Financial transactions pre-test

Scale analysis

Data - ALL (N=60)

Descriptive stats

Descriptive Statistics for Age:

   vars  n  mean    sd median trimmed   mad min max range skew kurtosis   se
X1    1 60 41.23 13.85     37   40.38 14.83  19  70    51 0.43    -1.04 1.79

Frequency Counts for Sex:

DATA_EXPIRED       Female         Male 
           1           37           22 

Frequency Counts for Employment.status:

                                            DATA_EXPIRED 
                                                      17 
                                               Full-Time 
                                                      25 
Not in paid work (e.g. homemaker', 'retired or disabled) 
                                                       8 
                                                   Other 
                                                       2 
                                               Part-Time 
                                                       7 
                            Unemployed (and job seeking) 
                                                       1 

Frequency Counts for Student.status:

DATA_EXPIRED           No          Yes 
          13           42            5 

Enjoyment

   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  1.000   3.660   4.460   4.131   4.808   5.000 

Age

Employment status

Perceived sustainability

   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
    2.0     2.0     3.0     2.7     3.0     5.0 

Data quality

Completion time

### Completion time
summary(data$duration_minutes)

   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  2.700   4.875   6.008   7.014   7.258  42.383 

hist(data$duration_minutes)

### Outliers defined as 3 std. deviations below or above the mean.
mean_completiontime <- mean(data_short$duration_minutes, na.rm = TRUE)
std_completiontime <- sd(data_short$duration_minutes, na.rm = TRUE)
lower_threshold <- max(0, mean_completiontime - 3 * std_completiontime)
upper_threshold <- mean_completiontime + (3 * std_completiontime)
data_short$outliers_completion <- data_short$duration_minutes < lower_threshold | data_short$duration_minutes > upper_threshold

Attention

   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
 0.8836  1.1278  1.3730  1.4386  1.6641  2.5750 

[1] 20

[1] 36

Analysis

1. Descriptive analysis

     vars  n mean   sd median trimmed  mad min max range  skew kurtosis   se
EEC1    1 60 5.57 1.39      6    5.77 1.48   1   7     6 -1.20     1.19 0.18
EEC2    2 60 5.48 1.31      6    5.65 1.48   1   7     6 -1.10     1.33 0.17
EEC3    3 60 5.12 1.30      5    5.23 1.48   1   7     6 -0.98     0.59 0.17
EEC4    4 60 5.18 1.28      5    5.31 1.48   1   7     6 -1.05     1.12 0.17
EEF1    5 60 5.35 1.38      6    5.52 1.48   1   7     6 -1.17     0.93 0.18
EEF2    6 60 5.18 1.41      6    5.31 1.48   1   7     6 -1.07     0.76 0.18
EEF3    7 60 4.82 1.46      5    4.85 1.48   1   7     6 -0.56    -0.28 0.19
WTA1    8 60 4.37 1.90      5    4.46 1.48   1   7     6 -0.45    -0.93 0.25
WTA2    9 60 4.42 1.85      5    4.52 1.48   1   7     6 -0.51    -0.87 0.24
WTA3   10 60 4.77 1.57      5    4.92 1.48   1   7     6 -0.87     0.02 0.20
WTA4   11 60 5.67 1.46      6    5.90 1.48   1   7     6 -1.23     0.93 0.19
PA1    12 60 4.67 1.70      5    4.77 1.48   1   7     6 -0.53    -0.68 0.22
PA2    13 60 4.18 1.60      4    4.15 1.48   1   7     6  0.05    -0.82 0.21
PA3    14 60 5.45 1.51      6    5.67 1.48   1   7     6 -0.95     0.36 0.20
PSP    15 60 2.70 0.79      3    2.58 1.48   2   5     3  0.97     0.47 0.10
EO     16 60 5.73 1.27      6    5.90 1.48   2   7     5 -0.86     0.00 0.16
TO     17 60 4.22 1.44      4    4.25 1.48   1   7     6 -0.17    -0.87 0.19
ADT    18 60 5.07 1.33      5    5.17 1.48   1   7     6 -0.63     0.52 0.17

Kaiser-Meyer-Olkin factor adequacy
Call: KMO(r = data_efa_1)
Overall MSA =  0.8
MSA for each item = 
EEC1 EEC2 EEC3 EEC4 EEF1 EEF2 EEF3 WTA1 WTA2 WTA3 WTA4  PA1  PA2  PA3  PSP   EO 
0.86 0.80 0.76 0.88 0.92 0.88 0.82 0.87 0.81 0.75 0.79 0.59 0.73 0.67 0.45 0.82 
  TO  ADT 
0.31 0.86 

GGplots for histogram per item

Warning: The dot-dot notation (`..density..`) was deprecated in ggplot2 3.4.0.
ℹ Please use `after_stat(density)` instead.

2. CFA

model1<-'
  EEC =~ EEC1 + EEC3 + EEC4
  EEF =~ EEF1 + EEF2 + EEF3
  WTA =~ WTA1 + WTA2 + WTA3 + WTA4
  PA =~ PA1 + PA2 + PA3
  PerceivedS =~ PSP
  Env =~ EO
  Tech =~ TO
  Attitude =~ ADT'
fit1<-cfa(model1, data = data_short, estimator = "MLR")
summary(fit1, ci = TRUE, fit.measures=TRUE, rsquare=TRUE,standardized=TRUE)

lavaan 0.6-19 ended normally after 64 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        58

  Number of observations                            60

Model Test User Model:
                                              Standard      Scaled
  Test Statistic                               122.957     127.016
  Degrees of freedom                                95          95
  P-value (Chi-square)                           0.028       0.016
  Scaling correction factor                                  0.968
    Yuan-Bentler correction (Mplus variant)                       

Model Test Baseline Model:

  Test statistic                               635.477     590.486
  Degrees of freedom                               136         136
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.076

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.944       0.930
  Tucker-Lewis Index (TLI)                       0.920       0.899
                                                                  
  Robust Comparative Fit Index (CFI)                         0.937
  Robust Tucker-Lewis Index (TLI)                            0.909

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -1544.531   -1544.531
  Scaling correction factor                                  1.268
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -1483.053   -1483.053
  Scaling correction factor                                  1.082
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                3205.062    3205.062
  Bayesian (BIC)                              3326.534    3326.534
  Sample-size adjusted Bayesian (SABIC)       3144.109    3144.109

Root Mean Square Error of Approximation:

  RMSEA                                          0.070       0.075
  90 Percent confidence interval - lower         0.024       0.033
  90 Percent confidence interval - upper         0.103       0.108
  P-value H_0: RMSEA <= 0.050                    0.188       0.135
  P-value H_0: RMSEA >= 0.080                    0.334       0.422
                                                                  
  Robust RMSEA                                               0.074
  90 Percent confidence interval - lower                     0.034
  90 Percent confidence interval - upper                     0.105
  P-value H_0: Robust RMSEA <= 0.050                         0.138
  P-value H_0: Robust RMSEA >= 0.080                         0.395

Standardized Root Mean Square Residual:

  SRMR                                           0.062       0.062

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
  EEC =~                                                                
    EEC1              1.000                               1.000    1.000
    EEC3              0.968    0.272    3.552    0.000    0.434    1.501
    EEC4              1.373    0.452    3.038    0.002    0.487    2.259
  EEF =~                                                                
    EEF1              1.000                               1.000    1.000
    EEF2              1.027    0.101   10.199    0.000    0.830    1.225
    EEF3              0.960    0.108    8.881    0.000    0.748    1.171
  WTA =~                                                                
    WTA1              1.000                               1.000    1.000
    WTA2              1.052    0.171    6.145    0.000    0.717    1.388
    WTA3              1.171    0.201    5.819    0.000    0.777    1.566
    WTA4              0.974    0.190    5.130    0.000    0.602    1.346
  PA =~                                                                 
    PA1               1.000                               1.000    1.000
    PA2               2.347    1.348    1.741    0.082   -0.296    4.990
    PA3               1.987    0.895    2.220    0.026    0.233    3.741
  PerceivedS =~                                                         
    PSP               1.000                               1.000    1.000
  Env =~                                                                
    EO                1.000                               1.000    1.000
  Tech =~                                                               
    TO                1.000                               1.000    1.000
  Attitude =~                                                           
    ADT               1.000                               1.000    1.000
   Std.lv  Std.all
                  
    0.795    0.575
    0.769    0.595
    1.091    0.858
                  
    1.220    0.894
    1.253    0.898
    1.171    0.811
                  
    1.263    0.669
    1.329    0.723
    1.480    0.953
    1.230    0.851
                  
    0.612    0.362
    1.437    0.906
    1.216    0.811
                  
    0.781    1.000
                  
    1.263    1.000
                  
    1.427    1.000
                  
    1.315    1.000

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
  EEC ~~                                                                
    EEF               0.941    0.442    2.129    0.033    0.075    1.807
    WTA               0.719    0.367    1.960    0.050    0.000    1.437
    PA               -0.149    0.139   -1.072    0.284   -0.421    0.123
    PerceivedS       -0.098    0.133   -0.738    0.461   -0.359    0.163
    Env               0.501    0.216    2.313    0.021    0.076    0.925
    Tech              0.139    0.129    1.078    0.281   -0.114    0.392
    Attitude          0.561    0.264    2.123    0.034    0.043    1.079
  EEF ~~                                                                
    WTA               1.069    0.374    2.862    0.004    0.337    1.802
    PA               -0.221    0.145   -1.521    0.128   -0.505    0.064
    PerceivedS       -0.150    0.188   -0.798    0.425   -0.519    0.219
    Env               0.725    0.227    3.192    0.001    0.280    1.170
    Tech              0.122    0.192    0.635    0.526   -0.254    0.497
    Attitude          0.750    0.283    2.646    0.008    0.194    1.305
  WTA ~~                                                                
    PA               -0.315    0.199   -1.584    0.113   -0.704    0.075
    PerceivedS       -0.259    0.197   -1.310    0.190   -0.645    0.128
    Env               0.556    0.281    1.980    0.048    0.006    1.106
    Tech              0.273    0.217    1.259    0.208   -0.152    0.699
    Attitude          0.749    0.342    2.189    0.029    0.079    1.420
  PA ~~                                                                 
    PerceivedS        0.169    0.111    1.518    0.129   -0.049    0.386
    Env              -0.075    0.120   -0.623    0.533   -0.310    0.160
    Tech             -0.154    0.197   -0.783    0.434   -0.541    0.232
    Attitude         -0.393    0.265   -1.483    0.138   -0.912    0.126
  PerceivedS ~~                                                         
    Env               0.103    0.162    0.637    0.524   -0.214    0.421
    Tech             -0.085    0.131   -0.649    0.516   -0.342    0.172
    Attitude         -0.347    0.154   -2.246    0.025   -0.649   -0.044
  Env ~~                                                                
    Tech             -0.142    0.232   -0.614    0.539   -0.596    0.312
    Attitude          0.351    0.194    1.812    0.070   -0.029    0.731
  Tech ~~                                                               
    Attitude          0.419    0.237    1.764    0.078   -0.046    0.884
   Std.lv  Std.all
                  
    0.970    0.970
    0.716    0.716
   -0.306   -0.306
   -0.158   -0.158
    0.499    0.499
    0.123    0.123
    0.537    0.537
                  
    0.694    0.694
   -0.296   -0.296
   -0.158   -0.158
    0.470    0.470
    0.070    0.070
    0.467    0.467
                  
   -0.407   -0.407
   -0.262   -0.262
    0.348    0.348
    0.152    0.152
    0.451    0.451
                  
    0.353    0.353
   -0.097   -0.097
   -0.177   -0.177
   -0.488   -0.488
                  
    0.105    0.105
   -0.076   -0.076
   -0.338   -0.338
                  
   -0.079   -0.079
    0.211    0.211
                  
    0.223    0.223

Variances:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
   .EEC1              1.280    0.441    2.900    0.004    0.415    2.146
   .EEC3              1.078    0.240    4.495    0.000    0.608    1.548
   .EEC4              0.425    0.138    3.076    0.002    0.154    0.696
   .EEF1              0.373    0.141    2.640    0.008    0.096    0.649
   .EEF2              0.379    0.131    2.895    0.004    0.122    0.635
   .EEF3              0.713    0.181    3.943    0.000    0.359    1.067
   .WTA1              1.970    0.455    4.335    0.000    1.079    2.861
   .WTA2              1.609    0.429    3.748    0.000    0.768    2.451
   .WTA3              0.223    0.171    1.304    0.192   -0.112    0.558
   .WTA4              0.576    0.129    4.466    0.000    0.323    0.829
   .PA1               2.481    0.618    4.016    0.000    1.270    3.692
   .PA2               0.453    0.426    1.064    0.287   -0.381    1.287
   .PA3               0.768    0.317    2.425    0.015    0.147    1.389
   .PSP               0.000                               0.000    0.000
   .EO                0.000                               0.000    0.000
   .TO                0.000                               0.000    0.000
   .ADT               0.000                               0.000    0.000
    EEC               0.632    0.448    1.410    0.158   -0.246    1.510
    EEF               1.488    0.435    3.424    0.001    0.636    2.340
    WTA               1.595    0.546    2.923    0.003    0.526    2.665
    PA                0.375    0.387    0.968    0.333   -0.384    1.133
    PerceivedS        0.610    0.127    4.818    0.000    0.362    0.858
    Env               1.596    0.298    5.345    0.000    1.011    2.181
    Tech              2.036    0.289    7.048    0.000    1.470    2.603
    Attitude          1.729    0.363    4.767    0.000    1.018    2.440
   Std.lv  Std.all
    1.280    0.670
    1.078    0.646
    0.425    0.263
    0.373    0.200
    0.379    0.194
    0.713    0.342
    1.970    0.553
    1.609    0.477
    0.223    0.092
    0.576    0.276
    2.481    0.869
    0.453    0.180
    0.768    0.342
    0.000    0.000
    0.000    0.000
    0.000    0.000
    0.000    0.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000

R-Square:
                   Estimate
    EEC1              0.330
    EEC3              0.354
    EEC4              0.737
    EEF1              0.800
    EEF2              0.806
    EEF3              0.658
    WTA1              0.447
    WTA2              0.523
    WTA3              0.908
    WTA4              0.724
    PA1               0.131
    PA2               0.820
    PA3               0.658
    PSP               1.000
    EO                1.000
    TO                1.000
    ADT               1.000

lavaanPlot(model = fit1, node_options = list(shape = "box", fontname = "Helvetica"), edge_options = list(color = "grey"),
           coefs = T, stand=T)

#Construct Reliability:
semTools::compRelSEM(fit1, tau.eq=T, obs.var=T) #Cronbach Alpha

  EEC   EEF   WTA    PA 
0.727 0.900 0.870 0.711 

semTools::compRelSEM(fit1, tau.eq=F, obs.var=T) #Omega

  EEC   EEF   WTA    PA 
0.699 0.902 0.853 0.736 

AVE(fit1, obs.var = TRUE, omit.imps = c("no.conv", "no.se"),
    omit.factors = character(0), dropSingle = TRUE, return.df = TRUE)

  EEC   EEF   WTA    PA 
0.464 0.752 0.617 0.514 

#Standardized residuals
lavResiduals(fit1, type = "cor.bentler", custom.rmr = NULL,
             se = FALSE, zstat = TRUE, summary = TRUE, h1.acov = "unstructured",
             add.type = TRUE, add.labels = TRUE, add.class = TRUE,
             drop.list.single.group = TRUE,
             maximum.number = length(res.vech), output = "list")

$type
[1] "cor.bentler"

$cov
       EEC1   EEC3   EEC4   EEF1   EEF2   EEF3   WTA1   WTA2   WTA3   WTA4
EEC1  0.000                                                               
EEC3  0.097  0.000                                                        
EEC4 -0.031  0.004  0.000                                                 
EEF1  0.068  0.018  0.006  0.000                                          
EEF2  0.007 -0.059 -0.006  0.004  0.000                                   
EEF3 -0.041  0.062 -0.021 -0.024  0.016  0.000                            
WTA1  0.105  0.169  0.158  0.033  0.051  0.052  0.000                     
WTA2 -0.102 -0.034  0.072 -0.015  0.013  0.118  0.125  0.000              
WTA3 -0.067 -0.035  0.027 -0.073 -0.013  0.069 -0.023  0.005  0.000       
WTA4 -0.022 -0.038 -0.091 -0.013  0.045  0.107 -0.018 -0.049  0.009  0.000
PA1  -0.112 -0.115 -0.032  0.067  0.066  0.110 -0.062  0.103 -0.042  0.066
PA2  -0.010 -0.065  0.014  0.117 -0.091 -0.088  0.024  0.052 -0.017 -0.030
PA3  -0.037 -0.026  0.047  0.113 -0.071 -0.045  0.057  0.019  0.023  0.012
PSP   0.202 -0.152 -0.010  0.036 -0.068  0.064  0.103  0.137 -0.042  0.031
EO    0.115 -0.022 -0.024  0.059 -0.026 -0.061  0.080 -0.089 -0.032  0.120
TO   -0.141 -0.069  0.057 -0.024  0.043 -0.037 -0.057 -0.106  0.029 -0.021
ADT  -0.119  0.039  0.020 -0.022  0.019  0.005  0.091 -0.041 -0.006  0.005
        PA1    PA2    PA3    PSP     EO     TO    ADT
EEC1                                                 
EEC3                                                 
EEC4                                                 
EEF1                                                 
EEF2                                                 
EEF3                                                 
WTA1                                                 
WTA2                                                 
WTA3                                                 
WTA4                                                 
PA1   0.000                                          
PA2  -0.038  0.000                                   
PA3   0.061  0.002  0.000                            
PSP   0.074 -0.006  0.000  0.000                     
EO   -0.100  0.012 -0.008  0.000  0.000              
TO   -0.058  0.039 -0.074  0.000  0.000  0.000       
ADT  -0.053 -0.028  0.068  0.000  0.000  0.000  0.000

$cov.z
       EEC1   EEC3   EEC4   EEF1   EEF2   EEF3   WTA1   WTA2   WTA3   WTA4
EEC1  0.000                                                               
EEC3  1.270  0.000                                                        
EEC4 -0.439  0.042  0.000                                                 
EEF1  0.934  0.307  0.153  0.000                                          
EEF2  0.154 -1.002 -0.139  0.101  0.000                                   
EEF3 -0.833  0.890 -0.467 -0.759  0.349  0.000                            
WTA1  0.986  1.800  1.856  0.412  0.911  0.718  0.000                     
WTA2 -1.055 -0.368  0.928 -0.183  0.172  1.205  1.280  0.000              
WTA3 -1.044 -0.484  0.626 -1.943 -0.364  1.122 -0.621  0.098  0.000       
WTA4 -0.239 -0.458 -1.500 -0.171  0.728  1.719 -0.409 -0.830  0.175  0.000
PA1  -0.863 -0.848 -0.235  0.524  0.603  1.025 -0.546  0.828 -0.385  0.516
PA2  -0.099 -0.644  0.196  1.767 -1.411 -1.365  0.218  0.656 -0.310 -0.486
PA3  -0.414 -0.251  0.594  1.644 -1.020 -0.429  0.489  0.217  0.338  0.170
PSP   1.987 -1.646 -0.116  0.447 -1.206  0.943  1.083  1.367 -0.785  0.459
EO    1.064 -0.258 -0.354  0.998 -0.480 -1.002  0.974 -0.886 -0.615  1.662
TO   -1.304 -0.653  0.813 -0.401  0.756 -0.503 -0.560 -1.231  0.530 -0.249
ADT  -1.425  0.391  0.431 -0.594  0.433  0.100  0.888 -0.474 -0.180  0.087
        PA1    PA2    PA3    PSP     EO     TO    ADT
EEC1                                                 
EEC3                                                 
EEC4                                                 
EEF1                                                 
EEF2                                                 
EEF3                                                 
WTA1                                                 
WTA2                                                 
WTA3                                                 
WTA4                                                 
PA1   0.000                                          
PA2  -0.508  0.000                                   
PA3   0.661  0.019  0.000                            
PSP   0.585 -0.062 -0.002  0.000                     
EO   -0.902  0.155 -0.094  0.000  0.000              
TO   -0.530  0.637 -0.839  0.000  0.000  0.000       
ADT  -0.556 -0.522  1.046  0.000  0.000  0.000  0.000

$summary
                           cov
srmr                     0.062
srmr.se                  0.014
srmr.exactfit.z          0.000
srmr.exactfit.pvalue     0.500
usrmr                    0.000
usrmr.se                 0.023
usrmr.ci.lower          -0.037
usrmr.ci.upper           0.037
usrmr.closefit.h0.value  0.050
usrmr.closefit.z        -2.197
usrmr.closefit.pvalue    0.986

