============================================================================================================== MASTER ANALYSIS ARCHIVE - FINAL TSFS ============================================================================================================== Run time : 2026-09-27 21:49:57 WIB Data file : /Users/sebelumgendang/Desktop/ANECO/data/data_bersih.rds Data MD5 : 48750b60f8c45237797d665dc731c82b N : 704 CFA estimator : MLR CFA scaling : std.lv = TRUE Structural : Two-Step Factor Scores (TSFS) ============================================================================================================== FINAL CFA MODEL FIT ============================================================================================================== Model N Observed_Items Converged Chisq df p CFI TLI RMSEA RMSEA_L RMSEA_U SRMR AIC BIC Heywood ESI 704 6 TRUE 11.3906 8 0.1805 0.9970 0.9944 0.0336 0.0000 0.0742 0.0164 9823.524 9882.762 FALSE PSMLS 704 14 TRUE 214.3113 73 0.0000 0.9593 0.9492 0.0653 0.0553 0.0756 0.0355 16528.655 16674.472 FALSE PEB 704 16 TRUE 361.9779 100 0.0000 0.9294 0.9153 0.0689 0.0614 0.0767 0.0516 29143.322 29307.366 FALSE PWB 704 21 TRUE 364.4859 183 0.0000 0.9499 0.9425 0.0425 0.0361 0.0488 0.0407 36892.357 37111.083 FALSE ============================================================================================================== FIRST-ORDER RELIABILITY / ITEM-LEVEL AVE SUMMARY ============================================================================================================== Construct Factor Items Alpha Omega AVE_item_std Loading_min Loading_max ESI ESI 6 0.8866 0.8654 0.5541 0.7082 0.7902 PSMLS TechComp 5 0.9028 0.9030 0.6557 0.7846 0.8485 PSMLS SocialRel 3 0.7440 0.7354 0.4961 0.6185 0.7488 PSMLS Privacy 3 0.6806 0.6766 0.4400 0.5483 0.7881 PSMLS InfoAware 3 0.8735 0.8748 0.6999 0.7853 0.8752 PEB ConsLife 4 0.6878 0.6959 0.3655 0.5735 0.6464 PEB SocEnv 3 0.7972 0.8244 0.5915 0.6105 0.8846 PEB EnvCit 5 0.7858 0.7862 0.4301 0.4888 0.7073 PEB LandStew 4 0.8188 0.8320 0.5578 0.5469 0.8190 PWB Autonomy 4 0.7353 0.7496 0.4355 0.4751 0.7844 PWB Mastery 3 0.5999 0.6034 0.3513 0.5126 0.6537 PWB Growth 3 0.5755 0.5879 0.3193 0.4869 0.6075 PWB Relations 4 0.7085 0.7194 0.4004 0.5211 0.7381 PWB Purpose 3 0.7947 0.8097 0.5797 0.6325 0.8526 PWB Acceptance 4 0.7270 0.7296 0.4202 0.5160 0.7918 ============================================================================================================== SECOND-ORDER RELIABILITY ============================================================================================================== Construct Omega_second_order Dimensions Mean_squared_second_order_loading Loading_min Loading_max PSMLS 0.8407 4 0.7334 0.7982 0.9370 PEB 0.8529 4 0.7517 0.7625 0.9886 PWB 0.8330 6 0.7001 0.6884 0.9224 Note: Mean_squared_second_order_loading is not item-level AVE. ============================================================================================================== TSFS SCORING DESIGN ============================================================================================================== Mediator equation: Outcome = PEB Bartlett score Predictors = ESI + PSMLS regression scores from joint CFA Outcome equation: Outcome = PWB Bartlett score Predictors = PEB + ESI regression scores from joint CFA PEB Bartlett method used: collapsed-loading Bartlett fallback PWB Bartlett method used: collapsed-loading Bartlett fallback Factor N SD Min Max Model_score_reliability Covariance_reconstruction_error Weight_normalization_error GLS_vs_residual_weights_error Regression_identity_error PEB 704 1.064740 -2.140301 3.434783 0.8833450 2.220446e-16 0.000000e+00 1.942890e-16 1.360023e-14 PWB 704 1.075174 -5.113637 2.529346 0.8662835 2.220446e-16 2.220446e-16 2.081668e-16 5.018208e-14 