******************************** * General SEM analysis results * ******************************** General project information --------------------------- Version of WarpPLS used: 3.0 Project path (directory): D:\MY RESEARCH\Penelitian\PENELITIAN FUNDAMENTAL 2016\ Project file: DATA FINAL DIOLAH.prj Last changed: 08-Sep-2016 02:42:12 Last saved: Never (needs to be saved) Raw data path (directory): D:\MY RESEARCH\Penelitian\PENELITIAN FUNDAMENTAL 2016\ Raw data file: DATA FINAL DIOLAH.xlsx Model fit indices and P values ------------------------------ APC=0.272, P<0.001 ARS=0.316, P<0.001 AVIF=1.125, Good if < 5 General model elements ---------------------- Algorithm used in the analysis: PLS regression Resampling method used in the analysis: Bootstrapping Number of data resamples used: 999 Number of cases (rows) in model data: 150 Number of latent variables in model: 4 Number of indicators used in model: 4 Number of iterations to obtain estimates: 2 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 ----------------- CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR -0.121 -0.111 FP 0.776 -0.080 FRM FRM*CSR P values -------- CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR 0.027 0.127 FP <0.001 0.009 FRM FRM*CSR ***************************************** * Standard errors for path coefficients * ***************************************** CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR 0.063 0.097 FP 0.057 0.033 FRM FRM*CSR ************************************** * Effect sizes for path coefficients * ************************************** CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR 0.009 0.006 FP 0.607 0.011 FRM FRM*CSR **************************************** * Combined loadings and cross-loadings * **************************************** CSR MVA FDR FP FRM FRM*CSR SE P value CSR MVA 1.000 0.000 0.000 -0.000 0.000 0.097 <0.001 FDR 0.000 1.000 0.000 -0.000 0.000 0.292 <0.001 FP (Ln) -0.000 0.000 1.000 0.000 0.000 0.104 <0.001 FRM 0.000 0.000 -0.000 1.000 0.000 0.077 <0.001 FRM*CSR 0.000 -0.000 -0.000 -0.000 1.000 0.279 <0.001 Note: P values < 0.05 are desirable for reflective indicators. *************************************** * Pattern loadings and cross-loadings * *************************************** CSR MVA FDR FP FRM FRM*CSR CSR MVA 1.000 0.000 0.000 -0.000 0.000 FDR 0.000 1.000 0.000 -0.000 0.000 FP (Ln) -0.000 0.000 1.000 0.000 0.000 FRM 0.000 0.000 -0.000 1.000 0.000 FRM*CSR 0.000 -0.000 -0.000 -0.000 1.000 ***************************************** * Structure loadings and cross-loadings * ***************************************** CSR MVA FDR FP FRM FRM*CSR CSR MVA 1.000 -0.072 0.782 0.316 -0.444 FDR -0.072 1.000 -0.136 -0.105 -0.057 FP (Ln) 0.782 -0.136 1.000 0.511 -0.503 FRM 0.316 -0.105 0.511 1.000 -0.360 FRM*CSR -0.444 -0.057 -0.503 -0.360 1.000 ********************* * Indicator weights * ********************* CSR MVA FDR FP FRM FRM*CSR SE P value VIF CSR MVA 1.000 0.000 0.000 0.000 0.000 0.000 <0.001 0.000 FDR 0.000 1.000 0.000 0.000 0.000 0.000 <0.001 0.000 FP (Ln) 0.000 0.000 1.000 0.000 0.000 0.000 <0.001 0.000 FRM 0.000 0.000 0.000 1.000 0.000 0.000 <0.001 0.000 FRM*CSR 0.000 0.000 0.000 0.000 1.000 0.000 <0.001 0.000 Note: P values < 0.05 and VIFs < 2.5 are desirable for formative indicators. ******************************** * Latent variable coefficients * ******************************** R-squared coefficients ---------------------- CSR MVA FDR FP FRM FRM*CSR 0.015 0.617 Composite reliability coefficients ---------------------------------- CSR MVA FDR FP FRM FRM*CSR 1.000 1.000 1.000 1.000 1.000 Cronbach's alpha coefficients --------------------------- CSR MVA FDR FP FRM FRM*CSR 1.000 1.000 1.000 1.000 1.000 Average variances extracted --------------------------- CSR MVA FDR FP FRM FRM*CSR 1.000 1.000 1.000 1.000 1.000 Full collinearity VIFs ---------------------- CSR MVA FDR FP FRM FRM*CSR 2.674 1.046 3.380 1.425 1.416 Q-squared coefficients ---------------------- CSR MVA FDR FP FRM FRM*CSR 0.018 0.616 *************************************** * Correlations among latent variables * *************************************** Latent variable correlations ---------------------------- CSR MVA FDR FP FRM FRM*CSR CSR MVA 1.000 -0.072 0.782 0.316 -0.444 FDR -0.072 1.000 -0.136 -0.105 -0.057 FP 0.782 -0.136 1.000 0.511 -0.503 FRM 0.316 -0.105 0.511 1.000 -0.360 FRM*CSR -0.444 -0.057 -0.503 -0.360 1.000 Note: Square roots of average variances extracted (AVE's) shown on diagonal. P values for correlations ------------------------- CSR MVA FDR FP FRM FRM*CSR CSR MVA 1.000 0.380 <0.001 <0.001 <0.001 FDR 0.380 1.000 0.097 0.199 0.490 FP <0.001 0.097 1.000 <0.001 <0.001 FRM <0.001 0.199 <0.001 1.000 <0.001 FRM*CSR <0.001 0.490 <0.001 <0.001 1.000 ************************************ * Block variance inflation factors * ************************************ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR 1.246 1.246 FP 1.005 1.005 FRM FRM*CSR Notes: - 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 ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR FP 0.010 0.009 FRM FRM*CSR Number of paths with 2 segments ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR FP 1 1 FRM FRM*CSR P values of indirect effects for paths with 2 segments ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR FP 0.092 0.185 FRM FRM*CSR Standard errors of indirect effects for paths with 2 segments ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR FP 0.007 0.010 FRM FRM*CSR Effect sizes of indirect effects for paths with 2 segments ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR FP 0.008 0.004 FRM FRM*CSR Sums of indirect effects ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR FP 0.010 0.009 FRM FRM*CSR Number of paths for indirect effects ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR FP 1 1 FRM FRM*CSR P values for sums of indirect effects ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR FP 0.092 0.185 FRM FRM*CSR Standard errors for sums of indirect effects ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR FP 0.007 0.010 FRM FRM*CSR Effect sizes for sums of indirect effects ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR FP 0.008 0.004 FRM FRM*CSR Total effects ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR -0.121 -0.111 FP 0.786 -0.080 0.009 FRM FRM*CSR Number of paths for total effects ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR 1 1 FP 2 1 1 FRM FRM*CSR P values for total effects ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR 0.027 0.127 FP <0.001 0.009 0.185 FRM FRM*CSR Standard errors for total effects ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR 0.063 0.097 FP 0.056 0.033 0.010 FRM FRM*CSR Effect sizes for total effects ------------------------------ CSR MVA FDR FP FRM FRM*CSR CSR MVA FDR 0.009 0.006 FP 0.614 0.011 0.004 FRM FRM*CSR