4. Correlation Analysis

Barlett test

$chisq
[1] 654.0667

$p.value
[1] 4.0004e-63

$df
[1] 153

Correlation matrix

            EEC1        EEC2         EEC3       EEC4        EEF1       EEF2
EEC1  1.00000000  0.62771548  0.438695535  0.4623062  0.56634864  0.5072526
EEC2  0.62771548  1.00000000  0.622540134  0.8253916  0.77084040  0.7239289
EEC3  0.43869554  0.62254013  1.000000000  0.5145225  0.53469424  0.4592427
EEC4  0.46230619  0.82539161  0.514522546  1.0000000  0.75101924  0.7415235
EEF1  0.56634864  0.77084040  0.534694241  0.7510192  1.00000000  0.8063136
EEF2  0.50725257  0.72392888  0.459242707  0.7415235  0.80631359  1.0000000
EEF3  0.41113872  0.58139743  0.529796182  0.6541215  0.70135371  0.7444489
WTA1  0.37999350  0.51956484  0.453783893  0.5690488  0.44839901  0.4675573
WTA2  0.19568391  0.41191865  0.274341811  0.5166401  0.43385968  0.4639121
WTA3  0.32540955  0.61017025  0.370661348  0.6124975  0.51840809  0.5807430
WTA4  0.32800665  0.45925331  0.324245688  0.4323475  0.51566443  0.5753469
PA1  -0.17593195 -0.11657107 -0.180641871 -0.1267084 -0.02892076 -0.0306083
PA2  -0.16892552 -0.18883266 -0.229968498 -0.2232640 -0.12207744 -0.3312002
PA3  -0.17928113 -0.12896925 -0.173361173 -0.1657048 -0.10146459 -0.2862275
PSP   0.11110847 -0.13652516 -0.246063947 -0.1460260 -0.10481052 -0.2093717
EO    0.40138552  0.48547327  0.274337046  0.4040559  0.47975634  0.3962468
TO   -0.07066456  0.04246238  0.004368607  0.1618338  0.03809997  0.1055302
ADT   0.19004881  0.44032305  0.358370617  0.4812155  0.39584127  0.4381534
            EEF3        WTA1         WTA2       WTA3        WTA4          PA1
EEC1  0.41113872  0.37999350  0.195683910  0.3254096  0.32800665 -0.175931954
EEC2  0.58139743  0.51956484  0.411918655  0.6101702  0.45925331 -0.116571073
EEC3  0.52979618  0.45378389  0.274341811  0.3706613  0.32424569 -0.180641871
EEC4  0.65412148  0.56904877  0.516640111  0.6124975  0.43234748 -0.126708380
EEF1  0.70135371  0.44839901  0.433859684  0.5184081  0.51566443 -0.028920760
EEF2  0.74444888  0.46755728  0.463912125  0.5807430  0.57534685 -0.030608297
EEF3  1.00000000  0.42829156  0.525281105  0.6054690  0.58592507  0.022778848
WTA1  0.42829156  1.00000000  0.609245487  0.6145201  0.55166510 -0.160179307
WTA2  0.52528110  0.60924549  1.000000000  0.6939883  0.56690839 -0.003578376
WTA3  0.60546895  0.61452008  0.693988287  1.0000000  0.81919853 -0.182042161
WTA4  0.58592507  0.55166510  0.566908390  0.8191985  1.00000000 -0.059142253
PA1   0.02277885 -0.16017931 -0.003578376 -0.1820422 -0.05914225  1.000000000
PA2  -0.30562323 -0.22275016 -0.214896298 -0.3682274 -0.34408781  0.290149178
PA3  -0.23917186 -0.16426290 -0.219321233 -0.2913296 -0.26922121  0.355260851
PSP  -0.06357727 -0.07232696 -0.052260085 -0.2912802 -0.19194178  0.202049839
EO    0.32058031  0.31351115  0.162762447  0.2996046  0.41690243 -0.135341058
TO    0.01928647  0.04473972  0.003707737  0.1732074  0.10774558 -0.122103383
ADT   0.38408501  0.39292066  0.285127698  0.4238408  0.38881045 -0.230031056
             PA2         PA3         PSP          EO           TO        ADT
EEC1 -0.16892552 -0.17928113  0.11110847  0.40138552 -0.070664563  0.1900488
EEC2 -0.18883266 -0.12896925 -0.13652516  0.48547327  0.042462382  0.4403230
EEC3 -0.22996850 -0.17336117 -0.24606395  0.27433705  0.004368607  0.3583706
EEC4 -0.22326400 -0.16570484 -0.14602599  0.40405589  0.161833788  0.4812155
EEF1 -0.12207744 -0.10146459 -0.10481052  0.47975634  0.038099973  0.3958413
EEF2 -0.33120025 -0.28622754 -0.20937172  0.39624683  0.105530173  0.4381534
EEF3 -0.30562323 -0.23917186 -0.06357727  0.32058031  0.019286470  0.3840850
WTA1 -0.22275016 -0.16426290 -0.07232696  0.31351115  0.044739720  0.3929207
WTA2 -0.21489630 -0.21932123 -0.05226009  0.16276245  0.003707737  0.2851277
WTA3 -0.36822744 -0.29132963 -0.29128025  0.29960464  0.173207433  0.4238408
WTA4 -0.34408781 -0.26922121 -0.19194178  0.41690243  0.107745578  0.3888104
PA1   0.29014918  0.35526085  0.20204984 -0.13534106 -0.122103383 -0.2300311
PA2   1.00000000  0.73621740  0.31343744 -0.07541393 -0.120623459 -0.4693113
PA3   0.73621740  1.00000000  0.28610802 -0.08625197 -0.216967028 -0.3280553
PSP   0.31343744  0.28610802  1.00000000  0.10474169 -0.076264715 -0.3375698
EO   -0.07541393 -0.08625197  0.10474169  1.00000000 -0.078900751  0.2114000
TO   -0.12062346 -0.21696703 -0.07626471 -0.07890075  1.000000000  0.2232466
ADT  -0.46931126 -0.32805532 -0.33756983  0.21140004  0.223246644  1.0000000

     EEC1      EEC2 EEC3      EEC4      EEF1      EEF2 EEF3 WTA1 WTA2      WTA3
EEC1    1        NA   NA        NA        NA        NA   NA   NA   NA        NA
EEC2   NA 1.0000000   NA 0.8253916        NA        NA   NA   NA   NA        NA
EEC3   NA        NA    1        NA        NA        NA   NA   NA   NA        NA
EEC4   NA 0.8253916   NA 1.0000000        NA        NA   NA   NA   NA        NA
EEF1   NA        NA   NA        NA 1.0000000 0.8063136   NA   NA   NA        NA
EEF2   NA        NA   NA        NA 0.8063136 1.0000000   NA   NA   NA        NA
EEF3   NA        NA   NA        NA        NA        NA    1   NA   NA        NA
WTA1   NA        NA   NA        NA        NA        NA   NA    1   NA        NA
WTA2   NA        NA   NA        NA        NA        NA   NA   NA    1        NA
WTA3   NA        NA   NA        NA        NA        NA   NA   NA   NA 1.0000000
WTA4   NA        NA   NA        NA        NA        NA   NA   NA   NA 0.8191985
PA1    NA        NA   NA        NA        NA        NA   NA   NA   NA        NA
PA2    NA        NA   NA        NA        NA        NA   NA   NA   NA        NA
PA3    NA        NA   NA        NA        NA        NA   NA   NA   NA        NA
PSP    NA        NA   NA        NA        NA        NA   NA   NA   NA        NA
EO     NA        NA   NA        NA        NA        NA   NA   NA   NA        NA
TO     NA        NA   NA        NA        NA        NA   NA   NA   NA        NA
ADT    NA        NA   NA        NA        NA        NA   NA   NA   NA        NA
          WTA4 PA1 PA2 PA3 PSP EO TO ADT
EEC1        NA  NA  NA  NA  NA NA NA  NA
EEC2        NA  NA  NA  NA  NA NA NA  NA
EEC3        NA  NA  NA  NA  NA NA NA  NA
EEC4        NA  NA  NA  NA  NA NA NA  NA
EEF1        NA  NA  NA  NA  NA NA NA  NA
EEF2        NA  NA  NA  NA  NA NA NA  NA
EEF3        NA  NA  NA  NA  NA NA NA  NA
WTA1        NA  NA  NA  NA  NA NA NA  NA
WTA2        NA  NA  NA  NA  NA NA NA  NA
WTA3 0.8191985  NA  NA  NA  NA NA NA  NA
WTA4 1.0000000  NA  NA  NA  NA NA NA  NA
PA1         NA   1  NA  NA  NA NA NA  NA
PA2         NA  NA   1  NA  NA NA NA  NA
PA3         NA  NA  NA   1  NA NA NA  NA
PSP         NA  NA  NA  NA   1 NA NA  NA
EO          NA  NA  NA  NA  NA  1 NA  NA
TO          NA  NA  NA  NA  NA NA  1  NA
ADT         NA  NA  NA  NA  NA NA NA   1

4. Common method bias

Harman test

Factor Analysis using method =  minres
Call: fa(r = data_efa_1, nfactors = 1, rotate = "none")
Standardized loadings (pattern matrix) based upon correlation matrix
       MR1    h2   u2 com
EEC1  0.56 0.311 0.69   1
EEC2  0.83 0.694 0.31   1
EEC3  0.61 0.374 0.63   1
EEC4  0.83 0.695 0.30   1
EEF1  0.81 0.653 0.35   1
EEF2  0.84 0.709 0.29   1
EEF3  0.77 0.598 0.40   1
WTA1  0.67 0.445 0.55   1
WTA2  0.61 0.371 0.63   1
WTA3  0.79 0.628 0.37   1
WTA4  0.71 0.509 0.49   1
PA1  -0.18 0.032 0.97   1
PA2  -0.40 0.160 0.84   1
PA3  -0.34 0.115 0.89   1
PSP  -0.22 0.047 0.95   1
EO    0.47 0.218 0.78   1
TO    0.11 0.012 0.99   1
ADT   0.56 0.311 0.69   1

                MR1
SS loadings    6.88
Proportion Var 0.38

Mean item complexity =  1
Test of the hypothesis that 1 factor is sufficient.

df null model =  153  with the objective function =  12.54 with Chi Square =  654.07
df of  the model are 135  and the objective function was  5.15 

The root mean square of the residuals (RMSR) is  0.11 
The df corrected root mean square of the residuals is  0.12 

The harmonic n.obs is  60 with the empirical chi square  233.27  with prob <  3.2e-07 
The total n.obs was  60  with Likelihood Chi Square =  265.2  with prob <  1.6e-10 

Tucker Lewis Index of factoring reliability =  0.701
RMSEA index =  0.126  and the 90 % confidence intervals are  0.105 0.15
BIC =  -287.54
Fit based upon off diagonal values = 0.92
Measures of factor score adequacy             
                                                   MR1
Correlation of (regression) scores with factors   0.97
Multiple R square of scores with factors          0.94
Minimum correlation of possible factor scores     0.89

CFA for common method bia

model1 <- '#Testing common method bias using CFA
  # Measurement model
  EEC =~ EEC1 + EEC3 + EEC4
  EEF =~ EEF1 + EEF2 + EEF3
  WTA =~ WTA2 + WTA3 + WTA4
  PA =~ PA1 + PA2 + PA3
  PerceivedS =~ PSP
  Environ =~ EO
  TechScie =~ TO
  Atti =~ ADT
  
  # Common method factor
  CMF =~ EEC1 + EEC3 + EEC4 + EEF1 + EEF2 + EEF3 + WTA2 + WTA3 + WTA4 + PA1 + PA2 + PA3 + PSP + EO + TO + ADT
'
fit1<-cfa(model1, data = data_efa_1, estimator = "MLR")

Warning: lavaan->lav_model_vcov():  
   Could not compute standard errors! The information matrix could not be 
   inverted. This may be a symptom that the model is not identified.

Warning: lavaan->lav_test_yuan_bentler():  
   could not invert information [matrix needed for robust test statistic

Warning: lavaan->lav_object_post_check():  
   some estimated lv variances are negative

summary(fit1, fit.measures=TRUE, standardized=TRUE)

lavaan 0.6-19 ended normally after 110 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        84

  Number of observations                            60

Model Test User Model:
                                              Standard      Scaled
  Test Statistic                                71.167          NA
  Degrees of freedom                                52          52
  P-value (Chi-square)                           0.040          NA
  Scaling correction factor                                     NA
                                                                  

Model Test Baseline Model:

  Test statistic                               582.833     541.064
  Degrees of freedom                               120         120
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.077

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.959          NA
  Tucker-Lewis Index (TLI)                       0.904          NA
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -1421.683   -1421.683
  Loglikelihood unrestricted model (H1)      -1386.099   -1386.099
                                                                  
  Akaike (AIC)                                3011.365    3011.365
  Bayesian (BIC)                              3187.290    3187.290
  Sample-size adjusted Bayesian (SABIC)       2923.088    2923.088

Root Mean Square Error of Approximation:

  RMSEA                                          0.078          NA
  90 Percent confidence interval - lower         0.018          NA
  90 Percent confidence interval - upper         0.121          NA
  P-value H_0: RMSEA <= 0.050                    0.162          NA
  P-value H_0: RMSEA >= 0.080                    0.500          NA
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA
  P-value H_0: Robust RMSEA <= 0.050                            NA
  P-value H_0: Robust RMSEA >= 0.080                            NA

Standardized Root Mean Square Residual:

  SRMR                                           0.050       0.050

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EEC =~                                                                
    EEC1              1.000                                  NA       NA
    EEC3              2.170       NA                         NA       NA
    EEC4              2.496       NA                         NA       NA
  EEF =~                                                                
    EEF1              1.000                               0.428    0.314
    EEF2              1.056       NA                      0.452    0.324
    EEF3              0.790       NA                      0.339    0.235
  WTA =~                                                                
    WTA2              1.000                               0.772    0.420
    WTA3              1.400       NA                      1.080    0.696
    WTA4              1.069       NA                      0.825    0.571
  PA =~                                                                 
    PA1               1.000                               0.579    0.343
    PA2               2.336       NA                      1.353    0.853
    PA3               2.026       NA                      1.174    0.783
  PerceivedS =~                                                         
    PSP               1.000                               0.458    0.586
  Environ =~                                                            
    EO                1.000                               0.649    0.514
  TechScie =~                                                           
    TO                1.000                               1.041    0.729
  Atti =~                                                               
    ADT               1.000                               0.804    0.612
  CMF =~                                                                
    EEC1              1.000                                  NA       NA
    EEC3              0.609       NA                         NA       NA
    EEC4              1.074       NA                         NA       NA
    EEF1              0.774       NA                         NA       NA
    EEF2              0.748       NA                         NA       NA
    EEF3              0.932       NA                         NA       NA
    WTA2              0.923       NA                         NA       NA
    WTA3              0.700       NA                         NA       NA
    WTA4              0.634       NA                         NA       NA
    PA1              -0.138       NA                         NA       NA
    PA2              -0.396       NA                         NA       NA
    PA3              -0.189       NA                         NA       NA
    PSP              -0.105       NA                         NA       NA
    EO                0.593       NA                         NA       NA
    TO                0.196       NA                         NA       NA
    ADT               0.527       NA                         NA       NA

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EEC ~~                                                                
    EEF              -0.058       NA                     -0.635   -0.635
    WTA              -0.057       NA                     -0.348   -0.348
    PA                0.013       NA                      0.109    0.109
    PerceivedS       -0.162       NA                     -1.668   -1.668
    Environ          -0.095       NA                     -0.694   -0.694
    TechScie          0.149       NA                      0.675    0.675
    Atti              0.049       NA                      0.287    0.287
    CMF               0.313       NA                      3.640    3.640
  EEF ~~                                                                
    WTA              -0.008       NA                     -0.025   -0.025
    PA                0.006       NA                      0.024    0.024
    PerceivedS       -0.308       NA                     -1.572   -1.572
    Environ          -0.129       NA                     -0.463   -0.463
    TechScie          0.186       NA                      0.417    0.417
    Atti              0.087       NA                      0.253    0.253
    CMF               0.912       NA                      5.247    5.247
  WTA ~~                                                                
    PA               -0.119       NA                     -0.267   -0.267
    PerceivedS       -0.340       NA                     -0.963   -0.963
    Environ          -0.143       NA                     -0.285   -0.285
    TechScie          0.294       NA                      0.367    0.367
    Atti              0.172       NA                      0.277    0.277
    CMF               0.625       NA                      1.996    1.996
  PA ~~                                                                 
    PerceivedS        0.199       NA                      0.751    0.751
    Environ           0.068       NA                      0.182    0.182
    TechScie         -0.171       NA                     -0.284   -0.284
    Atti             -0.283       NA                     -0.607   -0.607
    CMF              -0.139       NA                     -0.592   -0.592
  PerceivedS ~~                                                         
    Environ          -0.028       NA                     -0.095   -0.095
    TechScie         -0.174       NA                     -0.366   -0.366
    Atti             -0.477       NA                     -1.296   -1.296
    CMF               0.295       NA                      1.591    1.591
  Environ ~~                                                            
    TechScie         -0.065       NA                     -0.096   -0.096
    Atti             -0.062       NA                     -0.119   -0.119
    CMF               0.512       NA                      1.946    1.946
  TechScie ~~                                                           
    Atti              0.512       NA                      0.612    0.612
    CMF              -0.267       NA                     -0.633   -0.633
  Atti ~~                                                               
    CMF               0.328       NA                      1.005    1.005

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .EEC1              1.496       NA                      1.496    0.783
   .EEC3              1.116       NA                      1.116    0.668
   .EEC4              0.410       NA                      0.410    0.254
   .EEF1              0.365       NA                      0.365    0.196
   .EEF2              0.397       NA                      0.397    0.204
   .EEF3              0.768       NA                      0.768    0.369
   .WTA2              1.768       NA                      1.768    0.524
   .WTA3              0.102       NA                      0.102    0.042
   .WTA4              0.628       NA                      0.628    0.301
   .PA1               2.485       NA                      2.485    0.870
   .PA2               0.454       NA                      0.454    0.181
   .PA3               0.770       NA                      0.770    0.342
   .PSP               0.464       NA                      0.464    0.761
   .EO                0.624       NA                      0.624    0.391
   .TO                1.064       NA                      1.064    0.522
   .ADT               0.782       NA                      0.782    0.452
    EEC              -0.045       NA                         NA       NA
    EEF               0.184       NA                      1.000    1.000
    WTA               0.596       NA                      1.000    1.000
    PA                0.336       NA                      1.000    1.000
    PerceivedS        0.209       NA                      1.000    1.000
    Environ           0.422       NA                      1.000    1.000
    TechScie          1.084       NA                      1.000    1.000
    Atti              0.647       NA                      1.000    1.000
    CMF              -0.164       NA                         NA       NA

Removing bad participants - extensive

Distribution of Bad Participants

Condition	Count
att_check == ‘Failed’	5
att_help_used == ‘Yes’	20
outliers_completion == ‘TRUE’	1

1. Descriptive analysis

     vars  n mean   sd median trimmed  mad min max range  skew kurtosis   se
EEC1    1 37 5.62 1.32      6    5.77 1.48   2   7     5 -0.86    -0.01 0.22
EEC2    2 37 5.46 1.26      6    5.58 1.48   2   7     5 -0.72     0.01 0.21
EEC3    3 37 4.97 1.28      5    5.06 1.48   2   7     5 -0.72    -0.78 0.21
EEC4    4 37 5.08 1.06      5    5.19 1.48   2   7     5 -0.83     0.36 0.17
EEF1    5 37 5.38 1.32      6    5.52 1.48   2   7     5 -1.12     0.54 0.22
EEF2    6 37 5.14 1.34      5    5.23 1.48   1   7     6 -1.05     0.76 0.22
EEF3    7 37 4.70 1.41      5    4.71 1.48   1   7     6 -0.40    -0.48 0.23
WTA1    8 37 4.16 1.97      5    4.19 1.48   1   7     6 -0.35    -1.19 0.32
WTA2    9 37 4.41 1.76      5    4.48 1.48   1   7     6 -0.40    -0.80 0.29
WTA3   10 37 4.76 1.48      5    4.84 1.48   1   7     6 -0.69    -0.18 0.24
WTA4   11 37 5.65 1.38      6    5.81 1.48   2   7     5 -0.86    -0.30 0.23
PA1    12 37 4.81 1.68      5    4.90 1.48   1   7     6 -0.53    -0.77 0.28
PA2    13 37 4.27 1.64      4    4.29 1.48   1   7     6 -0.20    -0.88 0.27
PA3    14 37 5.43 1.72      6    5.65 1.48   1   7     6 -1.01    -0.07 0.28
PSP    15 37 2.76 0.80      3    2.65 1.48   2   5     3  1.08     1.07 0.13
EO     16 37 5.54 1.28      6    5.65 1.48   2   7     5 -0.66    -0.21 0.21
TO     17 37 4.19 1.51      4    4.19 1.48   1   7     6 -0.03    -0.88 0.25
ADT    18 37 5.03 1.17      5    5.06 1.48   2   7     5 -0.36     0.02 0.19

Kaiser-Meyer-Olkin factor adequacy
Call: KMO(r = data_efa_2)
Overall MSA =  0.5
MSA for each item = 
EEC1 EEC2 EEC3 EEC4 EEF1 EEF2 EEF3 WTA1 WTA2 WTA3 WTA4  PA1  PA2  PA3  PSP   EO 
0.54 0.67 0.43 0.77 0.69 0.51 0.54 0.78 0.49 0.43 0.55 0.27 0.31 0.31 0.19 0.83 
  TO  ADT 
0.14 0.45 

2. CFA

#### Measurement model
model2<-'
  EEC =~ EEC1 + EEC2 + EEC3 + EEC4
  EEF =~ EEF1 + EEF2 + EEF3
  WTA =~ WTA1 + WTA2 + WTA3 + WTA4
  PA =~ PA1 + PA2 + PA3
  PerceivedS =~ PSP
  Env =~ EO
  Tech =~ TO
  Attitude =~ ADT'
fit2<-cfa(model2,data = data_short_good_participants, estimator = "MLR")

Warning: lavaan->lav_model_vcov():  
   The variance-covariance matrix of the estimated parameters (vcov) does not 
   appear to be positive definite! The smallest eigenvalue (= -2.187768e-15) 
   is smaller than zero. This may be a symptom that the model is not 
   identified.

summary(fit2, ci = TRUE, fit.measures=TRUE, rsquare=TRUE,standardized=TRUE)

lavaan 0.6-19 ended normally after 67 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        60

  Number of observations                            37

Model Test User Model:
                                              Standard      Scaled
  Test Statistic                               192.582     209.181
  Degrees of freedom                               111         111
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  0.921
    Yuan-Bentler correction (Mplus variant)                       

Model Test Baseline Model:

  Test statistic                               538.730     553.536
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  0.973

