Financial transactions pre-test

This is lavaan 0.6-19
lavaan is FREE software! Please report any bugs.

Attaching package: 'psych'

The following object is masked from 'package:lavaan':

    cor2cov

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Attaching package: 'ggplot2'

The following objects are masked from 'package:psych':

    %+%, alpha

###############################################################################

This is semTools 0.5-7

All users of R (or SEM) are invited to submit functions or ideas for functions.

###############################################################################

Attaching package: 'semTools'

The following objects are masked from 'package:psych':

    reliability, skew

Attaching package: 'pastecs'

The following objects are masked from 'package:dplyr':

    first, last

corrplot 0.95 loaded

Attaching package: 'tidyr'

The following object is masked from 'package:pastecs':

    extract

Descriptive data

1. Enjoyment

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

2. Age

3. Employment status

4. 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

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

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 (as-is)

Scales

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. Factor analysis

Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 

Factor Analysis using method =  minres
Call: fa(r = data_efa_1, nfactors = 2, rotate = "varimax")
Unstandardized loadings (pattern matrix) based upon covariance matrix
      MR1   MR2   h2   u2   H2   U2
EEC1 0.60    NA   NA 0.65   NA   NA
EEC2 0.87    NA   NA 0.23   NA   NA
EEC3 0.59    NA   NA 0.63   NA   NA
EEC4 0.84    NA   NA 0.28   NA   NA
EEF1 0.88    NA   NA 0.22   NA   NA
EEF2 0.82    NA   NA 0.29   NA   NA
EEF3 0.76    NA   NA 0.40   NA   NA
WTA1 0.63    NA   NA 0.56   NA   NA
WTA2 0.56    NA   NA 0.63   NA   NA
WTA3 0.69  0.41 0.64 0.36 0.64 0.36
WTA4 0.63    NA   NA 0.49   NA   NA
PA1    NA    NA   NA 0.86   NA   NA
PA2    NA -0.81   NA 0.33   NA   NA
PA3    NA -0.76   NA 0.41   NA   NA
PSP    NA -0.43   NA 0.81   NA   NA
EO   0.51    NA   NA 0.74   NA   NA
TO     NA    NA   NA 0.94   NA   NA
ADT  0.42  0.48 0.41 0.59 0.41 0.59

                      MR1 MR2
SS loadings            NA  NA
Proportion Var         NA  NA
Cumulative Var         NA  NA
Proportion Explained   NA  NA
Cumulative Proportion  NA  NA

 Standardized loadings (pattern matrix)
     item  MR1  MR2   h2   u2
EEC1    1   NA   NA   NA   NA
EEC2    2   NA   NA   NA   NA
EEC3    3   NA   NA   NA   NA
EEC4    4   NA   NA   NA   NA
EEF1    5   NA   NA   NA   NA
EEF2    6   NA   NA   NA   NA
EEF3    7   NA   NA   NA   NA
WTA1    8   NA   NA   NA   NA
WTA2    9   NA   NA   NA   NA
WTA3   10 0.69 0.41 0.64 0.36
WTA4   11   NA   NA   NA   NA
PA1    12   NA   NA   NA   NA
PA2    13   NA   NA   NA   NA
PA3    14   NA   NA   NA   NA
PSP    15   NA   NA   NA   NA
EO     16   NA   NA   NA   NA
TO     17   NA   NA   NA   NA
ADT    18 0.42 0.48 0.41 0.59

                MR1 MR2
SS loadings      NA  NA
Proportion Var   NA  NA
Cumulative Var   NA  NA
Cum. factor Var  NA  NA

Mean item complexity =  1.2
Test of the hypothesis that 2 factors are sufficient.

df null model =  153  with the objective function =  12.54 with Chi Square =  654.07
df of  the model are 118  and the objective function was  3.76 

The root mean square of the residuals (RMSR) is  0.07 
The df corrected root mean square of the residuals is  0.08 

The harmonic n.obs is  60 with the empirical chi square  97.83  with prob <  0.91 
The total n.obs was  60  with Likelihood Chi Square =  190.94  with prob <  2.5e-05 

Tucker Lewis Index of factoring reliability =  0.805
RMSEA index =  0.1  and the 90 % confidence intervals are  0.075 0.128
BIC =  -292.2
Fit based upon off diagonal values = 0.97
Measures of factor score adequacy             
                                                   MR1  MR2
Correlation of (regression) scores with factors   0.97 0.91
Multiple R square of scores with factors          0.94 0.83
Minimum correlation of possible factor scores     0.88 0.66

2.Measurement model

model1<-'
  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'
fit1<-cfa(model1,data = data_short, 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 (= 8.044271e-15) 
   is close to zero. This may be a symptom that the model is not identified.

