MikoFile
OR
23 1 2022
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Bachelor Thesis Miko Schiebler
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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("Miko4.csv",sep=";")xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Cleaning the Data
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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 3 5 4 5 5 5 5 3
## 2 4 4 4 4 3 3 2 2 2 2 2 2 1 4 4 4 5 5 3 2
## 3 5 5 4 4 3 2 2 2 2 2 1 1 1 3 5 2 5 4 5 2
## 4 4 5 2 2 2 3 1 1 1 1 4 3 2 2 5 4 5 5 3 1
## 5 1 2 3 3 4 4 3 5 4 4 3 2 1 2 5 5 5 5 4 2
## 6 2 1 2 3 5 3 1 2 1 1 1 1 1 5 4 5 5 4 4 2
## 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[,]),])
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 3 5 4 5 4 4 5 3
## 2 4 4 4 4 3 3 2 2 2 2 2 2 1 4 4 4 4 4 3 2
## 3 5 5 4 4 3 2 2 2 2 2 1 1 1 3 5 2 4 3 5 2
## 4 4 5 2 2 2 3 1 1 1 1 4 3 2 2 5 4 4 4 3 1
## 5 1 2 3 3 4 4 3 5 4 4 3 2 1 2 5 5 4 4 4 2
## 6 2 1 2 3 5 3 1 2 1 1 1 1 1 5 4 5 4 3 4 2
## 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##factanal(Mikodat1[,c(2:11,13:26)],factors=8, rotation="varimax")## 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[,])
## 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 3 5 4 5 4 4 5 3
## [2,] 4 4 4 4 3 3 2 2 2 2 2 2 1 4 4 4 4 4 3 2
## [3,] 5 5 4 4 3 2 2 2 2 2 1 1 1 3 5 2 4 3 5 2
## [4,] 4 5 2 2 2 3 1 1 1 1 4 3 2 2 5 4 4 4 3 1
## [5,] 1 2 3 3 4 4 3 5 4 4 3 2 1 2 5 5 4 4 4 2
## [6,] 2 1 2 3 5 3 1 2 1 1 1 1 1 5 4 5 4 3 4 2
## 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##factanal(Mikodat2[,2:25],factors=8, rotation="varimax")##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
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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
## 0.612 0.605 0.221 0.593 0.786 0.429 0.473 0.368 0.428 0.321 0.093 0.027 0.312
## UA1 UA2 UA3 IC1 IC2 IC3 IC4 Hed1 Hed2 Stim1 Stim2
## 0.794 0.474 0.387 0.661 0.748 0.790 0.871 0.664 0.324 0.608 0.005
##
## Loadings:
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## PR1 -0.362 0.286 0.390
## PR2 -0.269 0.560
## PR3 -0.428 -0.419 0.157 0.626
## PR4 -0.243 -0.433 0.156 0.317 0.111 0.130
## T1 0.432 -0.106
## T2 0.681 0.166 0.179 -0.193
## T3 0.224 0.220 0.624 0.141
## I1 0.752 0.121 0.196
## I2 0.722 -0.159
## I3 0.791 0.115 -0.134
## UI1 0.918 0.131 0.133 0.140
## UI2 0.938 0.262
## UI3 0.791 0.196 0.114
## UA1 0.111 0.111 0.393 -0.148
## UA2 0.672 0.194 0.111 -0.104
## UA3 0.117 -0.206 0.363 0.167 0.599 -0.192
## IC1 -0.154 0.122 0.519 0.126
## IC2 0.110 0.472
## IC3 -0.155 -0.406
## IC4 0.166 -0.170 -0.114 -0.173 -0.142
## Hed1 0.530 0.190
## Hed2 0.217 0.153 0.136 0.760
## Stim1 0.604
## Stim2 0.974 0.169 -0.103
##
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## SS loadings 2.795 1.882 1.676 1.498 1.338 1.101 1.059 1.057
## Proportion Var 0.116 0.078 0.070 0.062 0.056 0.046 0.044 0.044
## Cumulative Var 0.116 0.195 0.265 0.327 0.383 0.429 0.473 0.517
##
## Test of the hypothesis that 8 factors are sufficient.
## The chi square statistic is 127.28 on 112 degrees of freedom.
## The p-value is 0.153MikoPLS1<-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 0.0000000 0.1286929 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 0.9303543 0.9559375 2.635924 0.2932824MikoPLS1$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.701958024 0.02633013 -0.14603851 0.16230211
## 2 UA2 UncAv 0.629411496 0.38848705 -0.04597916 0.17623578
## 3 UA3 UncAv 0.839236035 0.13215271 -0.18168437 0.18266705
## 4 IC1 Indiv 0.268507704 0.94408462 -0.02266836 0.10548101
## 5 IC2 Indiv 0.157653120 0.53488445 0.02381794 0.06350629
## 6 IC3 Indiv -0.210444090 0.14485601 -0.02554696 -0.05155972
## 7 IC4 Indiv -0.229808663 -0.08377924 0.03002758 -0.08122560
## 8 PR1 PerRisk 0.001002817 0.22637866 0.47928394 -0.30122954
## 9 PR2 PerRisk -0.275699840 -0.11979128 0.68924828 -0.09614640
## 10 PR3 PerRisk -0.131733944 0.01962382 0.89797591 -0.41497432
## 11 PR4 PerRisk 0.137347182 0.05502644 0.48198820 -0.37293719
## 12 T1 Trust 0.165087835 0.04162410 -0.28423319 0.58564020
## 13 T2 Trust 0.237182588 0.09910309 -0.42596941 0.79609176
## 14 T3 Trust 0.129882722 0.05782997 -0.19314214 0.81700718
## 15 I1 Intimicy 0.106606062 -0.14798466 0.01290510 0.18626472
## 16 I2 Intimicy 0.057933798 -0.03543455 0.01800955 0.07291772
## 17 I3 Intimicy -0.047651246 -0.19731678 -0.06915036 0.10533952
## 18 Hed1 Hedonism 0.179238901 0.12087839 0.09494494 -0.03250394
## 19 Hed2 Hedonism 0.153510045 0.17136917 -0.06933169 0.11942193
## 20 Stim1 Stimulation -0.035763208 0.10622611 0.04511274 0.07268663
## 21 Stim2 Stimulation -0.083544978 0.23541800 0.01728584 0.14740152
## 22 UI1 UseIntention 0.143725648 0.06770492 -0.36004521 0.27913716
## 23 UI2 UseIntention 0.197156864 0.08451412 -0.36734816 0.25845980
## 24 UI3 UseIntention 0.146259227 0.09347728 -0.41023395 0.30210320
## Intimicy Hedonism Stimulation UseIntention
## 1 0.02177156 0.012569210 -0.01571394 0.147711259
## 2 -0.02622836 0.235004355 0.07749907 0.016708612
## 3 0.04120799 0.174405804 -0.15952296 0.179689989
## 4 -0.16473818 0.203092117 0.15943425 0.084996310
## 5 0.03133292 0.083834367 0.14239918 0.098440090
## 6 -0.09085585 -0.103173199 0.11211613 -0.201198815
## 7 -0.15555844 -0.037023888 -0.03097770 0.099328345
## 8 -0.08319113 0.095546213 -0.02568401 -0.066703739
## 9 0.01200808 -0.050556179 0.05426335 -0.095939511
## 10 -0.02749966 -0.079252992 0.00654558 -0.469932669
## 11 -0.06885129 0.224742241 0.05550668 -0.269308107
## 12 0.07055580 0.008350509 -0.06909859 0.111157658
## 13 -0.02552397 0.086264594 0.22272313 0.184119984
## 14 0.24866738 0.094979943 0.07799589 0.328469971
## 15 0.79619343 -0.094268188 -0.04783497 0.041786753
## 16 0.78709145 -0.084857970 -0.13887844 0.135853960
## 17 0.90897988 0.049739383 -0.07406986 0.137922350
## 18 0.03822448 0.609349928 -0.01203661 0.010459529
## 19 -0.04284581 0.968916473 0.20401489 0.249379593
## 20 -0.09523452 0.178529764 0.87293794 0.089625077
## 21 -0.08113472 0.135145535 0.91487376 0.001274627
## 22 0.18534375 0.230054342 0.04734475 0.961847777
## 23 0.13975578 0.236788983 0.04632232 0.962365550
## 24 0.02906918 0.137424111 0.03489479 0.885528117MikoPLS1$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.698554e-16 0.09548056 1.778953e-15 1.00000000
## UncAv -1.834315e-01 0.09548056 -1.921140e+00 0.05740011
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept 4.396600e-18 0.09440248 4.657293e-17 1.00000000
## UncAv 2.352577e-01 0.09440248 2.492071e+00 0.01424899
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept -6.550801e-17 0.09571801 -6.843854e-16 1.00000000
## Indiv -1.698075e-01 0.09571801 -1.774039e+00 0.07892803
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.684267e-17 0.09553513 1.762982e-16 1.00000000
## Indiv 1.803945e-01 0.09553513 1.888253e+00 0.06172614
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.099716e-16 0.09521592 1.154970e-15 1.00000000
## Indiv 1.974750e-01 0.09521592 2.073971e+00 0.04050516
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept -2.673411e-16 0.08674331 -3.081979e-15 1.0000000000
## PerRisk -3.432120e-01 0.09501830 -3.612062e+00 0.0004732837
## Trust 1.242455e-01 0.09708039 1.279821e+00 0.2035114178
## Intimicy 1.104006e-01 0.08831944 1.250015e+00 0.2141545405
## Hedonism 1.941630e-01 0.08833669 2.197989e+00 0.0302111182
## Stimulation 1.901816e-02 0.08961888 2.122115e-01 0.8323655497MikoPLS1$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.46573901 0.70195802 0.492745068 0.000000000
## 2 UA2 UncAv 0.33557432 0.62941150 0.396158832 0.000000000
## 3 UA3 UncAv 0.55032960 0.83923604 0.704317123 0.000000000
## 4 IC1 Indiv 0.86557482 0.94408462 0.891295767 0.000000000
## 5 IC2 Indiv 0.31995567 0.53488445 0.286101371 0.000000000
## 6 IC3 Indiv 0.16379146 0.14485601 0.020983264 0.000000000
## 7 IC4 Indiv 0.14372729 -0.08377924 0.007018961 0.000000000
## 8 PR1 PerRisk 0.07367586 0.47928394 0.229713092 0.007729187
## 9 PR2 PerRisk 0.41685576 0.68924828 0.475063195 0.015984514
## 10 PR3 PerRisk 0.67489103 0.89797591 0.806360731 0.027131726
## 11 PR4 PerRisk 0.14800225 0.48198820 0.232312627 0.007816654
## 12 T1 Trust 0.31692224 0.58564020 0.342974448 0.018982329
## 13 T2 Trust 0.48334372 0.79609176 0.633762089 0.035076316
## 14 T3 Trust 0.52583582 0.81700718 0.667500740 0.036943622
## 15 I1 Intimicy 0.32131056 0.79619343 0.633923976 0.018278932
## 16 I2 Intimicy 0.29007739 0.78709145 0.619512958 0.017863396
## 17 I3 Intimicy 0.56751223 0.90897988 0.826244429 0.023824411
## 18 Hed1 Hedonism 0.26919236 0.60934993 0.371307335 0.012083145
## 19 Hed2 Hedonism 0.86278609 0.96891647 0.938799131 0.030550557
## 20 Stim1 Stimulation 0.50546860 0.87293794 0.762020654 0.029716051
## 21 Stim2 Stimulation 0.61074796 0.91487376 0.836994002 0.032639740
## 22 UI1 UseIntention 0.38285303 0.96184778 0.925151146 0.215107797
## 23 UI2 UseIntention 0.36434726 0.96236555 0.926147452 0.215339450
## 24 UI3 UseIntention 0.31745848 0.88552812 0.784160046 0.182325819MikoPLS1$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.000000
## Indiv 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.000000
## PerRisk -0.1834315 0.0000000 0.000000 0.0000000 0.0000000 0.000000
## Trust 0.2352577 0.0000000 0.000000 0.0000000 0.0000000 0.000000
## Intimicy 0.0000000 -0.1698075 0.000000 0.0000000 0.0000000 0.000000
## Hedonism 0.0000000 0.1803945 0.000000 0.0000000 0.0000000 0.000000
## Stimulation 0.0000000 0.1974750 0.000000 0.0000000 0.0000000 0.000000
## UseIntention 0.0000000 0.0000000 -0.343212 0.1242455 0.1104006 0.194163
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.01901816 0MikoPLS1$gof## [1] 0.2011489MikoPLS1$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.00000000 0.00000000
## 2 UncAv -> PerRisk -0.18343155 0.00000000 -0.18343155
## 3 UncAv -> Trust 0.23525771 0.00000000 0.23525771
## 4 UncAv -> Intimicy 0.00000000 0.00000000 0.00000000
## 5 UncAv -> Hedonism 0.00000000 0.00000000 0.00000000
## 6 UncAv -> Stimulation 0.00000000 0.00000000 0.00000000
## 7 UncAv -> UseIntention 0.00000000 0.09218562 0.09218562
## 8 Indiv -> PerRisk 0.00000000 0.00000000 0.00000000
## 9 Indiv -> Trust 0.00000000 0.00000000 0.00000000
## 10 Indiv -> Intimicy -0.16980748 0.00000000 -0.16980748
## 11 Indiv -> Hedonism 0.18039447 0.00000000 0.18039447
## 12 Indiv -> Stimulation 0.19747502 0.00000000 0.19747502
## 13 Indiv -> UseIntention 0.00000000 0.02003470 0.02003470
## 14 PerRisk -> Trust 0.00000000 0.00000000 0.00000000
## 15 PerRisk -> Intimicy 0.00000000 0.00000000 0.00000000
## 16 PerRisk -> Hedonism 0.00000000 0.00000000 0.00000000
## 17 PerRisk -> Stimulation 0.00000000 0.00000000 0.00000000
## 18 PerRisk -> UseIntention -0.34321200 0.00000000 -0.34321200
## 19 Trust -> Intimicy 0.00000000 0.00000000 0.00000000
## 20 Trust -> Hedonism 0.00000000 0.00000000 0.00000000
## 21 Trust -> Stimulation 0.00000000 0.00000000 0.00000000
## 22 Trust -> UseIntention 0.12424551 0.00000000 0.12424551
## 23 Intimicy -> Hedonism 0.00000000 0.00000000 0.00000000
## 24 Intimicy -> Stimulation 0.00000000 0.00000000 0.00000000
## 25 Intimicy -> UseIntention 0.11040060 0.00000000 0.11040060
## 26 Hedonism -> Stimulation 0.00000000 0.00000000 0.00000000
## 27 Hedonism -> UseIntention 0.19416304 0.00000000 0.19416304
## 28 Stimulation -> UseIntention 0.01901816 0.00000000 0.01901816MikoPLS1$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.00000000 0.5310737 0.00000000 0.5310737
## Indiv Exogenous 0.00000000 0.3013498 0.00000000 0.3013498
## PerRisk Endogenous 0.03364713 0.4358624 0.01466552 0.4358624
## Trust Endogenous 0.05534619 0.5480791 0.03033409 0.5480791
## Intimicy Endogenous 0.02883458 0.6932271 0.01998891 0.6932271
## Hedonism Endogenous 0.03254217 0.6550532 0.02131685 0.6550532
## Stimulation Endogenous 0.03899638 0.7995073 0.03117790 0.7995073
## UseIntention Endogenous 0.23251098 0.8784862 0.20425769 0.8784862plot(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
## 0.714 0.005 0.351 0.574 0.771 0.426 0.528 0.343 0.457 0.292 0.080 0.041 0.317
## UA1 UA2 UA3 IC1 Hed1 Hed2 Stim1 Stim2
## 0.827 0.130 0.538 0.740 0.648 0.342 0.603 0.005
##
## Loadings:
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## PR1 -0.460 0.196 0.141