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.789       0.755
  Tucker-Lewis Index (TLI)                       0.708       0.662
                                                                  
  Robust Comparative Fit Index (CFI)                         0.768
  Robust Tucker-Lewis Index (TLI)                            0.680

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)               -978.394    -978.394
  Scaling correction factor                                  1.071
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)       -882.103    -882.103
  Scaling correction factor                                  0.973
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                2076.787    2076.787
  Bayesian (BIC)                              2173.442    2173.442
  Sample-size adjusted Bayesian (SABIC)       1985.918    1985.918

Root Mean Square Error of Approximation:

  RMSEA                                          0.141       0.155
  90 Percent confidence interval - lower         0.107       0.121
  90 Percent confidence interval - upper         0.174       0.188
  P-value H_0: RMSEA <= 0.050                    0.000       0.000
  P-value H_0: RMSEA >= 0.080                    0.997       1.000
                                                                  
  Robust RMSEA                                               0.148
  90 Percent confidence interval - lower                     0.117
  90 Percent confidence interval - upper                     0.179
  P-value H_0: Robust RMSEA <= 0.050                         0.000
  P-value H_0: Robust RMSEA >= 0.080                         1.000

Standardized Root Mean Square Residual:

  SRMR                                           0.075       0.075

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
  EEC =~                                                                
    EEC1              1.000                               1.000    1.000
    EEC2              1.234    0.276    4.477    0.000    0.694    1.775
    EEC3              0.854    0.231    3.697    0.000    0.401    1.306
    EEC4              1.016    0.376    2.703    0.007    0.279    1.753
  EEF =~                                                                
    EEF1              1.000                               1.000    1.000
    EEF2              1.028    0.215    4.774    0.000    0.606    1.450
    EEF3              0.829    0.204    4.061    0.000    0.429    1.229
  WTA =~                                                                
    WTA1              1.000                               1.000    1.000
    WTA2              0.886    0.251    3.532    0.000    0.394    1.378
    WTA3              0.999    0.234    4.265    0.000    0.540    1.458
    WTA4              0.873    0.240    3.641    0.000    0.403    1.343
  PA =~                                                                 
    PA1               1.000                               1.000    1.000
    PA2               1.532    0.483    3.174    0.002    0.586    2.478
    PA3               1.859    0.664    2.800    0.005    0.558    3.161
  PerceivedS =~                                                         
    PSP               1.000                               1.000    1.000
  Env =~                                                                
    EO                1.000                               1.000    1.000
  Tech =~                                                               
    TO                1.000                               1.000    1.000
  Attitude =~                                                           
    ADT               1.000                               1.000    1.000
   Std.lv  Std.all
                  
    0.886    0.680
    1.093    0.879
    0.756    0.599
    0.900    0.857
                  
    1.102    0.847
    1.133    0.859
    0.914    0.656
                  
    1.295    0.668
    1.148    0.663
    1.294    0.886
    1.131    0.831
                  
    0.866    0.522
    1.327    0.818
    1.611    0.947
                  
    0.785    1.000
                  
    1.265    1.000
                  
    1.486    1.000
                  
    1.150    1.000

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
  EEC ~~                                                                
    EEF               0.899    0.371    2.420    0.016    0.171    1.626
    WTA               0.987    0.470    2.100    0.036    0.066    1.909
    PA               -0.152    0.132   -1.149    0.251   -0.410    0.107
    PerceivedS       -0.221    0.218   -1.012    0.311   -0.648    0.207
    Env               0.745    0.328    2.272    0.023    0.102    1.387
    Tech              0.042    0.201    0.209    0.834   -0.352    0.437
    Attitude          0.462    0.173    2.678    0.007    0.124    0.801
  EEF ~~                                                                
    WTA               1.122    0.481    2.331    0.020    0.179    2.066
    PA               -0.227    0.142   -1.592    0.111   -0.506    0.052
    PerceivedS       -0.324    0.276   -1.174    0.240   -0.866    0.217
    Env               0.769    0.312    2.470    0.014    0.159    1.380
    Tech              0.172    0.227    0.758    0.449   -0.273    0.617
    Attitude          0.482    0.241    1.996    0.046    0.009    0.955
  WTA ~~                                                                
    PA               -0.372    0.217   -1.713    0.087   -0.798    0.054
    PerceivedS       -0.237    0.300   -0.791    0.429   -0.825    0.351
    Env               0.862    0.450    1.916    0.055   -0.020    1.744
    Tech              0.331    0.318    1.041    0.298   -0.292    0.954
    Attitude          0.357    0.291    1.229    0.219   -0.212    0.927
  PA ~~                                                                 
    PerceivedS        0.250    0.134    1.868    0.062   -0.012    0.513
    Env              -0.171    0.202   -0.845    0.398   -0.566    0.225
    Tech             -0.336    0.293   -1.146    0.252   -0.909    0.238
    Attitude         -0.352    0.306   -1.149    0.251   -0.952    0.248
  PerceivedS ~~                                                         
    Env              -0.004    0.222   -0.016    0.987   -0.439    0.431
    Tech             -0.116    0.174   -0.666    0.505   -0.458    0.225
    Attitude         -0.237    0.173   -1.365    0.172   -0.577    0.103
  Env ~~                                                                
    Tech              0.087    0.304    0.286    0.775   -0.509    0.683
    Attitude          0.499    0.241    2.068    0.039    0.026    0.972
  Tech ~~                                                               
    Attitude          0.562    0.324    1.738    0.082   -0.072    1.197
   Std.lv  Std.all
                  
    0.920    0.920
    0.861    0.861
   -0.198   -0.198
   -0.318   -0.318
    0.665    0.665
    0.032    0.032
    0.454    0.454
                  
    0.786    0.786
   -0.237   -0.237
   -0.375   -0.375
    0.552    0.552
    0.105    0.105
    0.380    0.380
                  
   -0.332   -0.332
   -0.233   -0.233
    0.527    0.527
    0.172    0.172
    0.240    0.240
                  
    0.368    0.368
   -0.156   -0.156
   -0.261   -0.261
   -0.353   -0.353
                  
   -0.004   -0.004
   -0.100   -0.100
   -0.262   -0.262
                  
    0.046    0.046
    0.343    0.343
                  
    0.329    0.329

Variances:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
   .EEC1              0.910    0.246    3.704    0.000    0.429    1.392
   .EEC2              0.351    0.143    2.454    0.014    0.071    0.631
   .EEC3              1.022    0.281    3.643    0.000    0.472    1.573
   .EEC4              0.292    0.092    3.159    0.002    0.111    0.473
   .EEF1              0.479    0.170    2.814    0.005    0.145    0.813
   .EEF2              0.455    0.229    1.990    0.047    0.007    0.903
   .EEF3              1.103    0.276    4.005    0.000    0.563    1.643
   .WTA1              2.080    0.697    2.984    0.003    0.714    3.447
   .WTA2              1.680    0.592    2.837    0.005    0.519    2.841
   .WTA3              0.457    0.257    1.781    0.075   -0.046    0.960
   .WTA4              0.571    0.195    2.936    0.003    0.190    0.952
   .PA1               1.998    0.689    2.901    0.004    0.648    3.348
   .PA2               0.870    0.272    3.193    0.001    0.336    1.403
   .PA3               0.300    0.315    0.954    0.340   -0.317    0.917
   .PSP               0.000                               0.000    0.000
   .EO                0.000                               0.000    0.000
   .TO                0.000                               0.000    0.000
   .ADT               0.000                               0.000    0.000
    EEC               0.784    0.469    1.671    0.095   -0.136    1.704
    EEF               1.215    0.481    2.526    0.012    0.272    2.159
    WTA               1.677    0.749    2.239    0.025    0.209    3.146
    PA                0.750    0.500    1.500    0.134   -0.230    1.730
    PerceivedS        0.617    0.184    3.351    0.001    0.256    0.977
    Env               1.600    0.367    4.358    0.000    0.880    2.319
    Tech              2.207    0.404    5.459    0.000    1.415    3.000
    Attitude          1.324    0.322    4.106    0.000    0.692    1.955
   Std.lv  Std.all
    0.910    0.537
    0.351    0.227
    1.022    0.641
    0.292    0.265
    0.479    0.283
    0.455    0.262
    1.103    0.569
    2.080    0.554
    1.680    0.560
    0.457    0.214
    0.571    0.309
    1.998    0.727
    0.870    0.331
    0.300    0.104
    0.000    0.000
    0.000    0.000
    0.000    0.000
    0.000    0.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000

R-Square:
                   Estimate
    EEC1              0.463
    EEC2              0.773
    EEC3              0.359
    EEC4              0.735
    EEF1              0.717
    EEF2              0.738
    EEF3              0.431
    WTA1              0.446
    WTA2              0.440
    WTA3              0.786
    WTA4              0.691
    PA1               0.273
    PA2               0.669
    PA3               0.896
    PSP               1.000
    EO                1.000
    TO                1.000
    ADT               1.000

lavaanPlot(model = fit2, node_options = list(shape = "box", fontname = "Helvetica"), edge_options = list(color = "grey"),
           coefs = T, stand=T)

#####Construct Reliability:
semTools::compRelSEM(fit2, tau.eq=T, obs.var=T) #Cronbach Alpha

  EEC   EEF   WTA    PA 
0.837 0.832 0.827 0.784 

semTools::compRelSEM(fit2, tau.eq=F, obs.var=T) #Omega

  EEC   EEF   WTA    PA 
0.828 0.822 0.839 0.835 

AVE(fit2, obs.var = TRUE, omit.imps = c("no.conv", "no.se"),
    omit.factors = character(0), dropSingle = TRUE, return.df = TRUE)

  EEC   EEF   WTA    PA 
0.566 0.621 0.554 0.617 

#####Standardized residuals
lavResiduals(fit2, type = "cor.bentler", custom.rmr = NULL,
             se = FALSE, zstat = TRUE, summary = TRUE, h1.acov = "unstructured",
             add.type = TRUE, add.labels = TRUE, add.class = TRUE,
             drop.list.single.group = TRUE,
             maximum.number = length(res.vech), output = "list")

$type
[1] "cor.bentler"

$cov
       EEC1   EEC2   EEC3   EEC4   EEF1   EEF2   EEF3   WTA1   WTA2   WTA3
EEC1  0.000                                                               
EEC2  0.094  0.000                                                        
EEC3  0.014  0.067  0.000                                                 
EEC4 -0.126 -0.016 -0.002  0.000                                          
EEF1  0.049  0.009  0.016  0.021  0.000                                   
EEF2  0.043 -0.041 -0.065  0.037 -0.017  0.000                            
EEF3 -0.011 -0.124  0.110  0.016 -0.002  0.047  0.000                     
WTA1  0.115  0.080  0.165  0.218 -0.009  0.016  0.034  0.000              
WTA2 -0.140 -0.074  0.009  0.117 -0.006 -0.010  0.235  0.045  0.000       
WTA3 -0.055 -0.028 -0.108  0.011 -0.101 -0.076  0.066 -0.024  0.072  0.000
WTA4  0.094 -0.038 -0.009 -0.045  0.071  0.053  0.187 -0.072 -0.100  0.023
PA1   0.025  0.041  0.021  0.020  0.051 -0.043  0.116 -0.093  0.038 -0.156
PA2   0.018  0.014 -0.071 -0.097  0.154 -0.141 -0.088  0.073 -0.003 -0.074
PA3  -0.079  0.083 -0.084 -0.026  0.141 -0.098 -0.072  0.082  0.002 -0.006
PSP   0.232  0.006 -0.116 -0.065  0.011 -0.064  0.155  0.075  0.028 -0.104
EO    0.197  0.014  0.000 -0.094  0.098 -0.064 -0.071  0.064 -0.153 -0.059
TO    0.029 -0.075  0.041  0.067 -0.042  0.062 -0.068 -0.097 -0.123  0.031
ADT  -0.103 -0.030 -0.011  0.079 -0.040  0.045 -0.025  0.153 -0.015 -0.016
       WTA4    PA1    PA2    PA3    PSP     EO     TO    ADT
EEC1                                                        
EEC2                                                        
EEC3                                                        
EEC4                                                        
EEF1                                                        
EEF2                                                        
EEF3                                                        
WTA1                                                        
WTA2                                                        
WTA3                                                        
WTA4  0.000                                                 
PA1  -0.005  0.000                                          
PA2   0.011 -0.057  0.000                                   
PA3   0.012 -0.006  0.006  0.000                            
PSP   0.114  0.104 -0.080  0.013  0.000                     
EO    0.128 -0.050 -0.036  0.014  0.000  0.000              
TO    0.050 -0.091  0.024  0.001  0.000  0.000  0.000       
ADT  -0.038 -0.096 -0.063  0.025  0.000  0.000  0.000  0.000

$cov.z
       EEC1   EEC2   EEC3   EEC4   EEF1   EEF2   EEF3   WTA1   WTA2   WTA3
EEC1  0.000                                                               
EEC2  0.856  0.000                                                        
EEC3  0.124  0.532  0.000                                                 
EEC4 -1.016 -0.155 -0.009  0.000                                          
EEF1  0.414  0.101  0.107  0.250  0.000                                   
EEF2  0.412 -0.435 -0.336  0.313 -0.121  0.000                            
EEF3 -0.091 -1.100  0.858  0.143 -0.022  0.501  0.000                     
WTA1  0.779  0.463  1.169  1.795 -0.079  0.138  0.311  0.000              
WTA2 -0.939 -0.568  0.066  0.809 -0.039 -0.071  1.580  0.295  0.000       
WTA3 -0.595 -0.274 -0.459  0.069 -0.615 -0.421  0.514 -0.197  0.659  0.000
WTA4  0.662 -0.525 -0.061 -0.458  0.673  0.524  1.551 -0.559 -0.720  0.234
PA1   0.160  0.304  0.150  0.130  0.384 -0.435  0.884 -0.668  0.261 -1.308
PA2   0.110  0.098 -0.537 -0.745  1.024 -0.996 -0.627  0.397 -0.021 -0.570
PA3  -0.724  0.748 -0.801 -0.270  1.650 -1.095 -0.566  0.507  0.016 -0.051
PSP   1.518  0.035 -1.045 -0.348  0.056 -0.465  1.118  0.399  0.131 -0.605
EO    1.452  0.152  0.003 -0.721  0.645 -0.465 -0.688  0.494 -1.368 -0.322
TO    0.209 -0.682  0.320  0.562 -0.419  0.616 -0.573 -0.707 -1.008  0.314
ADT  -0.767 -0.432 -0.083  1.048 -0.483  0.411 -0.267  0.862 -0.151 -0.221
       WTA4    PA1    PA2    PA3    PSP     EO     TO    ADT
EEC1                                                        
EEC2                                                        
EEC3                                                        
EEC4                                                        
EEF1                                                        
EEF2                                                        
EEF3                                                        
WTA1                                                        
WTA2                                                        
WTA3                                                        
WTA4  0.000                                                 
PA1  -0.032  0.000                                          
PA2   0.068 -0.418  0.000                                   
PA3   0.100 -0.046  0.045  0.000                            
PSP   0.539  0.547 -0.468  0.103  0.000                     
EO    1.116 -0.375 -0.282  0.101  0.000  0.000              
TO    0.329 -0.526  0.209  0.007  0.000  0.000  0.000       
ADT  -0.399 -0.782 -0.694  0.284  0.000  0.000  0.000  0.000

$summary
                           cov
srmr                     0.075
srmr.se                  0.038
srmr.exactfit.z          0.000
srmr.exactfit.pvalue     0.500
usrmr                    0.000
usrmr.se                 0.135
usrmr.ci.lower          -0.221
usrmr.ci.upper           0.221
usrmr.closefit.h0.value  0.050
usrmr.closefit.z        -0.371
usrmr.closefit.pvalue    0.645

3. Correlation Analysis

$chisq
[1] 424.6744

$p.value
[1] 2.130108e-27

$df
[1] 153

            EEC1        EEC2        EEC3        EEC4        EEF1       EEF2
EEC1  1.00000000  0.69189522  0.42134415  0.45764540  0.57887931  0.5808984
EEC2  0.69189522  1.00000000  0.59336917  0.73783102  0.69415189  0.6545992
EEC3  0.42134415  0.59336917  1.00000000  0.51158751  0.48312352  0.4081005
EEC4  0.45764540  0.73783102  0.51158751  1.00000000  0.68967589  0.7147094
EEF1  0.57887931  0.69415189  0.48312352  0.68967589  1.00000000  0.7102706
EEF2  0.58089840  0.65459922  0.40810047  0.71470943  0.71027064  1.0000000
EEF3  0.40017946  0.40678857  0.47206358  0.53435094  0.55412564  0.6107584
WTA1  0.50628532  0.58590006  0.50981195  0.71090904  0.43623327  0.4672817
WTA2  0.24792126  0.42825047  0.35121388  0.60657554  0.43556362  0.4377175
WTA3  0.46367060  0.64251208  0.34847188  0.66571905  0.48943007  0.5226990
WTA4  0.58134662  0.59101216  0.41948621  0.56907861  0.62466911  0.6143007
PA1  -0.04569623 -0.04962046 -0.04118558 -0.06885473 -0.05449699 -0.1490517
PA2  -0.09238810 -0.12862319 -0.16805146 -0.23519530 -0.01003466 -0.3078117
PA3  -0.20680751 -0.08116201 -0.19590155 -0.18614591 -0.04947548 -0.2911332
PSP   0.01572199 -0.27312648 -0.30654535 -0.33683073 -0.30657877 -0.3859470
EO    0.64949383  0.59832338  0.39844531  0.47598512  0.56520159  0.4099825
TO    0.05098501 -0.04705891  0.06036109  0.09415603  0.04683068  0.1525062
ADT   0.20533312  0.36923373  0.26101225  0.46823211  0.28190628  0.3717489
             EEF3        WTA1         WTA2       WTA3        WTA4         PA1
EEC1  0.400179463  0.50628532  0.247921258  0.4636706  0.58134662 -0.04569623
EEC2  0.406788571  0.58590006  0.428250469  0.6425121  0.59101216 -0.04962046
EEC3  0.472063584  0.50981195  0.351213877  0.3484719  0.41948621 -0.04118558
EEC4  0.534350937  0.71090904  0.606575539  0.6657191  0.56907861 -0.06885473
EEF1  0.554125641  0.43623327  0.435563622  0.4894301  0.62466911 -0.05449699
EEF2  0.610758391  0.46728173  0.437717533  0.5226990  0.61430070 -0.14905172
EEF3  1.000000000  0.37836088  0.576916299  0.5230206  0.61567366  0.03417936
WTA1  0.378360885  1.00000000  0.487739244  0.5680394  0.48296433 -0.20913559
WTA2  0.576916299  0.48773924  1.000000000  0.6593680  0.45074414 -0.07685885
WTA3  0.523020575  0.56803938  0.659367974  1.0000000  0.76033452 -0.30947154
WTA4  0.615673665  0.48296433  0.450744138  0.7603345  1.00000000 -0.14936873
PA1   0.034179358 -0.20913559 -0.076858848 -0.3094715 -0.14936873  1.00000000
PA2  -0.215786427 -0.10852134 -0.183414721 -0.3148148 -0.21429951  0.37091296
PA3  -0.219569645 -0.12781096 -0.206330017 -0.2842013 -0.24973959  0.48902984
PSP  -0.090869309 -0.08062831 -0.126267902 -0.3110676 -0.08003552  0.29687597
EO    0.290767258  0.41622089  0.196133416  0.4079837  0.56607795 -0.13169229
TO    0.001059311  0.01750054 -0.008802596  0.1832559  0.19340812 -0.22688449
ADT   0.224354894  0.31313262  0.143748491  0.1970722  0.16153445 -0.28074723
             PA2         PA3          PSP           EO           TO        ADT
EEC1 -0.09238810 -0.20680751  0.015721988  0.649493826  0.050985014  0.2053331
EEC2 -0.12862319 -0.08116201 -0.273126481  0.598323380 -0.047058914  0.3692337
EEC3 -0.16805146 -0.19590155 -0.306545351  0.398445315  0.060361093  0.2610122
EEC4 -0.23519530 -0.18614591 -0.336830727  0.475985123  0.094156034  0.4682321
EEF1 -0.01003466 -0.04947548 -0.306578769  0.565201594  0.046830680  0.2819063
EEF2 -0.30781166 -0.29113325 -0.385946960  0.409982494  0.152506235  0.3717489
EEF3 -0.21578643 -0.21956964 -0.090869309  0.290767258  0.001059311  0.2243549
WTA1 -0.10852134 -0.12781096 -0.080628314  0.416220885  0.017500537  0.3131326
WTA2 -0.18341472 -0.20633002 -0.126267902  0.196133416 -0.008802596  0.1437485
WTA3 -0.31481481 -0.28420135 -0.311067643  0.407983734  0.183255876  0.1970722
WTA4 -0.21429951 -0.24973959 -0.080035523  0.566077954  0.193408119  0.1615344
PA1   0.37091296  0.48902984  0.296875975 -0.131692289 -0.226884491 -0.2807472
PA2   1.00000000  0.78058283  0.221444466 -0.163470495 -0.189487924 -0.3515977
PA3   0.78058283  1.00000000  0.362017471 -0.133757126 -0.246226691 -0.3097717
PSP   0.22144447  0.36201747  1.000000000 -0.003677704 -0.099558575 -0.2619960
EO   -0.16347050 -0.13375713 -0.003677704  1.000000000  0.046257022  0.3428622
TO   -0.18948792 -0.24622669 -0.099558575  0.046257022  1.000000000  0.3290519
ADT  -0.35159767 -0.30977171 -0.261996018  0.342862154  0.329051897  1.0000000