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

lavaan 0.6-19 ended normally after 70 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        60

  Number of observations                            60

Model Test User Model:
                                              Standard      Scaled
  Test Statistic                               151.281     158.211
  Degrees of freedom                               111         111
  P-value (Chi-square)                           0.007       0.002
  Scaling correction factor                                  0.956
    Yuan-Bentler correction (Mplus variant)                       

Model Test Baseline Model:

  Test statistic                               752.281     714.007
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.054

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.933       0.916
  Tucker-Lewis Index (TLI)                       0.907       0.884
                                                                  
  Robust Comparative Fit Index (CFI)                         0.924
  Robust Tucker-Lewis Index (TLI)                            0.895

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -1601.046   -1601.046
  Scaling correction factor                                  1.266
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -1525.405   -1525.405
  Scaling correction factor                                  1.065
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                3322.091    3322.091
  Bayesian (BIC)                              3447.752    3447.752
  Sample-size adjusted Bayesian (SABIC)       3259.036    3259.036

Root Mean Square Error of Approximation:

  RMSEA                                          0.078       0.084
  90 Percent confidence interval - lower         0.043       0.051
  90 Percent confidence interval - upper         0.107       0.113
  P-value H_0: RMSEA <= 0.050                    0.087       0.046
  P-value H_0: RMSEA >= 0.080                    0.469       0.605
                                                                  
  Robust RMSEA                                               0.082
  90 Percent confidence interval - lower                     0.051
  90 Percent confidence interval - upper                     0.110
  P-value H_0: Robust RMSEA <= 0.050                         0.047
  P-value H_0: Robust RMSEA >= 0.080                         0.568

Standardized Root Mean Square Residual:

  SRMR                                           0.063       0.063

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              1.408    0.328    4.287    0.000    0.764    2.051
    EEC3              0.952    0.221    4.314    0.000    0.520    1.385
    EEC4              1.293    0.384    3.369    0.001    0.541    2.045
  EEF =~                                                                
    EEF1              1.000                               1.000    1.000
    EEF2              1.030    0.097   10.583    0.000    0.839    1.221
    EEF3              0.942    0.105    8.965    0.000    0.736    1.148
  WTA =~                                                                
    WTA1              1.000                               1.000    1.000
    WTA2              1.056    0.172    6.152    0.000    0.720    1.393
    WTA3              1.190    0.204    5.817    0.000    0.789    1.590
    WTA4              0.977    0.188    5.198    0.000    0.609    1.345
  PA =~                                                                 
    PA1               1.000                               1.000    1.000
    PA2               2.354    1.337    1.761    0.078   -0.267    4.975
    PA3               1.997    0.897    2.226    0.026    0.239    3.755
  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
                  
    0.865    0.626
    1.218    0.939
    0.824    0.638
    1.119    0.880
                  
    1.224    0.897
    1.261    0.903
    1.153    0.799
                  
    1.253    0.663
    1.323    0.720
    1.490    0.959
    1.224    0.847
                  
    0.610    0.361
    1.436    0.905
    1.218    0.812
                  
    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               0.944    0.408    2.315    0.021    0.145    1.743
    WTA               0.730    0.355    2.053    0.040    0.033    1.426
    PA               -0.128    0.125   -1.024    0.306   -0.372    0.117
    PerceivedS       -0.100    0.135   -0.737    0.461   -0.365    0.166
    Env               0.549    0.210    2.610    0.009    0.137    0.962
    Tech              0.091    0.140    0.650    0.516   -0.184    0.366
    Attitude          0.555    0.253    2.192    0.028    0.059    1.050
  EEF ~~                                                                
    WTA               1.052    0.368    2.855    0.004    0.330    1.774
    PA               -0.220    0.144   -1.528    0.127   -0.502    0.062
    PerceivedS       -0.153    0.189   -0.808    0.419   -0.523    0.218
    Env               0.728    0.223    3.261    0.001    0.290    1.165
    Tech              0.124    0.192    0.648    0.517   -0.252    0.501
    Attitude          0.751    0.283    2.655    0.008    0.197    1.306
  WTA ~~                                                                
    PA               -0.310    0.194   -1.598    0.110   -0.691    0.070
    PerceivedS       -0.260    0.195   -1.333    0.183   -0.643    0.123
    Env               0.543    0.275    1.972    0.049    0.003    1.082
    Tech              0.276    0.215    1.287    0.198   -0.144    0.697
    Attitude          0.739    0.339    2.182    0.029    0.075    1.403
  PA ~~                                                                 
    PerceivedS        0.168    0.109    1.536    0.125   -0.046    0.383
    Env              -0.074    0.119   -0.624    0.533   -0.308    0.160
    Tech             -0.154    0.195   -0.789    0.430   -0.537    0.229
    Attitude         -0.391    0.263   -1.488    0.137   -0.906    0.124
  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
                  
    0.891    0.891
    0.673    0.673
   -0.242   -0.242
   -0.148   -0.148
    0.502    0.502
    0.074    0.074
    0.487    0.487
                  
    0.686    0.686
   -0.295   -0.295
   -0.160   -0.160
    0.471    0.471
    0.071    0.071
    0.467    0.467
                  
   -0.406   -0.406
   -0.266   -0.266
    0.343    0.343
    0.155    0.155
    0.449    0.449
                  