## PR2 -0.205 0.929 -0.289
## PR3 -0.442 -0.577 0.264 0.144 -0.154
## PR4 -0.226 -0.491 0.290 0.101 0.166
## T1 0.438 0.147
## T2 0.697 0.187 0.140 0.145
## T3 0.206 0.517 0.236 0.101 0.233 0.185
## I1 0.782 0.164
## I2 0.709 -0.152
## I3 0.100 0.782 0.109 -0.245
## UI1 0.929 0.129 0.135
## UI2 0.942 0.202
## UI3 0.793 0.203
## UA1 0.101 0.383
## UA2 0.160 0.335 0.852
## UA3 -0.183 0.192 -0.114 0.552 0.231
## IC1 -0.157 0.196 0.152 0.331 0.236
## Hed1 -0.113 0.551 0.171
## Hed2 0.218 0.166 0.749 0.122
## Stim1 0.610
## Stim2 0.989
##
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## SS loadings 2.772 1.890 1.876 1.547 1.095 1.073 1.038 0.978
## Proportion Var 0.132 0.090 0.089 0.074 0.052 0.051 0.049 0.047
## Cumulative Var 0.132 0.222 0.311 0.385 0.437 0.488 0.538 0.584
##
## Test of the hypothesis that 8 factors are sufficient.
## The chi square statistic is 64.05 on 70 degrees of freedom.
## The p-value is 0.678MikoPLS1<-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 0.9303543 0.9559375 2.635924 0.2932824MikoPLS1$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.701914494 0.09632405 -0.14603701 0.16229872
## 2 UA2 UncAv 0.629489305 0.34255185 -0.04593664 0.17622395
## 3 UA3 UncAv 0.839225420 0.19750752 -0.18167696 0.18266126
## 4 IC1 Indiv 0.268530270 1.00000000 -0.02263718 0.10547582
## 5 PR1 PerRisk 0.001020341 0.23234778 0.47939596 -0.30122999
## 6 PR2 PerRisk -0.275687494 -0.14669029 0.68928127 -0.09612929
## 7 PR3 PerRisk -0.131733938 0.01594224 0.89793070 -0.41495901
## 8 PR4 PerRisk 0.137362209 0.07163833 0.48204560 -0.37292842
## 9 T1 Trust 0.165090843 0.02021490 -0.28426205 0.58563521
## 10 T2 Trust 0.237190500 0.13377601 -0.42596724 0.79604788
## 11 T3 Trust 0.129880164 0.06544755 -0.19315491 0.81705052
## 12 I1 Intimicy 0.106602082 -0.15167614 0.01287336 0.18628244
## 13 I2 Intimicy 0.057923517 -0.03290630 0.01800156 0.07293993
## 14 I3 Intimicy -0.047652645 -0.18758655 -0.06915016 0.10535485
## 15 Hed1 Hedonism 0.179248502 0.17003342 0.09494310 -0.03250000
## 16 Hed2 Hedonism 0.153526414 0.18234000 -0.06928687 0.11942157
## 17 Stim1 Stimulation -0.035757530 0.08021799 0.04511352 0.07267756
## 18 Stim2 Stimulation -0.083526907 0.19465735 0.01728674 0.14739171
## 19 UI1 UseIntention 0.143712127 0.06047058 -0.36001717 0.27914857
## 20 UI2 UseIntention 0.197140814 0.10237026 -0.36731673 0.25847232
## 21 UI3 UseIntention 0.146257481 0.07732237 -0.41019995 0.30210937
## Intimicy Hedonism Stimulation UseIntention
## 1 0.02290925 0.010439401 -0.015365633 0.147741409
## 2 -0.02545763 0.236810429 0.076584977 0.016640936
## 3 0.04258641 0.185204570 -0.158205397 0.179719310
## 4 -0.16465216 0.206618590 0.158040900 0.084993874
## 5 -0.08373245 0.092152490 -0.025297777 -0.066705122
## 6 0.01158401 -0.053948977 0.054856781 -0.095913129
## 7 -0.02594070 -0.063353713 0.006810482 -0.469870408
## 8 -0.06939158 0.231758889 0.054954623 -0.269269391
## 9 0.07178658 0.005520132 -0.069520026 0.111139079
## 10 -0.02522249 0.077204165 0.221940363 0.184058911
## 11 0.24956987 0.089785934 0.077259810 0.328457170
## 12 0.80164534 -0.089203470 -0.049416390 0.041886011
## 13 0.78746707 -0.074955907 -0.137242224 0.135937360
## 14 0.90562310 0.050229437 -0.074411064 0.137989207
## 15 0.03784369 0.662323289 -0.011203005 0.010514673
## 16 -0.04437470 0.949656512 0.204494823 0.249431786
## 17 -0.09566426 0.170857526 0.878462802 0.089629205
## 18 -0.08041883 0.124203809 0.910194075 0.001281643
## 19 0.18444926 0.220317491 0.048101609 0.961949652
## 20 0.13933946 0.226298881 0.047782686 0.962461004
## 21 0.02791390 0.126229111 0.035946374 0.885295309MikoPLS1$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.079041e-16 0.09548106 1.13011e-15 1.00000000
## UncAv -1.834038e-01 0.09548106 -1.92084e+00 0.05743844
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept 3.833624e-17 0.09440261 4.060931e-16 1.00000000
## UncAv 2.352524e-01 0.09440261 2.492012e+00 0.01425124
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept -1.649830e-16 0.09580295 -1.722108e-15 1.00000000
## Indiv -1.646522e-01 0.09580295 -1.718654e+00 0.08859663
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.854590e-16 0.0950327 1.951528e-15 1.00000000
## Indiv 2.066186e-01 0.0950327 2.174184e+00 0.03191563
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept -7.495449e-17 0.09590793 -7.815255e-16 1.0000000
## Indiv 1.580409e-01 0.09590793 1.647840e+00 0.1023467
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept -1.626050e-16 0.08689622 -1.871255e-15 1.0000000000
## PerRisk -3.451789e-01 0.09518534 -3.626387e+00 0.0004506485
## Trust 1.251718e-01 0.09723981 1.287248e+00 0.2009211197
## Intimicy 1.091643e-01 0.08848758 1.233668e+00 0.2201617334
## Hedonism 1.865358e-01 0.08828708 2.112833e+00 0.0370557361
## Stimulation 2.341466e-02 0.08963489 2.612226e-01 0.7944475817MikoPLS1$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.46569115 0.7019145 0.4926840 0.000000000
## 2 UA2 UncAv 0.33567344 0.6294893 0.3962568 0.000000000
## 3 UA3 UncAv 0.55029529 0.8392254 0.7042993 0.000000000
## 4 IC1 Indiv 1.00000000 1.0000000 1.0000000 0.000000000
## 5 PR1 PerRisk 0.07381746 0.4793960 0.2298205 0.007730463
## 6 PR2 PerRisk 0.41688626 0.6892813 0.4751087 0.015981213
## 7 PR3 PerRisk 0.67475520 0.8979307 0.8062795 0.027120796
## 8 PR4 PerRisk 0.14807086 0.4820456 0.2323680 0.007816153
## 9 T1 Trust 0.31691768 0.5856352 0.3429686 0.018981150
## 10 T2 Trust 0.48326777 0.7960479 0.6336922 0.035070870
## 11 T3 Trust 0.52591309 0.8170505 0.6675716 0.036945878
## 12 I1 Intimicy 0.33202599 0.8016453 0.6426353 0.017422057
## 13 I2 Intimicy 0.28962568 0.7874671 0.6201044 0.016811237
## 14 I3 Intimicy 0.55846878 0.9056231 0.8201532 0.022234628
## 15 Hed1 Hedonism 0.34090600 0.6623233 0.4386721 0.018727458
## 16 Hed2 Hedonism 0.81525268 0.9496565 0.9018475 0.038500989
## 17 Stim1 Stimulation 0.51854163 0.8784628 0.7716969 0.019274616
## 18 Stim2 Stimulation 0.59820260 0.9101941 0.8284533 0.020692216
## 19 UI1 UseIntention 0.38322343 0.9619497 0.9253471 0.212647289
## 20 UI2 UseIntention 0.36469003 0.9624610 0.9263312 0.212873426
## 21 UI3 UseIntention 0.31668351 0.8852953 0.7837478 0.180107373MikoPLS1$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Indiv 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## PerRisk -0.1834038 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Trust 0.2352524 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Intimicy 0.0000000 -0.1646522 0.0000000 0.0000000 0.0000000 0.0000000
## Hedonism 0.0000000 0.2066186 0.0000000 0.0000000 0.0000000 0.0000000
## Stimulation 0.0000000 0.1580409 0.0000000 0.0000000 0.0000000 0.0000000
## UseIntention 0.0000000 0.0000000 -0.3451789 0.1251718 0.1091643 0.1865358
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.02341466 0MikoPLS1$gof## [1] 0.2087151MikoPLS1$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.0000000 0.00000000
## 2 UncAv -> PerRisk -0.18340383 0.0000000 -0.18340383
## 3 UncAv -> Trust 0.23525241 0.0000000 0.23525241
## 4 UncAv -> Intimicy 0.00000000 0.0000000 0.00000000
## 5 UncAv -> Hedonism 0.00000000 0.0000000 0.00000000
## 6 UncAv -> Stimulation 0.00000000 0.0000000 0.00000000
## 7 UncAv -> UseIntention 0.00000000 0.0927541 0.09275410
## 8 Indiv -> PerRisk 0.00000000 0.0000000 0.00000000
## 9 Indiv -> Trust 0.00000000 0.0000000 0.00000000
## 10 Indiv -> Intimicy -0.16465216 0.0000000 -0.16465216
## 11 Indiv -> Hedonism 0.20661859 0.0000000 0.20661859
## 12 Indiv -> Stimulation 0.15804090 0.0000000 0.15804090
## 13 Indiv -> UseIntention 0.00000000 0.0242681 0.02426810
## 14 PerRisk -> Trust 0.00000000 0.0000000 0.00000000
## 15 PerRisk -> Intimicy 0.00000000 0.0000000 0.00000000
## 16 PerRisk -> Hedonism 0.00000000 0.0000000 0.00000000
## 17 PerRisk -> Stimulation 0.00000000 0.0000000 0.00000000
## 18 PerRisk -> UseIntention -0.34517893 0.0000000 -0.34517893
## 19 Trust -> Intimicy 0.00000000 0.0000000 0.00000000
## 20 Trust -> Hedonism 0.00000000 0.0000000 0.00000000
## 21 Trust -> Stimulation 0.00000000 0.0000000 0.00000000
## 22 Trust -> UseIntention 0.12517178 0.0000000 0.12517178
## 23 Intimicy -> Hedonism 0.00000000 0.0000000 0.00000000
## 24 Intimicy -> Stimulation 0.00000000 0.0000000 0.00000000
## 25 Intimicy -> UseIntention 0.10916432 0.0000000 0.10916432
## 26 Hedonism -> Stimulation 0.00000000 0.0000000 0.00000000
## 27 Hedonism -> UseIntention 0.18653582 0.0000000 0.18653582
## 28 Stimulation -> UseIntention 0.02341466 0.0000000 0.02341466MikoPLS1$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.00000000 0.5310800 0.00000000 0.5310800
## Indiv Exogenous 0.00000000 1.0000000 0.00000000 1.0000000
## PerRisk Endogenous 0.03363696 0.4358942 0.01466216 0.4358942
## Trust Endogenous 0.05534370 0.5480775 0.03033263 0.5480775
## Intimicy Endogenous 0.02711033 0.6942976 0.01882264 0.6942976
## Hedonism Endogenous 0.04269124 0.6702598 0.02861422 0.6702598
## Stimulation Endogenous 0.02497693 0.8000751 0.01998342 0.8000751
## UseIntention Endogenous 0.22980272 0.8784754 0.20187603 0.8784754plot(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
## 0.604 0.615 0.196 0.697 0.796 0.479 0.371 0.369 0.443 0.346 0.093 0.041 0.318
## UA1 UA2 UA3 IC1 IC2 IC3 IC4 Hed1 Hed2 Stim1 Stim2
## 0.748 0.463 0.444 0.621 0.723 0.818 0.860 0.694 0.349 0.622 0.005
##
## Loadings:
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## PR1 -0.229 0.445 0.302 -0.200
## PR2 0.372 -0.480
## PR3 -0.334 -0.268 0.782
## PR4 -0.185 -0.307 0.320 0.247
## T1 0.360 -0.122 0.141 -0.158
## T2 0.129 0.620 -0.305 0.107
## T3 0.131 0.203 0.741 0.118
## I1 0.761 0.172
## I2 0.722 -0.136
## I3 0.111 0.788 -0.116
## UI1 0.925 0.139 0.109 -0.101
## UI2 0.949 0.106 0.172
## UI3 0.770 0.116 -0.215 0.145
## UA1 0.128 0.451 0.133
## UA2 -0.117 0.117 0.624 0.202 0.277
## UA3 -0.201 0.305 0.620 0.143
## IC1 -0.110 0.125 0.549 0.171
## IC2 0.117 0.494
## IC3 -0.235 -0.109 -0.160 -0.294
## IC4 0.165 -0.147 -0.114 -0.143 -0.209
## Hed1 -0.111 0.196 0.492
## Hed2 -0.100 0.161 0.150 0.760
## Stim1 0.586 0.127
## Stim2 0.961 0.222
##
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## SS loadings 2.682 1.885 1.427 1.407 1.291 1.279 1.209 1.107
