 0.00000000
## 6 UncAv -> Stimulation 0.00000000 0.00000000 0.00000000
## 7 UncAv -> UseIntention 0.00000000 0.08069612 0.08069612
## 8 Indiv -> PerRisk 0.00000000 0.00000000 0.00000000
## 9 Indiv -> Trust 0.00000000 0.00000000 0.00000000
## 10 Indiv -> Intimicy -0.11789757 0.00000000 -0.11789757
## 11 Indiv -> Hedonism 0.22206859 0.00000000 0.22206859
## 12 Indiv -> Stimulation 0.19146329 0.00000000 0.19146329
## 13 Indiv -> UseIntention 0.00000000 -0.01254785 -0.01254785
## 14 PerRisk -> Trust 0.00000000 0.00000000 0.00000000
## 15 PerRisk -> Intimicy 0.00000000 0.00000000 0.00000000
## 16 PerRisk -> Hedonism 0.00000000 0.00000000 0.00000000
## 17 PerRisk -> Stimulation 0.00000000 0.00000000 0.00000000
## 18 PerRisk -> UseIntention -0.28656644 0.00000000 -0.28656644
## 19 Trust -> Intimicy 0.00000000 0.00000000 0.00000000
## 20 Trust -> Hedonism 0.00000000 0.00000000 0.00000000
## 21 Trust -> Stimulation 0.00000000 0.00000000 0.00000000
## 22 Trust -> UseIntention 0.11131794 0.00000000 0.11131794
## 23 Intimicy -> Hedonism 0.00000000 0.00000000 0.00000000
## 24 Intimicy -> Stimulation 0.00000000 0.00000000 0.00000000
## 25 Intimicy -> UseIntention 0.15021166 0.00000000 0.15021166
## 26 Hedonism -> Stimulation 0.00000000 0.00000000 0.00000000
## 27 Hedonism -> UseIntention -0.01436605 0.00000000 -0.01436605
## 28 Stimulation -> UseIntention 0.04362187 0.00000000 0.04362187MikoPLS4$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.00000000 0.5522628 0.00000000 0.5522628
## Indiv Exogenous 0.00000000 1.0000000 0.00000000 1.0000000
## PerRisk Endogenous 0.04219327 0.4292819 0.01811281 0.4292819
## Trust Endogenous 0.03846599 0.5500518 0.02115829 0.5500518
## Intimicy Endogenous 0.01389984 0.7078098 0.00983844 0.7078098
## Hedonism Endogenous 0.04931446 0.6902426 0.03403894 0.6902426
## Stimulation Endogenous 0.03665819 0.7878589 0.02888148 0.7878589
## UseIntention Endogenous 0.15362129 0.7954302 0.12219501 0.7954302plot(MikoPLS4)
Mikodat4df<-as.data.frame.array(Mikodat4)
plspm.groups(MikoPLS4,factor(Mikodat4df$Nat))## GROUP COMPARISON IN PLS-PM FOR PATH COEFFICIENTS
##
## Scale of Data: TRUE
## Weighting Scheme: centroid
## Selected method: bootstrap
## Num of replicates: 100
##
## $test
## global group.1 group.2 diff.abs t.stat deg.fr
## UncAv->PerRisk -0.2054 -0.4012 -0.1525 0.2488 0.1344 114
## UncAv->Trust 0.1961 0.2788 0.1002 0.1786 0.3846 114
## Indiv->Intimicy -0.1179 0.1769 -0.3603 0.5371 2.8490 114
## Indiv->Hedonism 0.2221 0.3030 0.1025 0.2005 1.0167 114
## Indiv->Stimulation 0.1915 0.4484 0.0321 0.4164 2.0026 114
## PerRisk->UseIntention -0.2866 -0.2105 -0.2913 0.0809 0.5131 114
## Trust->UseIntention 0.1113 0.2617 0.2285 0.0333 0.3470 114
## Intimicy->UseIntention 0.1502 0.3653 0.1660 0.1993 1.2683 114
## Hedonism->UseIntention -0.0144 0.0137 -0.0638 0.0775 0.1879 114
## Stimulation->UseIntention 0.0436 -0.0386 0.0930 0.1316 0.5223 114
## p.value sig.05
## UncAv->PerRisk 0.4467 no
## UncAv->Trust 0.3506 no
## Indiv->Intimicy 0.0026 yes
## Indiv->Hedonism 0.1557 no
## Indiv->Stimulation 0.0238 yes
## PerRisk->UseIntention 0.3044 no
## Trust->UseIntention 0.3646 no
## Intimicy->UseIntention 0.1036 no
## Hedonism->UseIntention 0.4257 no
## Stimulation->UseIntention 0.3012 no
##
## Inner models in the following objects:
## $global
## $group1
## $group2