    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              1.163    0.423    2.749    0.006    0.334    1.993
   .EEC2              0.200    0.098    2.042    0.041    0.008    0.391
   .EEC3              0.990    0.219    4.522    0.000    0.561    1.420
   .EEC4              0.365    0.108    3.374    0.001    0.153    0.577
   .EEF1              0.362    0.128    2.839    0.005    0.112    0.613
   .EEF2              0.359    0.126    2.841    0.004    0.111    0.607
   .EEF3              0.754    0.190    3.965    0.000    0.382    1.127
   .WTA1              1.997    0.455    4.391    0.000    1.105    2.888
   .WTA2              1.626    0.433    3.752    0.000    0.777    2.475
   .WTA3              0.192    0.176    1.093    0.275   -0.152    0.537
   .WTA4              0.591    0.133    4.439    0.000    0.330    0.852
   .PA1               2.484    0.614    4.044    0.000    1.280    3.688
   .PA2               0.456    0.415    1.099    0.272   -0.357    1.268
   .PA3               0.765    0.310    2.466    0.014    0.157    1.372
   .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               0.749    0.462    1.622    0.105   -0.156    1.654
    EEF               1.498    0.428    3.500    0.000    0.659    2.338
    WTA               1.569    0.537    2.923    0.003    0.517    2.621
    PA                0.372    0.381    0.975    0.329   -0.375    1.119
    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
    1.163    0.608
    0.200    0.119
    0.990    0.593
    0.365    0.226
    0.362    0.195
    0.359    0.184
    0.754    0.362
    1.997    0.560
    1.626    0.482
    0.192    0.080
    0.591    0.283
    2.484    0.870
    0.456    0.181
    0.765    0.340
    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              0.392
    EEC2              0.881
    EEC3              0.407
    EEC4              0.774
    EEF1              0.805
    EEF2              0.816
    EEF3              0.638
    WTA1              0.440
    WTA2              0.518
    WTA3              0.920
    WTA4              0.717
    PA1               0.130
    PA2               0.819
    PA3               0.660
    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 
0.846 0.900 0.870 0.711 

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

  EEC   EEF   WTA    PA 
0.861 0.899 0.849 0.735 

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 
0.605 0.750 0.615 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   EEC2   EEC3   EEC4   EEF1   EEF2   EEF3   WTA1   WTA2   WTA3
EEC1  0.000                                                               
EEC2  0.040  0.000                                                        
EEC3  0.040  0.024  0.000                                                 
EEC4 -0.088 -0.001 -0.047  0.000                                          
EEF1  0.066  0.020  0.025  0.047  0.000                                   
EEF2  0.004 -0.032 -0.054  0.033 -0.004  0.000                            
EEF3 -0.034 -0.087  0.076  0.028 -0.015  0.023  0.000                     
WTA1  0.101  0.100  0.169  0.176  0.040  0.057  0.065  0.000              
WTA2 -0.108 -0.043 -0.035  0.090 -0.009  0.018  0.131  0.132  0.000       
WTA3 -0.079  0.004 -0.041  0.044 -0.072 -0.014  0.080 -0.022  0.003  0.000
WTA4 -0.029 -0.076 -0.039 -0.069 -0.006  0.051  0.122 -0.010 -0.043  0.007
PA1  -0.121 -0.034 -0.125 -0.050  0.067  0.065  0.108 -0.063  0.102 -0.041
PA2  -0.032  0.017 -0.090 -0.030  0.117 -0.090 -0.093  0.021  0.050 -0.016
PA3  -0.056  0.056 -0.048  0.007  0.113 -0.070 -0.048  0.055  0.018  0.025
PSP   0.204  0.002 -0.152 -0.016  0.039 -0.065  0.064  0.104  0.139 -0.036
EO    0.087  0.014 -0.046 -0.038  0.057 -0.029 -0.055  0.086 -0.084 -0.029
TO   -0.117 -0.027 -0.043  0.097 -0.026  0.041 -0.038 -0.058 -0.108  0.025
ADT  -0.115 -0.017  0.047  0.052 -0.023  0.017  0.011  0.095 -0.038 -0.007
       WTA4    PA1    PA2    PA3    PSP     EO     TO    ADT
EEC1                                                        
EEC2                                                        
EEC3                                                        
EEC4                                                        
EEF1                                                        
EEF2                                                        
EEF3                                                        
WTA1                                                        
WTA2                                                        
WTA3                                                        
WTA4  0.000                                                 
PA1   0.065  0.000                                          
PA2  -0.033 -0.036  0.000                                   
PA3   0.010  0.062  0.001  0.000                            
PSP   0.033  0.075 -0.006 -0.001  0.000                     
EO    0.127 -0.100  0.012 -0.008  0.000  0.000              
TO   -0.023 -0.058  0.040 -0.073  0.000  0.000  0.000       
ADT   0.009 -0.054 -0.028  0.068  0.000  0.000  0.000  0.000