     EEC1 EEC2 EEC3 EEC4 EEF1 EEF2 EEF3 WTA1 WTA2 WTA3 WTA4 PA1 PA2 PA3 PSP EO
EEC1    1   NA   NA   NA   NA   NA   NA   NA   NA   NA   NA  NA  NA  NA  NA NA
EEC2   NA    1   NA   NA   NA   NA   NA   NA   NA   NA   NA  NA  NA  NA  NA NA
EEC3   NA   NA    1   NA   NA   NA   NA   NA   NA   NA   NA  NA  NA  NA  NA NA
EEC4   NA   NA   NA    1   NA   NA   NA   NA   NA   NA   NA  NA  NA  NA  NA NA
EEF1   NA   NA   NA   NA    1   NA   NA   NA   NA   NA   NA  NA  NA  NA  NA NA
EEF2   NA   NA   NA   NA   NA    1   NA   NA   NA   NA   NA  NA  NA  NA  NA NA
EEF3   NA   NA   NA   NA   NA   NA    1   NA   NA   NA   NA  NA  NA  NA  NA NA
WTA1   NA   NA   NA   NA   NA   NA   NA    1   NA   NA   NA  NA  NA  NA  NA NA
WTA2   NA   NA   NA   NA   NA   NA   NA   NA    1   NA   NA  NA  NA  NA  NA NA
WTA3   NA   NA   NA   NA   NA   NA   NA   NA   NA    1   NA  NA  NA  NA  NA NA
WTA4   NA   NA   NA   NA   NA   NA   NA   NA   NA   NA    1  NA  NA  NA  NA NA
PA1    NA   NA   NA   NA   NA   NA   NA   NA   NA   NA   NA   1  NA  NA  NA NA
PA2    NA   NA   NA   NA   NA   NA   NA   NA   NA   NA   NA  NA   1  NA  NA NA
PA3    NA   NA   NA   NA   NA   NA   NA   NA   NA   NA   NA  NA  NA   1  NA NA
PSP    NA   NA   NA   NA   NA   NA   NA   NA   NA   NA   NA  NA  NA  NA   1 NA
EO     NA   NA   NA   NA   NA   NA   NA   NA   NA   NA   NA  NA  NA  NA  NA  1
TO     NA   NA   NA   NA   NA   NA   NA   NA   NA   NA   NA  NA  NA  NA  NA NA
ADT    NA   NA   NA   NA   NA   NA   NA   NA   NA   NA   NA  NA  NA  NA  NA NA
     TO ADT
EEC1 NA  NA
EEC2 NA  NA
EEC3 NA  NA
EEC4 NA  NA
EEF1 NA  NA
EEF2 NA  NA
EEF3 NA  NA
WTA1 NA  NA
WTA2 NA  NA
WTA3 NA  NA
WTA4 NA  NA
PA1  NA  NA
PA2  NA  NA
PA3  NA  NA
PSP  NA  NA
EO   NA  NA
TO    1  NA
ADT  NA   1

4. Common method bias

Factor Analysis using method =  minres
Call: fa(r = data_efa_2, nfactors = 1, rotate = "none")
Standardized loadings (pattern matrix) based upon correlation matrix
       MR1    h2   u2 com
EEC1  0.67 0.450 0.55   1
EEC2  0.82 0.677 0.32   1
EEC3  0.61 0.373 0.63   1
EEC4  0.86 0.736 0.26   1
EEF1  0.77 0.588 0.41   1
EEF2  0.80 0.643 0.36   1
EEF3  0.65 0.425 0.57   1
WTA1  0.68 0.463 0.54   1
WTA2  0.60 0.356 0.64   1
WTA3  0.78 0.602 0.40   1
WTA4  0.77 0.599 0.40   1
PA1  -0.21 0.045 0.95   1
PA2  -0.32 0.101 0.90   1
PA3  -0.33 0.110 0.89   1
PSP  -0.31 0.098 0.90   1
EO    0.61 0.376 0.62   1
TO    0.14 0.020 0.98   1
ADT   0.43 0.183 0.82   1

                MR1
SS loadings    6.84
Proportion Var 0.38

Mean item complexity =  1
Test of the hypothesis that 1 factor is sufficient.

df null model =  153  with the objective function =  14.56 with Chi Square =  424.67
df of  the model are 135  and the objective function was  7.39 

The root mean square of the residuals (RMSR) is  0.12 
The df corrected root mean square of the residuals is  0.13 

The harmonic n.obs is  37 with the empirical chi square  174.14  with prob <  0.013 
The total n.obs was  37  with Likelihood Chi Square =  210.62  with prob <  3.4e-05 

Tucker Lewis Index of factoring reliability =  0.673
RMSEA index =  0.12  and the 90 % confidence intervals are  0.091 0.156
BIC =  -276.85
Fit based upon off diagonal values = 0.9
Measures of factor score adequacy             
                                                   MR1
Correlation of (regression) scores with factors   0.97
Multiple R square of scores with factors          0.95
Minimum correlation of possible factor scores     0.89

Warning: lavaan->lav_model_vcov():  
   Could not compute standard errors! The information matrix could not be 
   inverted. This may be a symptom that the model is not identified.

Warning: lavaan->lav_test_yuan_bentler():  
   could not invert information [matrix needed for robust test statistic

Warning: lavaan->lav_object_post_check():  
   some estimated lv variances are negative

lavaan 0.6-19 ended normally after 105 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        90

  Number of observations                            37

Model Test User Model:
                                              Standard      Scaled
  Test Statistic                               113.178          NA
  Degrees of freedom                                81          81
  P-value (Chi-square)                           0.011          NA
  Scaling correction factor                                     NA
                                                                  

Model Test Baseline Model:

  Test statistic                               538.730     553.536
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  0.973

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.917          NA
  Tucker-Lewis Index (TLI)                       0.842          NA
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)               -938.692    -938.692
  Loglikelihood unrestricted model (H1)       -882.103    -882.103
                                                                  
  Akaike (AIC)                                2057.384    2057.384
  Bayesian (BIC)                              2202.366    2202.366
  Sample-size adjusted Bayesian (SABIC)       1921.079    1921.079

Root Mean Square Error of Approximation:

  RMSEA                                          0.104          NA
  90 Percent confidence interval - lower         0.052          NA
  90 Percent confidence interval - upper         0.146          NA
  P-value H_0: RMSEA <= 0.050                    0.045          NA
  P-value H_0: RMSEA >= 0.080                    0.804          NA
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA
  P-value H_0: Robust RMSEA <= 0.050                            NA
  P-value H_0: Robust RMSEA >= 0.080                            NA

Standardized Root Mean Square Residual:

  SRMR                                           0.067       0.067

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EEC =~                                                                
    EEC1              1.000                               0.287    0.220
    EEC2              1.357       NA                      0.389    0.313
    EEC3              1.100       NA                      0.315    0.250
    EEC4              1.150       NA                      0.330    0.314
  EEF =~                                                                
    EEF1              1.000                               0.552    0.424
    EEF2              1.036       NA                      0.572    0.434
    EEF3              0.746       NA                      0.412    0.296
  WTA =~                                                                
    WTA1              1.000                               0.670    0.345
    WTA2              0.757       NA                      0.507    0.293
    WTA3              1.077       NA                      0.721    0.494
    WTA4              0.787       NA                      0.527    0.388
  PA =~                                                                 
    PA1               1.000                               0.878    0.529
    PA2               1.514       NA                      1.329    0.820
    PA3               1.817       NA                      1.595    0.938
  PerceivedS =~                                                         
    PSP               1.000                               0.478    0.608
  Environ =~                                                            
    EO                1.000                               0.575    0.454
  TechScie =~                                                           
    TO                1.000                               1.079    0.726
  Atti =~                                                               
    ADT               1.000                               0.646    0.561
  CMF =~                                                                
    EEC1              1.000                                  NA       NA
    EEC2              1.070       NA                         NA       NA
    EEC3              0.465       NA                         NA       NA
    EEC4              0.875       NA                         NA       NA
    EEF1              0.800       NA                         NA       NA
    EEF2              0.687       NA                         NA       NA
    EEF3              0.913       NA                         NA       NA
    WTA1              1.084       NA                         NA       NA
    WTA2              1.118       NA                         NA       NA
    WTA3              0.364       NA                         NA       NA
    WTA4              1.042       NA                         NA       NA
    PA1              -0.428       NA                         NA       NA
    PA2              -0.455       NA                         NA       NA
    PA3              -0.181       NA                         NA       NA
    PSP              -0.253       NA                         NA       NA
    EO                0.694       NA                         NA       NA
    TO                0.317       NA                         NA       NA
    ADT               0.407       NA                         NA       NA

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EEC ~~                                                                
    EEF               0.089       NA                      0.560    0.560
    WTA               0.098       NA                      0.511    0.511
    PA               -0.079       NA                     -0.312   -0.312
    PerceivedS       -0.262       NA                     -1.911   -1.911
    Environ           0.003       NA                      0.021    0.021
    TechScie         -0.038       NA                     -0.124   -0.124
    Atti              0.134       NA                      0.721    0.721
    CMF               0.534       NA                      2.725    2.725
  EEF ~~                                                                
    WTA               0.133       NA                      0.359    0.359
    PA               -0.121       NA                     -0.249   -0.249
    PerceivedS       -0.330       NA                     -1.250   -1.250
    Environ          -0.035       NA                     -0.112   -0.112
    TechScie          0.013       NA                      0.021    0.021
    Atti              0.097       NA                      0.272    0.272
    CMF               0.768       NA                      2.032    2.032
  WTA ~~                                                                
    PA               -0.264       NA                     -0.450   -0.450
    PerceivedS       -0.219       NA                     -0.686   -0.686
    Environ          -0.028       NA                     -0.074   -0.074
    TechScie          0.140       NA                      0.194    0.194
    Atti             -0.052       NA                     -0.121   -0.121
    CMF               0.877       NA                      1.914    1.914
  PA ~~                                                                 
    PerceivedS        0.281       NA                      0.671    0.671
    Environ          -0.086       NA                     -0.171   -0.171
    TechScie         -0.345       NA                     -0.364   -0.364
    Atti             -0.328       NA                     -0.579   -0.579
    CMF              -0.047       NA                     -0.078   -0.078
  PerceivedS ~~                                                         
    Environ          -0.004       NA                     -0.013   -0.013
    TechScie         -0.188       NA                     -0.364   -0.364
    Atti             -0.268       NA                     -0.870   -0.870
    CMF               0.134       NA                      0.412    0.412
  Environ ~~                                                            
    TechScie         -0.054       NA                     -0.086   -0.086
    Atti              0.153       NA                      0.413    0.413
    CMF               0.695       NA                      1.767    1.767
  TechScie ~~                                                           
    Atti              0.520       NA                      0.746    0.746
    CMF               0.033       NA                      0.045    0.045
  Atti ~~                                                               
    CMF               0.281       NA                      0.636    0.636

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .EEC1              1.012       NA                      1.012    0.597
   .EEC2              0.379       NA                      0.379    0.245
   .EEC3              1.049       NA                      1.049    0.658
   .EEC4              0.276       NA                      0.276    0.251
   .EEF1              0.460       NA                      0.460    0.272
   .EEF2              0.538       NA                      0.538    0.310
   .EEF3              1.113       NA                      1.113    0.574
   .WTA1              1.957       NA                      1.957    0.521
   .WTA2              1.841       NA                      1.841    0.614
   .WTA3              0.984       NA                      0.984    0.462
   .WTA4              0.640       NA                      0.640    0.346
   .PA1               2.023       NA                      2.023    0.736
   .PA2               0.895       NA                      0.895    0.340
   .PA3               0.335       NA                      0.335    0.116
   .PSP               0.486       NA                      0.486    0.789
   .EO                0.530       NA                      0.530    0.332
   .TO                1.068       NA                      1.068    0.484
   .ADT               0.755       NA                      0.755    0.571
    EEC               0.082       NA                      1.000    1.000
    EEF               0.305       NA                      1.000    1.000
    WTA               0.449       NA                      1.000    1.000
    PA                0.770       NA                      1.000    1.000
    PerceivedS        0.228       NA                      1.000    1.000
    Environ           0.330       NA                      1.000    1.000
    TechScie          1.165       NA                      1.000    1.000
    Atti              0.417       NA                      1.000    1.000
    CMF              -0.468       NA                         NA       NA

Removing bad participants - conservative

Distribution of Bad Participants

Condition	Count
att_check == ‘Failed’	5
outliers_completion == ‘TRUE’	1

Scales

1. Descriptive analysis

     vars  n mean   sd median trimmed  mad min max range  skew kurtosis   se
EEC1    1 54 5.65 1.38    6.0    5.84 1.48   1   7     6 -1.24     1.35 0.19
EEC2    2 54 5.43 1.34    6.0    5.59 1.48   1   7     6 -1.07     1.11 0.18
EEC3    3 54 5.09 1.35    5.0    5.20 1.48   1   7     6 -0.98     0.33 0.18
EEC4    4 54 5.07 1.29    5.0    5.20 1.48   1   7     6 -1.02     0.98 0.18
EEF1    5 54 5.33 1.39    6.0    5.50 1.48   1   7     6 -1.18     0.97 0.19
EEF2    6 54 5.13 1.41    5.0    5.25 1.48   1   7     6 -1.05     0.77 0.19
EEF3    7 54 4.76 1.47    5.0    4.80 1.48   1   7     6 -0.54    -0.30 0.20
WTA1    8 54 4.35 1.87    5.0    4.43 1.48   1   7     6 -0.49    -0.92 0.26
WTA2    9 54 4.39 1.86    5.0    4.48 1.48   1   7     6 -0.44    -0.93 0.25
WTA3   10 54 4.74 1.52    5.0    4.86 1.48   1   7     6 -0.80    -0.07 0.21
WTA4   11 54 5.70 1.37    6.0    5.89 1.48   2   7     5 -1.03     0.18 0.19
PA1    12 54 4.69 1.67    5.0    4.77 1.48   1   7     6 -0.51    -0.71 0.23
PA2    13 54 4.13 1.63    4.0    4.09 1.48   1   7     6  0.05    -0.90 0.22
PA3    14 54 5.39 1.56    5.5    5.59 2.22   1   7     6 -0.88     0.12 0.21
PSP    15 54 2.72 0.79    3.0    2.61 1.48   2   5     3  0.97     0.56 0.11
EO     16 54 5.70 1.31    6.0    5.86 1.48   2   7     5 -0.83    -0.16 0.18
TO     17 54 4.17 1.45    4.0    4.18 1.48   1   7     6 -0.07    -0.87 0.20
ADT    18 54 5.07 1.24    5.0    5.14 1.48   2   7     5 -0.31    -0.16 0.17

Kaiser-Meyer-Olkin factor adequacy
Call: KMO(r = data_efa_2)
Overall MSA =  0.73
MSA for each item = 
EEC1 EEC2 EEC3 EEC4 EEF1 EEF2 EEF3 WTA1 WTA2 WTA3 WTA4  PA1  PA2  PA3  PSP   EO 
0.79 0.80 0.67 0.86 0.86 0.84 0.79 0.80 0.68 0.66 0.71 0.40 0.62 0.52 0.24 0.82 
  TO  ADT 
0.23 0.80 

2. Correlation Analysis

$chisq
[1] 629.5382

$p.value
[1] 4.788075e-59

$df
[1] 153

     EEC1      EEC2 EEC3      EEC4      EEF1 EEF2 EEF3 WTA1 WTA2 WTA3 WTA4 PA1
EEC1    1        NA   NA        NA        NA   NA   NA   NA   NA   NA   NA  NA
EEC2   NA 1.0000000   NA 0.8240199        NA   NA   NA   NA   NA   NA   NA  NA
EEC3   NA        NA    1        NA        NA   NA   NA   NA   NA   NA   NA  NA
EEC4   NA 0.8240199   NA 1.0000000 0.8000102   NA   NA   NA   NA   NA   NA  NA
EEF1   NA        NA   NA 0.8000102 1.0000000   NA   NA   NA   NA   NA   NA  NA
EEF2   NA        NA   NA        NA        NA    1   NA   NA   NA   NA   NA  NA
EEF3   NA        NA   NA        NA        NA   NA    1   NA   NA   NA   NA  NA
WTA1   NA        NA   NA        NA        NA   NA   NA    1   NA   NA   NA  NA
WTA2   NA        NA   NA        NA        NA   NA   NA   NA    1   NA   NA  NA
WTA3   NA        NA   NA        NA        NA   NA   NA   NA   NA    1   NA  NA
WTA4   NA        NA   NA        NA        NA   NA   NA   NA   NA   NA    1  NA
PA1    NA        NA   NA        NA        NA   NA   NA   NA   NA   NA   NA   1
PA2    NA        NA   NA        NA        NA   NA   NA   NA   NA   NA   NA  NA
PA3    NA        NA   NA        NA        NA   NA   NA   NA   NA   NA   NA  NA
PSP    NA        NA   NA        NA        NA   NA   NA   NA   NA   NA   NA  NA
EO     NA        NA   NA        NA        NA   NA   NA   NA   NA   NA   NA  NA
TO     NA        NA   NA        NA        NA   NA   NA   NA   NA   NA   NA  NA
ADT    NA        NA   NA        NA        NA   NA   NA   NA   NA   NA   NA  NA
     PA2 PA3 PSP EO TO ADT
EEC1  NA  NA  NA NA NA  NA
EEC2  NA  NA  NA NA NA  NA
EEC3  NA  NA  NA NA NA  NA
EEC4  NA  NA  NA NA NA  NA
EEF1  NA  NA  NA NA NA  NA
EEF2  NA  NA  NA NA NA  NA
EEF3  NA  NA  NA NA NA  NA
WTA1  NA  NA  NA NA NA  NA
WTA2  NA  NA  NA NA NA  NA
WTA3  NA  NA  NA NA NA  NA
WTA4  NA  NA  NA NA NA  NA
PA1   NA  NA  NA NA NA  NA
PA2    1  NA  NA NA NA  NA
PA3   NA   1  NA NA NA  NA
PSP   NA  NA   1 NA NA  NA
EO    NA  NA  NA  1 NA  NA
TO    NA  NA  NA NA  1  NA
ADT   NA  NA  NA NA NA   1

3. Common method bias

Harmans test

Factor Analysis using method =  minres
Call: fa(r = data_efa_2, nfactors = 1, rotate = "none")
Standardized loadings (pattern matrix) based upon correlation matrix
       MR1     h2   u2 com
EEC1  0.71 0.5052 0.49   1
EEC2  0.85 0.7237 0.28   1
EEC3  0.61 0.3777 0.62   1
EEC4  0.87 0.7613 0.24   1
EEF1  0.84 0.7071 0.29   1
EEF2  0.87 0.7583 0.24   1
EEF3  0.78 0.6016 0.40   1
WTA1  0.64 0.4042 0.60   1
WTA2  0.59 0.3513 0.65   1
WTA3  0.79 0.6241 0.38   1
WTA4  0.72 0.5183 0.48   1
PA1  -0.19 0.0359 0.96   1
PA2  -0.37 0.1387 0.86   1
PA3  -0.35 0.1196 0.88   1
PSP  -0.17 0.0282 0.97   1
EO    0.46 0.2134 0.79   1
TO    0.10 0.0096 0.99   1
ADT   0.53 0.2851 0.71   1

                MR1
SS loadings    7.16
Proportion Var 0.40

Mean item complexity =  1
Test of the hypothesis that 1 factor is sufficient.

df null model =  153  with the objective function =  13.64 with Chi Square =  629.54
df of  the model are 135  and the objective function was  5.52 

The root mean square of the residuals (RMSR) is  0.11 
The df corrected root mean square of the residuals is  0.12 

The harmonic n.obs is  54 with the empirical chi square  202.91  with prob <  0.00014 
The total n.obs was  54  with Likelihood Chi Square =  251  with prob <  5.3e-09 

Tucker Lewis Index of factoring reliability =  0.719
RMSEA index =  0.125  and the 90 % confidence intervals are  0.103 0.152
BIC =  -287.52
Fit based upon off diagonal values = 0.93
Measures of factor score adequacy             
                                                   MR1
Correlation of (regression) scores with factors   0.98
Multiple R square of scores with factors          0.95
Minimum correlation of possible factor scores     0.90

CFA common method bias

Warning: lavaan->lav_model_vcov():  
   Could not compute standard errors! The information matrix could not be 
   inverted. This may be a symptom that the model is not identified.

