******************************** * General SEM analysis results * ******************************** General project information --------------------------- Version of WarpPLS used: 7.0 License holder: Trial license (3 months) Type of license: Trial license (3 months) License start date: 04-Apr-2021 License end date: 03-Jul-2021 Project path (directory): D:\UNESA\SKRIPSI\JUDUL SKRIPSI FIX MESTAKUNGG\ Project file: ANALISIS WARPPLS SKRIPSI.prj Last changed: 07-Apr-2021 14:50:09 Last saved: 06-Apr-2021 00:13:00 Raw data path (directory): D:\UNESA\SKRIPSI\JUDUL SKRIPSI FIX MESTAKUNGG\ Raw data file: HASIL DATA FIX 162 YAaa.txt Model fit and quality indices ----------------------------- Average path coefficient (APC)=0.290, P<0.001 Average R-squared (ARS)=0.443, P<0.001 Average adjusted R-squared (AARS)=0.434, P<0.001 Average block VIF (AVIF)=2.217, acceptable if <= 5, ideally <= 3.3 Average full collinearity VIF (AFVIF)=2.042, acceptable if <= 5, ideally <= 3.3 Tenenhaus GoF (GoF)=0.536, small >= 0.1, medium >= 0.25, large >= 0.36 Sympson's paradox ratio (SPR)=1.000, acceptable if >= 0.7, ideally = 1 R-squared contribution ratio (RSCR)=1.000, acceptable if >= 0.9, ideally = 1 Statistical suppression ratio (SSR)=1.000, acceptable if >= 0.7 Nonlinear bivariate causality direction ratio (NLBCDR)=1.000, acceptable if >= 0.7 General model elements ---------------------- Missing data imputation algorithm: Arithmetic Mean Imputation Outer model analysis algorithm: PLS Regression Default inner model analysis algorithm: Warp3 Multiple inner model analysis algorithms used? No Resampling method used in the analysis: Stable3 Number of data resamples used: 100 Number of cases (rows) in model data: 162 Number of latent variables in model: 4 Number of indicators used in model: 13 Number of iterations to obtain estimates: 8 Range restriction variable type: None Range restriction variable: None Range restriction variable min value: 0.000 Range restriction variable max value: 0.000 Only ranked data used in analysis? No ********************************** * Path coefficients and P values * ********************************** Path coefficients ----------------- X1 X2 X3 Y X3 0.304 0.403 Y 0.441 0.042 0.259 P values -------- X1 X2 X3 Y X3 <0.001 <0.001 Y <0.001 0.295 <0.001 ***************************************** * Standard errors for path coefficients * ***************************************** X1 X2 X3 Y X3 0.074 0.072 Y 0.072 0.078 0.074 ************************************** * Effect sizes for path coefficients * ************************************** X1 X2 X3 Y X3 0.181 0.252 Y 0.281 0.023 0.148 **************************************** * Combined loadings and cross-loadings * **************************************** X1 X2 X3 Y Type (a SE P value X11 0.785 -0.133 0.109 -0.075 Reflect 0.066 <0.001 X12 0.820 0.300 0.039 -0.220 Reflect 0.066 <0.001 X13 0.763 -0.186 -0.154 0.313 Reflect 0.067 <0.001 X21 0.176 0.828 -0.077 -0.094 Reflect 0.066 <0.001 X22 -0.039 0.903 -0.059 0.108 Reflect 0.065 <0.001 X23 -0.130 0.853 0.137 -0.023 Reflect 0.065 <0.001 X31 0.268 -0.005 0.824 -0.223 Reflect 0.066 <0.001 X32 0.060 0.036 0.887 0.003 Reflect 0.065 <0.001 X33 -0.076 0.032 0.791 -0.154 Reflect 0.066 <0.001 X34 -0.359 -0.090 0.596 0.510 Reflect 0.069 <0.001 Y1 0.239 -0.190 0.181 0.855 Reflect 0.065 <0.001 Y2 -0.129 0.232 -0.013 0.630 Reflect 0.069 <0.001 Y3 -0.145 0.019 -0.173 0.849 Reflect 0.066 <0.001 Notes: Loadings are unrotated and cross-loadings are oblique-rotated. SEs and P values are for loadings. P values < 0.05 are desirable for reflective indicators. *************************************************** * Normalized combined loadings