$cov.z
       EEC1   EEC2   EEC3   EEC4   EEF1   EEF2   EEF3   WTA1   WTA2   WTA3
EEC1  0.000                                                               
EEC2  0.655  0.000                                                        
EEC3  0.474  0.303  0.000                                                 
EEC4 -1.159 -0.010 -0.420  0.000                                          
EEF1  0.924  0.390  0.324  0.913  0.000                                   
EEF2  0.046 -0.995 -0.518  0.639 -0.091  0.000                            
EEF3 -0.421 -1.818  0.812  0.526 -0.411  0.413  0.000                     
WTA1  1.012  0.925  1.911  1.877  0.442  0.926  0.902  0.000              
WTA2 -1.114 -0.592 -0.313  1.099 -0.103  0.225  1.369  1.231  0.000       
WTA3 -1.242  0.128 -0.386  0.597 -1.424 -0.294  1.318 -0.388  0.044  0.000
WTA4 -0.310 -1.206 -0.341 -0.779 -0.076  0.863  1.909 -0.165 -0.607  0.132
PA1  -0.959 -0.259 -0.931 -0.381  0.498  0.595  0.996 -0.548  0.817 -0.383
PA2  -0.370  0.267 -0.839 -0.361  1.693 -1.288 -1.277  0.192  0.579 -0.238
PA3  -0.701  0.574 -0.436  0.080  1.670 -0.988 -0.454  0.484  0.200  0.356
PSP   2.134  0.026 -1.634 -0.155  0.471 -1.021  0.886  1.064  1.376 -0.561
EO    0.886  0.225 -0.441 -0.442  0.832 -0.461 -0.928  1.081 -0.823 -0.516
TO   -1.061 -0.459 -0.376  1.374 -0.380  0.663 -0.493 -0.543 -1.181  0.348
ADT  -1.493 -0.406  0.448  0.930 -0.527  0.350  0.211  0.908 -0.438 -0.173
       WTA4    PA1    PA2    PA3    PSP     EO     TO    ADT
EEC1                                                        
EEC2                                                        
EEC3                                                        
EEC4                                                        
EEF1                                                        
EEF2                                                        
EEF3                                                        
WTA1                                                        
WTA2                                                        
WTA3                                                        
WTA4  0.000                                                 
PA1   0.509  0.000                                          
PA2  -0.459 -0.410  0.000                                   
PA3   0.141  0.569  0.014  0.000                            
PSP   0.416  0.594 -0.060 -0.007  0.000                     
EO    1.645 -0.889  0.146 -0.090  0.000  0.000              
TO   -0.232 -0.523  0.554 -0.803  0.000  0.000  0.000       
ADT   0.146 -0.537 -0.509  0.969  0.000  0.000  0.000  0.000

$summary
                           cov
srmr                     0.063
srmr.se                  0.016
srmr.exactfit.z          0.000
srmr.exactfit.pvalue     0.500
usrmr                    0.000
usrmr.se                 0.027
usrmr.ci.lower          -0.045
usrmr.ci.upper           0.045
usrmr.closefit.h0.value  0.050
usrmr.closefit.z        -1.839
usrmr.closefit.pvalue    0.967

3. Correlation Analysis

Barlett test

R was not square, finding R from data

$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

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

model1 <- '#Testing common method bias using 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
  Atti =~ ADT
  
  # Common method factor
  CMF =~ EEC1 + EEC2 + EEC3 + EEC4 + EEF1 + EEF2 + EEF3 + WTA1 + 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 113 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        90

  Number of observations                            60

Model Test User Model:
                                              Standard      Scaled
  Test Statistic                               110.527          NA
  Degrees of freedom                                81          81
  P-value (Chi-square)                           0.016          NA
  Scaling correction factor                                     NA
                                                                  

Model Test Baseline Model:

  Test statistic                               752.281     714.007
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.054

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.951          NA
  Tucker-Lewis Index (TLI)                       0.907          NA
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -1580.669   -1580.669
  Loglikelihood unrestricted model (H1)      -1525.405   -1525.405
                                                                  
  Akaike (AIC)                                3341.338    3341.338
  Bayesian (BIC)                              3529.829    3529.829
  Sample-size adjusted Bayesian (SABIC)       3246.755    3246.755

Root Mean Square Error of Approximation:

  RMSEA                                          0.078          NA
  90 Percent confidence interval - lower         0.035          NA
  90 Percent confidence interval - upper         0.112          NA
  P-value H_0: RMSEA <= 0.050                    0.119          NA
  P-value H_0: RMSEA >= 0.080                    0.482          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                                           0.057       0.057

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                               0.188    0.136
    EEC2              1.409       NA                      0.264    0.204
    EEC3              0.940       NA                      0.176    0.137
    EEC4              1.321       NA                      0.248    0.195
  EEF =~                                                                
    EEF1              1.000                               0.745    0.546
    EEF2              1.018       NA                      0.759    0.543
    EEF3              0.926       NA                      0.690    0.478
  WTA =~                                                                
    WTA1              1.000                               0.974    0.516
    WTA2              1.018       NA                      0.992    0.540
    WTA3              1.117       NA                      1.088    0.701
    WTA4              0.939       NA                      0.915    0.633
  PA =~                                                                 
    PA1               1.000                               0.640    0.379
    PA2               2.247       NA                      1.439    0.907
    PA3               1.893       NA                      1.213    0.809
  PerceivedS =~                                                         
    PSP               1.000                               0.468    0.599
  Environ =~                                                            
    EO                1.000                               0.669    0.530
  TechScie =~                                                           
    TO                1.000                               1.038    0.727
  Atti =~                                                               
    ADT               1.000                               0.789    0.600
  CMF =~                                                                
    EEC1              1.000                                  NA       NA
    EEC2              1.511       NA                         NA       NA
    EEC3              0.533       NA                         NA       NA
    EEC4              1.238       NA                         NA       NA
    EEF1              1.032       NA                         NA       NA
    EEF2              0.955       NA                         NA       NA
    EEF3              1.302       NA                         NA       NA
    WTA1              0.941       NA                         NA       NA
    WTA2              1.065       NA                         NA       NA
    WTA3              0.609       NA                         NA       NA
    WTA4              0.939       NA                         NA       NA
    PA1              -0.391       NA                         NA       NA
    PA2              -0.394       NA                         NA       NA
    PA3              -0.231       NA                         NA       NA
    PSP              -0.211       NA                         NA       NA
    EO                0.581       NA                         NA       NA
    TO                0.237       NA                         NA       NA
    ADT               0.703       NA                         NA       NA