Warning: lavaan->lav_test_yuan_bentler():  
   could not invert information [matrix needed for robust test statistic

Warning: lavaan->lav_object_post_check():  
   some estimated lv variances are negative

lavaan 0.6-19 ended normally after 83 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        89

  Number of observations                            54

Model Test User Model:
                                              Standard      Scaled
  Test Statistic                               140.063          NA
  Degrees of freedom                                82          82
  P-value (Chi-square)                           0.000          NA
  Scaling correction factor                                     NA
                                                                  

Model Test Baseline Model:

  Test statistic                               736.355     710.064
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.037

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.900          NA
  Tucker-Lewis Index (TLI)                       0.814          NA
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -1410.181   -1410.181
  Loglikelihood unrestricted model (H1)      -1340.149   -1340.149
                                                                  
  Akaike (AIC)                                2998.362    2998.362
  Bayesian (BIC)                              3175.382    3175.382
  Sample-size adjusted Bayesian (SABIC)       2895.772    2895.772

Root Mean Square Error of Approximation:

  RMSEA                                          0.115          NA
  90 Percent confidence interval - lower         0.081          NA
  90 Percent confidence interval - upper         0.146          NA
  P-value H_0: RMSEA <= 0.050                    0.002          NA
  P-value H_0: RMSEA >= 0.080                    0.955          NA
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA
  P-value H_0: Robust RMSEA <= 0.050                            NA
  P-value H_0: Robust RMSEA >= 0.080                            NA

Standardized Root Mean Square Residual:

  SRMR                                           0.068       0.068

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EEC =~                                                                
    EEC1              1.000                                  NA       NA
    EEC2              1.563       NA                         NA       NA
    EEC3              1.132       NA                         NA       NA
  EEF =~                                                                
    EEF1              1.000                               0.275    0.200
    EEF2              1.002       NA                      0.275    0.196
    EEF3              0.861       NA                      0.236    0.163
  WTA =~                                                                
    WTA1              1.000                               0.751    0.404
    WTA2              0.786       NA                      0.590    0.321
    WTA3              1.062       NA                      0.798    0.530
    WTA4              0.609       NA                      0.457    0.337
  PA =~                                                                 
    PA1               1.000                               0.578    0.349
    PA2               2.171       NA                      1.254    0.778
    PA3               2.342       NA                      1.353    0.876
  PerceivedS =~                                                         
    PSP               1.000                               0.420    0.539
  Environ =~                                                            
    EO                1.000                               0.721    0.554
  TechScie =~                                                           
    TO                1.000                               1.018    0.709
  Atti =~                                                               
    ADT               1.000                               0.642    0.522
  CMF =~                                                                
    EEC1              1.000                               0.465    0.341
    EEC2              1.059       NA                      0.492    0.371
    EEC3              0.687       NA                      0.319    0.239
    EEC4              1.306       NA                      0.607    0.476
    EEF1              0.751       NA                      0.349    0.254
    EEF2              0.804       NA                      0.374    0.267
    EEF3              0.759       NA                      0.353    0.243
    WTA1              0.476       NA                      0.221    0.119
    WTA2              0.926       NA                      0.431    0.234
    WTA3              0.788       NA                      0.366    0.243
    WTA4              0.892       NA                      0.415    0.306
    PA1              -0.354       NA                     -0.165   -0.100
    PA2              -0.314       NA                     -0.146   -0.091
    PA3              -0.206       NA                     -0.096   -0.062
    PSP              -0.102       NA                     -0.048   -0.061
    EO                0.492       NA                      0.229    0.176
    TO                0.105       NA                      0.049    0.034
    ADT               0.492       NA                      0.229    0.186

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EEC ~~                                                                
    EEF              -0.149       NA                    -15.657  -15.657
    WTA              -0.183       NA                     -7.029   -7.029
    PA                0.054       NA                      2.708    2.708
    PerceivedS       -0.025       NA                     -1.715   -1.715
    Environ          -0.063       NA                     -2.528   -2.528
    TechScie         -0.139       NA                     -3.950   -3.950
    Atti             -0.043       NA                     -1.921   -1.921
    CMF               0.423       NA                     26.230   26.230
  EEF ~~                                                                
    WTA              -0.097       NA                     -0.471   -0.471
    PA               -0.008       NA                     -0.049   -0.049
    PerceivedS       -0.089       NA                     -0.767   -0.767
    Environ          -0.132       NA                     -0.666   -0.666
    TechScie         -0.059       NA                     -0.212   -0.212
    Atti             -0.013       NA                     -0.071   -0.071
    CMF               0.854       NA                      6.690    6.690
  WTA ~~                                                                
    PA               -0.073       NA                     -0.169   -0.169
    PerceivedS       -0.097       NA                     -0.308   -0.308
    Environ          -0.180       NA                     -0.333   -0.333
    TechScie          0.151       NA                      0.198    0.198
    Atti             -0.223       NA                     -0.462   -0.462
    CMF               0.760       NA                      2.176    2.176
  PA ~~                                                                 
    PerceivedS        0.137       NA                      0.566    0.566
    Environ           0.041       NA                      0.098    0.098
    TechScie         -0.173       NA                     -0.295   -0.295
    Atti             -0.181       NA                     -0.488   -0.488
    CMF              -0.142       NA                     -0.530   -0.530
  PerceivedS ~~                                                         
    Environ           0.175       NA                      0.576    0.576
    TechScie         -0.035       NA                     -0.082   -0.082
    Atti             -0.209       NA                     -0.776   -0.776
    CMF               0.008       NA                      0.040    0.040
  Environ ~~                                                            
    TechScie         -0.296       NA                     -0.404   -0.404
    Atti             -0.135       NA                     -0.291   -0.291
    CMF               0.451       NA                      1.346    1.346
  TechScie ~~                                                           
    Atti              0.388       NA                      0.594    0.594
    CMF               0.094       NA                      0.199    0.199
  Atti ~~                                                               
    CMF               0.401       NA                      1.343    1.343

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .EEC1              0.797       NA                      0.797    0.429
   .EEC2              0.124       NA                      0.124    0.070
   .EEC3              1.030       NA                      1.030    0.576
   .EEF1              0.409       NA                      0.409    0.217
   .EEF2              0.373       NA                      0.373    0.190
   .EEF3              0.812       NA                      0.812    0.385
   .WTA1              2.115       NA                      2.115    0.613
   .WTA2              1.746       NA                      1.746    0.516
   .WTA3              0.224       NA                      0.224    0.099
   .WTA4              0.632       NA                      0.632    0.344
   .PA1               2.273       NA                      2.273    0.831
   .PA2               0.807       NA                      0.807    0.311
   .PA3               0.409       NA                      0.409    0.171
   .PSP               0.431       NA                      0.431    0.708
   .EO                0.674       NA                      0.674    0.399
   .TO                1.006       NA                      1.006    0.487
   .ADT               0.655       NA                      0.655    0.433
   .EEC4              1.256       NA                      1.256    0.773
    EEC              -0.001       NA                         NA       NA
    EEF               0.075       NA                      1.000    1.000
    WTA               0.564       NA                      1.000    1.000
    PA                0.334       NA                      1.000    1.000
    PerceivedS        0.177       NA                      1.000    1.000
    Environ           0.519       NA                      1.000    1.000
    TechScie          1.037       NA                      1.000    1.000
    Atti              0.412       NA                      1.000    1.000
    CMF               0.216       NA                      1.000    1.000

CFA

#CFA with Robust Maximum Likelihood ----
model_cfa<-'
  # Measurement model
  EEC =~ EEC1 + EEC2 + EEC3 + EEC4
  EEF =~ EEF1 + EEF2 + EEF3
  WTA =~ WTA1 + WTA2 + WTA3 + WTA4
  
  PA =~ PA1 + PA2 + PA3
  PerceivedS =~ PSP
  Environ =~ EO
  TechScie =~ TO
  AttiT =~ ADT'

fit_cfa <- cfa(model_cfa,data = data_short_good_participants, estimator = "MLR")

Warning: lavaan->lav_model_vcov():  
   The variance-covariance matrix of the estimated parameters (vcov) does not 
   appear to be positive definite! The smallest eigenvalue (= -2.187768e-15) 
   is smaller than zero. This may be a symptom that the model is not 
   identified.

summary(fit_cfa, ci = TRUE, fit.measures=TRUE, rsquare=TRUE,standardized=TRUE)

lavaan 0.6-19 ended normally after 67 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        60

  Number of observations                            37

Model Test User Model:
                                              Standard      Scaled
  Test Statistic                               192.582     209.181
  Degrees of freedom                               111         111
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  0.921
    Yuan-Bentler correction (Mplus variant)                       

Model Test Baseline Model:

  Test statistic                               538.730     553.536
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  0.973

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.789       0.755
  Tucker-Lewis Index (TLI)                       0.708       0.662
                                                                  
  Robust Comparative Fit Index (CFI)                         0.768
  Robust Tucker-Lewis Index (TLI)                            0.680

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)               -978.394    -978.394
  Scaling correction factor                                  1.071
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)       -882.103    -882.103
  Scaling correction factor                                  0.973
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                2076.787    2076.787
  Bayesian (BIC)                              2173.442    2173.442
  Sample-size adjusted Bayesian (SABIC)       1985.918    1985.918

Root Mean Square Error of Approximation:

  RMSEA                                          0.141       0.155
  90 Percent confidence interval - lower         0.107       0.121
  90 Percent confidence interval - upper         0.174       0.188
  P-value H_0: RMSEA <= 0.050                    0.000       0.000
  P-value H_0: RMSEA >= 0.080                    0.997       1.000
                                                                  
  Robust RMSEA                                               0.148
  90 Percent confidence interval - lower                     0.117
  90 Percent confidence interval - upper                     0.179
  P-value H_0: Robust RMSEA <= 0.050                         0.000
  P-value H_0: Robust RMSEA >= 0.080                         1.000

Standardized Root Mean Square Residual:

  SRMR                                           0.075       0.075

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
  EEC =~                                                                
    EEC1              1.000                               1.000    1.000
    EEC2              1.234    0.276    4.477    0.000    0.694    1.775
    EEC3              0.854    0.231    3.697    0.000    0.401    1.306
    EEC4              1.016    0.376    2.703    0.007    0.279    1.753
  EEF =~                                                                
    EEF1              1.000                               1.000    1.000
    EEF2              1.028    0.215    4.774    0.000    0.606    1.450
    EEF3              0.829    0.204    4.061    0.000    0.429    1.229
  WTA =~                                                                
    WTA1              1.000                               1.000    1.000
    WTA2              0.886    0.251    3.532    0.000    0.394    1.378
    WTA3              0.999    0.234    4.265    0.000    0.540    1.458
    WTA4              0.873    0.240    3.641    0.000    0.403    1.343
  PA =~                                                                 
    PA1               1.000                               1.000    1.000
    PA2               1.532    0.483    3.174    0.002    0.586    2.478
    PA3               1.859    0.664    2.800    0.005    0.558    3.161
  PerceivedS =~                                                         
    PSP               1.000                               1.000    1.000
  Environ =~                                                            
    EO                1.000                               1.000    1.000
  TechScie =~                                                           
    TO                1.000                               1.000    1.000
  AttiT =~                                                              
    ADT               1.000                               1.000    1.000
   Std.lv  Std.all
                  
    0.886    0.680
    1.093    0.879
    0.756    0.599
    0.900    0.857
                  
    1.102    0.847
    1.133    0.859
    0.914    0.656
                  
    1.295    0.668
    1.148    0.663
    1.294    0.886
    1.131    0.831
                  
    0.866    0.522
    1.327    0.818
    1.611    0.947
                  
    0.785    1.000
                  
    1.265    1.000
                  
    1.486    1.000
                  
    1.150    1.000

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
  EEC ~~                                                                
    EEF               0.899    0.371    2.420    0.016    0.171    1.626
    WTA               0.987    0.470    2.100    0.036    0.066    1.909
    PA               -0.152    0.132   -1.149    0.251   -0.410    0.107
    PerceivedS       -0.221    0.218   -1.012    0.311   -0.648    0.207
    Environ           0.745    0.328    2.272    0.023    0.102    1.387
    TechScie          0.042    0.201    0.209    0.834   -0.352    0.437
    AttiT             0.462    0.173    2.678    0.007    0.124    0.801
  EEF ~~                                                                
    WTA               1.122    0.481    2.331    0.020    0.179    2.066
    PA               -0.227    0.142   -1.592    0.111   -0.506    0.052
    PerceivedS       -0.324    0.276   -1.174    0.240   -0.866    0.217
    Environ           0.769    0.312    2.470    0.014    0.159    1.380
    TechScie          0.172    0.227    0.758    0.449   -0.273    0.617
    AttiT             0.482    0.241    1.996    0.046    0.009    0.955
  WTA ~~                                                                
    PA               -0.372    0.217   -1.713    0.087   -0.798    0.054
    PerceivedS       -0.237    0.300   -0.791    0.429   -0.825    0.351
    Environ           0.862    0.450    1.916    0.055   -0.020    1.744
    TechScie          0.331    0.318    1.041    0.298   -0.292    0.954
    AttiT             0.357    0.291    1.229    0.219   -0.212    0.927
  PA ~~                                                                 
    PerceivedS        0.250    0.134    1.868    0.062   -0.012    0.513
    Environ          -0.171    0.202   -0.845    0.398   -0.566    0.225
    TechScie         -0.336    0.293   -1.146    0.252   -0.909    0.238
    AttiT            -0.352    0.306   -1.149    0.251   -0.952    0.248
  PerceivedS ~~                                                         
    Environ          -0.004    0.222   -0.016    0.987   -0.439    0.431
    TechScie         -0.116    0.174   -0.666    0.505   -0.458    0.225
    AttiT            -0.237    0.173   -1.365    0.172   -0.577    0.103
  Environ ~~                                                            
    TechScie          0.087    0.304    0.286    0.775   -0.509    0.683
    AttiT             0.499    0.241    2.068    0.039    0.026    0.972
  TechScie ~~                                                           
    AttiT             0.562    0.324    1.738    0.082   -0.072    1.197
   Std.lv  Std.all
                  
    0.920    0.920
    0.861    0.861
   -0.198   -0.198
   -0.318   -0.318
    0.665    0.665
    0.032    0.032
    0.454    0.454
                  
    0.786    0.786
   -0.237   -0.237
   -0.375   -0.375
    0.552    0.552
    0.105    0.105
    0.380    0.380
                  
   -0.332   -0.332
   -0.233   -0.233
    0.527    0.527
    0.172    0.172
    0.240    0.240
                  
    0.368    0.368
   -0.156   -0.156
   -0.261   -0.261
   -0.353   -0.353
                  
   -0.004   -0.004
   -0.100   -0.100
   -0.262   -0.262
                  
    0.046    0.046
    0.343    0.343
                  
    0.329    0.329

Variances:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
   .EEC1              0.910    0.246    3.704    0.000    0.429    1.392
   .EEC2              0.351    0.143    2.454    0.014    0.071    0.631
   .EEC3              1.022    0.281    3.643    0.000    0.472    1.573
   .EEC4              0.292    0.092    3.159    0.002    0.111    0.473
   .EEF1              0.479    0.170    2.814    0.005    0.145    0.813
   .EEF2              0.455    0.229    1.990    0.047    0.007    0.903
   .EEF3              1.103    0.276    4.005    0.000    0.563    1.643
   .WTA1              2.080    0.697    2.984    0.003    0.714    3.447
   .WTA2              1.680    0.592    2.837    0.005    0.519    2.841
   .WTA3              0.457    0.257    1.781    0.075   -0.046    0.960
   .WTA4              0.571    0.195    2.936    0.003    0.190    0.952
   .PA1               1.998    0.689    2.901    0.004    0.648    3.348
   .PA2               0.870    0.272    3.193    0.001    0.336    1.403
   .PA3               0.300    0.315    0.954    0.340   -0.317    0.917
   .PSP               0.000                               0.000    0.000
   .EO                0.000                               0.000    0.000
   .TO                0.000                               0.000    0.000
   .ADT               0.000                               0.000    0.000
    EEC               0.784    0.469    1.671    0.095   -0.136    1.704
    EEF               1.215    0.481    2.526    0.012    0.272    2.159
    WTA               1.677    0.749    2.239    0.025    0.209    3.146
    PA                0.750    0.500    1.500    0.134   -0.230    1.730
    PerceivedS        0.617    0.184    3.351    0.001    0.256    0.977
    Environ           1.600    0.367    4.358    0.000    0.880    2.319
    TechScie          2.207    0.404    5.459    0.000    1.415    3.000
    AttiT             1.324    0.322    4.106    0.000    0.692    1.955
   Std.lv  Std.all
    0.910    0.537
    0.351    0.227
    1.022    0.641
    0.292    0.265
    0.479    0.283
    0.455    0.262
    1.103    0.569
    2.080    0.554
    1.680    0.560
    0.457    0.214
    0.571    0.309
    1.998    0.727
    0.870    0.331
    0.300    0.104
    0.000    0.000
    0.000    0.000
    0.000    0.000
    0.000    0.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000

R-Square:
                   Estimate
    EEC1              0.463
    EEC2              0.773
    EEC3              0.359
    EEC4              0.735
    EEF1              0.717
    EEF2              0.738
    EEF3              0.431
    WTA1              0.446
    WTA2              0.440
    WTA3              0.786
    WTA4              0.691
    PA1               0.273
    PA2               0.669
    PA3               0.896
    PSP               1.000
    EO                1.000
    TO                1.000
    ADT               1.000

lavaanPlot(model = fit_cfa, node_options = list(shape = "box", fontname = "Helvetica"), edge_options = list(color = "grey"),
           coefs = T, stand=T)

#Construct Reliability:
semTools::compRelSEM(fit_cfa, tau.eq=T, obs.var=T) #Cronbach Alpha

  EEC   EEF   WTA    PA 
0.837 0.832 0.827 0.784 

semTools::compRelSEM(fit_cfa, tau.eq=F, obs.var=T) #Omega

  EEC   EEF   WTA    PA 
0.828 0.822 0.839 0.835 

AVE(fit_cfa, obs.var = TRUE, omit.imps = c("no.conv", "no.se"),
    omit.factors = character(0), dropSingle = TRUE, return.df = TRUE)

  EEC   EEF   WTA    PA 
0.566 0.621 0.554 0.617 

#Standardized residuals
lavResiduals(fit_cfa, type = "cor.bentler", custom.rmr = NULL,
             se = FALSE, zstat = TRUE, summary = TRUE, h1.acov = "unstructured",
             add.type = TRUE, add.labels = TRUE, add.class = TRUE,
             drop.list.single.group = TRUE,
             maximum.number = length(res.vech), output = "list")

$type
[1] "cor.bentler"

$cov
       EEC1   EEC2   EEC3   EEC4   EEF1   EEF2   EEF3   WTA1   WTA2   WTA3
EEC1  0.000                                                               
EEC2  0.094  0.000                                                        
EEC3  0.014  0.067  0.000                                                 
EEC4 -0.126 -0.016 -0.002  0.000                                          
EEF1  0.049  0.009  0.016  0.021  0.000                                   
EEF2  0.043 -0.041 -0.065  0.037 -0.017  0.000                            
EEF3 -0.011 -0.124  0.110  0.016 -0.002  0.047  0.000                     
WTA1  0.115  0.080  0.165  0.218 -0.009  0.016  0.034  0.000              
WTA2 -0.140 -0.074  0.009  0.117 -0.006 -0.010  0.235  0.045  0.000       
WTA3 -0.055 -0.028 -0.108  0.011 -0.101 -0.076  0.066 -0.024  0.072  0.000
WTA4  0.094 -0.038 -0.009 -0.045  0.071  0.053  0.187 -0.072 -0.100  0.023
PA1   0.025  0.041  0.021  0.020  0.051 -0.043  0.116 -0.093  0.038 -0.156
PA2   0.018  0.014 -0.071 -0.097  0.154 -0.141 -0.088  0.073 -0.003 -0.074
PA3  -0.079  0.083 -0.084 -0.026  0.141 -0.098 -0.072  0.082  0.002 -0.006
PSP   0.232  0.006 -0.116 -0.065  0.011 -0.064  0.155  0.075  0.028 -0.104
EO    0.197  0.014  0.000 -0.094  0.098 -0.064 -0.071  0.064 -0.153 -0.059
TO    0.029 -0.075  0.041  0.067 -0.042  0.062 -0.068 -0.097 -0.123  0.031
ADT  -0.103 -0.030 -0.011  0.079 -0.040  0.045 -0.025  0.153 -0.015 -0.016
       WTA4    PA1    PA2    PA3    PSP     EO     TO    ADT
EEC1                                                        
EEC2                                                        
EEC3                                                        
EEC4                                                        
EEF1                                                        
EEF2                                                        
EEF3                                                        
WTA1                                                        
WTA2                                                        
WTA3                                                        
WTA4  0.000                                                 
PA1  -0.005  0.000                                          
PA2   0.011 -0.057  0.000                                   
PA3   0.012 -0.006  0.006  0.000                            
PSP   0.114  0.104 -0.080  0.013  0.000                     
EO    0.128 -0.050 -0.036  0.014  0.000  0.000              
TO    0.050 -0.091  0.024  0.001  0.000  0.000  0.000       
ADT  -0.038 -0.096 -0.063  0.025  0.000  0.000  0.000  0.000

$cov.z
       EEC1   EEC2   EEC3   EEC4   EEF1   EEF2   EEF3   WTA1   WTA2   WTA3
EEC1  0.000                                                               
EEC2  0.856  0.000                                                        
EEC3  0.124  0.532  0.000                                                 
EEC4 -1.016 -0.155 -0.009  0.000                                          
EEF1  0.414  0.101  0.107  0.250  0.000                                   
EEF2  0.412 -0.435 -0.336  0.313 -0.121  0.000                            
EEF3 -0.091 -1.100  0.858  0.143 -0.022  0.501  0.000                     
WTA1  0.779  0.463  1.169  1.795 -0.079  0.138  0.311  0.000              
WTA2 -0.939 -0.568  0.066  0.809 -0.039 -0.071  1.580  0.295  0.000       
WTA3 -0.595 -0.274 -0.459  0.069 -0.615 -0.421  0.514 -0.197  0.659  0.000
WTA4  0.662 -0.525 -0.061 -0.458  0.673  0.524  1.551 -0.559 -0.720  0.234
PA1   0.160  0.304  0.150  0.130  0.384 -0.435  0.884 -0.668  0.261 -1.308
PA2   0.110  0.098 -0.537 -0.745  1.024 -0.996 -0.627  0.397 -0.021 -0.570
PA3  -0.724  0.748 -0.801 -0.270  1.650 -1.095 -0.566  0.507  0.016 -0.051
PSP   1.518  0.035 -1.045 -0.348  0.056 -0.465  1.118  0.399  0.131 -0.605
EO    1.452  0.152  0.003 -0.721  0.645 -0.465 -0.688  0.494 -1.368 -0.322
TO    0.209 -0.682  0.320  0.562 -0.419  0.616 -0.573 -0.707 -1.008  0.314
ADT  -0.767 -0.432 -0.083  1.048 -0.483  0.411 -0.267  0.862 -0.151 -0.221
       WTA4    PA1    PA2    PA3    PSP     EO     TO    ADT
EEC1                                                        
EEC2                                                        
EEC3                                                        
EEC4                                                        
EEF1                                                        
EEF2                                                        
EEF3                                                        
WTA1                                                        
WTA2                                                        
WTA3                                                        
WTA4  0.000                                                 
PA1  -0.032  0.000                                          
PA2   0.068 -0.418  0.000                                   
PA3   0.100 -0.046  0.045  0.000                            
PSP   0.539  0.547 -0.468  0.103  0.000                     
EO    1.116 -0.375 -0.282  0.101  0.000  0.000              
TO    0.329 -0.526  0.209  0.007  0.000  0.000  0.000       
ADT  -0.399 -0.782 -0.694  0.284  0.000  0.000  0.000  0.000