## Proportion Var 0.112 0.079 0.059 0.059 0.054 0.053 0.050 0.046
## Cumulative Var 0.112 0.190 0.250 0.308 0.362 0.415 0.466 0.512
##
## Test of the hypothesis that 8 factors are sufficient.
## The chi square statistic is 131.56 on 112 degrees of freedom.
## The p-value is 0.0999MikoPLS2<-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 0.0000000 0.1147078 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 0.9267906 0.9537967 2.619765 0.3048615MikoPLS2$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.75135153 0.095200996 -0.165728682 0.13329988
## 2 UA2 UncAv 0.62946085 0.409842252 -0.046023043 0.13607398
## 3 UA3 UncAv 0.81738015 0.114689800 -0.178971886 0.13849420
## 4 IC1 Indiv 0.29063415 0.935342841 -0.029522056 0.01665871
## 5 IC2 Indiv 0.16167560 0.542300050 -0.009183506 0.01485091
## 6 IC3 Indiv -0.18258722 0.198899769 -0.022192985 -0.04514591
## 7 IC4 Indiv -0.25178525 -0.159067244 0.055796300 -0.08131559
## 8 PR1 PerRisk -0.02366381 0.199256739 0.511702485 -0.27390600
## 9 PR2 PerRisk -0.27897624 -0.128720538 0.699101186 -0.09112506
## 10 PR3 PerRisk -0.12069386 0.008249696 0.858212113 -0.36509145
## 11 PR4 PerRisk 0.08806505 0.010467733 0.500654318 -0.34476088
## 12 T1 Trust 0.10362174 -0.009529867 -0.268668991 0.61736156
## 13 T2 Trust 0.16275867 0.034905735 -0.395874657 0.77798843
## 14 T3 Trust 0.13540360 -0.019703524 -0.162012046 0.81716169
## 15 I1 Intimicy 0.13202336 -0.088512061 -0.038847408 0.16297980
## 16 I2 Intimicy 0.08783963 0.006629662 -0.014147258 0.07773404
## 17 I3 Intimicy -0.01921033 -0.148587746 -0.108786955 0.12209328
## 18 Hed1 Hedonism 0.20884669 0.145729352 0.041266752 -0.07864084
## 19 Hed2 Hedonism 0.21145350 0.169943558 -0.033308143 0.07705384
## 20 Stim1 Stimulation 0.01750113 0.147418829 0.044359943 0.05007029
## 21 Stim2 Stimulation -0.04607141 0.254903005 -0.006129364 0.12359652
## 22 UI1 UseIntention 0.10944468 0.028554265 -0.353196495 0.22824854
## 23 UI2 UseIntention 0.17374619 0.061886322 -0.362435549 0.22228834
## 24 UI3 UseIntention 0.09255262 0.090622570 -0.401531315 0.22232737
## Intimicy Hedonism Stimulation UseIntention
## 1 0.034817298 0.116080966 0.041500227 1.115377e-01
## 2 -0.010248858 0.311653227 0.128347991 -3.644929e-02
## 3 0.074024244 0.174878435 -0.147350738 1.720348e-01
## 4 -0.110805603 0.208887823 0.192267618 9.376125e-02
## 5 0.058997656 0.092110736 0.160084601 1.153397e-01
## 6 -0.122074744 -0.040971526 0.073721914 -2.363805e-01
## 7 -0.140558703 -0.087927399 -0.012685869 1.044549e-01
## 8 -0.092925040 0.042280035 -0.027070107 -8.329117e-02
## 9 -0.038715661 -0.001949300 0.025574320 -1.481798e-01
## 10 -0.059518225 -0.070659505 0.006502404 -4.449066e-01
## 11 -0.085905981 0.167057603 0.040676271 -2.468167e-01
## 12 0.102854603 -0.095216895 -0.064493497 1.428891e-01
## 13 -0.030163620 0.033563766 0.175937454 1.491164e-01
## 14 0.230248979 0.094073739 0.084131052 2.307165e-01
## 15 0.809814875 -0.108225368 -0.038315499 1.007503e-01
## 16 0.769289859 -0.069370552 -0.093932799 1.508322e-01
## 17 0.923789622 -0.034792244 -0.065498988 1.940201e-01
## 18 0.006412116 0.691812120 0.023467950 -7.822068e-03
## 19 -0.095859963 0.937803589 0.224108457 1.169360e-01
## 20 -0.091629185 0.185533639 0.870494530 7.746565e-02
## 21 -0.043410451 0.145511947 0.900780306 -1.676485e-05
## 22 0.221548718 0.101294480 0.039982322 9.619517e-01
## 23 0.169808269 0.133012611 0.048005653 9.606442e-01
## 24 0.117648875 0.001181086 0.024647368 8.779052e-01MikoPLS2$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept -7.687511e-17 0.08997081 -8.544450e-16 1.00000000
## UncAv -1.916380e-01 0.08997081 -2.130002e+00 0.03523091
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept -6.421891e-17 0.09014935 -7.123614e-16 1.00000000
## UncAv 1.813790e-01 0.09014935 2.011984e+00 0.04648023
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept 3.409780e-17 0.0910631 3.744415e-16 1.000000
## Indiv -1.148652e-01 0.0910631 -1.261380e+00 0.209639
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept -2.852975e-16 0.09001909 -3.169300e-15 1.00000000
## Indiv 1.889208e-01 0.09001909 2.098675e+00 0.03796017
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept -6.831097e-17 0.08919742 -7.658402e-16 1.00000000
## Indiv 2.306830e-01 0.08919742 2.586207e+00 0.01090889
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.392499e-16 0.08355632 1.666539e-15 1.0000000000
## PerRisk -3.523700e-01 0.08971516 -3.927653e+00 0.0001467265
## Trust 8.474786e-02 0.09094960 9.318113e-01 0.3533861979
## Intimicy 1.531696e-01 0.08498789 1.802252e+00 0.0741251398
## Hedonism 8.750875e-02 0.08521168 1.026957e+00 0.3065958556
## Stimulation 3.458792e-02 0.08583469 4.029596e-01 0.6877260600MikoPLS2$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.49933532 0.7513515 0.56452913 0.000000000
## 2 UA2 UncAv 0.30420013 0.6294609 0.39622097 0.000000000
## 3 UA3 UncAv 0.53015915 0.8173802 0.66811031 0.000000000
## 4 IC1 Indiv 0.84189859 0.9353428 0.87486623 0.000000000
## 5 IC2 Indiv 0.31776075 0.5423000 0.29408934 0.000000000
## 6 IC3 Indiv 0.25470984 0.1988998 0.03956112 0.000000000
## 7 IC4 Indiv 0.06567797 -0.1590672 0.02530239 0.000000000
## 8 PR1 PerRisk 0.11657917 0.5117025 0.26183943 0.009616084
## 9 PR2 PerRisk 0.46520257 0.6991012 0.48874247 0.017949124
## 10 PR3 PerRisk 0.61585412 0.8582121 0.73652803 0.027049078
## 11 PR4 PerRisk 0.17295170 0.5006543 0.25065475 0.009205325
## 12 T1 Trust 0.35521537 0.6173616 0.38113530 0.012538723
## 13 T2 Trust 0.44934239 0.7779884 0.60526599 0.019912253
## 14 T3 Trust 0.52758286 0.8171617 0.66775323 0.021967980
## 15 I1 Intimicy 0.32594346 0.8098149 0.65580013 0.008652635
## 16 I2 Intimicy 0.24833569 0.7692899 0.59180689 0.007808307
## 17 I3 Intimicy 0.58996551 0.9237896 0.85338727 0.011259602
## 18 Hed1 Hedonism 0.37844855 0.6918121 0.47860401 0.017081888
## 19 Hed2 Hedonism 0.78714212 0.9378036 0.87947557 0.031389421
## 20 Stim1 Stimulation 0.52871499 0.8704945 0.75776073 0.040323953
## 21 Stim2 Stimulation 0.59920992 0.9007803 0.81140516 0.043178621
## 22 UI1 UseIntention 0.38063476 0.9619517 0.92535099 0.182395319
## 23 UI2 UseIntention 0.37713321 0.9606442 0.92283721 0.181899829
## 24 UI3 UseIntention 0.30932375 0.8779052 0.77071762 0.151915638MikoPLS2$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.000000 0.0000000 0.00000 0.00000000 0.0000000 0.00000000
## Indiv 0.000000 0.0000000 0.00000 0.00000000 0.0000000 0.00000000
## PerRisk -0.191638 0.0000000 0.00000 0.00000000 0.0000000 0.00000000
## Trust 0.181379 0.0000000 0.00000 0.00000000 0.0000000 0.00000000
## Intimicy 0.000000 -0.1148652 0.00000 0.00000000 0.0000000 0.00000000
## Hedonism 0.000000 0.1889208 0.00000 0.00000000 0.0000000 0.00000000
## Stimulation 0.000000 0.2306830 0.00000 0.00000000 0.0000000 0.00000000
## UseIntention 0.000000 0.0000000 -0.35237 0.08474786 0.1531696 0.08750875
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.03458792 0MikoPLS2$gof## [1] 0.1886983MikoPLS2$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.000000000 0.000000000
## 2 UncAv -> PerRisk -0.19163798 0.000000000 -0.191637983
## 3 UncAv -> Trust 0.18137903 0.000000000 0.181379026
## 4 UncAv -> Intimicy 0.00000000 0.000000000 0.000000000
## 5 UncAv -> Hedonism 0.00000000 0.000000000 0.000000000
## 6 UncAv -> Stimulation 0.00000000 0.000000000 0.000000000
## 7 UncAv -> UseIntention 0.00000000 0.082898956 0.082898956
## 8 Indiv -> PerRisk 0.00000000 0.000000000 0.000000000
## 9 Indiv -> Trust 0.00000000 0.000000000 0.000000000
## 10 Indiv -> Intimicy -0.11486519 0.000000000 -0.114865190
## 11 Indiv -> Hedonism 0.18892080 0.000000000 0.188920795
## 12 Indiv -> Stimulation 0.23068295 0.000000000 0.230682954
## 13 Indiv -> UseIntention 0.00000000 0.006917207 0.006917207
## 14 PerRisk -> Trust 0.00000000 0.000000000 0.000000000
## 15 PerRisk -> Intimicy 0.00000000 0.000000000 0.000000000
## 16 PerRisk -> Hedonism 0.00000000 0.000000000 0.000000000
## 17 PerRisk -> Stimulation 0.00000000 0.000000000 0.000000000
## 18 PerRisk -> UseIntention -0.35236998 0.000000000 -0.352369977
## 19 Trust -> Intimicy 0.00000000 0.000000000 0.000000000
## 20 Trust -> Hedonism 0.00000000 0.000000000 0.000000000
## 21 Trust -> Stimulation 0.00000000 0.000000000 0.000000000
## 22 Trust -> UseIntention 0.08474786 0.000000000 0.084747861
## 23 Intimicy -> Hedonism 0.00000000 0.000000000 0.000000000
## 24 Intimicy -> Stimulation 0.00000000 0.000000000 0.000000000
## 25 Intimicy -> UseIntention 0.15316963 0.000000000 0.153169631
## 26 Hedonism -> Stimulation 0.00000000 0.000000000 0.000000000
## 27 Hedonism -> UseIntention 0.08750875 0.000000000 0.087508753
## 28 Stimulation -> UseIntention 0.03458792 0.000000000 0.034587917MikoPLS2$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.00000000 0.5429535 0.000000000 0.5429535
## Indiv Exogenous 0.00000000 0.3084548 0.000000000 0.3084548
## PerRisk Endogenous 0.03672512 0.4344412 0.015954903 0.4344412
## Trust Endogenous 0.03289835 0.5513848 0.018139652 0.5513848
## Intimicy Endogenous 0.01319401 0.7003314 0.009240181 0.7003314
## Hedonism Endogenous 0.03569107 0.6790398 0.024235655 0.6790398
## Stimulation Endogenous 0.05321463 0.7845829 0.041751287 0.7845829
## UseIntention Endogenous 0.19710934 0.8729686 0.172070262 0.8729686plot(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
## 0.445 0.610 0.183 0.699 0.785 0.497 0.330 0.357 0.456 0.336 0.086 0.051 0.330
## UA1 UA2 UA3 IC1 Hed1 Hed2 Stim1 Stim2
## 0.764 0.457 0.493 0.666 0.640 0.400 0.620 0.005
##
## Loadings:
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## PR1 -0.233 0.691 0.137