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EEC ~~                                                                
    EEF               0.135       NA                      0.961    0.961
    WTA               0.028       NA                      0.152    0.152
    PA               -0.086       NA                     -0.712   -0.712
    PerceivedS       -0.217       NA                     -2.477   -2.477
    Environ          -0.086       NA                     -0.683   -0.683
    TechScie          0.226       NA                      1.159    1.159
    Atti              0.066       NA                      0.442    0.442
    CMF               0.753       NA                      4.442    4.442
  EEF ~~                                                                
    WTA               0.290       NA                      0.399    0.399
    PA               -0.157       NA                     -0.328   -0.328
    PerceivedS       -0.260       NA                     -0.746   -0.746
    Environ           0.025       NA                      0.050    0.050
    TechScie          0.234       NA                      0.303    0.303
    Atti              0.174       NA                      0.296    0.296
    CMF               0.884       NA                      1.314    1.314
  WTA ~~                                                                
    PA               -0.266       NA                     -0.426   -0.426
    PerceivedS       -0.294       NA                     -0.644   -0.644
    Environ           0.007       NA                      0.011    0.011
    TechScie          0.302       NA                      0.298    0.298
    Atti              0.267       NA                      0.347    0.347
    CMF               0.782       NA                      0.889    0.889
  PA ~~                                                                 
    PerceivedS        0.210       NA                      0.701    0.701
    Environ          -0.012       NA                     -0.028   -0.028
    TechScie         -0.198       NA                     -0.298   -0.298
    Atti             -0.374       NA                     -0.740   -0.740
    CMF              -0.060       NA                     -0.104   -0.104
  PerceivedS ~~                                                         
    Environ           0.081       NA                      0.258    0.258
    TechScie         -0.175       NA                     -0.361   -0.361
    Atti             -0.431       NA                     -1.168   -1.168
    CMF               0.108       NA                      0.256    0.256
  Environ ~~                                                            
    TechScie         -0.122       NA                     -0.176   -0.176
    Atti             -0.093       NA                     -0.177   -0.177
    CMF               0.665       NA                      1.101    1.101
  TechScie ~~                                                           
    Atti              0.507       NA                      0.619    0.619
    CMF              -0.112       NA                     -0.120   -0.120
  Atti ~~                                                               
    CMF               0.534       NA                      0.749    0.749

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .EEC1              1.186       NA                      1.186    0.620
   .EEC2              0.269       NA                      0.269    0.160
   .EEC3              1.116       NA                      1.116    0.668
   .EEC4              0.341       NA                      0.341    0.211
   .EEF1              0.349       NA                      0.349    0.187
   .EEF2              0.398       NA                      0.398    0.204
   .EEF3              0.858       NA                      0.858    0.412
   .WTA1              1.866       NA                      1.866    0.523
   .WTA2              1.622       NA                      1.622    0.480
   .WTA3              0.467       NA                      0.467    0.193
   .WTA4              0.590       NA                      0.590    0.282
   .PA1               2.523       NA                      2.523    0.883
   .PA2               0.465       NA                      0.465    0.185
   .PA3               0.768       NA                      0.768    0.342
   .PSP               0.474       NA                      0.474    0.776
   .EO                0.650       NA                      0.650    0.407
   .TO                1.058       NA                      1.058    0.519
   .ADT               0.758       NA                      0.758    0.439
    EEC               0.035       NA                      1.000    1.000
    EEF               0.556       NA                      1.000    1.000
    WTA               0.949       NA                      1.000    1.000
    PA                0.410       NA                      1.000    1.000
    PerceivedS        0.219       NA                      1.000    1.000
    Environ           0.448       NA                      1.000    1.000
    TechScie          1.077       NA                      1.000    1.000
    Atti              0.623       NA                      1.000    1.000
    CMF              -0.815       NA                         NA       NA

Analysis (reduced dataset)

Scales

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 

GGplots for histogram per item

2. Realiability analysis

Cronbach Alpha… not working….

3. Factor analysis

Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 

Factor Analysis using method =  minres
Call: fa(r = data_efa_2, nfactors = 2, rotate = "varimax")
Unstandardized loadings (pattern matrix) based upon covariance matrix
      MR1   MR2 h2   u2 H2 U2
EEC1 0.70    NA NA 0.51 NA NA
EEC2 0.86    NA NA 0.26 NA NA
EEC3 0.60    NA NA 0.62 NA NA
EEC4 0.84    NA NA 0.26 NA NA
EEF1 0.82    NA NA 0.33 NA NA
EEF2 0.75    NA NA 0.36 NA NA
EEF3 0.64    NA NA 0.57 NA NA
WTA1 0.68    NA NA 0.53 NA NA
WTA2 0.57    NA NA 0.65 NA NA
WTA3 0.71    NA NA 0.40 NA NA
WTA4 0.75    NA NA 0.40 NA NA
PA1    NA  0.56 NA 0.69 NA NA
PA2    NA  0.77 NA 0.39 NA NA
PA3    NA  0.89 NA 0.20 NA NA
PSP    NA    NA NA 0.81 NA NA
EO   0.62    NA NA 0.61 NA NA
TO     NA    NA NA 0.89 NA NA
ADT    NA -0.40 NA 0.74 NA NA