Scoring_Method collapsed-loading Bartlett fallback collapsed-loading Bartlett fallback ============================================================================================================== PRIMARY TSFS SCORE DESCRIPTIVES ============================================================================================================== Variable N Mean SD Min Max ESI 704 0 0.9365 -4.7601 1.6231 PSMLS 704 0 0.9280 -2.4201 1.5402 PEB 704 0 1.0647 -2.1403 3.4348 PWB 704 0 1.0752 -5.1136 2.5293 CORRELATION MATRIX ESI PSMLS PEB PWB ESI 1.0000 0.5118 0.2691 0.4626 PSMLS 0.5118 1.0000 0.1381 0.3279 PEB 0.2691 0.1381 1.0000 0.3065 PWB 0.4626 0.3279 0.3065 1.0000 ============================================================================================================== MODEL 7 - DIAGNOSTIK ASUMSI REGRESI ============================================================================================================== Equation N BP BP_df BP_p RESET_HC3_F RESET_HC3_p Max_VIF Max_Cooks_D Cook_N_above_4_over_N Inference_SE PEB mediator equation 704 44.629608 3 1.109120e-09 1.459593 0.2330389 1.357059 0.0999189 37 HC3 PWB outcome equation 704 2.368088 2 3.060386e-01 1.664495 0.1900355 1.138638 0.1637278 44 OLS ============================================================================================================== MODEL 7 - MEDIATOR EQUATION ============================================================================================================== Term b SE t p CI_L CI_U SE_Type (Intercept) -0.096747907 0.03918146 -2.46922655 1.377815e-02 -0.17367517 -0.01982064 HC3 ESI_c 0.315812980 0.05014031 6.29858467 5.306095e-10 0.21736957 0.41425639 HC3 PSMLS_c 0.004033289 0.04759995 0.08473305 9.324978e-01 -0.08942249 0.09748907 HC3 ESI_c:PSMLS_c 0.217810075 0.05281124 4.12431297 4.165169e-05 0.11412267 0.32149748 HC3 ============================================================================================================== MODEL 7 - OUTCOME EQUATION ============================================================================================================== Term b SE t p CI_L CI_U SE_Type (Intercept) -2.173967e-16 0.03527045 -6.163708e-15 1.000000e+00 -0.06924837 0.06924837 OLS PEB_R_Y 2.097296e-01 0.04002499 5.239966e+00 2.127111e-07 0.13114637 0.28831280 OLS ESI_R_Y 4.592293e-01 0.04025662 1.140755e+01 9.080479e-28 0.38019133 0.53826732 OLS MODEL R-SQUARED Equation R2 Adjusted_R2 PEB mediator equation 0.1102106 0.1063972 PWB outcome equation 0.2445601 0.2424048 ============================================================================================================== SIMPLE SLOPES ============================================================================================================== PSMLS_Level PSMLS_c Slope_ESI_to_PEB SE t p CI_L CI_U SE_Type Low_minus_1SD -0.927976 0.1136905 0.06767110 1.680044 9.339484e-02 -0.01917219 0.2465531 HC3 Mean 0.000000 0.3158130 0.05014031 6.298585 5.306095e-10 0.21736957 0.4142564 HC3 High_plus_1SD 0.927976 0.5179355 0.07247210 7.146688 2.238704e-12 0.37564677 0.6602242 HC3 JOHNSON-NEYMAN JOHNSON-NEYMAN INTERVAL When PSMLS_c is OUTSIDE the interval [-2.85, -0.86], the slope of ESI_c is p < .05. Note: The range of observed values of PSMLS_c is [-2.42, 1.54] SIMPLE SLOPES ANALYSIS Slope of ESI_c when PSMLS_c = -9.279760e-01 (- 1 SD): Est. S.E. t val. p ------ ------ -------- ------ 0.11 0.07 1.68 0.09 Slope of ESI_c when PSMLS_c = -3.958324e-17 (Mean): Est. S.E. t val. p ------ ------ -------- ------ 0.32 0.05 6.30 0.00 Slope of ESI_c when PSMLS_c = 9.279760e-01 (+ 1 SD): Est. S.E. t val. p ------ ------ -------- ------ 0.52 0.07 7.15 0.00 ============================================================================================================== CONDITIONAL INDIRECT EFFECTS / INDEX OF