## PR2 -0.102 -0.454 0.117 0.354 0.176
## PR3 -0.368 -0.279 0.318 0.703
## PR4 -0.205 -0.302 0.264 0.207 0.221
## T1 0.152 0.356 -0.174 -0.127
## T2 0.142 0.138 0.605 -0.277
## T3 0.132 0.201 0.766 0.126
## I1 0.769 0.123 -0.103
## I2 0.717 -0.128
## I3 0.113 0.789 -0.128
## UI1 0.935 0.143
## UI2 0.952 0.131
## UI3 0.773 0.114 -0.209
## UA1 0.443 0.114
## UA2 -0.128 0.109 0.549 0.117 0.257 0.297 -0.213
## UA3 0.100 -0.174 0.661 0.129
## IC1 0.215 0.425 0.290
## Hed1 0.227 -0.120 0.529
## Hed2 0.102 -0.101 0.172 0.717 0.103 -0.109
## Stim1 0.585 0.134
## Stim2 0.989
##
## Factor1 Factor2 Factor3 Factor4 Factor5 Factor6 Factor7 Factor8
## SS loadings 2.670 1.851 1.494 1.484 1.407 1.069 0.978 0.837
## Proportion Var 0.127 0.088 0.071 0.071 0.067 0.051 0.047 0.040
## Cumulative Var 0.127 0.215 0.286 0.357 0.424 0.475 0.522 0.561
##
## Test of the hypothesis that 8 factors are sufficient.
## The chi square statistic is 60.69 on 70 degrees of freedom.
## The p-value is 0.779MikoPLS2<-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 0.9267906 0.9537967 2.619765 0.3048615MikoPLS2$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.75135665 0.146807218 -0.165724822 0.13329960
## 2 UA2 UncAv 0.62945516 0.368166117 -0.046016042 0.13607320
## 3 UA3 UncAv 0.81737860 0.198679854 -0.178963232 0.13849432
## 4 IC1 Indiv 0.29063241 1.000000000 -0.029512238 0.01665802
## 5 PR1 PerRisk -0.02366524 0.216651138 0.511720912 -0.27390614
## 6 PR2 PerRisk -0.27897692 -0.167773363 0.699081989 -0.09112560
## 7 PR3 PerRisk -0.12069380 0.028059603 0.858218333 -0.36508963
## 8 PR4 PerRisk 0.08806391 0.034627659 0.500671384 -0.34476106
## 9 T1 Trust 0.10362157 -0.012229055 -0.268672561 0.61736960
## 10 T2 Trust 0.16275820 0.057376350 -0.395880658 0.77798223
## 11 T3 Trust 0.13540381 -0.009058237 -0.162021701 0.81716156
## 12 I1 Intimicy 0.13202356 -0.096781606 -0.038849689 0.16298187
## 13 I2 Intimicy 0.08783996 0.015466374 -0.014149561 0.07773519
## 14 I3 Intimicy -0.01921020 -0.140857597 -0.108788758 0.12209448
## 15 Hed1 Hedonism 0.20884533 0.192988390 0.041270458 -0.07864132
## 16 Hed2 Hedonism 0.21145219 0.172588459 -0.033305024 0.07705257
## 17 Stim1 Stimulation 0.01750112 0.119949008 0.044359736 0.05006874
## 18 Stim2 Stimulation -0.04607206 0.215031120 -0.006130173 0.12359414
## 19 UI1 UseIntention 0.10944558 0.056184386 -0.353199887 0.22824912
## 20 UI2 UseIntention 0.17374740 0.113980688 -0.362435347 0.22228874
## 21 UI3 UseIntention 0.09255272 0.095012478 -0.401532751 0.22232733
## Intimicy Hedonism Stimulation UseIntention
## 1 0.035991866 0.112843226 0.042022705 1.115170e-01
## 2 -0.009045382 0.310303194 0.127636476 -3.647133e-02
## 3 0.075012165 0.185551613 -0.146104308 1.720287e-01
## 4 -0.111926656 0.213728932 0.191259757 9.373546e-02
## 5 -0.093929353 0.032898634 -0.026893752 -8.330900e-02
## 6 -0.039844649 -0.010284189 0.025616684 -1.481490e-01
## 7 -0.058105611 -0.055027202 0.007288862 -4.448982e-01
## 8 -0.086539329 0.172565704 0.040938135 -2.468291e-01
## 9 0.105214222 -0.099054807 -0.064578093 1.428962e-01
## 10 -0.029329768 0.023437389 0.174865724 1.491092e-01
## 11 0.230438180 0.083346476 0.083597557 2.307173e-01
## 12 0.817881407 -0.101700128 -0.039709615 1.007698e-01
## 13 0.763784441 -0.055464102 -0.092656058 1.508561e-01
## 14 0.921454748 -0.032761156 -0.066215568 1.940498e-01
## 15 0.005190044 0.749218528 0.024263695 -7.811717e-03
## 16 -0.096460373 0.905841851 0.224361161 1.169352e-01
## 17 -0.092654288 0.176866142 0.875543875 7.746042e-02
## 18 -0.041095350 0.132061259 0.896235542 -1.362053e-05
## 19 0.220359388 0.094294635 0.040780942 9.620005e-01
## 20 0.169198072 0.123091149 0.049285831 9.606332e-01
## 21 0.116063671 -0.004841335 0.024940988 8.778585e-01MikoPLS2$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept -5.66894e-17 0.08997095 -6.300856e-16 1.0000000
## UncAv -1.91630e-01 0.08997095 -2.129909e+00 0.0352387
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept -5.412597e-17 0.09014935 -6.004033e-16 1.00000000
## UncAv 1.813786e-01 0.09014935 2.011978e+00 0.04648081
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept 8.533625e-17 0.09109384 9.367949e-16 1.00000
## Indiv -1.119267e-01 0.09109384 -1.228696e+00 0.22161
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept -2.500876e-16 0.08955163 -2.792664e-15 1.0000000
## Indiv 2.137289e-01 0.08955163 2.386656e+00 0.0185785
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.363921e-16 0.08997757 1.515846e-15 1.00000000
## Indiv 1.912598e-01 0.08997757 2.125638e+00 0.03560062
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept 4.375839e-18 0.08362224 5.232866e-17 1.0000000000
## PerRisk -3.528657e-01 0.08978396 -3.930164e+00 0.0001453827
## Trust 8.553035e-02 0.09102206 9.396662e-01 0.3493583253
## Intimicy 1.510799e-01 0.08503354 1.776710e+00 0.0782600803
## Hedonism 8.104719e-02 0.08504497 9.529922e-01 0.3425928235
## Stimulation 3.764884e-02 0.08573331 4.391390e-01 0.6613848624MikoPLS2$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.4993425 0.7513567 0.5645368 0.000000000
## 2 UA2 UncAv 0.3041932 0.6294552 0.3962138 0.000000000
## 3 UA3 UncAv 0.5301578 0.8173786 0.6681078 0.000000000
## 4 IC1 Indiv 1.0000000 1.0000000 1.0000000 0.000000000
## 5 PR1 PerRisk 0.1166008 0.5117209 0.2618583 0.009615973
## 6 PR2 PerRisk 0.4651754 0.6990820 0.4887156 0.017946639
## 7 PR3 PerRisk 0.6158534 0.8582183 0.7365387 0.027047211
## 8 PR4 PerRisk 0.1729687 0.5006714 0.2506718 0.009205183
## 9 T1 Trust 0.3552257 0.6173696 0.3811452 0.012538984
## 10 T2 Trust 0.4493327 0.7779822 0.6052563 0.019911832
## 11 T3 Trust 0.5275842 0.8171616 0.6677530 0.021967859
## 12 I1 Intimicy 0.3444185 0.8178814 0.6689300 0.008380072
## 13 I2 Intimicy 0.2360442 0.7637844 0.5833667 0.007308170
## 14 I3 Intimicy 0.5838806 0.9214547 0.8490789 0.010636900
## 15 Hed1 Hedonism 0.4617870 0.7492185 0.5613284 0.025641513
## 16 Hed2 Hedonism 0.7220031 0.9058419 0.8205495 0.037482746
## 17 Stim1 Stimulation 0.5400415 0.8755439 0.7665771 0.028041615
## 18 Stim2 Stimulation 0.5882047 0.8962355 0.8032381 0.029382688
## 19 UI1 UseIntention 0.3811037 0.9620005 0.9254449 0.181240955
## 20 UI2 UseIntention 0.3768022 0.9606332 0.9228161 0.180726127
## 21 UI3 UseIntention 0.3091722 0.8778585 0.7706355 0.150922766MikoPLS2$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000
## Indiv 0.0000000 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000
## PerRisk -0.1916300 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000
## Trust 0.1813786 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000
## Intimicy 0.0000000 -0.1119267 0.0000000 0.00000000 0.0000000 0.00000000
## Hedonism 0.0000000 0.2137289 0.0000000 0.00000000 0.0000000 0.00000000
## Stimulation 0.0000000 0.1912598 0.0000000 0.00000000 0.0000000 0.00000000
## UseIntention 0.0000000 0.0000000 -0.3528657 0.08553035 0.1510799 0.08104719
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.03764884 0MikoPLS2$gof## [1] 0.1952044MikoPLS2$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.000000000 0.000000000
## 2 UncAv -> PerRisk -0.19162998 0.000000000 -0.191629981
## 3 UncAv -> Trust 0.18137855 0.000000000 0.181378554
## 4 UncAv -> Intimicy 0.00000000 0.000000000 0.000000000
## 5 UncAv -> Hedonism 0.00000000 0.000000000 0.000000000
## 6 UncAv -> Stimulation 0.00000000 0.000000000 0.000000000
## 7 UncAv -> UseIntention 0.00000000 0.083133026 0.083133026
## 8 Indiv -> PerRisk 0.00000000 0.000000000 0.000000000
## 9 Indiv -> Trust 0.00000000 0.000000000 0.000000000
## 10 Indiv -> Intimicy -0.11192666 0.000000000 -0.111926656
## 11 Indiv -> Hedonism 0.21372893 0.000000000 0.213728932
## 12 Indiv -> Stimulation 0.19125976 0.000000000 0.191259757
## 13 Indiv -> UseIntention 0.00000000 0.007612966 0.007612966
## 14 PerRisk -> Trust 0.00000000 0.000000000 0.000000000
## 15 PerRisk -> Intimicy 0.00000000 0.000000000 0.000000000
## 16 PerRisk -> Hedonism 0.00000000 0.000000000 0.000000000
## 17 PerRisk -> Stimulation 0.00000000 0.000000000 0.000000000
## 18 PerRisk -> UseIntention -0.35286574 0.000000000 -0.352865739
## 19 Trust -> Intimicy 0.00000000 0.000000000 0.000000000
## 20 Trust -> Hedonism 0.00000000 0.000000000 0.000000000
## 21 Trust -> Stimulation 0.00000000 0.000000000 0.000000000
## 22 Trust -> UseIntention 0.08553035 0.000000000 0.085530349
## 23 Intimicy -> Hedonism 0.00000000 0.000000000 0.000000000
## 24 Intimicy -> Stimulation 0.00000000 0.000000000 0.000000000
## 25 Intimicy -> UseIntention 0.15107992 0.000000000 0.151079916
## 26 Hedonism -> Stimulation 0.00000000 0.000000000 0.000000000
## 27 Hedonism -> UseIntention 0.08104719 0.000000000 0.081047187
## 28 Stimulation -> UseIntention 0.03764884 0.000000000 0.037648837MikoPLS2$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.00000000 0.5429528 0.000000000 0.5429528
## Indiv Exogenous 0.00000000 1.0000000 0.000000000 1.0000000
## PerRisk Endogenous 0.03672205 0.4344461 0.015953752 0.4344461
## Trust Endogenous 0.03289818 0.5513849 0.018139558 0.5513849
## Intimicy Endogenous 0.01252758 0.7004585 0.008775047 0.7004585
## Hedonism Endogenous 0.04568006 0.6909389 0.031562129 0.6909389
## Stimulation Endogenous 0.03658029 0.7849076 0.028712152 0.7849076
## UseIntention Endogenous 0.19584196 0.8729655 0.170963283 0.8729655plot(MikoPLS2)
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Model Analysis with PLS-Regression
Comparison of Germany vs Japan
we analyze the same four model specifications for differences between GER and JAP
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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 0.0000000 0.1424460 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 0.9327973 0.9573879 2.646919 0.2810656MikoPLS3$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.690339662 0.053462786 -0.12379375 0.187524955