                      MR1 MR2
SS loadings            NA  NA
Proportion Var         NA  NA
Cumulative Var         NA  NA
Proportion Explained   NA  NA
Cumulative Proportion  NA  NA

 Standardized loadings (pattern matrix)
     item MR1 MR2 h2 u2
EEC1    1  NA  NA NA NA
EEC2    2  NA  NA NA NA
EEC3    3  NA  NA NA NA
EEC4    4  NA  NA NA NA
EEF1    5  NA  NA NA NA
EEF2    6  NA  NA NA NA
EEF3    7  NA  NA NA NA
WTA1    8  NA  NA NA NA
WTA2    9  NA  NA NA NA
WTA3   10  NA  NA NA NA
WTA4   11  NA  NA NA NA
PA1    12  NA  NA NA NA
PA2    13  NA  NA NA NA
PA3    14  NA  NA NA NA
PSP    15  NA  NA NA NA
EO     16  NA  NA NA NA
TO     17  NA  NA NA NA
ADT    18  NA  NA NA NA

                MR1 MR2
SS loadings      NA  NA
Proportion Var   NA  NA
Cumulative Var   NA  NA
Cum. factor Var  NA  NA

Mean item complexity =  1.2
Test of the hypothesis that 2 factors are sufficient.

df null model =  153  with the objective function =  14.56 with Chi Square =  424.67
df of  the model are 118  and the objective function was  5.88 

The root mean square of the residuals (RMSR) is  0.08 
The df corrected root mean square of the residuals is  0.09 

The harmonic n.obs is  37 with the empirical chi square  70.77  with prob <  1 
The total n.obs was  37  with Likelihood Chi Square =  163.67  with prob <  0.0035 

Tucker Lewis Index of factoring reliability =  0.765
RMSEA index =  0.099  and the 90 % confidence intervals are  0.061 0.14
BIC =  -262.42
Fit based upon off diagonal values = 0.96
Measures of factor score adequacy             
                                                   MR1  MR2
Correlation of (regression) scores with factors   0.97 0.99
Multiple R square of scores with factors          0.94 0.97
Minimum correlation of possible factor scores     0.88 0.94

Warning: lavaan->lav_model_vcov():  
   The variance-covariance matrix of the estimated parameters (vcov) does not 
   appear to be positive definite! The smallest eigenvalue (= 8.044271e-15) 
   is close to zero. This may be a symptom that the model is not identified.

lavaan 0.6-19 ended normally after 70 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        60

  Number of observations                            60

Model Test User Model:
                                              Standard      Scaled
  Test Statistic                               151.281     158.211
  Degrees of freedom                               111         111
  P-value (Chi-square)                           0.007       0.002
  Scaling correction factor                                  0.956
    Yuan-Bentler correction (Mplus variant)                       

Model Test Baseline Model:

  Test statistic                               752.281     714.007
  Degrees of freedom                               153         153
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.054

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.933       0.916
  Tucker-Lewis Index (TLI)                       0.907       0.884
                                                                  
  Robust Comparative Fit Index (CFI)                         0.924
  Robust Tucker-Lewis Index (TLI)                            0.895

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -1601.046   -1601.046
  Scaling correction factor                                  1.266
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -1525.405   -1525.405
  Scaling correction factor                                  1.065
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                3322.091    3322.091
  Bayesian (BIC)                              3447.752    3447.752
  Sample-size adjusted Bayesian (SABIC)       3259.036    3259.036

Root Mean Square Error of Approximation:

  RMSEA                                          0.078       0.084
  90 Percent confidence interval - lower         0.043       0.051
  90 Percent confidence interval - upper         0.107       0.113
  P-value H_0: RMSEA <= 0.050                    0.087       0.046
  P-value H_0: RMSEA >= 0.080                    0.469       0.605
                                                                  
  Robust RMSEA                                               0.082
  90 Percent confidence interval - lower                     0.051
  90 Percent confidence interval - upper                     0.110
  P-value H_0: Robust RMSEA <= 0.050                         0.047
  P-value H_0: Robust RMSEA >= 0.080                         0.568

Standardized Root Mean Square Residual:

  SRMR                                           0.063       0.063

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              1.408    0.328    4.287    0.000    0.764    2.051
    EEC3              0.952    0.221    4.314    0.000    0.520    1.385
    EEC4              1.293    0.384    3.369    0.001    0.541    2.045
  EEF =~                                                                
    EEF1              1.000                               1.000    1.000
    EEF2              1.030    0.097   10.583    0.000    0.839    1.221
    EEF3              0.942    0.105    8.965    0.000    0.736    1.148
  WTA =~                                                                
    WTA1              1.000                               1.000    1.000
    WTA2              1.056    0.172    6.152    0.000    0.720    1.393
    WTA3              1.190    0.204    5.817    0.000    0.789    1.590
    WTA4              0.977    0.188    5.198    0.000    0.609    1.345
  PA =~                                                                 
    PA1               1.000                               1.000    1.000
    PA2               2.354    1.337    1.761    0.078   -0.267    4.975
    PA3               1.997    0.897    2.226    0.026    0.239    3.755
  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
                  