$summary
                           cov
srmr                     0.075
srmr.se                  0.038
srmr.exactfit.z          0.000
srmr.exactfit.pvalue     0.500
usrmr                    0.000
usrmr.se                 0.135
usrmr.ci.lower          -0.221
usrmr.ci.upper           0.221
usrmr.closefit.h0.value  0.050
usrmr.closefit.z        -0.371
usrmr.closefit.pvalue    0.645

Mediation scales (N=53)

MCT

1. Descriptive analysis

       vars  n mean   sd median trimmed  mad min max range  skew kurtosis   se
MCT_S1    1 30 3.47 1.48    3.0    3.42 1.48   1   7     6  0.37    -0.65 0.27
MCT_S2    2 30 4.27 1.20    4.5    4.33 0.74   1   7     6 -0.50     0.55 0.22
MCT_S3    3 30 4.07 1.14    4.0    4.21 1.48   1   6     5 -0.79     0.02 0.21
MCT_C1    4 30 4.17 1.39    4.0    4.12 1.48   1   7     6  0.08    -0.38 0.25
MCT_C2    5 30 4.73 1.36    5.0    4.83 1.48   1   7     6 -0.72     0.35 0.25
MCT_C3    6 30 4.87 1.31    5.0    4.88 1.48   2   7     5 -0.12    -0.61 0.24
EEC1      7 30 5.50 1.43    6.0    5.71 1.48   1   7     6 -1.36     1.85 0.26
EEC2      8 30 5.33 1.37    5.0    5.50 1.48   1   7     6 -1.05     1.37 0.25
EEC3      9 30 5.03 1.40    5.0    5.12 1.48   1   7     6 -0.93     0.48 0.26
EEC4     10 30 5.00 1.36    5.0    5.21 1.48   1   7     6 -1.26     1.44 0.25
EEF1     11 30 5.23 1.52    6.0    5.42 1.48   1   7     6 -1.06     0.46 0.28
EEF2     12 30 5.20 1.42    5.5    5.33 0.74   1   7     6 -1.03     0.68 0.26
EEF3     13 30 4.87 1.57    5.0    4.92 1.48   1   7     6 -0.41    -0.68 0.29
WTA1     14 30 4.53 1.85    5.0    4.67 1.48   1   7     6 -0.59    -0.67 0.34
WTA2     15 30 4.43 1.81    5.0    4.54 1.48   1   7     6 -0.50    -0.84 0.33
WTA3     16 30 4.97 1.54    5.0    5.12 1.48   1   7     6 -0.93     0.29 0.28
WTA4     17 30 5.93 1.20    6.0    6.12 1.48   2   7     5 -1.38     1.76 0.22
PA1      18 30 4.30 1.88    5.0    4.38 2.22   1   7     6 -0.21    -1.03 0.34
PA2      19 30 4.10 1.60    4.0    4.04 1.48   1   7     6  0.09    -0.80 0.29
PA3      20 30 5.17 1.74    5.0    5.38 2.22   1   7     6 -0.70    -0.56 0.32
PSP      21 30 2.73 0.83    3.0    2.62 1.48   2   5     3  0.85    -0.10 0.15
EO       22 30 5.83 1.05    6.0    5.96 1.48   3   7     4 -0.71    -0.10 0.19
TO       23 30 4.43 1.36    5.0    4.54 1.48   1   7     6 -0.55    -0.08 0.25
ADT      24 30 4.97 1.43    5.0    5.04 1.48   2   7     5 -0.36    -0.63 0.26

Kaiser-Meyer-Olkin factor adequacy
Call: KMO(r = data_efa_mct)
Overall MSA =  0.43
MSA for each item = 
MCT_S1 MCT_S2 MCT_S3 MCT_C1 MCT_C2 MCT_C3   EEC1   EEC2   EEC3   EEC4   EEF1 
  0.46   0.28   0.63   0.75   0.32   0.23   0.57   0.45   0.27   0.56   0.55 
  EEF2   EEF3   WTA1   WTA2   WTA3   WTA4    PA1    PA2    PA3    PSP     EO 
  0.66   0.79   0.47   0.43   0.75   0.49   0.14   0.39   0.36   0.29   0.12 
    TO    ADT 
  0.07   0.35 

2. CFA

model_cfa<-'
  # Measurement model
  EEC =~ EEC1 + EEC3 + EEC4
  EEF_WTA =~ EEF1 + EEF3 + WTA1 + WTA2 + WTA4
  PA =~ PA1 + PA2 + PA3 + PSP
  MCT_supportive =~ MCT_S1 + MCT_S2 + MCT_S3
  MCT_controlling =~ MCT_C1 + MCT_C3
  Environ =~ EO
  TechScie =~ TO
  AttiT =~ ADT'
fit_cfa <- cfa(model_cfa, data = data_mct, estimator = "MLR")

Warning: lavaan->lav_model_vcov():  
   The variance-covariance matrix of the estimated parameters (vcov) does not 
   appear to be positive definite! The smallest eigenvalue (= -6.856363e-14) 
   is smaller than zero. This may be a symptom that the model is not 
   identified.

Warning: lavaan->lav_object_post_check():  
   some estimated ov variances are negative

Warning: lavaan->lav_object_post_check():  
   covariance matrix of latent variables is not positive definite ; use 
   lavInspect(fit, "cov.lv") to investigate.

summary(fit_cfa, ci = TRUE, fit.measures=TRUE, rsquare=TRUE,standardized=TRUE)

lavaan 0.6-19 ended normally after 121 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        65

  Number of observations                            30

Model Test User Model:
                                              Standard      Scaled
  Test Statistic                               280.082     333.840
  Degrees of freedom                               145         145
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  0.839
    Yuan-Bentler correction (Mplus variant)                       

Model Test Baseline Model:

  Test statistic                               549.522     592.516
  Degrees of freedom                               190         190
  P-value                                        0.000       0.000
  Scaling correction factor                                  0.927

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.624       0.531
  Tucker-Lewis Index (TLI)                       0.508       0.385
                                                                  
  Robust Comparative Fit Index (CFI)                         0.576
  Robust Tucker-Lewis Index (TLI)                            0.444

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)               -909.368    -909.368
  Scaling correction factor                                  1.175
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)       -769.327    -769.327
  Scaling correction factor                                  0.943
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                1948.736    1948.736
  Bayesian (BIC)                              2039.814    2039.814
  Sample-size adjusted Bayesian (SABIC)       1837.436    1837.436

Root Mean Square Error of Approximation:

  RMSEA                                          0.176       0.208
  90 Percent confidence interval - lower         0.145       0.176
  90 Percent confidence interval - upper         0.207       0.240
  P-value H_0: RMSEA <= 0.050                    0.000       0.000
  P-value H_0: RMSEA >= 0.080                    1.000       1.000
                                                                  
  Robust RMSEA                                               0.191
  90 Percent confidence interval - lower                     0.164
  90 Percent confidence interval - upper                     0.218
  P-value H_0: Robust RMSEA <= 0.050                         0.000
  P-value H_0: Robust RMSEA >= 0.080                         1.000

Standardized Root Mean Square Residual:

  SRMR                                           0.118       0.118

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                     Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
  EEC =~                                                                  
    EEC1                1.000                               1.000    1.000
    EEC3                0.894    0.497    1.797    0.072   -0.081    1.868
    EEC4                1.563    0.836    1.870    0.061   -0.075    3.201
  EEF_WTA =~                                                              
    EEF1                1.000                               1.000    1.000
    EEF3                0.982    0.207    4.749    0.000    0.576    1.387
    WTA1                1.009    0.182    5.558    0.000    0.653    1.365
    WTA2                0.967    0.203    4.762    0.000    0.569    1.365
    WTA4                0.645    0.156    4.146    0.000    0.340    0.950
  PA =~                                                                   
    PA1                 1.000                               1.000    1.000
    PA2                 7.499   10.883    0.689    0.491  -13.831   28.828
    PA3                 4.186    4.370    0.958    0.338   -4.379   12.750
    PSP                 0.585    0.766    0.764    0.445   -0.915    2.086
  MCT_supportive =~                                                       
    MCT_S1              1.000                               1.000    1.000
    MCT_S2              0.386    0.177    2.175    0.030    0.038    0.733
    MCT_S3              1.119    0.381    2.935    0.003    0.372    1.867
  MCT_controlling =~                                                      
    MCT_C1              1.000                               1.000    1.000
    MCT_C3              0.580    0.263    2.201    0.028    0.064    1.096
  Environ =~                                                              
    EO                  1.000                               1.000    1.000
  TechScie =~                                                             
    TO                  1.000                               1.000    1.000
  AttiT =~                                                                
    ADT                 1.000                               1.000    1.000
   Std.lv  Std.all
                  
    0.729    0.518
    0.652    0.473
    1.140    0.850
                  
    1.308    0.873
    1.284    0.832
    1.320    0.725
    1.265    0.710
    0.844    0.715
                  
    0.257    0.139
    1.925    1.220
    1.075    0.627
    0.150    0.185
                  
    0.980    0.674
    0.378    0.320
    1.097    0.976
                  
    1.349    0.986
    0.782    0.609
                  
    1.035    1.000
                  
    1.334    1.000
                  
    1.402    1.000

Covariances:
                     Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
  EEC ~~                                                                  
    EEF_WTA             0.954    0.746    1.279    0.201   -0.507    2.415
    PA                 -0.036    0.097   -0.374    0.708   -0.227    0.154
    MCT_supportive      0.454    0.353    1.285    0.199   -0.238    1.146
    MCT_controllng     -0.580    0.528   -1.098    0.272   -1.615    0.455
    Environ             0.241    0.189    1.272    0.203   -0.130    0.612
    TechScie            0.180    0.167    1.074    0.283   -0.148    0.508
    AttiT               0.691    0.488    1.415    0.157   -0.266    1.648
  EEF_WTA ~~                                                              
    PA                 -0.075    0.149   -0.504    0.615   -0.367    0.217
    MCT_supportive      0.946    0.398    2.380    0.017    0.167    1.726
    MCT_controllng     -0.783    0.560   -1.398    0.162   -1.881    0.315
    Environ             0.543    0.342    1.588    0.112   -0.127    1.214
    TechScie            0.180    0.352    0.511    0.609   -0.510    0.870
    AttiT               0.989    0.540    1.833    0.067   -0.069    2.047
  PA ~~                                                                   
    MCT_supportive     -0.077    0.124   -0.617    0.537   -0.320    0.167
    MCT_controllng      0.161    0.266    0.606    0.545   -0.361    0.683
    Environ             0.006    0.034    0.172    0.863   -0.061    0.073
    TechScie            0.063    0.089    0.701    0.483   -0.112    0.238
    AttiT              -0.068    0.165   -0.411    0.681   -0.391    0.255
  MCT_supportive ~~                                                       
    MCT_controllng     -0.767    0.375   -2.049    0.040   -1.501   -0.033
    Environ             0.243    0.214    1.137    0.256   -0.176    0.663
    TechScie           -0.137    0.188   -0.728    0.467   -0.505    0.231
    AttiT               0.734    0.434    1.691    0.091   -0.117    1.585
  MCT_controlling ~~                                                      
    Environ            -0.204    0.359   -0.567    0.571   -0.908    0.501
    TechScie            0.161    0.418    0.385    0.700   -0.659    0.981
    AttiT              -0.520    0.434   -1.197    0.231   -1.371    0.331
  Environ ~~                                                              
    TechScie            0.106    0.235    0.450    0.653   -0.355    0.566
    AttiT               0.428    0.300    1.425    0.154   -0.160    1.016
  TechScie ~~                                                             
    AttiT               0.414    0.384    1.080    0.280   -0.338    1.166
   Std.lv  Std.all
                  
    1.000    1.000
   -0.194   -0.194
    0.635    0.635
   -0.589   -0.589
    0.319    0.319
    0.185    0.185
    0.676    0.676
                  
   -0.223   -0.223
    0.738    0.738
   -0.444   -0.444
    0.401    0.401
    0.103    0.103
    0.539    0.539
                  
   -0.304   -0.304
    0.466    0.466
    0.022    0.022
    0.183    0.183
   -0.188   -0.188
                  
   -0.580   -0.580
    0.240    0.240
   -0.105   -0.105
    0.534    0.534
                  
   -0.146   -0.146
    0.089    0.089
   -0.275   -0.275
                  
    0.076    0.076
    0.295    0.295
                  
    0.222    0.222

Variances:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
   .EEC1              1.452    0.624    2.328    0.020    0.229    2.674
   .EEC3              1.474    0.442    3.339    0.001    0.609    2.340
   .EEC4              0.501    0.308    1.624    0.104   -0.104    1.105
   .EEF1              0.534    0.247    2.163    0.031    0.050    1.018
   .EEF3              0.733    0.317    2.315    0.021    0.113    1.354
   .WTA1              1.573    0.701    2.245    0.025    0.200    2.946
   .WTA2              1.578    0.458    3.447    0.001    0.681    2.475
   .WTA4              0.683    0.360    1.899    0.058   -0.022    1.388
   .PA1               3.344    0.681    4.911    0.000    2.009    4.679
   .PA2              -1.217    2.340   -0.520    0.603   -5.803    3.368
   .PA3               1.784    0.799    2.233    0.026    0.218    3.349
   .PSP               0.640    0.170    3.764    0.000    0.307    0.973
   .MCT_S1            1.155    0.360    3.209    0.001    0.450    1.861
   .MCT_S2            1.253    0.333    3.762    0.000    0.600    1.905
   .MCT_S3            0.059    0.264    0.224    0.823   -0.458    0.576
   .MCT_C1            0.052    0.639    0.081    0.935   -1.200    1.304
   .MCT_C3            1.037    0.366    2.833    0.005    0.320    1.754
   .EO                0.000                               0.000    0.000
   .TO                0.000                               0.000    0.000
   .ADT               0.000                               0.000    0.000
    EEC               0.532    0.636    0.836    0.403   -0.715    1.778
    EEF_WTA           1.711    0.743    2.304    0.021    0.256    3.167
    PA                0.066    0.165    0.399    0.690   -0.258    0.390
    MCT_supportive    0.960    0.431    2.228    0.026    0.116    1.805
    MCT_controllng    1.820    0.836    2.176    0.030    0.181    3.460
    Environ           1.072    0.284    3.775    0.000    0.516    1.629
    TechScie          1.779    0.473    3.758    0.000    0.851    2.707
    AttiT             1.966    0.445    4.413    0.000    1.093    2.839
   Std.lv  Std.all
    1.452    0.732
    1.474    0.776
    0.501    0.278
    0.534    0.238
    0.733    0.308
    1.573    0.474
    1.578    0.496
    0.683    0.489
    3.344    0.981
   -1.217   -0.489
    1.784    0.607
    0.640    0.966
    1.155    0.546
    1.253    0.898
    0.059    0.047
    0.052    0.028
    1.037    0.629
    0.000    0.000
    0.000    0.000
    0.000    0.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000

R-Square:
                   Estimate
    EEC1              0.268
    EEC3              0.224
    EEC4              0.722
    EEF1              0.762
    EEF3              0.692
    WTA1              0.526
    WTA2              0.504
    WTA4              0.511
    PA1               0.019
    PA2                  NA
    PA3               0.393
    PSP               0.034
    MCT_S1            0.454
    MCT_S2            0.102
    MCT_S3            0.953
    MCT_C1            0.972
    MCT_C3            0.371
    EO                1.000
    TO                1.000
    ADT               1.000

lavaanPlot(model = fit_cfa, node_options = list(shape = "box", fontname = "Helvetica"), edge_options = list(color = "grey"),
           coefs = T, stand=T)

#Construct Reliability
semTools::compRelSEM(fit_cfa, tau.eq=T, obs.var=T) #Cronbach Alpha

            EEC         EEF_WTA              PA  MCT_supportive MCT_controlling 
          0.657           0.871           0.674           0.718           0.750 

semTools::compRelSEM(fit_cfa, tau.eq=F, obs.var=T) #Omega

            EEC         EEF_WTA              PA  MCT_supportive MCT_controlling 
          0.628           0.877           0.604           0.658           0.807 

AVE(fit_cfa, obs.var = TRUE, omit.imps = c("no.conv", "no.se"),
    omit.factors = character(0), dropSingle = TRUE, return.df = TRUE)

            EEC         EEF_WTA              PA  MCT_supportive MCT_controlling 
          0.397           0.592           0.521           0.483           0.691 

#Standardized residuals
lavResiduals(fit_cfa, type = "cor.bentler", custom.rmr = NULL,
             se = FALSE, zstat = TRUE, summary = TRUE, h1.acov = "unstructured",
             add.type = TRUE, add.labels = TRUE, add.class = TRUE,
             drop.list.single.group = TRUE,
             maximum.number = length(res.vech), output = "list")

$type
[1] "cor.bentler"

$cov
         EEC1   EEC3   EEC4   EEF1   EEF3   WTA1   WTA2   WTA4    PA1    PA2
EEC1    0.000                                                               
EEC3    0.090  0.000                                                        
EEC4   -0.122  0.121  0.000                                                 
EEF1    0.014  0.165  0.054  0.000                                          
EEF3   -0.093  0.095 -0.063 -0.007  0.000                                   
WTA1   -0.076  0.075  0.066 -0.055 -0.103  0.000                            
WTA2   -0.135 -0.165  0.038 -0.034  0.073 -0.042  0.000                     
WTA4   -0.170 -0.132 -0.081  0.025  0.114 -0.068  0.171  0.000              
PA1    -0.287 -0.122 -0.165  0.026  0.321 -0.253  0.064  0.261  0.000       
PA2    -0.095  0.003 -0.066  0.059 -0.042 -0.181 -0.059 -0.052  0.049  0.000
PA3    -0.123 -0.001 -0.128 -0.049 -0.026 -0.162 -0.142 -0.174  0.181  0.005
PSP     0.193 -0.272 -0.092 -0.077  0.139 -0.032  0.086 -0.093  0.205  0.107
MCT_S1 -0.075 -0.060  0.217  0.005  0.045 -0.027 -0.058 -0.066  0.063 -0.119
MCT_S2 -0.065 -0.102  0.101 -0.222 -0.177  0.181 -0.175 -0.228 -0.313 -0.343
MCT_S3 -0.174 -0.101  0.048 -0.064  0.021  0.030  0.023  0.091  0.080  0.039
MCT_C1 -0.158  0.166  0.003  0.005  0.090 -0.080 -0.074 -0.010  0.061  0.003
MCT_C3 -0.238  0.003  0.054 -0.025 -0.020 -0.144 -0.103 -0.142  0.006  0.022
EO     -0.108  0.040  0.017 -0.024 -0.035  0.110  0.007  0.004 -0.134 -0.098
TO     -0.158 -0.150  0.066  0.143 -0.106 -0.129 -0.166  0.135  0.003 -0.117
ADT    -0.206  0.009  0.046  0.025  0.011  0.073 -0.097 -0.065 -0.137 -0.085
          PA3    PSP MCT_S1 MCT_S2 MCT_S3 MCT_C1 MCT_C3     EO     TO    ADT
EEC1                                                                        
EEC3                                                                        
EEC4                                                                        
EEF1                                                                        
EEF3                                                                        
WTA1                                                                        
WTA2                                                                        
WTA4                                                                        
PA1                                                                         
PA2                                                                         
PA3     0.000                                                               
PSP     0.251  0.000                                                        
MCT_S1 -0.264 -0.139  0.000                                                 
MCT_S2 -0.208 -0.151  0.197  0.000                                          
MCT_S3  0.094 -0.108 -0.004  0.001  0.000                                   
MCT_C1 -0.001 -0.015 -0.055 -0.216  0.009  0.000                            
MCT_C3  0.165  0.073 -0.068  0.005 -0.088  0.000  0.000                     
EO     -0.224  0.022 -0.066 -0.040  0.005 -0.001  0.047  0.000              
TO     -0.263 -0.112  0.190 -0.294 -0.006  0.000 -0.001  0.000  0.000       
ADT    -0.143 -0.236  0.220 -0.045 -0.012 -0.004  0.147  0.000  0.000  0.000