## 2 UA2 UncAv 0.662530411 0.366865681 -0.07059292 0.186528839
## 3 UA3 UncAv 0.838854870 0.110267986 -0.18603426 0.195357497
## 4 IC1 Indiv 0.275471947 0.949731513 -0.03321397 0.120035313
## 5 IC2 Indiv 0.167675188 0.482672220 0.00947796 0.058570592
## 6 IC3 Indiv -0.207552716 0.195148519 -0.04463990 -0.053375068
## 7 IC4 Indiv -0.228546662 -0.098811063 0.02622078 -0.101459159
## 8 PR1 PerRisk -0.001083251 0.220783703 0.47742727 -0.305635040
## 9 PR2 PerRisk -0.265959496 -0.148649896 0.67709409 -0.133082992
## 10 PR3 PerRisk -0.135954842 0.007187036 0.90776543 -0.426829260
## 11 PR4 PerRisk 0.143457231 0.037880760 0.49235580 -0.379756066
## 12 T1 Trust 0.169772500 0.057698100 -0.28112815 0.591730366
## 13 T2 Trust 0.258966884 0.102246534 -0.45504230 0.797002399
## 14 T3 Trust 0.143764972 0.056659758 -0.20823936 0.808074411
## 15 I1 Intimicy 0.101271503 -0.156077928 0.01456012 0.196226620
## 16 I2 Intimicy 0.050006993 -0.044872324 0.03592228 0.070349710
## 17 I3 Intimicy -0.070232625 -0.212483538 -0.06316308 0.142802954
## 18 Hed1 Hedonism 0.173263624 0.123880160 0.09123468 -0.009302648
## 19 Hed2 Hedonism 0.154441458 0.170692650 -0.08111727 0.117838642
## 20 Stim1 Stimulation -0.038602393 0.112461108 0.03626265 0.063417584
## 21 Stim2 Stimulation -0.071711044 0.223487356 -0.01326300 0.133083164
## 22 UI1 UseIntention 0.135415254 0.054509215 -0.36589257 0.297787108
## 23 UI2 UseIntention 0.187589702 0.070027098 -0.37634508 0.279895240
## 24 UI3 UseIntention 0.146326025 0.085717898 -0.40693031 0.320449890
## Intimicy Hedonism Stimulation UseIntention
## 1 0.008606216 0.0163576632 0.008139605 0.14021822
## 2 -0.025919996 0.2429343744 0.064941243 0.02766579
## 3 0.029888837 0.1556693974 -0.166821803 0.17440371
## 4 -0.172572476 0.2049379669 0.158146494 0.08029581
## 5 0.033222523 0.0634940696 0.130005801 0.09465988
## 6 -0.080736819 -0.0664441701 0.111741413 -0.18210033
## 7 -0.159645826 -0.0346944219 -0.049131051 0.12158639
## 8 -0.097121798 0.0781353716 -0.040007196 -0.06344040
## 9 0.039756074 -0.0473565664 0.029852404 -0.08657077
## 10 -0.024816757 -0.0960597373 -0.008894513 -0.47827801
## 11 -0.077633165 0.2584153498 0.057827015 -0.26226894
## 12 0.068564370 -0.0005599167 -0.081045856 0.12860677
## 13 -0.002069723 0.0971580038 0.209549312 0.20453730
## 14 0.278296776 0.0989198696 0.067298262 0.33954209
## 15 0.808379812 -0.0994412135 -0.051792632 0.04979016
## 16 0.796578412 -0.0904742815 -0.137731919 0.13724784
## 17 0.904553645 0.0247048420 -0.063942161 0.12204201
## 18 0.015688638 0.6119822802 -0.013128987 0.00754475
## 19 -0.059172695 0.9684891400 0.198004178 0.24676339
## 20 -0.103287148 0.1589021339 0.878436036 0.09494356
## 21 -0.066735141 0.1422035572 0.914006317 0.02075734
## 22 0.179703657 0.2214263269 0.059515887 0.96091944
## 23 0.131948180 0.2249468415 0.058209510 0.96269884
## 24 0.025339310 0.1530744321 0.054178424 0.89246608MikoPLS3$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept -6.044034e-17 0.0978602 -6.176192e-16 1.00000000
## UncAv -1.810015e-01 0.0978602 -1.849593e+00 0.06729633
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept 8.107433e-17 0.09617606 8.429783e-16 1.000000000
## UncAv 2.564502e-01 0.09617606 2.666466e+00 0.008927858
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.620544e-16 0.09785308 1.656100e-15 1.00000000
## Indiv -1.813897e-01 0.09785308 -1.853694e+00 0.06670148
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.306257e-17 0.09786771 1.334717e-16 1.00000000
## Indiv 1.805910e-01 0.09786771 1.845256e+00 0.06793008
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept -2.507488e-16 0.09764909 -2.567856e-15 1.00000000
## Indiv 1.921722e-01 0.09764909 1.967988e+00 0.05181115
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.769496e-16 0.08878662 1.992976e-15 1.0000000000
## PerRisk -3.387779e-01 0.09836119 -3.444223e+00 0.0008473621
## Trust 1.352593e-01 0.10083596 1.341380e+00 0.1829292881
## Intimicy 1.065614e-01 0.09088692 1.172461e+00 0.2438834236
## Hedonism 1.861433e-01 0.09045941 2.057755e+00 0.0422963347
## Stimulation 2.825095e-02 0.09123014 3.096668e-01 0.7574785957MikoPLS3$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.44145995 0.69033966 0.476568848 0.000000000
## 2 UA2 UncAv 0.36461232 0.66253041 0.438946545 0.000000000
## 3 UA3 UncAv 0.54082768 0.83885487 0.703677493 0.000000000
## 4 IC1 Indiv 0.88802087 0.94973151 0.901989947 0.000000000
## 5 IC2 Indiv 0.26563350 0.48267222 0.232972472 0.000000000
## 6 IC3 Indiv 0.20922371 0.19514852 0.038082944 0.000000000
## 7 IC4 Indiv 0.12574512 -0.09881106 0.009763626 0.000000000
## 8 PR1 PerRisk 0.07286575 0.47742727 0.227936797 0.007467562
## 9 PR2 PerRisk 0.39807901 0.67709409 0.458456408 0.015019741
## 10 PR3 PerRisk 0.69359001 0.90776543 0.824038074 0.026996761
## 11 PR4 PerRisk 0.13416706 0.49235580 0.242414238 0.007941865
## 12 T1 Trust 0.31860293 0.59173037 0.350144826 0.023027874
## 13 T2 Trust 0.49491955 0.79700240 0.635212823 0.041775859
## 14 T3 Trust 0.51606745 0.80807441 0.652984254 0.042944627
## 15 I1 Intimicy 0.33522314 0.80837981 0.653477920 0.021500873
## 16 I2 Intimicy 0.29652139 0.79657841 0.634537167 0.020877680
## 17 I3 Intimicy 0.54480997 0.90455364 0.818217296 0.026921164
## 18 Hed1 Hedonism 0.27119384 0.61198228 0.374522311 0.012214336
## 19 Hed2 Hedonism 0.86117040 0.96848914 0.937971214 0.030590155
## 20 Stim1 Stimulation 0.51150569 0.87843604 0.771649870 0.028497162
## 21 Stim2 Stimulation 0.60248486 0.91400632 0.835407548 0.030851744
## 22 UI1 UseIntention 0.37874306 0.96091944 0.923366179 0.217307663
## 23 UI2 UseIntention 0.36091131 0.96269884 0.926789063 0.218113215
## 24 UI3 UseIntention 0.32338431 0.89246608 0.796495708 0.187449600MikoPLS3$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Indiv 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## PerRisk -0.1810015 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Trust 0.2564502 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Intimicy 0.0000000 -0.1813897 0.0000000 0.0000000 0.0000000 0.0000000
## Hedonism 0.0000000 0.1805910 0.0000000 0.0000000 0.0000000 0.0000000
## Stimulation 0.0000000 0.1921722 0.0000000 0.0000000 0.0000000 0.0000000
## UseIntention 0.0000000 0.0000000 -0.3387779 0.1352593 0.1065614 0.1861433
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.02825095 0MikoPLS3$gof## [1] 0.2049695MikoPLS3$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.00000000 0.00000000
## 2 UncAv -> PerRisk -0.18100151 0.00000000 -0.18100151
## 3 UncAv -> Trust 0.25645021 0.00000000 0.25645021
## 4 UncAv -> Intimicy 0.00000000 0.00000000 0.00000000
## 5 UncAv -> Hedonism 0.00000000 0.00000000 0.00000000
## 6 UncAv -> Stimulation 0.00000000 0.00000000 0.00000000
## 7 UncAv -> UseIntention 0.00000000 0.09600660 0.09600660
## 8 Indiv -> PerRisk 0.00000000 0.00000000 0.00000000
## 9 Indiv -> Trust 0.00000000 0.00000000 0.00000000
## 10 Indiv -> Intimicy -0.18138969 0.00000000 -0.18138969
## 11 Indiv -> Hedonism 0.18059099 0.00000000 0.18059099
## 12 Indiv -> Stimulation 0.19217225 0.00000000 0.19217225
## 13 Indiv -> UseIntention 0.00000000 0.01971572 0.01971572
## 14 PerRisk -> Trust 0.00000000 0.00000000 0.00000000
## 15 PerRisk -> Intimicy 0.00000000 0.00000000 0.00000000
## 16 PerRisk -> Hedonism 0.00000000 0.00000000 0.00000000
## 17 PerRisk -> Stimulation 0.00000000 0.00000000 0.00000000
## 18 PerRisk -> UseIntention -0.33877791 0.00000000 -0.33877791
## 19 Trust -> Intimicy 0.00000000 0.00000000 0.00000000
## 20 Trust -> Hedonism 0.00000000 0.00000000 0.00000000
## 21 Trust -> Stimulation 0.00000000 0.00000000 0.00000000
## 22 Trust -> UseIntention 0.13525933 0.00000000 0.13525933
## 23 Intimicy -> Hedonism 0.00000000 0.00000000 0.00000000
## 24 Intimicy -> Stimulation 0.00000000 0.00000000 0.00000000
## 25 Intimicy -> UseIntention 0.10656137 0.00000000 0.10656137
## 26 Hedonism -> Stimulation 0.00000000 0.00000000 0.00000000
## 27 Hedonism -> UseIntention 0.18614330 0.00000000 0.18614330
## 28 Stimulation -> UseIntention 0.02825095 0.00000000 0.02825095MikoPLS3$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.00000000 0.5397310 0.00000000 0.5397310
## Indiv Exogenous 0.00000000 0.2957022 0.00000000 0.2957022
## PerRisk Endogenous 0.03276155 0.4382114 0.01435648 0.4382114
## Trust Endogenous 0.06576671 0.5461140 0.03591612 0.5461140
## Intimicy Endogenous 0.03290222 0.7020775 0.02309991 0.7020775
## Hedonism Endogenous 0.03261311 0.6562468 0.02140225 0.6562468
## Stimulation Endogenous 0.03693017 0.8035287 0.02967445 0.8035287
## UseIntention Endogenous 0.23534289 0.8822170 0.20762349 0.8822170plot(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 -0.1810 -0.4132 -0.1162 0.2971 0.0947 101
## UncAv->Trust 0.2565 0.3836 0.1484 0.2352 0.7519 101
## Indiv->Intimicy -0.1814 -0.2922 -0.4298 0.1376 0.6351 101
## Indiv->Hedonism 0.1806 -0.1423 0.1787 0.3210 0.0716 101
## Indiv->Stimulation 0.1922 -0.3264 0.1792 0.5056 0.5088 101
## PerRisk->UseIntention -0.3388 -0.4078 -0.3319 0.0760 0.4559 101
## Trust->UseIntention 0.1353 0.1385 0.2508 0.1123 0.4076 101
## Intimicy->UseIntention 0.1066 0.3687 0.1190 0.2497 1.4451 101
## Hedonism->UseIntention 0.1861 0.2218 0.1735 0.0483 0.0233 101
## Stimulation->UseIntention 0.0283 -0.1392 0.0647 0.2039 0.5169 101
## p.value sig.05
## UncAv->PerRisk 0.4624 no
## UncAv->Trust 0.2269 no
## Indiv->Intimicy 0.2634 no
## Indiv->Hedonism 0.4715 no
## Indiv->Stimulation 0.3060 no
## PerRisk->UseIntention 0.3247 no
## Trust->UseIntention 0.3422 no
## Intimicy->UseIntention 