    0.865    0.626
    1.218    0.939
    0.824    0.638
    1.119    0.880
                  
    1.224    0.897
    1.261    0.903
    1.153    0.799
                  
    1.253    0.663
    1.323    0.720
    1.490    0.959
    1.224    0.847
                  
    0.610    0.361
    1.436    0.905
    1.218    0.812
                  
    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               0.944    0.408    2.315    0.021    0.145    1.743
    WTA               0.730    0.355    2.053    0.040    0.033    1.426
    PA               -0.128    0.125   -1.024    0.306   -0.372    0.117
    PerceivedS       -0.100    0.135   -0.737    0.461   -0.365    0.166
    Env               0.549    0.210    2.610    0.009    0.137    0.962
    Tech              0.091    0.140    0.650    0.516   -0.184    0.366
    Attitude          0.555    0.253    2.192    0.028    0.059    1.050
  EEF ~~                                                                
    WTA               1.052    0.368    2.855    0.004    0.330    1.774
    PA               -0.220    0.144   -1.528    0.127   -0.502    0.062
    PerceivedS       -0.153    0.189   -0.808    0.419   -0.523    0.218
    Env               0.728    0.223    3.261    0.001    0.290    1.165
    Tech              0.124    0.192    0.648    0.517   -0.252    0.501
    Attitude          0.751    0.283    2.655    0.008    0.197    1.306
  WTA ~~                                                                
    PA               -0.310    0.194   -1.598    0.110   -0.691    0.070
    PerceivedS       -0.260    0.195   -1.333    0.183   -0.643    0.123
    Env               0.543    0.275    1.972    0.049    0.003    1.082
    Tech              0.276    0.215    1.287    0.198   -0.144    0.697
    Attitude          0.739    0.339    2.182    0.029    0.075    1.403
  PA ~~                                                                 
    PerceivedS        0.168    0.109    1.536    0.125   -0.046    0.383
    Env              -0.074    0.119   -0.624    0.533   -0.308    0.160
    Tech             -0.154    0.195   -0.789    0.430   -0.537    0.229
    Attitude         -0.391    0.263   -1.488    0.137   -0.906    0.124
  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
                  
    0.891    0.891
    0.673    0.673
   -0.242   -0.242
   -0.148   -0.148
    0.502    0.502
    0.074    0.074
    0.487    0.487
                  
    0.686    0.686
   -0.295   -0.295
   -0.160   -0.160
    0.471    0.471
    0.071    0.071
    0.467    0.467
                  
   -0.406   -0.406
   -0.266   -0.266
    0.343    0.343
    0.155    0.155
    0.449    0.449
                  
    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              1.163    0.423    2.749    0.006    0.334    1.993
   .EEC2              0.200    0.098    2.042    0.041    0.008    0.391
   .EEC3              0.990    0.219    4.522    0.000    0.561    1.420
   .EEC4              0.365    0.108    3.374    0.001    0.153    0.577
   .EEF1              0.362    0.128    2.839    0.005    0.112    0.613
   .EEF2              0.359    0.126    2.841    0.004    0.111    0.607
   .EEF3              0.754    0.190    3.965    0.000    0.382    1.127
   .WTA1              1.997    0.455    4.391    0.000    1.105    2.888
   .WTA2              1.626    0.433    3.752    0.000    0.777    2.475
   .WTA3              0.192    0.176    1.093    0.275   -0.152    0.537
   .WTA4              0.591    0.133    4.439    0.000    0.330    0.852
   .PA1               2.484    0.614    4.044    0.000    1.280    3.688
   .PA2               0.456    0.415    1.099    0.272   -0.357    1.268
   .PA3               0.765    0.310    2.466    0.014    0.157    1.372
   .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               0.749    0.462    1.622    0.105   -0.156    1.654
    EEF               1.498    0.428    3.500    0.000    0.659    2.338
    WTA               1.569    0.537    2.923    0.003    0.517    2.621
    PA                0.372    0.381    0.975    0.329   -0.375    1.119
    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
    1.163    0.608
    0.200    0.119
    0.990    0.593
    0.365    0.226
    0.362    0.195
    0.359    0.184
    0.754    0.362
    1.997    0.560
    1.626    0.482
    0.192    0.080
    0.591    0.283
    2.484    0.870
    0.456    0.181
    0.765    0.340
    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              0.392
    EEC2              0.881
    EEC3              0.407
    EEC4              0.774
    EEF1              0.805
    EEF2              0.816
    EEF3              0.638
    WTA1              0.440
    WTA2              0.518
    WTA3              0.920
    WTA4              0.717
    PA1               0.130
    PA2               0.819
    PA3               0.660
    PSP               1.000
    EO                1.000
    TO                1.000
    ADT               1.000

  EEC   EEF   WTA    PA 
0.846 0.900 0.870 0.711 

  EEC   EEF   WTA    PA 
0.861 0.899 0.849 0.735 

  EEC   EEF   WTA    PA 
0.605 0.750 0.615 0.514 

$type
[1] "cor.bentler"