and cross-loadings * *************************************************** X1 X2 X3 Y X11 0.688 -0.150 0.123 -0.086 X12 0.657 0.371 0.048 -0.272 X13 0.675 -0.210 -0.173 0.353 X21 0.213 0.699 -0.093 -0.114 X22 -0.042 0.682 -0.064 0.117 X23 -0.146 0.694 0.154 -0.026 X31 0.312 -0.005 0.689 -0.259 X32 0.073 0.044 0.683 0.003 X33 -0.082 0.035 0.749 -0.165 X34 -0.421 -0.106 0.688 0.597 Y1 0.306 -0.244 0.232 0.661 Y2 -0.203 0.367 -0.020 0.683 Y3 -0.135 0.018 -0.161 0.780 Note: Loadings are unrotated and cross-loadings are oblique-rotated, both after separate Kaiser normalizations. *************************************** * Pattern loadings and cross-loadings * *************************************** X1 X2 X3 Y X11 0.861 -0.133 0.109 -0.075 X12 0.718 0.300 0.039 -0.220 X13 0.795 -0.186 -0.154 0.313 X21 0.176 0.799 -0.077 -0.094 X22 -0.039 0.914 -0.059 0.108 X23 -0.130 0.869 0.137 -0.023 X31 0.268 -0.005 0.787 -0.223 X32 0.060 0.036 0.822 0.003 X33 -0.076 0.032 0.918 -0.154 X34 -0.359 -0.090 0.576 0.510 Y1 0.239 -0.190 0.181 0.694 Y2 -0.129 0.232 -0.013 0.575 Y3 -0.145 0.019 -0.173 1.053 Note: Loadings and cross-loadings are oblique-rotated. ************************************************** * Normalized pattern loadings and cross-loadings * ************************************************** X1 X2 X3 Y X11 0.977 -0.150 0.123 -0.086 X12 0.887 0.371 0.048 -0.272 X13 0.895 -0.210 -0.173 0.353 X21 0.213 0.966 -0.093 -0.114 X22 -0.042 0.990 -0.064 0.117 X23 -0.146 0.977 0.154 -0.026 X31 0.312 -0.005 0.914 -0.259 X32 0.073 0.044 0.996 0.003 X33 -0.082 0.035 0.982 -0.165 X34 -0.421 -0.106 0.674 0.597 Y1 0.306 -0.244 0.232 0.890 Y2 -0.203 0.367 -0.020 0.908 Y3 -0.135 0.018 -0.161 0.978 Note: Loadings and cross-loadings shown are after oblique rotation and Kaiser normalization. ***************************************** * Structure loadings and cross-loadings * ***************************************** X1 X2 X3 Y X11 0.785 0.490 0.470 0.471 X12 0.820 0.653 0.509 0.445 X13 0.763 0.449 0.393 0.585 X21 0.582 0.828 0.471 0.394 X22 0.618 0.903 0.534 0.518 X23 0.544 0.853 0.558 0.420 X31 0.545 0.532 0.824 0.416 X32 0.548 0.569 0.887 0.527 X33 0.391 0.451 0.791 0.364 X34 0.294 0.303 0.596 0.464 Y1 0.627 0.465 0.579 0.855 Y2 0.405 0.389 0.372 0.630 Y3 0.442 0.369 0.364 0.849 Note: Loadings and cross-loadings are unrotated. **************************************************** * Normalized structure loadings and cross-loadings * **************************************************** X1 X2 X3 Y X11 0.688 0.430 0.413 0.413 X12 0.657 0.524 0.408 0.357 X13 0.675 0.397 0.347 0.517 X21 0.491 0.699 0.398 0.333 X22 0.467 0.682 0.403 0.391 X23 0.442 0.694 0.454 0.342 X31 0.455 0.444 0.689 0.348 X32 0.422 0.438 0.683 0.406 X33 0.371 0.427 0.749 0.345 X34 0.340 0.351 0.688 0.536 Y1 0.484 0.359 0.447 0.661 Y2 0.439 0.422 0.403 0.683 Y3 0.406 0.339 0.334 0.780 Note: Loadings and cross-loadings shown are unrotated and after Kaiser normalization. ********************* * Indicator weights * ********************* X1 X2 X3 Y Type (a SE P value VIF WLS ES X11 0.419 0.000 0.000 0.000 Reflect 0.072 <0.001 1.358 1 0.329 X12 0.438 0.000 0.000 0.000 Reflect 0.072 <0.001 1.445 1 0.359 X13 0.408 0.000 0.000 0.000 Reflect 0.072 <0.001 1.307 1 0.312 X21 0.000 0.372 0.000 0.000 Reflect 0.073 <0.001 1.717 1 0.308 X22 0.000 0.405 0.000 0.000 Reflect 0.072 <0.001 2.346 1 0.366 X23 0.000 0.383 0.000 0.000 Reflect 0.072 <0.001 1.920 1 0.327 X31 0.000 0.000 0.337 0.000 Reflect 0.073 <0.001 1.898 1 0.277 X32 0.000 0.000 0.363 0.000 Reflect 0.073 <0.001 2.345 1 0.322 X33 0.000 0.000 0.323 0.000 Reflect 0.073 <0.001 1.648 1 0.256 X34 0.000 0.000 0.243 0.000 Reflect 0.075 <0.001 1.217 1 0.145 Y1 0.000 0.000 0.000 0.462 Reflect 0.071 <0.001 1.668 1 0.395 Y2 0.000 0.000 0.000 0.341 Reflect 0.073 <0.001 1.139 1 0.215 Y3 0.000 0.000 0.000 0.459 Reflect 0.071 <0.001 1.652 1 0.390 Notes: P values < 0.05 and VIFs < 2.5 are desirable for formative indicators; VIF = indicator variance inflation factor; WLS = indicator weight-loading sign (-1 = Simpson's paradox in l.v.); ES = indicator effect size. ******************************** * Latent variable coefficients * ******************************** R-squared coefficients ---------------------- X1 X2 X3 Y 0.433 0.452 Adjusted R-squared coefficients ------------------------------- X1 X2 X3 Y 0.426 0.442 Composite reliability coefficients ---------------------------------- X1 X2 X3 Y 0.832 0.896 0.861 0.826 Cronbach's alpha coefficients --------------------------- X1 X2 X3 Y 0.698 0.826 0.781 0.680 Average variances extracted --------------------------- X1 X2 X3 Y 0.624 0.743 0.612 0.616 Full collinearity VIFs ---------------------- X1 X2 X3 Y 2.352 2.107 1.865 1.844 Q-squared coefficients ---------------------- X1 X2 X3 Y 0.437 0.455 Minimum and maximum values -------------------------- X1 X2 X3 Y -3.919 -3.507 -3.777 -3.600 2.653 2.108 2.120 2.109 Medians (top) and modes (bottom) -------------------------------- X1 X2 X3 Y -0.002 -0.196 0.007 0.305 -0.380 -0.700 -0.692 0.305 Skewness (top) and exc. kurtosis (bottom) coefficients ------------------------------------------------------ X1 X2 X3 Y -0.092 0.173 -0.181 -0.310 1.571 0.445 0.874 0.821 Tests of unimodality: Rohatgi-Székely (top) and Klaassen-Mokveld-van Es (bottom) -------------------------------------------------------------------------------- X1 X2 X3 Y Yes Yes Yes Yes Yes Yes Yes Yes Tests of normality: Jarque–Bera (top) and robust Jarque–Bera (bottom) --------------------------------------------------------------------- X1 X2 X3 Y No Yes No No No Yes Yes No *************************************************** * Correlations among latent variables and errors * *************************************************** Correlations among l.vs. with sq. rts. of AVEs ---------------------------------------------- X1 X2 X3 Y X1 0.790 0.675 0.580 0.631 X2 0.675 0.862 0.605 0.517 X3 0.580 0.605 0.782 0.562 Y 0.631 0.517 0.562 0.785 Note: Square roots of average variances extracted (AVEs) shown on diagonal. P values for correlations ------------------------- X1 X2 X3 Y X1 1.000 <0.001 <0.001 <0.001 X2 <0.001 1.000 <0.001 <0.001 X3 <0.001 <0.001 1.000 <0.001 Y <0.001 <0.001 <0.001 1.000 Correlations among l.v. error terms with VIFs --------------------------------------------- (e)X3 (e)Y (e)X3 1.001 0.033 (e)Y 0.033 1.001 Notes: Variance inflation factors (VIFs) shown on diagonal. Error terms included (a.k.a. residuals) are for endogenous l.vs. P values for correlations ------------------------- (e)X3 (e)Y (e)X3 1.000 0.676 (e)Y 0.676 1.000 ************************************ * Block variance inflation factors * ************************************ X1 X2 X3 Y X3 2.105 2.105 Y 2.347 2.516 2.010 Note: These VIFs are for the latent variables on each column (predictors), with reference to the latent variables on each row (criteria). ****************************** * Indirect and total effects * ****************************** Indirect effects for paths with 2 segments ------------------------------ X1 X2 X3 Y Y 0.079 0.105 Number of paths with 2 segments ------------------------------ X1 X2 X3 Y Y 1 1 P values of indirect effects for paths with 2 segments ------------------------------ X1 X2 X3 Y Y 0.075 0.028 Standard errors of indirect effects for paths with 2 segments ------------------------------ X1 X2 X3 Y Y 0.055 0.054 Effect sizes of indirect effects for paths with 2 segments ------------------------------ X1 X2 X3 Y Y 0.050 0.056 Sums of indirect effects ------------------------------ X1 X2 X3 Y Y 0.079 0.105 Number of paths for indirect effects ------------------------------ X1 X2 X3 Y Y 1 1 P values for sums of indirect effects ------------------------------ X1 X2 X3 Y Y 0.075 0.028 Standard errors for sums of indirect effects ------------------------------ X1 X2 X3 Y Y 0.055 0.054 Effect sizes for sums of indirect effects ------------------------------ X1 X2 X3 Y Y 0.050 0.056 Total effects ------------------------------ X1 X2 X3 Y X3 0.304 0.403 Y 0.520 0.147 0.259 Number of paths for total effects ------------------------------ X1 X2 X3 Y X3 1 1 Y 2 2 1 P values for total effects ------------------------------ X1 X2 X3 Y X3 <0.001 <0.001 Y <0.001 0.028 <0.001 Standard errors for total effects ------------------------------ X1 X2 X3 Y X3 0.074 0.072 Y 0.070 0.076 0.074 Effect sizes for total effects ------------------------------ X1 X2 X3 Y X3 0.181 0.252 Y 0.332 0.079 0.148 ************************************* * Causality assessment coefficients * ************************************* Path-correlation signs ---------------------- X1 X2 X3 Y X3 1 1 Y 1 1 1 Notes: path-correlation signs; negative sign (i.e., -1) = Simpson's paradox. R-squared contributions ----------------------- X1 X2 X3 Y X3 0.181 0.252 Y 0.281 0.023 0.148 Notes: R-squared contributions of predictor lat. vars.; columns = predictor lat. vars.; rows = criteria lat. vars.; negative sign = reduction in R-squared. Path-correlation ratios ----------------------- X1 X2 X3 Y X3 0.510 0.647 Y 0.691 0.078 0.454 Notes: absolute path-correlation ratios; ratio > 1 indicates statistical suppression; 1 < ratio <= 1.3: weak suppression; 1.3 < ratio <= 1.7: medium; 1.7 < ratio: strong. Path-correlation differences ---------------------------- X1 X2 X3 Y X3 0.292 0.220 Y 0.197 0.496 0.312 Note: absolute path-correlation differences. P values for path-correlation differences ----------------------------------------- X1 X2 X3 Y X3 <0.001 0.002 Y 0.005 <0.001 <0.001 Note: P values for absolute path-correlation differences. Warp2 bivariate causal direction ratios --------------------------------------- X1 X2 X3 Y X3 0.998 1.006 Y 0.998 0.999 1.007 Notes: Warp2 bivariate causal direction ratios; ratio > 1 supports reversed link; 1 < ratio <= 1.3: weak support; 1.3 < ratio <= 1.7: medium; 1.7 < ratio: strong. Warp2 bivariate causal direction differences -------------------------------------------- X1 X2 X3 Y X3 0.001 0.004 Y 0.001 0.001 0.004 Note: absolute Warp2 bivariate causal direction differences. P values for Warp2 bivariate causal direction differences --------------------------------------------------------- X1 X2 X3 Y X3 0.495 0.481 Y 0.495 0.496 0.481 Note: P values for absolute Warp2 bivariate causal direction differences. Warp3 bivariate causal direction ratios --------------------------------------- X1 X2 X3 Y X3 1.057 1.022 Y 1.019 1.010 1.043 Notes: Warp3 bivariate causal direction ratios; ratio > 1 supports reversed link; 1 < ratio <= 1.3: weak support; 1.3 < ratio <= 1.7: medium; 1.7 < ratio: strong. Warp3 bivariate causal direction differences -------------------------------------------- X1 X2 X3 Y X3 0.034 0.014 Y 0.012 0.005 0.025 Note: absolute Warp3 bivariate causal direction differences. P values for Warp3 bivariate causal direction differences --------------------------------------------------------- X1 X2 X3 Y X3 0.332 0.430 Y 0.440 0.472 0.377 Note: P values for absolute Warp3 bivariate causal direction differences.