0.0758 no
## Hedonism->UseIntention 0.4907 no
## Stimulation->UseIntention 0.3032 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 0.9327973 0.9573879 2.646919 0.2810656MikoPLS3$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.690334597 0.110130026 -0.12378773 0.187523360
## 2 UA2 UncAv 0.662542356 0.336403789 -0.07056197 0.186524000
## 3 UA3 UncAv 0.838850950 0.192662077 -0.18601763 0.195354885
## 4 IC1 Indiv 0.275475216 1.000000000 -0.03318520 0.120032863
## 5 PR1 PerRisk -0.001080571 0.231535036 0.47750291 -0.305635279
## 6 PR2 PerRisk -0.265957440 -0.164758689 0.67708380 -0.133075410
## 7 PR3 PerRisk -0.135955109 0.009207453 0.90775361 -0.426822464
## 8 PR4 PerRisk 0.143459321 0.067943889 0.49240631 -0.379751968
## 9 T1 Trust 0.169773007 0.042396188 -0.28115281 0.591729672
## 10 T2 Trust 0.258967866 0.143055532 -0.45504852 0.796983107
## 11 T3 Trust 0.143764487 0.069228902 -0.20825794 0.808093340
## 12 I1 Intimicy 0.101270681 -0.149547297 0.01453935 0.196234759
## 13 I2 Intimicy 0.050005237 -0.031962881 0.03591215 0.070359399
## 14 I3 Intimicy -0.070232512 -0.207344010 -0.06316839 0.142809469
## 15 Hed1 Hedonism 0.173264501 0.175602850 0.09124222 -0.009300862
## 16 Hed2 Hedonism 0.154444116 0.182676456 -0.08108609 0.117838142
## 17 Stim1 Stimulation -0.038601148 0.080912576 0.03626052 0.063413430
## 18 Stim2 Stimulation -0.071707933 0.193796157 -0.01326221 0.133079011
## 19 UI1 UseIntention 0.135413102 0.055530098 -0.36588660 0.297791679
## 20 UI2 UseIntention 0.187587208 0.097596068 -0.37633169 0.279900261
## 21 UI3 UseIntention 0.146325785 0.074340804 -0.40691987 0.320452367
## Intimicy Hedonism Stimulation UseIntention
## 1 0.0077473169 0.013105699 0.008047338 0.140211533
## 2 -0.0257876279 0.244124171 0.065500563 0.027618110
## 3 0.0282451292 0.167234211 -0.167676464 0.174402428
## 4 -0.1742888206 0.208955938 0.159187719 0.080275968
## 5 -0.0976919368 0.073585881 -0.040248434 -0.063454310
## 6 0.0394579064 -0.049216853 0.029104129 -0.086521723
## 7 -0.0261371434 -0.080039132 -0.009191393 -0.478256412
## 8 -0.0772549833 0.264655814 0.058079017 -0.262270541
## 9 0.0694354274 -0.003267949 -0.080563165 0.128608058
## 10 -0.0009946522 0.089061344 0.209994554 0.204509586
## 11 0.2780125604 0.095606305 0.067807240 0.339536365
## 12 0.8078634567 -0.095364446 -0.050545550 0.049854437
## 13 0.7908500392 -0.079323829 -0.138866591 0.137316615
## 14 0.9078985523 0.023705487 -0.063371298 0.122104948
## 15 0.0149726589 0.667047307 -0.013629863 0.007573822
## 16 -0.0575015202 0.948167069 0.197898076 0.246781704
## 17 -0.1035218874 0.151159424 0.874281454 0.094927188
## 18 -0.0649623819 0.130736534 0.917471782 0.020772595
## 19 0.1792939790 0.211185922 0.059110383 0.961011762
## 20 0.1312556741 0.213618668 0.057267987 0.962723719
## 21 0.0254270370 0.141354784 0.053391949 0.892330017MikoPLS3$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept -5.543374e-17 0.09786064 -5.664559e-16 1.00000000
## UncAv -1.809775e-01 0.09786064 -1.849339e+00 0.06733331
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.551256e-16 0.09617615 1.612932e-15 1.000000000
## UncAv 2.564467e-01 0.09617615 2.666427e+00 0.008928819
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.458219e-16 0.09798077 1.488271e-15 1.00000000
## Indiv -1.742888e-01 0.09798077 -1.778806e+00 0.07828008
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept 8.816710e-18 0.09730718 9.060698e-17 1.00000000
## Indiv 2.089559e-01 0.09730718 2.147385e+00 0.03415538
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept -7.345459e-18 0.09823488 -7.477444e-17 1.0000000
## Indiv 1.591877e-01 0.09823488 1.620481e+00 0.1082472
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.890187e-16 0.08895713 2.124830e-15 1.0000000000
## PerRisk -3.404181e-01 0.09853722 -3.454716e+00 0.0008185622
## Trust 1.365696e-01 0.10102510 1.351838e+00 0.1795709339
## Intimicy 1.043949e-01 0.09103555 1.146749e+00 0.2543062330
## Hedonism 1.781988e-01 0.09039901 1.971248e+00 0.0515449175
## Stimulation 3.008754e-02 0.09125108 3.297225e-01 0.7423205908MikoPLS3$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.44145499 0.6903346 0.4765619 0.000000000
## 2 UA2 UncAv 0.36462876 0.6625424 0.4389624 0.000000000
## 3 UA3 UncAv 0.54081879 0.8388510 0.7036709 0.000000000
## 4 IC1 Indiv 1.00000000 1.0000000 1.0000000 0.000000000
## 5 PR1 PerRisk 0.07295804 0.4775029 0.2280090 0.007467944
## 6 PR2 PerRisk 0.39805408 0.6770838 0.4584425 0.015015294
## 7 PR3 PerRisk 0.69352926 0.9077536 0.8240166 0.026988887
## 8 PR4 PerRisk 0.13422384 0.4924063 0.2424640 0.007941385
## 9 T1 Trust 0.31860238 0.5917297 0.3501440 0.023027194
## 10 T2 Trust 0.49488673 0.7969831 0.6351821 0.041772701
## 11 T3 Trust 0.51610022 0.8080933 0.6530148 0.042945472
## 12 I1 Intimicy 0.33565393 0.8078635 0.6526434 0.019825082
## 13 I2 Intimicy 0.28494968 0.7908500 0.6254438 0.018998851
## 14 I3 Intimicy 0.55456084 0.9078986 0.8242798 0.025038811
## 15 Hed1 Hedonism 0.34601838 0.6670473 0.4449521 0.019427759
## 16 Hed2 Hedonism 0.81123823 0.9481671 0.8990208 0.039253571
## 17 Stim1 Stimulation 0.50154654 0.8742815 0.7643681 0.019369645
## 18 Stim2 Stimulation 0.61201573 0.9174718 0.8417545 0.021330673
## 19 UI1 UseIntention 0.37939520 0.9610118 0.9235436 0.214634330
## 20 UI2 UseIntention 0.36068983 0.9627237 0.9268370 0.215399714
## 21 UI3 UseIntention 0.32292099 0.8923300 0.7962529 0.185051574MikoPLS3$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Indiv 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## PerRisk -0.1809775 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Trust 0.2564467 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## Intimicy 0.0000000 -0.1742888 0.0000000 0.0000000 0.0000000 0.0000000
## Hedonism 0.0000000 0.2089559 0.0000000 0.0000000 0.0000000 0.0000000
## Stimulation 0.0000000 0.1591877 0.0000000 0.0000000 0.0000000 0.0000000
## UseIntention 0.0000000 0.0000000 -0.3404181 0.1365696 0.1043949 0.1781988
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.03008754 0MikoPLS3$gof## [1] 0.2134817MikoPLS3$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.00000000 0.00000000
## 2 UncAv -> PerRisk -0.18097746 0.00000000 -0.18097746
## 3 UncAv -> Trust 0.25644673 0.00000000 0.25644673
## 4 UncAv -> Intimicy 0.00000000 0.00000000 0.00000000
## 5 UncAv -> Hedonism 0.00000000 0.00000000 0.00000000
## 6 UncAv -> Stimulation 0.00000000 0.00000000 0.00000000
## 7 UncAv -> UseIntention 0.00000000 0.09663083 0.09663083
## 8 Indiv -> PerRisk 0.00000000 0.00000000 0.00000000
## 9 Indiv -> Trust 0.00000000 0.00000000 0.00000000
## 10 Indiv -> Intimicy -0.17428882 0.00000000 -0.17428882
## 11 Indiv -> Hedonism 0.20895594 0.00000000 0.20895594
## 12 Indiv -> Stimulation 0.15918772 0.00000000 0.15918772
## 13 Indiv -> UseIntention 0.00000000 0.02383040 0.02383040
## 14 PerRisk -> Trust 0.00000000 0.00000000 0.00000000
## 15 PerRisk -> Intimicy 0.00000000 0.00000000 0.00000000
## 16 PerRisk -> Hedonism 0.00000000 0.00000000 0.00000000
## 17 PerRisk -> Stimulation 0.00000000 0.00000000 0.00000000
## 18 PerRisk -> UseIntention -0.34041812 0.00000000 -0.34041812
## 19 Trust -> Intimicy 0.00000000 0.00000000 0.00000000
## 20 Trust -> Hedonism 0.00000000 0.00000000 0.00000000
## 21 Trust -> Stimulation 0.00000000 0.00000000 0.00000000
## 22 Trust -> UseIntention 0.13656958 0.00000000 0.13656958
## 23 Intimicy -> Hedonism 0.00000000 0.00000000 0.00000000
## 24 Intimicy -> Stimulation 0.00000000 0.00000000 0.00000000
## 25 Intimicy -> UseIntention 0.10439492 0.00000000 0.10439492
## 26 Hedonism -> Stimulation 0.00000000 0.00000000 0.00000000
## 27 Hedonism -> UseIntention 0.17819884 0.00000000 0.17819884
## 28 Stimulation -> UseIntention 0.03008754 0.00000000 0.03008754MikoPLS3$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.00000000 0.5397317 0.00000000 0.5397317
## Indiv Exogenous 0.00000000 1.0000000 0.00000000 1.0000000
## PerRisk Endogenous 0.03275284 0.4382330 0.01435338 0.4382330
## Trust Endogenous 0.06576492 0.5461136 0.03591512 0.5461136
## Intimicy Endogenous 0.03037659 0.7007890 0.02128758 0.7007890
## Hedonism Endogenous 0.04366258 0.6719865 0.02934066 0.6719865
## Stimulation Endogenous 0.02534073 0.8030613 0.02035016 0.8030613
## UseIntention Endogenous 0.23240303 0.8822111 0.20502854 0.8822111plot(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 -0.1810 -0.4137 -0.1162 0.2975 0.2166 101
## UncAv->Trust 0.2564 0.3837 0.1484 0.2353 0.8174 101
## Indiv->Intimicy -0.1743 0.1538 -0.4145 0.5682 2.2716 101
## Indiv->Hedonism 0.2090 0.2677 0.1467 0.1210 0.5837 101
## Indiv->Stimulation 0.1592 0.3771 0.0416 0.3355 1.6578 101
## PerRisk->UseIntention -0.3404 -0.3992 -0.3313 0.0679 0.6645 101
## Trust->UseIntention 0.1366 0.1390 0.2500 0.1110 0.1934 101
## Intimicy->UseIntention 0.1044 0.3662 0.1175 0.2487 1.4284 101
## Hedonism->UseIntention 0.1782 0.1930 0.1745 0.0185 0.2473 101
## Stimulation->UseIntention 0.0301 -0.1162 0.0635 0.1797 0.4124 101
## p.value sig.05
## UncAv->PerRisk 0.4145 no
## UncAv->Trust 0.2078 no
## Indiv->Intimicy 0.0126 yes
## Indiv->Hedonism 0.2804 no
## Indiv->Stimulation 0.0502 no
## PerRisk->UseIntention 0.2539 no
## Trust->UseIntention 0.4235 no
## Intimicy->UseIntention 0.0781 no
## Hedonism->UseIntention 0.4026 no
## Stimulation->UseIntention 0.3405 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 0.0000000 0.1235420 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 0.9290722 0.9551435 2.629887 0.2936082MikoPLS4$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.73838806 0.120347219 -0.14509357 0.15304325
## 2 UA2 UncAv 0.66461847 0.392797509 -0.06890695 0.14458125
## 3 UA3 