$cov
       EEC1   EEC2   EEC3   EEC4   EEF1   EEF2   EEF3   WTA1   WTA2   WTA3
EEC1  0.000                                                               
EEC2  0.040  0.000                                                        
EEC3  0.040  0.024  0.000                                                 
EEC4 -0.088 -0.001 -0.047  0.000                                          
EEF1  0.066  0.020  0.025  0.047  0.000                                   
EEF2  0.004 -0.032 -0.054  0.033 -0.004  0.000                            
EEF3 -0.034 -0.087  0.076  0.028 -0.015  0.023  0.000                     
WTA1  0.101  0.100  0.169  0.176  0.040  0.057  0.065  0.000              
WTA2 -0.108 -0.043 -0.035  0.090 -0.009  0.018  0.131  0.132  0.000       
WTA3 -0.079  0.004 -0.041  0.044 -0.072 -0.014  0.080 -0.022  0.003  0.000
WTA4 -0.029 -0.076 -0.039 -0.069 -0.006  0.051  0.122 -0.010 -0.043  0.007
PA1  -0.121 -0.034 -0.125 -0.050  0.067  0.065  0.108 -0.063  0.102 -0.041
PA2  -0.032  0.017 -0.090 -0.030  0.117 -0.090 -0.093  0.021  0.050 -0.016
PA3  -0.056  0.056 -0.048  0.007  0.113 -0.070 -0.048  0.055  0.018  0.025
PSP   0.204  0.002 -0.152 -0.016  0.039 -0.065  0.064  0.104  0.139 -0.036
EO    0.087  0.014 -0.046 -0.038  0.057 -0.029 -0.055  0.086 -0.084 -0.029
TO   -0.117 -0.027 -0.043  0.097 -0.026  0.041 -0.038 -0.058 -0.108  0.025
ADT  -0.115 -0.017  0.047  0.052 -0.023  0.017  0.011  0.095 -0.038 -0.007
       WTA4    PA1    PA2    PA3    PSP     EO     TO    ADT
EEC1                                                        
EEC2                                                        
EEC3                                                        
EEC4                                                        
EEF1                                                        
EEF2                                                        
EEF3                                                        
WTA1                                                        
WTA2                                                        
WTA3                                                        
WTA4  0.000                                                 
PA1   0.065  0.000                                          
PA2  -0.033 -0.036  0.000                                   
PA3   0.010  0.062  0.001  0.000                            
PSP   0.033  0.075 -0.006 -0.001  0.000                     
EO    0.127 -0.100  0.012 -0.008  0.000  0.000              
TO   -0.023 -0.058  0.040 -0.073  0.000  0.000  0.000       
ADT   0.009 -0.054 -0.028  0.068  0.000  0.000  0.000  0.000

$cov.z
       EEC1   EEC2   EEC3   EEC4   EEF1   EEF2   EEF3   WTA1   WTA2   WTA3
EEC1  0.000                                                               
EEC2  0.655  0.000                                                        
EEC3  0.474  0.303  0.000                                                 
EEC4 -1.159 -0.010 -0.420  0.000                                          
EEF1  0.924  0.390  0.324  0.913  0.000                                   
EEF2  0.046 -0.995 -0.518  0.639 -0.091  0.000                            
EEF3 -0.421 -1.818  0.812  0.526 -0.411  0.413  0.000                     
WTA1  1.012  0.925  1.911  1.877  0.442  0.926  0.902  0.000              
WTA2 -1.114 -0.592 -0.313  1.099 -0.103  0.225  1.369  1.231  0.000       
WTA3 -1.242  0.128 -0.386  0.597 -1.424 -0.294  1.318 -0.388  0.044  0.000
WTA4 -0.310 -1.206 -0.341 -0.779 -0.076  0.863  1.909 -0.165 -0.607  0.132
PA1  -0.959 -0.259 -0.931 -0.381  0.498  0.595  0.996 -0.548  0.817 -0.383
PA2  -0.370  0.267 -0.839 -0.361  1.693 -1.288 -1.277  0.192  0.579 -0.238
PA3  -0.701  0.574 -0.436  0.080  1.670 -0.988 -0.454  0.484  0.200  0.356
PSP   2.134  0.026 -1.634 -0.155  0.471 -1.021  0.886  1.064  1.376 -0.561
EO    0.886  0.225 -0.441 -0.442  0.832 -0.461 -0.928  1.081 -0.823 -0.516
TO   -1.061 -0.459 -0.376  1.374 -0.380  0.663 -0.493 -0.543 -1.181  0.348
ADT  -1.493 -0.406  0.448  0.930 -0.527  0.350  0.211  0.908 -0.438 -0.173
       WTA4    PA1    PA2    PA3    PSP     EO     TO    ADT
EEC1                                                        
EEC2                                                        
EEC3                                                        
EEC4                                                        
EEF1                                                        
EEF2                                                        
EEF3                                                        
WTA1                                                        
WTA2                                                        
WTA3                                                        
WTA4  0.000                                                 
PA1   0.509  0.000                                          
PA2  -0.459 -0.410  0.000                                   
PA3   0.141  0.569  0.014  0.000                            
PSP   0.416  0.594 -0.060 -0.007  0.000                     
EO    1.645 -0.889  0.146 -0.090  0.000  0.000              
TO   -0.232 -0.523  0.554 -0.803  0.000  0.000  0.000       
ADT   0.146 -0.537 -0.509  0.969  0.000  0.000  0.000  0.000

$summary
                           cov
srmr                     0.063
srmr.se                  0.016
srmr.exactfit.z          0.000
srmr.exactfit.pvalue     0.500
usrmr                    0.000
usrmr.se                 0.027
usrmr.ci.lower          -0.045
usrmr.ci.upper           0.045
usrmr.closefit.h0.value  0.050
usrmr.closefit.z        -1.839
usrmr.closefit.pvalue    0.967

4. Correlation Analysis

R was not square, finding R from data

$chisq
[1] 424.6744

$p.value
[1] 2.130108e-27

$df
[1] 153

            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

###5. 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