$cov.z
         EEC1   EEC3   EEC4   EEF1   EEF3   WTA1   WTA2   WTA4    PA1    PA2
EEC1    0.000                                                               
EEC3    0.393  0.000                                                        
EEC4   -0.470  0.488  0.000                                                 
EEF1    0.069  0.724  0.288  0.000                                          
EEF3   -0.402  0.390 -0.299 -0.031  0.000                                   
WTA1   -0.308  0.275  0.339 -0.337 -0.476  0.000                            
WTA2   -0.638 -0.573  0.276 -0.143  0.270 -0.189  0.000                     
WTA4   -0.661 -0.446 -0.385  0.185  0.682 -0.561  0.793  0.000              
PA1    -1.588 -0.642 -0.821  0.116  1.598 -1.327  0.309  1.003  0.000       
PA2    -0.620  0.022 -0.317  0.363 -0.194 -0.611 -0.384 -0.362  0.151  0.000
PA3    -0.954 -0.008 -0.762 -0.282 -0.112 -0.679 -0.729 -1.103  0.878  0.016
PSP     1.442 -1.498 -0.415 -0.359  0.888 -0.144  0.389 -0.497  0.981  0.573
MCT_S1 -0.378 -0.261  1.229  0.024  0.240 -0.091 -0.259 -0.400  0.317 -0.627
MCT_S2 -0.209 -0.352  0.403 -0.493 -0.504  0.795 -0.516 -0.671 -2.129 -1.787
MCT_S3 -0.835 -0.368  0.284 -0.349  0.119  0.137  0.106  0.572  0.300  0.183
MCT_C1 -0.664  0.864  0.020  0.047  0.625 -0.481 -0.578 -0.103  0.312  0.015
MCT_C3 -1.023  0.019  0.167 -0.114 -0.095 -1.262 -0.481 -0.584  0.031  0.106
EO     -0.462  0.193  0.124 -0.166 -0.378  0.739  0.051  0.030 -0.754 -0.844
TO     -0.727 -0.956  0.295  0.532 -0.402 -0.390 -0.633  0.596  0.020 -0.394
ADT    -0.741  0.030  0.248  0.123  0.089  0.266 -0.428 -0.325 -0.884 -0.313
          PA3    PSP MCT_S1 MCT_S2 MCT_S3 MCT_C1 MCT_C3     EO     TO    ADT
EEC1                                                                        
EEC3                                                                        
EEC4                                                                        
EEF1                                                                        
EEF3                                                                        
WTA1                                                                        
WTA2                                                                        
WTA4                                                                        
PA1                                                                         
PA2                                                                         
PA3     0.000                                                               
PSP     1.882  0.000                                                        
MCT_S1 -1.284 -0.827  0.000                                                 
MCT_S2 -1.531 -0.807  0.752  0.000                                          
MCT_S3  0.374 -0.520 -0.017  0.002  0.000                                   
MCT_C1 -0.005 -0.060 -0.331 -0.735  0.061  0.000                            
MCT_C3  0.742  0.341 -0.343  0.019 -0.406  0.000  0.000                     
EO     -1.396  0.077 -0.478 -0.171  0.030 -0.009  0.325  0.000              
TO     -0.922 -0.516  0.700 -1.191 -0.021  0.000 -0.006  0.000  0.000       
ADT    -0.677 -1.260  1.220 -0.151 -0.049 -0.018  0.436  0.000  0.000  0.000

$summary
                           cov
srmr                     0.118
srmr.se                  0.066
srmr.exactfit.z          0.000
srmr.exactfit.pvalue     0.500
usrmr                    0.000
usrmr.se                 0.492
usrmr.ci.lower          -0.810
usrmr.ci.upper           0.810
usrmr.closefit.h0.value  0.050
usrmr.closefit.z        -0.102
usrmr.closefit.pvalue    0.540

3. Correlation Analysis

Barlett test

$chisq
[1] 630.0695

$p.value
[1] 1.007372e-29

$df
[1] 276

       MCT_S1 MCT_S2 MCT_S3    MCT_C1    MCT_C2 MCT_C3 EEC1      EEC2 EEC3
MCT_S1      1     NA     NA        NA        NA     NA   NA        NA   NA
MCT_S2     NA      1     NA        NA        NA     NA   NA        NA   NA
MCT_S3     NA     NA      1        NA        NA     NA   NA        NA   NA
MCT_C1     NA     NA     NA 1.0000000 0.8059925     NA   NA        NA   NA
MCT_C2     NA     NA     NA 0.8059925 1.0000000     NA   NA        NA   NA
MCT_C3     NA     NA     NA        NA        NA      1   NA        NA   NA
EEC1       NA     NA     NA        NA        NA     NA    1        NA   NA
EEC2       NA     NA     NA        NA        NA     NA   NA 1.0000000   NA
EEC3       NA     NA     NA        NA        NA     NA   NA        NA    1
EEC4       NA     NA     NA        NA        NA     NA   NA 0.8466417   NA
EEF1       NA     NA     NA        NA        NA     NA   NA 0.8019509   NA
EEF2       NA     NA     NA        NA        NA     NA   NA        NA   NA
EEF3       NA     NA     NA        NA        NA     NA   NA        NA   NA
WTA1       NA     NA     NA        NA        NA     NA   NA        NA   NA
WTA2       NA     NA     NA        NA        NA     NA   NA        NA   NA
WTA3       NA     NA     NA        NA        NA     NA   NA        NA   NA
WTA4       NA     NA     NA        NA        NA     NA   NA        NA   NA
PA1        NA     NA     NA        NA        NA     NA   NA        NA   NA
PA2        NA     NA     NA        NA        NA     NA   NA        NA   NA
PA3        NA     NA     NA        NA        NA     NA   NA        NA   NA
PSP        NA     NA     NA        NA        NA     NA   NA        NA   NA
EO         NA     NA     NA        NA        NA     NA   NA        NA   NA
TO         NA     NA     NA        NA        NA     NA   NA        NA   NA
ADT        NA     NA     NA        NA        NA     NA   NA        NA   NA
            EEC4      EEF1      EEF2 EEF3 WTA1      WTA2      WTA3 WTA4 PA1 PA2
MCT_S1        NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
MCT_S2        NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
MCT_S3        NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
MCT_C1        NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
MCT_C2        NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
MCT_C3        NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
EEC1          NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
EEC2   0.8466417 0.8019509        NA   NA   NA        NA        NA   NA  NA  NA
EEC3          NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
EEC4   1.0000000        NA        NA   NA   NA        NA        NA   NA  NA  NA
EEF1          NA 1.0000000 0.8516352   NA   NA        NA        NA   NA  NA  NA
EEF2          NA 0.8516352 1.0000000   NA   NA        NA        NA   NA  NA  NA
EEF3          NA        NA        NA    1   NA        NA        NA   NA  NA  NA
WTA1          NA        NA        NA   NA    1        NA        NA   NA  NA  NA
WTA2          NA        NA        NA   NA   NA 1.0000000 0.8191588   NA  NA  NA
WTA3          NA        NA        NA   NA   NA 0.8191588 1.0000000   NA  NA  NA
WTA4          NA        NA        NA   NA   NA        NA        NA    1  NA  NA
PA1           NA        NA        NA   NA   NA        NA        NA   NA   1  NA
PA2           NA        NA        NA   NA   NA        NA        NA   NA  NA   1
PA3           NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
PSP           NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
EO            NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
TO            NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
ADT           NA        NA        NA   NA   NA        NA        NA   NA  NA  NA
       PA3 PSP EO TO ADT
MCT_S1  NA  NA NA NA  NA
MCT_S2  NA  NA NA NA  NA
MCT_S3  NA  NA NA NA  NA
MCT_C1  NA  NA NA NA  NA
MCT_C2  NA  NA NA NA  NA
MCT_C3  NA  NA NA NA  NA
EEC1    NA  NA NA NA  NA
EEC2    NA  NA NA NA  NA
EEC3    NA  NA NA NA  NA
EEC4    NA  NA NA NA  NA
EEF1    NA  NA NA NA  NA
EEF2    NA  NA NA NA  NA
EEF3    NA  NA NA NA  NA
WTA1    NA  NA NA NA  NA
WTA2    NA  NA NA NA  NA
WTA3    NA  NA NA NA  NA
WTA4    NA  NA NA NA  NA
PA1     NA  NA NA NA  NA
PA2     NA  NA NA NA  NA
PA3      1  NA NA NA  NA
PSP     NA   1 NA NA  NA
EO      NA  NA  1 NA  NA
TO      NA  NA NA  1  NA
ADT     NA  NA NA NA   1

Correlation matrix

           MCT_S1       MCT_S2      MCT_S3      MCT_C1      MCT_C2      MCT_C3
MCT_S1  1.0000000  0.412565005  0.65411248 -0.44105593 -0.46633623 -0.30578255
MCT_S2  0.4125650  1.000000000  0.31310328 -0.39868805 -0.48151367 -0.10840516
MCT_S3  0.6541125  0.313103280  1.00000000 -0.54931881 -0.47530898 -0.43284280
MCT_C1 -0.4410559 -0.398688052 -0.54931881  1.00000000  0.80599252  0.60076788
MCT_C2 -0.4663362 -0.481513666 -0.47530898  0.80599252  1.00000000  0.67674282
MCT_C3 -0.3057825 -0.108405158 -0.43284280  0.60076788  0.67674282  1.00000000
EEC1    0.1464574  0.040071659  0.14747249 -0.45840365 -0.45925597 -0.42394843
EEC2    0.4640432  0.215995623  0.49086686 -0.48124708 -0.28256296 -0.10897078
EEC3    0.1419173 -0.005460396  0.19234221 -0.10901864 -0.01323826 -0.16702968
EEC4    0.5807767  0.273408669  0.57497363 -0.49026124 -0.31520420 -0.25153021
EEF1    0.4394309 -0.016319069  0.56493885 -0.37661854 -0.20141766 -0.26099869
EEF2    0.6089497  0.068526107  0.62729888 -0.40022098 -0.25586671 -0.24475352
EEF3    0.4583161  0.019500366  0.62026004 -0.27358419 -0.21059740 -0.24443149
WTA1    0.3339490  0.352281750  0.55291606 -0.39690872 -0.37888136 -0.34024885
WTA2    0.2947787 -0.007385405  0.53472309 -0.38485562 -0.32834098 -0.29507180
WTA3    0.4151581  0.191062586  0.66662483 -0.51147354 -0.31610176 -0.31045718
WTA4    0.2897008 -0.058917197  0.60611437 -0.32307480 -0.22180513 -0.33547001
PA1     0.0347494 -0.326995491  0.03856070  0.12532752  0.18051235  0.04498377
PA2    -0.3688931 -0.461344357 -0.32339970  0.56349912  0.43825254  0.36849483
PA3    -0.3921357 -0.268836617 -0.09230346  0.28657783  0.33858251  0.34322517
PSP    -0.1764823 -0.168746551 -0.16285178  0.06985137 -0.09578203  0.12547059
EO      0.0959061  0.036333021  0.23877408 -0.14508019 -0.27226673 -0.04178202
TO      0.1191336 -0.327210698 -0.10826000  0.08828204  0.32577289  0.05319873
ADT     0.5797546  0.126124400  0.50931224 -0.27512480 -0.05796175 -0.02098447
              EEC1        EEC2         EEC3       EEC4         EEF1        EEF2
MCT_S1  0.14645735  0.46404325  0.141917340  0.5807767  0.439430945  0.60894972
MCT_S2  0.04007166  0.21599562 -0.005460396  0.2734087 -0.016319069  0.06852611
MCT_S3  0.14747249  0.49086686  0.192342208  0.5749736  0.564938851  0.62729888
MCT_C1 -0.45840365 -0.48124708 -0.109018636 -0.4902612 -0.376618540 -0.40022098
MCT_C2 -0.45925597 -0.28256296 -0.013238262 -0.3152042 -0.201417661 -0.25586671
MCT_C3 -0.42394843 -0.10897078 -0.167029682 -0.2515302 -0.260998690 -0.24475352
EEC1    1.00000000  0.45588318  0.334939004  0.3175537  0.465951811  0.37194227
EEC2    0.45588318  1.00000000  0.621212783  0.8466417  0.801950892  0.72315917
EEC3    0.33493900  0.62121278  1.000000000  0.5228664  0.577358460  0.32483198
EEC4    0.31755367  0.84664170  0.522866375  1.0000000  0.795832788  0.74535599
EEF1    0.46595181  0.80195089  0.577358460  0.7958328  1.000000000  0.85163519
EEF2    0.37194227  0.72315917  0.324831982  0.7453560  0.851635188  1.00000000
EEF3    0.33737464  0.61328667  0.487936666  0.6438895  0.719641609  0.72194718
WTA1    0.29897204  0.61929737  0.418024324  0.6822355  0.577422449  0.58580162
WTA2    0.23231715  0.59092058  0.170494899  0.6410068  0.585961264  0.65969013
WTA3    0.25757627  0.73830658  0.351520116  0.7865471  0.678286321  0.70979045
WTA4    0.20035829  0.47379685  0.206129947  0.5257859  0.648996810  0.73363244
PA1    -0.30121151 -0.12034925 -0.134923937 -0.1883620 -0.001204591  0.04125946
PA2    -0.21749497 -0.21908187 -0.108839777 -0.2676651 -0.179027971 -0.35609267
PA3    -0.18639020 -0.13923975 -0.058793071 -0.2318841 -0.170844539 -0.34721552
PSP     0.17451400 -0.10114745 -0.289326818 -0.1221239 -0.112983597 -0.09947816
EO      0.05714503  0.20667491  0.190779364  0.2879263  0.325810130  0.18394937
TO     -0.06211186  0.04937105 -0.062268804  0.2235370  0.232935242  0.22135941
ADT     0.14350174  0.53426356  0.328398497  0.6202516  0.495555748  0.61477559
              EEF3        WTA1         WTA2        WTA3       WTA4          PA1
MCT_S1  0.45831611  0.33394903  0.294778658  0.41515808  0.2897008  0.034749405
MCT_S2  0.01950037  0.35228175 -0.007385405  0.19106259 -0.0589172 -0.326995491
MCT_S3  0.62026004  0.55291606  0.534723092  0.66662483  0.6061144  0.038560698
MCT_C1 -0.27358419 -0.39690872 -0.384855615 -0.51147354 -0.3230748  0.125327525
MCT_C2 -0.21059740 -0.37888136 -0.328340983 -0.31610176 -0.2218051  0.180512354
MCT_C3 -0.24443149 -0.34024885 -0.295071796 -0.31045718 -0.3354700  0.044983769
EEC1    0.33737464  0.29897204  0.232317146  0.25757627  0.2003583 -0.301211510
EEC2    0.61328667  0.61929737  0.590920582  0.73830658  0.4737968 -0.120349252
EEC3    0.48793667  0.41802432  0.170494899  0.35152012  0.2061299 -0.134923937
EEC4    0.64388951  0.68223554  0.641006820  0.78654711  0.5257859 -0.188362020
EEF1    0.71964161  0.57742245  0.585961264  0.67828632  0.6489968 -0.001204591
EEF2    0.72194718  0.58580162  0.659690127  0.70979045  0.7336324  0.041259456
EEF3    1.00000000  0.49972983  0.662982146  0.69605144  0.7081070  0.294720918
WTA1    0.49972983  1.00000000  0.472987545  0.61012602  0.4504248 -0.275593009
WTA2    0.66298215  0.47298754  1.000000000  0.81915884  0.6784022  0.041509523
WTA3    0.69605144  0.61012602  0.819158844  1.00000000  0.7617690 -0.044049835
WTA4    0.70810705  0.45042476  0.678402157  0.76176901  1.0000000  0.238370545
PA1     0.29472092 -0.27559301  0.041509523 -0.04404984  0.2383705  1.000000000
PA2    -0.26825264 -0.37819738 -0.252360280 -0.37477651 -0.2467656  0.218491854
PA3    -0.14277550 -0.26340224 -0.241740757 -0.25434540 -0.2743231  0.268503625
PSP     0.10438702 -0.06148813  0.056669537 -0.16929903 -0.1225146  0.230692258
EO      0.29894577  0.40072445  0.291889957  0.27246883  0.2906642 -0.130743593
TO     -0.02051047 -0.05398672 -0.092981914  0.08955951  0.2087379  0.028421464
ADT     0.46007825  0.46397425  0.285817047  0.43854867  0.3206780 -0.163516889
               PA2         PA3         PSP          EO          TO         ADT
MCT_S1 -0.36889313 -0.39213568 -0.17648234  0.09590610  0.11913358  0.57975465
MCT_S2 -0.46134436 -0.26883662 -0.16874655  0.03633302 -0.32721070  0.12612440
MCT_S3 -0.32339970 -0.09230346 -0.16285178  0.23877408 -0.10826000  0.50931224
MCT_C1  0.56349912  0.28657783  0.06985137 -0.14508019  0.08828204 -0.27512480
MCT_C2  0.43825254  0.33858251 -0.09578203 -0.27226673  0.32577289 -0.05796175
MCT_C3  0.36849483  0.34322517  0.12547059 -0.04178202  0.05319873 -0.02098447
EEC1   -0.21749497 -0.18639020  0.17451400  0.05714503 -0.06211186  0.14350174
EEC2   -0.21908187 -0.13923975 -0.10114745  0.20667491  0.04937105  0.53426356
EEC3   -0.10883978 -0.05879307 -0.28932682  0.19077936 -0.06226880  0.32839850
EEC4   -0.26766510 -0.23188406 -0.12212388  0.28792630  0.22353695  0.62025157
EEF1   -0.17902797 -0.17084454 -0.11298360  0.32581013  0.23293524  0.49555575
EEF2   -0.35609267 -0.34721552 -0.09947816  0.18394937  0.22135941  0.61477559
EEF3   -0.26825264 -0.14277550  0.10438702  0.29894577 -0.02051047  0.46007825
WTA1   -0.37819738 -0.26340224 -0.06148813  0.40072445 -0.05398672  0.46397425
WTA2   -0.25236028 -0.24174076  0.05666954  0.29188996 -0.09298191  0.28581705
WTA3   -0.37477651 -0.25434540 -0.16929903  0.27246883  0.08955951  0.43854867
WTA4   -0.24676559 -0.27432308 -0.12251462  0.29066417  0.20873786  0.32067800
PA1     0.21849185  0.26850362  0.23069226 -0.13074359  0.02842146 -0.16351689
PA2     1.00000000  0.77013614  0.33226697 -0.07140107  0.10611566 -0.31490728
PA3     0.77013614  1.00000000  0.36637165 -0.20968546 -0.14821472 -0.26119911
PSP     0.33226697  0.36637165  1.00000000  0.02637201 -0.07780272 -0.27074332
EO     -0.07140107 -0.20968546  0.02637201  1.00000000  0.07643007  0.29466812
TO      0.10611566 -0.14821472 -0.07780272  0.07643007  1.00000000  0.22164057
ADT    -0.31490728 -0.26119911 -0.27074332  0.29466812  0.22164057  1.00000000

SDT

1. Descriptive analysis

       vars  n mean   sd median trimmed  mad min max range  skew kurtosis   se
SDT_A1    1 22 4.55 1.47    5.0    4.72 1.48   1   6     5 -0.77    -0.53 0.31
SDT_A2    2 22 4.77 1.60    5.0    4.89 1.48   1   7     6 -0.64    -0.53 0.34
SDT_A3    3 22 4.59 1.62    5.0    4.72 1.48   1   7     6 -0.51    -0.98 0.35
SDT_C1    4 22 4.55 1.41    5.0    4.61 1.48   1   7     6 -0.48    -0.20 0.30
SDT_C2    5 22 4.86 1.28    5.0    5.00 1.48   2   7     5 -0.79     0.00 0.27
SDT_C3    6 22 4.55 1.30    4.5    4.56 0.74   2   7     5 -0.03    -0.25 0.28
SDT_R1    7 22 3.41 1.33    3.5    3.28 2.22   2   6     4  0.42    -1.05 0.28
SDT_R2    8 22 3.95 1.40    4.0    3.94 1.48   2   6     4 -0.32    -1.41 0.30
SDT_R3    9 22 4.00 1.60    4.5    4.06 2.22   1   6     5 -0.33    -1.39 0.34
EEC1     10 22 5.77 1.31    6.0    5.94 1.48   3   7     4 -0.82    -0.55 0.28
EEC2     11 22 5.59 1.10    6.0    5.67 1.48   3   7     4 -0.63    -0.47 0.23
EEC3     12 22 5.14 1.13    5.0    5.22 1.48   3   7     4 -0.64    -0.65 0.24
EEC4     13 22 5.32 1.21    6.0    5.39 1.48   3   7     4 -0.44    -0.97 0.26
EEF1     14 22 5.45 1.14    6.0    5.56 1.48   3   7     4 -0.71    -0.35 0.24
EEF2     15 22 5.18 1.14    5.5    5.28 0.74   3   7     4 -0.71    -0.65 0.24
EEF3     16 22 4.95 1.17    5.0    5.00 1.48   3   7     4 -0.42    -0.95 0.25
WTA1     17 22 4.32 1.96    5.0    4.39 2.22   1   7     6 -0.32    -1.33 0.42
WTA2     18 22 4.59 1.76    5.0    4.78 1.48   1   7     6 -0.79    -0.68 0.38
WTA3     19 22 4.82 1.30    5.0    4.89 1.48   2   7     5 -0.43    -0.84 0.28
WTA4     20 22 5.55 1.47    6.0    5.72 1.48   2   7     5 -0.77    -0.53 0.31
PA1      21 22 4.86 1.52    5.0    5.00 1.48   2   7     5 -0.79    -0.77 0.32
PA2      22 22 4.14 1.52    4.0    4.17 1.48   1   7     6 -0.14    -0.85 0.32
PA3      23 22 5.50 1.22    5.5    5.61 0.74   2   7     5 -0.82     0.77 0.26
PSP      24 22 2.55 0.60    2.5    2.50 0.74   2   4     2  0.48    -0.88 0.13
EO       25 22 5.45 1.57    6.0    5.61 1.48   2   7     5 -0.60    -0.92 0.33
TO       26 22 4.09 1.48    4.0    4.11 1.48   2   6     4 -0.06    -1.54 0.31
ADT      27 22 5.27 0.98    5.0    5.22 1.48   4   7     3  0.33    -1.00 0.21