UncAv 0.81838977 0.097797368 -0.18252341 0.14828452
## 4 IC1 Indiv 0.29935903 0.936301028 -0.03951700 0.02809973
## 5 IC2 Indiv 0.17271437 0.497517107 -0.02369446 0.01058595
## 6 IC3 Indiv -0.17736200 0.239513006 -0.04264868 -0.04485142
## 7 IC4 Indiv -0.24954493 -0.173044697 0.05223926 -0.10154545
## 8 PR1 PerRisk -0.02404493 0.193095428 0.51028934 -0.27630447
## 9 PR2 PerRisk -0.26849494 -0.152384793 0.68808342 -0.12194105
## 10 PR3 PerRisk -0.12357624 -0.004143544 0.86728208 -0.37376943
## 11 PR4 PerRisk 0.09356222 -0.006316315 0.51103584 -0.35130039
## 12 T1 Trust 0.10555442 0.002684928 -0.26521872 0.62011983
## 13 T2 Trust 0.18158434 0.038353576 -0.42274996 0.78190701
## 14 T3 Trust 0.14853484 -0.018875539 -0.17322740 0.80828776
## 15 I1 Intimicy 0.12761178 -0.095598510 -0.03819704 0.16988991
## 16 I2 Intimicy 0.08171430 0.002953656 0.00256539 0.07201449
## 17 I3 Intimicy -0.03833928 -0.160868865 -0.10165148 0.15328833
## 18 Hed1 Hedonism 0.20625886 0.151110737 0.03673749 -0.05929905
## 19 Hed2 Hedonism 0.21539130 0.173593530 -0.04361145 0.07517277
## 20 Stim1 Stimulation 0.01664193 0.153750021 0.03741624 0.04089642
## 21 Stim2 Stimulation -0.03224112 0.240547562 -0.03575252 0.11160775
## 22 UI1 UseIntention 0.09965476 0.016980811 -0.35619130 0.24375490
## 23 UI2 UseIntention 0.16284994 0.049465735 -0.36889247 0.24164091
## 24 UI3 UseIntention 0.09055682 0.079881483 -0.39769423 0.23619624
## Intimicy Hedonism Stimulation UseIntention
## 1 0.023351846 0.121053717 0.064143200 0.10397113
## 2 -0.008510244 0.318639801 0.118305592 -0.02757769
## 3 0.064850620 0.159590829 -0.153395338 0.16691822
## 4 -0.116500147 0.210738956 0.191598495 0.09015624
## 5 0.061069259 0.075615978 0.148637472 0.11261524
## 6 -0.114489814 -0.011480241 0.071824703 -0.22080794
## 7 -0.143020281 -0.085670596 -0.027737965 0.12416421
## 8 -0.104635104 0.022446052 -0.040324500 -0.08050028
## 9 -0.016620137 0.003462135 0.002228105 -0.14143746
## 10 -0.056577212 -0.087077922 -0.006750790 -0.45171984
## 11 -0.094157568 0.193222930 0.043145475 -0.23956828
## 12 0.102654448 -0.105164221 -0.075160432 0.15933300
## 13 -0.009677921 0.043795999 0.162301599 0.16660408
## 14 0.255203959 0.102218022 0.075259677 0.23791703
## 15 0.822023379 -0.114599595 -0.041744843 0.10912204
## 16 0.775999168 -0.069712682 -0.091449432 0.15252360
## 17 0.920663558 -0.059639523 -0.055970960 0.18181049
## 18 -0.012432859 0.696555084 0.023794000 -0.01062402
## 19 -0.109689167 0.935297945 0.218670360 0.11119110
## 20 -0.097592811 0.169492584 0.876451465 0.08164046
## 21 -0.028225279 0.151343684 0.898596521 0.01784215
## 22 0.217131210 0.091256839 0.051053241 0.96093187
## 23 0.163366006 0.118996935 0.059066304 0.96091053
## 24 0.115116368 0.012695565 0.041358091 0.88464279MikoPLS4$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept -1.494302e-16 0.09200576 -1.624140e-15 1.00000000
## UncAv -1.870378e-01 0.09200576 -2.032892e+00 0.04438664
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept -4.033268e-17 0.0917965 -4.393706e-16 1.00000000
## UncAv 1.984133e-01 0.0917965 2.161447e+00 0.03275208
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept 3.837931e-17 0.0929383 4.129547e-16 1.00000
## Indiv -1.237816e-01 0.0929383 -1.331869e+00 0.18556
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept -2.089305e-16 0.09187883 -2.273979e-15 1.00000000
## Indiv 1.940206e-01 0.09187883 2.111701e+00 0.03689629
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept -8.178508e-17 0.09127275 -8.960514e-16 1.00000000
## Indiv 2.242733e-01 0.09127275 2.457176e+00 0.01550972
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept 5.351559e-17 0.08536229 6.269231e-16 1.0000000000
## PerRisk -3.500828e-01 0.09234258 -3.791131e+00 0.0002453198
## Trust 9.272707e-02 0.09386921 9.878326e-01 0.3254025421
## Intimicy 1.493191e-01 0.08715294 1.713300e+00 0.0894744109
## Hedonism 7.849148e-02 0.08711971 9.009612e-01 0.3695773145
## Stimulation 4.203582e-02 0.08734510 4.812613e-01 0.6312867764MikoPLS4$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.47118595 0.7383881 0.54521693 0.000000000
## 2 UA2 UncAv 0.33736805 0.6646185 0.44171771 0.000000000
## 3 UA3 UncAv 0.52280820 0.8183898 0.66976181 0.000000000
## 4 IC1 Indiv 0.85939727 0.9363010 0.87665962 0.000000000
## 5 IC2 Indiv 0.27029491 0.4975171 0.24752327 0.000000000
## 6 IC3 Indiv 0.28957464 0.2395130 0.05736648 0.000000000
## 7 IC4 Indiv 0.04904966 -0.1730447 0.02994447 0.000000000
## 8 PR1 PerRisk 0.11500684 0.5102893 0.26039521 0.009109440
## 9 PR2 PerRisk 0.45098472 0.6880834 0.47345879 0.016563072
## 10 PR3 PerRisk 0.63291499 0.8672821 0.75217821 0.026313551
## 11 PR4 PerRisk 0.16061946 0.5110358 0.26115763 0.009136112
## 12 T1 Trust 0.35371241 0.6201198 0.38454860 0.015138845
## 13 T2 Trust 0.46494809 0.7819070 0.61137857 0.024068649
## 14 T3 Trust 0.51604116 0.8082878 0.65332910 0.025720151
## 15 I1 Intimicy 0.34131233 0.8220234 0.67572244 0.010353348
## 16 I2 Intimicy 0.24941279 0.7759992 0.60217471 0.009226457
## 17 I3 Intimicy 0.57120668 0.9206636 0.84762139 0.012987166
## 18 Hed1 Hedonism 0.38565322 0.6965551 0.48518898 0.018264450
## 19 Hed2 Hedonism 0.78196610 0.9352979 0.87478225 0.032930296
## 20 Stim1 Stimulation 0.53690546 0.8764515 0.76816717 0.038637650
## 21 Stim2 Stimulation 0.58917257 0.8985965 0.80747571 0.040614810
## 22 UI1 UseIntention 0.37666377 0.9609319 0.92339006 0.183256652
## 23 UI2 UseIntention 0.37374579 0.9609105 0.92334905 0.183248513
## 24 UI3 UseIntention 0.31528602 0.8846428 0.78259286 0.155313939MikoPLS4$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000
## Indiv 0.0000000 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000
## PerRisk -0.1870378 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000
## Trust 0.1984133 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000
## Intimicy 0.0000000 -0.1237816 0.0000000 0.00000000 0.0000000 0.00000000
## Hedonism 0.0000000 0.1940206 0.0000000 0.00000000 0.0000000 0.00000000
## Stimulation 0.0000000 0.2242733 0.0000000 0.00000000 0.0000000 0.00000000
## UseIntention 0.0000000 0.0000000 -0.3500828 0.09272707 0.1493191 0.07849148
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.04203582 0MikoPLS4$gof## [1] 0.1909075MikoPLS4$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.000000000 0.000000000
## 2 UncAv -> PerRisk -0.18703779 0.000000000 -0.187037787
## 3 UncAv -> Trust 0.19841329 0.000000000 0.198413287
## 4 UncAv -> Intimicy 0.00000000 0.000000000 0.000000000
## 5 UncAv -> Hedonism 0.00000000 0.000000000 0.000000000
## 6 UncAv -> Stimulation 0.00000000 0.000000000 0.000000000
## 7 UncAv -> UseIntention 0.00000000 0.083876996 0.083876996
## 8 Indiv -> PerRisk 0.00000000 0.000000000 0.000000000
## 9 Indiv -> Trust 0.00000000 0.000000000 0.000000000
## 10 Indiv -> Intimicy -0.12378164 0.000000000 -0.123781641
## 11 Indiv -> Hedonism 0.19402060 0.000000000 0.194020598
## 12 Indiv -> Stimulation 0.22427325 0.000000000 0.224273251
## 13 Indiv -> UseIntention 0.00000000 0.006173508 0.006173508
## 14 PerRisk -> Trust 0.00000000 0.000000000 0.000000000
## 15 PerRisk -> Intimicy 0.00000000 0.000000000 0.000000000
## 16 PerRisk -> Hedonism 0.00000000 0.000000000 0.000000000
## 17 PerRisk -> Stimulation 0.00000000 0.000000000 0.000000000
## 18 PerRisk -> UseIntention -0.35008281 0.000000000 -0.350082808
## 19 Trust -> Intimicy 0.00000000 0.000000000 0.000000000
## 20 Trust -> Hedonism 0.00000000 0.000000000 0.000000000
## 21 Trust -> Stimulation 0.00000000 0.000000000 0.000000000
## 22 Trust -> UseIntention 0.09272707 0.000000000 0.092727067
## 23 Intimicy -> Hedonism 0.00000000 0.000000000 0.000000000
## 24 Intimicy -> Stimulation 0.00000000 0.000000000 0.000000000
## 25 Intimicy -> UseIntention 0.14931912 0.000000000 0.149319119
## 26 Hedonism -> Stimulation 0.00000000 0.000000000 0.000000000
## 27 Hedonism -> UseIntention 0.07849148 0.000000000 0.078491482
## 28 Stimulation -> UseIntention 0.04203582 0.000000000 0.042035817MikoPLS4$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.00000000 0.5522322 0.00000000 0.5522322
## Indiv Exogenous 0.00000000 0.3028735 0.00000000 0.3028735
## PerRisk Endogenous 0.03498313 0.4367975 0.01528054 0.4367975
## Trust Endogenous 0.03936783 0.5497521 0.02164255 0.5497521
## Intimicy Endogenous 0.01532189 0.7085062 0.01085566 0.7085062
## Hedonism Endogenous 0.03764399 0.6799856 0.02559737 0.6799856
## Stimulation Endogenous 0.05029849 0.7878214 0.03962623 0.7878214
## UseIntention Endogenous 0.19846072 0.8764440 0.17393970 0.8764440plot(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 -0.1870 -0.3872 -0.1373 0.2499 0.2028 114
## UncAv->Trust 0.1984 0.2798 0.1032 0.1766 0.6105 114
## Indiv->Intimicy -0.1238 -0.3291 -0.3822 0.0531 0.2574 114
## Indiv->Hedonism 0.1940 -0.1599 0.1377 0.2976 0.1020 114
## Indiv->Stimulation 0.2243 -0.4120 0.1830 0.5950 0.6646 114
## PerRisk->UseIntention -0.3501 -0.2870 -0.3501 0.0631 0.7925 114
## Trust->UseIntention 0.0927 0.2099 0.2120 0.0021 0.0558 114
## Intimicy->UseIntention 0.1493 0.3679 0.1553 0.2126 1.3542 114
## Hedonism->UseIntention 0.0785 -0.0056 0.0626 0.0683 0.1953 114
## Stimulation->UseIntention 0.0420 -0.0235 0.0609 0.0844 0.4915 114
## p.value sig.05
## UncAv->PerRisk 0.4198 no
## UncAv->Trust 0.2714 no
## Indiv->Intimicy 0.3987 no
## Indiv->Hedonism 0.4595 no
## Indiv->Stimulation 0.2538 no
## PerRisk->UseIntention 0.2149 no
## Trust->UseIntention 0.4778 no
## Intimicy->UseIntention 0.0892 no
## Hedonism->UseIntention 0.4227 no
## Stimulation->UseIntention 0.3120 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 0.9290722 0.9551435 2.629887 0.2936082MikoPLS4$crossloadings## name block UncAv Indiv PerRisk Trust
## 1 UA1 UncAv 0.73837446 0.159717251 -0.145080249 0.15304175
## 2 UA2 UncAv 0.66464786 0.363214922 -0.068864472 0.14458242
## 3 UA3 UncAv 0.81838306 0.194268936 -0.182486674 0.14828611
## 4 IC1 Indiv 0.29936765 1.000000000 -0.039484124 0.02810128
## 5 PR1 PerRisk -0.02403844 0.215103181 0.510352447 -0.27630505
## 6 PR2 PerRisk -0.26848997 -0.183983210 0.688034260 -0.12194935
## 7 PR3 PerRisk -0.12357761 0.021845070 0.867275533 -0.37377383
## 8 PR4 PerRisk 0.09356683 0.030458364 0.511154408 -0.35130621
## 9 T1 Trust 0.10555438 0.006040745 -0.265249456 0.62013714
## 10 T2 Trust 0.18158621 0.063660528 -0.422768947 0.78191679
## 11 T3 Trust 0.14853439 -0.007045552 -0.173258432 0.80826708
## 12 I1 Intimicy 0.12760965 -0.094096077 -0.038219995 0.16988515
## 13 I2 Intimicy 0.08171154 0.017968611 0.002549447 0.07200515
## 14 I3 Intimicy -0.03834001 -0.155575207 -0.101659079 0.15328348
## 15 Hed1 Hedonism 0.20626309 0.197497908 0.036756250 -0.05930209
## 16 Hed2 Hedonism 0.21539956 0.172096017 -0.043576156 0.07516794
## 17 Stim1 Stimulation 0.01664507 0.121220046 0.037418509 0.04089510
## 18 Stim2 Stimulation -0.03223358 0.214732994 -0.035748992 0.11160692
## 19 UI1 UseIntention 0.09964825 0.051956851 -0.356196176 0.24375304
## 20 UI2 UseIntention 0.16284288 0.109929558 -0.368881708 0.24163814
## 21 UI3 UseIntention 0.09055469 0.093566665 -0.397694881 0.23619647
## Intimicy Hedonism Stimulation UseIntention
## 1 0.022794973 0.116544938 0.063762661 0.10385584
## 2 -0.008514056 0.316364480 0.118935086 -0.02756949
## 3 0.063755848 0.171023120 -0.154608539 0.16688318
## 4 -0.118866286 0.216003563 0.192690221 0.09012139
## 5 -0.105651917 0.011747260 -0.040464084 -0.08051564
## 6 -0.017653572 -0.003750278 0.001857879 -0.14139861
## 7 -0.057525744 -0.071439797 -0.007760384 -0.45176654
## 8 -0.094253740 0.197472710 0.042630891 -0.23966688
## 9 0.104843897 -0.108732022 -0.074892310 0.15935616
## 10 -0.008046619 0.034710601 0.163324634 0.16664072
## 11 0.254721451 0.093151642 0.075791402 0.23788682
## 12 0.824455853 -0.108973407 -0.040154441 0.10907534
## 13 0.766974550 -0.054354800 -0.092730081 0.15250604
## 14 0.922972601 -0.058575442 -0.054819120 0.18185624
## 15 -0.014435004 0.755275096 0.023052945 -0.01064538
## 16 -0.108842500 0.901667968 0.218670737 0.11110585
## 17 -0.098744752 0.161028480 0.870914204 0.08159612
## 18 -0.025682355 0.137397802 0.903532604 0.01786169
## 19 0.216626007 0.084257887 0.050361223 0.96091407
## 20 0.162789125 0.108607345 0.057847040 0.96076978
## 21 0.115082083 0.006621218 0.041069008 0.88483049MikoPLS4$inner_model## $PerRisk
## Estimate Std. Error t value Pr(>|t|)
## Intercept -1.609922e-16 0.09200652 -1.749791e-15 1.00000000
## UncAv -1.869951e-01 0.09200652 -2.032412e+00 0.04443604
##
## $Trust
## Estimate Std. Error t value Pr(>|t|)
## Intercept 2.863403e-17 0.09179648 3.119295e-16 1.00000000
## UncAv 1.984144e-01 0.09179648 2.161460e+00 0.03275106
##
## $Intimicy
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.131980e-17 0.09299457 1.217254e-16 1.0000000
## Indiv -1.188663e-01 0.09299457 -1.278207e+00 0.2037729
##
## $Hedonism
## Estimate Std. Error t value Pr(>|t|)
## Intercept -2.323866e-16 0.09144754 -2.541201e-15 1.00000000
## Indiv 2.160036e-01 0.09144754 2.362049e+00 0.01986975
##
## $Stimulation
## Estimate Std. Error t value Pr(>|t|)
## Intercept -4.037662e-17 0.09190339 -4.393377e-16 1.00000000
## Indiv 1.926902e-01 0.09190339 2.096661e+00 0.03823517
##
## $UseIntention
## Estimate Std. Error t value Pr(>|t|)
## Intercept 1.977735e-16 0.08542925 2.315056e-15 1.0000000000
## PerRisk -3.502291e-01 0.09241186 -3.789871e+00 0.0002464216
## Trust 9.372001e-02 0.09394294 9.976270e-01 0.3206497771
## Intimicy 1.471541e-01 0.08718083 1.687918e+00 0.0942602970
## Hedonism 7.246363e-02 0.08691948 8.336869e-01 0.4062641186
## Stimulation 4.235558e-02 0.08723030 4.855604e-01 0.6282446403MikoPLS4$outer_model## name block weight loading communality redundancy
## 1 UA1 UncAv 0.4711676 0.7383745 0.5451968 0.000000000
## 2 UA2 UncAv 0.3374086 0.6646479 0.4417568 0.000000000
## 3 UA3 UncAv 0.5227919 0.8183831 0.6697508 0.000000000
## 4 IC1 Indiv 1.0000000 1.0000000 1.0000000 0.000000000
## 5 PR1 PerRisk 0.1150837 0.5103524 0.2604596 0.009107537
## 6 PR2 PerRisk 0.4509109 0.6880343 0.4733911 0.016553151
## 7 PR3 PerRisk 0.6328451 0.8672755 0.7521668 0.026301149
## 8 PR4 PerRisk 0.1607606 0.5111544 0.2612788 0.009136182
## 9 T1 Trust 0.3537338 0.6201371 0.3845701 0.015139865
## 10 T2 Trust 0.4649665 0.7819168 0.6113939 0.024069529
## 11 T3 Trust 0.5160069 0.8082671 0.6532957 0.025719131
## 12 I1 Intimicy 0.3490137 0.8244559 0.6797275 0.009604001
## 13 I2 Intimicy 0.2311133 0.7669746 0.5882500 0.008311498
## 14 I3 Intimicy 0.5796441 0.9229726 0.8518784 0.012036356
## 15 Hed1 Hedonism 0.4712798 0.7552751 0.5704405 0.026615349
## 16 Hed2 Hedonism 0.7142918 0.9016680 0.8130051 0.037932819
## 17 Stim1 Stimulation 0.5243551 0.8709142 0.7584916 0.028162428
## 18 Stim2 Stimulation 0.6013416 0.9035326 0.8163712 0.030311471
## 19 UI1 UseIntention 0.3771823 0.9609141 0.9233558 0.182088329
## 20 UI2 UseIntention 0.3726521 0.9607698 0.9230786 0.182033651
## 21 UI3 UseIntention 0.3159107 0.8848305 0.7829250 0.154394976MikoPLS4$path_coefs## UncAv Indiv PerRisk Trust Intimicy Hedonism
## UncAv 0.0000000 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000
## Indiv 0.0000000 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000
## PerRisk -0.1869951 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000
## Trust 0.1984144 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000
## Intimicy 0.0000000 -0.1188663 0.0000000 0.00000000 0.0000000 0.00000000
## Hedonism 0.0000000 0.2160036 0.0000000 0.00000000 0.0000000 0.00000000
## Stimulation 0.0000000 0.1926902 0.0000000 0.00000000 0.0000000 0.00000000
## UseIntention 0.0000000 0.0000000 -0.3502291 0.09372001 0.1471541 0.07246363
## Stimulation UseIntention
## UncAv 0.00000000 0
## Indiv 0.00000000 0
## PerRisk 0.00000000 0
## Trust 0.00000000 0
## Intimicy 0.00000000 0
## Hedonism 0.00000000 0
## Stimulation 0.00000000 0
## UseIntention 0.04235558 0MikoPLS4$gof## [1] 0.1982114MikoPLS4$effects## relationships direct indirect total
## 1 UncAv -> Indiv 0.00000000 0.000000000 0.000000000
## 2 UncAv -> PerRisk -0.18699512 0.000000000 -0.186995118
## 3 UncAv -> Trust 0.19841443 0.000000000 0.198414432
## 4 UncAv -> Intimicy 0.00000000 0.000000000 0.000000000
## 5 UncAv -> Hedonism 0.00000000 0.000000000 0.000000000
## 6 UncAv -> Stimulation 0.00000000 0.000000000 0.000000000
## 7 UncAv -> UseIntention 0.00000000 0.084086531 0.084086531
## 8 Indiv -> PerRisk 0.00000000 0.000000000 0.000000000
## 9 Indiv -> Trust 0.00000000 0.000000000 0.000000000
## 10 Indiv -> Intimicy -0.11886629 0.000000000 -0.118866286
## 11 Indiv -> Hedonism 0.21600356 0.000000000 0.216003563
## 12 Indiv -> Stimulation 0.19269022 0.000000000 0.192690221
## 13 Indiv -> UseIntention 0.00000000 0.006322244 0.006322244
## 14 PerRisk -> Trust 0.00000000 0.000000000 0.000000000
## 15 PerRisk -> Intimicy 0.00000000 0.000000000 0.000000000
## 16 PerRisk -> Hedonism 0.00000000 0.000000000 0.000000000
## 17 PerRisk -> Stimulation 0.00000000 0.000000000 0.000000000
## 18 PerRisk -> UseIntention -0.35022908 0.000000000 -0.350229075
## 19 Trust -> Intimicy 0.00000000 0.000000000 0.000000000
## 20 Trust -> Hedonism 0.00000000 0.000000000 0.000000000
## 21 Trust -> Stimulation 0.00000000 0.000000000 0.000000000
## 22 Trust -> UseIntention 0.09372001 0.000000000 0.093720013
## 23 Intimicy -> Hedonism 0.00000000 0.000000000 0.000000000
## 24 Intimicy -> Stimulation 0.00000000 0.000000000 0.000000000
## 25 Intimicy -> UseIntention 0.14715413 0.000000000 0.147154130
## 26 Hedonism -> Stimulation 0.00000000 0.000000000 0.000000000
## 27 Hedonism -> UseIntention 0.07246363 0.000000000 0.072463632
## 28 Stimulation -> UseIntention 0.04235558 0.000000000 0.042355580MikoPLS4$inner_summary## Type R2 Block_Communality Mean_Redundancy AVE
## UncAv Exogenous 0.00000000 0.5522348 0.000000000 0.5522348
## Indiv Exogenous 0.00000000 1.0000000 0.000000000 1.0000000
## PerRisk Endogenous 0.03496717 0.4368241 0.015274505 0.4368241
## Trust Endogenous 0.03936829 0.5497532 0.021642842 0.5497532
## Intimicy Endogenous 0.01412919 0.7066186 0.009983951 0.7066186
## Hedonism Endogenous 0.04665754 0.6917228 0.032274084 0.6917228
## Stimulation Endogenous 0.03712952 0.7874314 0.029236950 0.7874314
## UseIntention Endogenous 0.19720277 0.8764531 0.172838985 0.8764531plot(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 -0.1870 -0.3877 -0.1373 0.2503 0.0103 114
## UncAv->Trust 0.1984 0.2798 0.1032 0.1767 0.4269 114
## Indiv->Intimicy -0.1189 0.1766 -0.3608 0.5374 3.2853 114
## Indiv->Hedonism 0.2160 0.3020 0.1034 0.1986 1.1660 114
## Indiv->Stimulation 0.1927 0.4505 0.0350 0.4155 2.5202 114
## PerRisk->UseIntention -0.3502 -0.2915 -0.3518 0.0603 1.0235 114
## Trust->UseIntention 0.0937 0.2106 0.2107 0.0001 0.1255 114
## Intimicy->UseIntention 0.1472 0.3728 0.1552 0.2177 1.3682 114
## Hedonism->UseIntention 0.0725 0.0048 0.0595 0.0547 0.1142 114
## Stimulation->UseIntention 0.0424 -0.0389 0.0754 0.1143 0.4297 114
## p.value sig.05
## UncAv->PerRisk 0.4959 no
## UncAv->Trust 0.3351 no
## Indiv->Intimicy 0.0007 yes
## Indiv->Hedonism 0.1230 no
## Indiv->Stimulation 0.0066 yes
## PerRisk->UseIntention 0.1541 no
## Trust->UseIntention 0.4502 no
## Intimicy->UseIntention 0.0870 no
## Hedonism->UseIntention 0.4547 no
## Stimulation->UseIntention 0.3341 no
##
## Inner models in the following objects:
## $global
## $group1
## $group2