Error in solve.default(r) : 
  system is computationally singular: reciprocal condition number = 1.04841e-18

matrix is not invertible, image not found

Kaiser-Meyer-Olkin factor adequacy
Call: KMO(r = data_efa_sdt)
Overall MSA =  0.5
MSA for each item = 
SDT_A1 SDT_A2 SDT_A3 SDT_C1 SDT_C2 SDT_C3 SDT_R1 SDT_R2 SDT_R3   EEC1   EEC2 
   0.5    0.5    0.5    0.5    0.5    0.5    0.5    0.5    0.5    0.5    0.5 
  EEC3   EEC4   EEF1   EEF2   EEF3   WTA1   WTA2   WTA3   WTA4    PA1    PA2 
   0.5    0.5    0.5    0.5    0.5    0.5    0.5    0.5    0.5    0.5    0.5 
   PA3    PSP     EO     TO    ADT 
   0.5    0.5    0.5    0.5    0.5 

       vars  n mean   sd median trimmed  mad min max range  skew kurtosis   se
SDT_A1    1 22 4.55 1.47    5.0    4.72 1.48   1   6     5 -0.77    -0.53 0.31
SDT_A2    2 22 4.77 1.60    5.0    4.89 1.48   1   7     6 -0.64    -0.53 0.34
SDT_A3    3 22 4.59 1.62    5.0    4.72 1.48   1   7     6 -0.51    -0.98 0.35
SDT_C1    4 22 4.55 1.41    5.0    4.61 1.48   1   7     6 -0.48    -0.20 0.30
SDT_C2    5 22 4.86 1.28    5.0    5.00 1.48   2   7     5 -0.79     0.00 0.27
SDT_C3    6 22 4.55 1.30    4.5    4.56 0.74   2   7     5 -0.03    -0.25 0.28
SDT_R1    7 22 3.41 1.33    3.5    3.28 2.22   2   6     4  0.42    -1.05 0.28
SDT_R2    8 22 3.95 1.40    4.0    3.94 1.48   2   6     4 -0.32    -1.41 0.30
SDT_R3    9 22 4.00 1.60    4.5    4.06 2.22   1   6     5 -0.33    -1.39 0.34
EEC1     10 22 5.77 1.31    6.0    5.94 1.48   3   7     4 -0.82    -0.55 0.28
EEC2     11 22 5.59 1.10    6.0    5.67 1.48   3   7     4 -0.63    -0.47 0.23
EEC3     12 22 5.14 1.13    5.0    5.22 1.48   3   7     4 -0.64    -0.65 0.24
EEF1     13 22 5.45 1.14    6.0    5.56 1.48   3   7     4 -0.71    -0.35 0.24
EEF2     14 22 5.18 1.14    5.5    5.28 0.74   3   7     4 -0.71    -0.65 0.24
EEF3     15 22 4.95 1.17    5.0    5.00 1.48   3   7     4 -0.42    -0.95 0.25
WTA1     16 22 4.32 1.96    5.0    4.39 2.22   1   7     6 -0.32    -1.33 0.42
WTA2     17 22 4.59 1.76    5.0    4.78 1.48   1   7     6 -0.79    -0.68 0.38
WTA3     18 22 4.82 1.30    5.0    4.89 1.48   2   7     5 -0.43    -0.84 0.28
WTA4     19 22 5.55 1.47    6.0    5.72 1.48   2   7     5 -0.77    -0.53 0.31

Kaiser-Meyer-Olkin factor adequacy
Call: KMO(r = data_efa_sdt)
Overall MSA =  0.48
MSA for each item = 
SDT_A1 SDT_A2 SDT_A3 SDT_C1 SDT_C2 SDT_C3 SDT_R1 SDT_R2 SDT_R3   EEC1   EEC2 
  0.39   0.42   0.39   0.49   0.59   0.54   0.52   0.39   0.52   0.60   0.76 
  EEC3   EEF1   EEF2   EEF3   WTA1   WTA2   WTA3   WTA4 
  0.41   0.46   0.39   0.40   0.53   0.40   0.52   0.50 

2. CFA

model_cfa<-'
  # Measurement model
  EEC =~ EEC1 + EEC2 + EEC3
  EEF =~ EEF1 + EEF2 + EEF3
  WTA =~ WTA1 + WTA2 + WTA3 + WTA4
  PA =~ PA1 + PA2 + PA3
  SDT =~ SDT_A1 + SDT_A2 + SDT_A3 + SDT_C1 + SDT_C2 + SDT_C3 + SDT_R1 + SDT_R2 + SDT_R3
  PerceivedS =~ PSP
  Environ =~ EO
  TechScie =~ TO
  AttiT =~ ADT'

fit_cfa <- cfa(model_cfa, data = data_efa_sdt, estimator = "MLR")

summary(fit_cfa, ci = TRUE, fit.measures=TRUE, rsquare=TRUE,standardized=TRUE)
lavaanPlot(model = fit_cfa, node_options = list(shape = "box", fontname = "Helvetica"), edge_options = list(color = "grey"),
           coefs = T, stand=T)
#Construct Reliability
semTools::compRelSEM(fit_cfa, tau.eq=T, obs.var=T) #Cronbach Alpha
semTools::compRelSEM(fit_cfa, tau.eq=F, obs.var=T) #Omega
AVE(fit_cfa, obs.var = TRUE, omit.imps = c("no.conv", "no.se"),
    omit.factors = character(0), dropSingle = TRUE, return.df = TRUE)
#Standardized residuals
lavResiduals(fit_cfa, type = "cor.bentler", custom.rmr = NULL,
             se = FALSE, zstat = TRUE, summary = TRUE, h1.acov = "unstructured",
             add.type = TRUE, add.labels = TRUE, add.class = TRUE,
             drop.list.single.group = TRUE,
             maximum.number = length(res.vech), output = "list")

3. Correlation Analysis

Barlett test

$chisq
[1] 400.5404

$p.value
[1] 1.824961e-20

$df
[1] 171

Correlation matrix

            SDT_A1      SDT_A2      SDT_A3      SDT_C1    SDT_C2      SDT_C3
SDT_A1  1.00000000  0.60078430  0.81582540  0.65550637 0.5204314  0.75862561
SDT_A2  0.60078430  1.00000000  0.76859444  0.69258950 0.4012116  0.49718890
SDT_A3  0.81582540  0.76859444  1.00000000  0.77074962 0.5891765  0.53987492
SDT_C1  0.65550637  0.69258950  0.77074962  1.00000000 0.6241854  0.71613058
SDT_C2  0.52043144  0.40121159  0.58917653  0.62418539 1.0000000  0.61782762
SDT_C3  0.75862561  0.49718890  0.53987492  0.71613058 0.6178276  1.00000000
SDT_R1  0.29356891  0.24636302  0.41117335  0.35825536 0.5908170  0.08497478
SDT_R2  0.47618536  0.27194730  0.41159452  0.45009102 0.3949054  0.30298702
SDT_R3  0.02018434 -0.07416778  0.01829655 -0.04227144 0.3007914 -0.18283408
EEC1    0.24092134  0.17891569  0.29084464  0.40788730 0.7188270  0.35692110
EEC2    0.32157601  0.26956118  0.35587275  0.42933511 0.8033074  0.43086721
EEC3   -0.13335897 -0.06125380 -0.04622122 -0.07940588 0.1453789 -0.18356778
EEF1    0.15697893  0.03309637  0.02799287  0.19402005 0.4336472  0.37005642
EEF2    0.02323790  0.10199142  0.04212904  0.08381440 0.3107788  0.12278812
EEF3   -0.12278812  0.07021032 -0.08518169 -0.01311997 0.2168777 -0.04539761
WTA1    0.43209453  0.37281586  0.44676214  0.45246121 0.4531840  0.37713076
WTA2    0.32867588  0.16782496  0.25483333  0.28651545 0.1214459  0.24747174
WTA3    0.32920554  0.32327466  0.32517035  0.31857120 0.4710699  0.34447415
WTA4    0.31800000  0.41889547  0.25743824  0.26387796 0.3691166  0.33515400
           SDT_R1     SDT_R2      SDT_R3       EEC1      EEC2        EEC3
SDT_A1 0.29356891 0.47618536  0.02018434 0.24092134 0.3215760 -0.13335897
SDT_A2 0.24636302 0.27194730 -0.07416778 0.17891569 0.2695612 -0.06125380
SDT_A3 0.41117335 0.41159452  0.01829655 0.29084464 0.3558727 -0.04622122
SDT_C1 0.35825536 0.45009102 -0.04227144 0.40788730 0.4293351 -0.07940588
SDT_C2 0.59081699 0.39490536  0.30079145 0.71882697 0.8033074  0.14537893
SDT_C3 0.08497478 0.30298702 -0.18283408 0.35692110 0.4308672 -0.18356778
SDT_R1 1.00000000 0.75226405  0.77967018 0.60260351 0.4776429  0.50070273
SDT_R2 0.75226405 1.00000000  0.70172347 0.54201999 0.3599566  0.42837100
SDT_R3 0.77967018 0.70172347  1.00000000 0.47719431 0.4056749  0.73891513
EEC1   0.60260351 0.54201999  0.47719431 1.00000000 0.8613309  0.41066507
EEC2   0.47764292 0.35995664  0.40567489 0.86133086 1.0000000  0.43270451
EEC3   0.50070273 0.42837100  0.73891513 0.41066507 0.4327045  1.00000000
EEF1   0.15336763 0.04337796  0.05194288 0.64606749 0.6482489  0.20860527
EEF2   0.13678045 0.09520506  0.18240506 0.50869084 0.5950524  0.42535053
EEF3   0.19497450 0.02771961  0.32876691 0.39636756 0.5388994  0.58154149
WTA1   0.49426407 0.54451909  0.46938849 0.41973402 0.4392483  0.41095321
WTA2   0.31762826 0.26277280  0.18521611 0.01972207 0.1061861  0.26939569
WTA3   0.34829108 0.33725302  0.38952248 0.42429579 0.5141126  0.34433343
WTA4   0.26928877 0.29076805  0.32294937 0.53813271 0.6163540  0.44191502
             EEF1       EEF2        EEF3      WTA1       WTA2      WTA3
SDT_A1 0.15697893 0.02323790 -0.12278812 0.4320945 0.32867588 0.3292055
SDT_A2 0.03309637 0.10199142  0.07021032 0.3728159 0.16782496 0.3232747
SDT_A3 0.02799287 0.04212904 -0.08518169 0.4467621 0.25483333 0.3251703
SDT_C1 0.19402005 0.08381440 -0.01311997 0.4524612 0.28651545 0.3185712
SDT_C2 0.43364719 0.31077877  0.21687770 0.4531840 0.12144594 0.4710699
SDT_C3 0.37005642 0.12278812 -0.04539761 0.3771308 0.24747174 0.3444741
SDT_R1 0.15336763 0.13678045  0.19497450 0.4942641 0.31762826 0.3482911
SDT_R2 0.04337796 0.09520506  0.02771961 0.5445191 0.26277280 0.3372530
SDT_R3 0.05194288 0.18240506  0.32876691 0.4693885 0.18521611 0.3895225
EEC1   0.64606749 0.50869084  0.39636756 0.4197340 0.01972207 0.4242958
EEC2   0.64824888 0.59505241  0.53889942 0.4392483 0.10618609 0.5141126
EEC3   0.20860527 0.42535053  0.58154149 0.4109532 0.26939569 0.3443334
EEF1   1.00000000 0.73754560  0.61907468 0.2084930 0.07298978 0.2190998
EEF2   0.73754560 1.00000000  0.89611640 0.2498621 0.08615609 0.4425888
EEF3   0.61907468 0.89611640  1.00000000 0.3374279 0.24353300 0.4636786
WTA1   0.20849304 0.24986209  0.33742792 1.0000000 0.67272314 0.5858870
WTA2   0.07298978 0.08615609  0.24353300 0.6727231 1.00000000 0.4034134
WTA3   0.21909977 0.44258884  0.46367857 0.5858870 0.40341343 1.0000000
WTA4   0.49667104 0.61967734  0.62145825 0.5311162 0.31032342 0.8286898
            WTA4
SDT_A1 0.3180000
SDT_A2 0.4188955
SDT_A3 0.2574382
SDT_C1 0.2638780
SDT_C2 0.3691166
SDT_C3 0.3351540
SDT_R1 0.2692888
SDT_R2 0.2907681
SDT_R3 0.3229494
EEC1   0.5381327
EEC2   0.6163540
EEC3   0.4419150
EEF1   0.4966710
EEF2   0.6196773
EEF3   0.6214583
WTA1   0.5311162
WTA2   0.3103234
WTA3   0.8286898
WTA4   1.0000000

          SDT_A1 SDT_A2    SDT_A3 SDT_C1    SDT_C2 SDT_C3 SDT_R1 SDT_R2 SDT_R3
SDT_A1 1.0000000     NA 0.8158254     NA        NA     NA     NA     NA     NA
SDT_A2        NA      1        NA     NA        NA     NA     NA     NA     NA
SDT_A3 0.8158254     NA 1.0000000     NA        NA     NA     NA     NA     NA
SDT_C1        NA     NA        NA      1        NA     NA     NA     NA     NA
SDT_C2        NA     NA        NA     NA 1.0000000     NA     NA     NA     NA
SDT_C3        NA     NA        NA     NA        NA      1     NA     NA     NA
SDT_R1        NA     NA        NA     NA        NA     NA      1     NA     NA
SDT_R2        NA     NA        NA     NA        NA     NA     NA      1     NA
SDT_R3        NA     NA        NA     NA        NA     NA     NA     NA      1
EEC1          NA     NA        NA     NA        NA     NA     NA     NA     NA
EEC2          NA     NA        NA     NA 0.8033074     NA     NA     NA     NA
EEC3          NA     NA        NA     NA        NA     NA     NA     NA     NA
EEF1          NA     NA        NA     NA        NA     NA     NA     NA     NA
EEF2          NA     NA        NA     NA        NA     NA     NA     NA     NA
EEF3          NA     NA        NA     NA        NA     NA     NA     NA     NA
WTA1          NA     NA        NA     NA        NA     NA     NA     NA     NA
WTA2          NA     NA        NA     NA        NA     NA     NA     NA     NA
WTA3          NA     NA        NA     NA        NA     NA     NA     NA     NA
WTA4          NA     NA        NA     NA        NA     NA     NA     NA     NA
            EEC1      EEC2 EEC3 EEF1      EEF2      EEF3 WTA1 WTA2      WTA3
SDT_A1        NA        NA   NA   NA        NA        NA   NA   NA        NA
SDT_A2        NA        NA   NA   NA        NA        NA   NA   NA        NA
SDT_A3        NA        NA   NA   NA        NA        NA   NA   NA        NA
SDT_C1        NA        NA   NA   NA        NA        NA   NA   NA        NA
SDT_C2        NA 0.8033074   NA   NA        NA        NA   NA   NA        NA
SDT_C3        NA        NA   NA   NA        NA        NA   NA   NA        NA
SDT_R1        NA        NA   NA   NA        NA        NA   NA   NA        NA
SDT_R2        NA        NA   NA   NA        NA        NA   NA   NA        NA
SDT_R3        NA        NA   NA   NA        NA        NA   NA   NA        NA
EEC1   1.0000000 0.8613309   NA   NA        NA        NA   NA   NA        NA
EEC2   0.8613309 1.0000000   NA   NA        NA        NA   NA   NA        NA
EEC3          NA        NA    1   NA        NA        NA   NA   NA        NA
EEF1          NA        NA   NA    1        NA        NA   NA   NA        NA
EEF2          NA        NA   NA   NA 1.0000000 0.8961164   NA   NA        NA
EEF3          NA        NA   NA   NA 0.8961164 1.0000000   NA   NA        NA
WTA1          NA        NA   NA   NA        NA        NA    1   NA        NA
WTA2          NA        NA   NA   NA        NA        NA   NA    1        NA
WTA3          NA        NA   NA   NA        NA        NA   NA   NA 1.0000000
WTA4          NA        NA   NA   NA        NA        NA   NA   NA 0.8286898
            WTA4
SDT_A1        NA
SDT_A2        NA
SDT_A3        NA
SDT_C1        NA
SDT_C2        NA
SDT_C3        NA
SDT_R1        NA
SDT_R2        NA
SDT_R3        NA
EEC1          NA
EEC2          NA
EEC3          NA
EEF1          NA
EEF2          NA
EEF3          NA
WTA1          NA
WTA2          NA
WTA3   0.8286898
WTA4   1.0000000

Model analysis (original data, N=60)

Independent and moderation

Factor 1 (EEF and EEC)

                               Df Sum Sq Mean Sq F value Pr(>F)  
cond.transparency               1   1.41   1.407   1.001 0.3220  
cond.trustee                    1   7.48   7.483   5.321 0.0253 *
cond.transparency:cond.trustee  1   0.03   0.027   0.019 0.8909  
Residuals                      50  70.32   1.406                 
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

    Shapiro-Wilk normality test

data:  residuals(anova_result_factor1)
W = 0.91461, p-value = 0.0009396

Levene's Test for Homogeneity of Variance (center = median)
      Df F value Pr(>F)
group  3  1.1993 0.3196
      50               

  Tukey multiple comparisons of means
    95% family-wise confidence level

Fit: aov(formula = DV_composite_factor1 ~ cond.transparency * cond.trustee, data = data_short_good_participants2)

$cond.transparency
              diff        lwr      upr     p adj
Low-High 0.3230769 -0.3256472 0.971801 0.3219816

$cond.trustee
                         diff       lwr         upr     p adj
Government-Company -0.7465464 -1.396611 -0.09648151 0.0252547

$`cond.transparency:cond.trustee`
                                     diff        lwr       upr     p adj
Low:Company-High:Company        0.2838095 -0.8873633 1.4549823 0.9171416
High:Government-High:Company   -0.7928571 -2.0326915 0.4469772 0.3347431
Low:Government-High:Company    -0.4197802 -1.6336660 0.7941056 0.7948087
High:Government-Low:Company    -1.0766667 -2.2972776 0.1439443 0.1017248
Low:Government-Low:Company     -0.7035897 -1.8978345 0.4906550 0.4071514
Low:Government-High:Government  0.3730769 -0.8885744 1.6347282 0.8605189

Factor 2 (WTA)

                               Df Sum Sq Mean Sq F value Pr(>F)  
cond.transparency               1   5.62   5.619   2.924 0.0935 .
cond.trustee                    1   0.15   0.153   0.079 0.7793  
cond.transparency:cond.trustee  1   0.04   0.036   0.019 0.8910  
Residuals                      50  96.08   1.922                 
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

    Shapiro-Wilk normality test

data:  residuals(anova_result_factor2)
W = 0.96156, p-value = 0.08095

Levene's Test for Homogeneity of Variance (center = median)
      Df F value Pr(>F)
group  3  0.7763 0.5128
      50               

  Tukey multiple comparisons of means
    95% family-wise confidence level

Fit: aov(formula = DV_composite_factor2 ~ cond.transparency * cond.trustee, data = data_short_good_participants2)

$cond.transparency
              diff        lwr    upr     p adj
Low-High 0.6456044 -0.1126909 1.4039 0.0934533

$cond.trustee
                         diff        lwr      upr     p adj
Government-Company -0.1066086 -0.8664712 0.653254 0.7792596

$`cond.transparency:cond.trustee`
                                      diff        lwr       upr     p adj
Low:Company-High:Company        0.59761905 -0.7713680 1.9666061 0.6544191
High:Government-High:Company   -0.16071429 -1.6099600 1.2885314 0.9909841
Low:Government-High:Company     0.54120879 -0.8777055 1.9601231 0.7422330
High:Government-Low:Company    -0.75833333 -2.1851087 0.6684421 0.4976458
Low:Government-Low:Company     -0.05641026 -1.4523661 1.3395456 0.9995506
Low:Government-High:Government  0.70192308 -0.7728245 2.1766706 0.5891953

Non-parametric Test

# Factor 1
kruskal.test(DV_composite_factor1 ~ cond.transparency, data = data_short_good_participants2)

    Kruskal-Wallis rank sum test

data:  DV_composite_factor1 by cond.transparency
Kruskal-Wallis chi-squared = 0.96192, df = 1, p-value = 0.3267

# Factor 2
kruskal.test(DV_composite_factor2 ~ cond.transparency, data = data_short_good_participants2)

    Kruskal-Wallis rank sum test

data:  DV_composite_factor2 by cond.transparency
Kruskal-Wallis chi-squared = 2.7766, df = 1, p-value = 0.09565

Mediation analysis (N=52)

MCT

Factor 1 (EEF and EEC)

Causal Mediation Analysis 

Quasi-Bayesian Confidence Intervals

               Estimate 95% CI Lower 95% CI Upper p-value
ACME             0.0718      -0.1979         0.45    0.68
ADE             -0.5809      -1.5236         0.32    0.20
Total Effect    -0.5092      -1.4926         0.44    0.29
Prop. Mediated  -0.0202      -3.2890         3.88    0.87

Sample Size Used: 30 


Simulations: 1000 

Factor 2 (WTA)

Causal Mediation Analysis 

Quasi-Bayesian Confidence Intervals

               Estimate 95% CI Lower 95% CI Upper p-value
ACME           -0.00571     -0.35314         0.36    0.99
ADE            -0.55347     -1.59513         0.44    0.30
Total Effect   -0.55918     -1.62833         0.50    0.31
Prop. Mediated  0.00907     -1.65166         1.37    0.91

Sample Size Used: 30 


Simulations: 1000 

SDT

Factor 1 (EEF and EEC)

Causal Mediation Analysis 

Quasi-Bayesian Confidence Intervals

               Estimate 95% CI Lower 95% CI Upper p-value
ACME            -0.0161      -0.4951         0.46    0.90
ADE             -0.3289      -1.2032         0.53    0.43
Total Effect    -0.3450      -1.3977         0.59    0.45
Prop. Mediated   0.0477      -4.1001         1.58    0.80

Sample Size Used: 22 


Simulations: 1000 

Factor 2 (WTA)

Causal Mediation Analysis 

Quasi-Bayesian Confidence Intervals

               Estimate 95% CI Lower 95% CI Upper p-value    
ACME            -0.0654      -0.8154         0.67    0.86    
ADE             -1.1368      -1.9576        -0.31  <2e-16 ***
Total Effect    -1.2022      -2.3356        -0.17    0.02 *  
Prop. Mediated   0.0625      -1.7269         0.55    0.84    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Sample Size Used: 22 


Simulations: 1000