MODERATED MEDIATION ============================================================================================================== Effect Estimate Boot_SE Boot_LLCI Boot_ULCI Indirect Effect - Low PSMLS 0.02384425 0.01520513 -0.003317936 0.05740380 Indirect Effect - Mean PSMLS 0.06623533 0.01745111 0.035475474 0.10455536 Indirect Effect - High PSMLS 0.10862640 0.02756430 0.060448798 0.16574304 Index of Moderated Mediation 0.04568122 0.01489106 0.019955338 0.07786754 Bootstrap resamples: 5000 Seed: 17012000 CFA re-estimated inside bootstrap: NO ============================================================================================================== PENGUJIAN MODEL CFA BERTAHAP - MODEL FIT ============================================================================================================== Model N Observed_Items Converged Chisq df p CFI TLI RMSEA RMSEA_L RMSEA_U SRMR AIC BIC Heywood ESI_Baseline6 704 6 TRUE 63.1535 9 0.0000 0.9525 0.9208 0.1267 0.0983 0.1570 0.0384 9918.665 9973.346 FALSE ESI_Final6_Correlated23 704 6 TRUE 11.3906 8 0.1805 0.9970 0.9944 0.0336 0.0000 0.0742 0.0164 9823.524 9882.762 FALSE PSMLS_Awal4Correlated 704 14 TRUE 208.4914 71 0.0000 0.9605 0.9494 0.0652 0.0550 0.0756 0.0334 16522.214 16677.145 FALSE PSMLS_Final14_SecondOrder 704 14 TRUE 214.3113 73 0.0000 0.9593 0.9492 0.0653 0.0553 0.0756 0.0355 16528.655 16674.472 FALSE PEB_Baseline19 704 19 TRUE 800.1129 146 0.0000 0.8599 0.8359 0.0895 0.0835 0.0956 0.0663 34496.931 34697.429 FALSE PEB_Old14 704 14 TRUE 256.2807 74 0.0000 0.9383 0.9241 0.0660 0.0573 0.0750 0.0485 25751.811 25893.071 FALSE PEB_15_FourCorrelated 704 15 TRUE 265.8441 84 0.0000 0.9441 0.9301 0.0623 0.0540 0.0708 0.0463 27484.864 27648.908 FALSE PEB_15_FourSecondOrder 704 15 TRUE 277.9039 86 0.0000 0.9411 0.9281 0.0632 0.0550 0.0716 0.0481 27495.522 27650.452 FALSE PEB_ThreeFactor15 704 15 TRUE 292.4134 87 0.0000 0.9365 0.9233 0.0652 0.0571 0.0736 0.0474 27514.434 27664.808 FALSE PEB_16_FourCorrelated 704 16 TRUE 343.3320 98 0.0000 0.9337 0.9188 0.0675 0.0598 0.0753 0.0493 29124.647 29297.804 FALSE PEB_Final16_FourSecondOrder 704 16 TRUE 361.9779 100 0.0000 0.9294 0.9153 0.0689 0.0614 0.0767 0.0516 29143.322 29307.366 FALSE PEB_16_ThreeSecondOrder 704 16 TRUE 402.5483 101 0.0000 0.9180 0.9026 0.0739 0.0664 0.0816 0.0525 29197.731 29357.218 FALSE PWB_Baseline42 704 42 TRUE 4281.7103 804 0.0000 0.6196 0.5926 0.0865 0.0840 0.0891 0.1100 84221.232 84672.353 FALSE PWB_ReverseMethod42 704 42 TRUE 2151.8786 783 0.0000 0.8500 0.8350 0.0551 0.0523 0.0578 0.0869 81672.833 82219.646 FALSE PWB_Old22 704 22 TRUE 493.2487 203 0.0000 0.9235 0.9130 0.0505 0.0448 0.0562 0.0546 39587.006 39814.845 FALSE PWB_Final21_Correlated 704 21 TRUE 349.6186 174 0.0000 0.9517 0.9417 0.0428 0.0363 0.0493 0.0395 36890.120 37149.856 FALSE PWB_Final21_SecondOrder 704 21 TRUE 364.4859 183 0.0000 0.9499 0.9425 0.0425 0.0361 0.0488 0.0407 36892.357 37111.083 FALSE PWB_M7_Add_PWB21R 704 22 TRUE 449.0312 203 0.0000 0.9349 0.9259 0.0467 0.0408 0.0525 0.0452 39255.853 39483.692 FALSE PWB_Final21_Drop_PWB22 704 20 TRUE 328.5991 164 0.0000 0.9514 0.9437 0.0426 0.0359 0.0493 0.0394 35239.819 35449.431 FALSE PWB_Final21_Drop_PWB26 704 20 TRUE 322.2358 164 0.0000 0.9530 0.9455 0.0417 0.0350 0.0484 0.0391 35356.669 35566.281 FALSE Key decision diagnostics: Model Item Intended_Factor Std_Loading MI_Count_GE10 Max_Residual_MI Residual_Partner Max_CrossLoading_MI CrossLoading_Factor PEB_Final16_FourSecondOrder PEB_15 EnvCit 0.7046 2 13.8450 PEB_19 0.4185 SocEnv PEB_Final16_FourSecondOrder PEB_18 LandStew 0.8011 5 54.5511 PEB_17 11.6269 ConsLife PWB_M7_Add_PWB21R PWB_21_R Growth 0.3300 5 26.7389 PWB_20 27.5302 Relations Catatan pengujian model bertahap: - ESI baseline has six items without correlated residuals; final adds ESI_2 ~~ ESI_3. - PEB baseline began with 19 items / 4 factors. - PEB final has 16 items / 4 first-order factors + PEB; the 15-item models are historical comparisons. - Historical 15-item correlated four-factor EnvCit-LandStew correlation = 0.898. - Final 16-item correlated four-factor EnvCit-LandStew correlation = 0.888. - Four-versus-three-factor robust difference test on the same 15 items: delta chi-square(3) = 24.304, p = 2.158e-05. - Historical 15-item four- versus three-factor second-order test: delta chi-square(1) = 10.245, p = 0.001371. - Final 16-item four- versus three-factor second-order test: delta chi-square(1) = 23.216, p = 1.448e-06. - The significant difference establishes distinguishability, not whether a broader aggregate is substantively useful. - On the same 16 items, correlated versus second-order robust difference test: delta chi-square(2) = 20.343, p = 3.824e-05. - PEB final retains PEB_15 and PEB_18; only PEB_2, PEB_9, and PEB_10 are excluded. - Uji PEB_9/10, PEB_18, dan PEB_17 ~~ PEB_18 ada di cfa/peb/laporan_cfa.txt. - PWB reverse-wording factor is diagnostic only and is not retained in the final model. - PWB final has 21 favorable items / 6 first-order factors + second-order PWB. - AIC/BIC must not be interpreted across models with different observed-item sets. - Uji PWB enam faktor berkorelasi versus second-order ada di cfa/pwb/laporan_cfa.txt. ============================================================================================================== REPRODUCIBILITY ============================================================================================================== R version : R version 4.5.2 (2025-10-31) lavaan : 0.6.21 semTools : 0.5.7 knitr : 1.51 sandwich : 3.1.1 lmtest : 0.9.40 interactions : 1.2.0 ggplot2 : 4.0.1 scales : 1.4.0 semPlot : 1.1.7 R version 4.5.2 (2025-10-31) Platform: aarch64-apple-darwin20 Running under: macOS Tahoe 26.5.1 Matrix products: default BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib LAPACK: /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRlapack.dylib; LAPACK version 3.12.1 locale: [1] C.UTF-8/C.UTF-8/C.UTF-8/C/C.UTF-8/C.UTF-8 time zone: Asia/Jakarta tzcode source: internal attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] semPlot_1.1.7 semTools_0.5-7 lavaan_0.6-21 knitr_1.51 loaded via a namespace (and not attached): [1] Rdpack_2.6.4 mnormt_2.1.2 pbapply_1.7-4 gridExtra_2.3 fdrtool_1.2.18 sandwich_3.1-1 rlang_1.3.0 magrittr_2.0.5 [9] multcomp_1.4-28 furrr_0.3.1 otel_0.2.0 rockchalk_1.8.157 compiler_4.5.2 systemfonts_1.3.1 png_0.1-9 vctrs_0.7.3 [17] reshape2_1.4.5 OpenMx_2.22.9 quadprog_1.5-8 stringr_1.6.0 pkgconfig_2.0.3 fastmap_1.2.0 arm_1.14-4 backports_1.5.1 [25] labeling_0.4.3 pbivnorm_0.6.0 pander_0.6.6 rmarkdown_2.31 nloptr_2.2.1 ragg_1.5.0 purrr_1.2.2 xfun_0.60 [33] kutils_1.73 jpeg_0.1-11 psych_2.6.5 broom_1.0.10 parallel_4.5.2 cluster_2.1.8.1 R6_2.6.1 stringi_1.8.7 [41] RColorBrewer_1.1-3 parallelly_1.46.1 boot_1.3-32 rpart_4.1.24 lmtest_0.9-40 estimability_1.5.1 Rcpp_1.1.2 zoo_1.8-15 [49] base64enc_0.1-6 Matrix_1.7-4 splines_4.5.2 nnet_7.3-20 igraph_2.2.3 tidyselect_1.2.1 rstudioapi_0.17.1 abind_1.4-8 [57] codetools_0.2-20 qgraph_1.9.8 listenv_0.10.1 lattice_0.22-7 tibble_3.3.1 plyr_1.8.9 withr_3.0.3 S7_0.2.1 [65] coda_0.19-4.1 evaluate_1.0.5 foreign_0.8-90 future_1.70.0 survival_3.8-3 RcppParallel_5.1.10 zip_2.3.3 jtools_2.3.0 [73] pillar_1.11.1 carData_3.0-5 checkmate_2.3.3 stats4_4.5.2 reformulas_0.4.1 generics_0.1.4 ggplot2_4.0.1 scales_1.4.0 [81] minqa_1.2.8 gtools_3.9.5 globals_0.19.1 xtable_1.8-8 glue_1.8.1 mi_1.1 emmeans_2.0.1 Hmisc_5.2-4 [89] tools_4.5.2 data.table_1.18.2.1 lme4_1.1-37 openxlsx_4.2.8.1 forcats_1.0.1 mvtnorm_1.3-3 XML_3.99-0.23 grid_4.5.2 [97] sem_3.1-16 tidyr_1.3.2 rbibutils_2.4 colorspace_2.1-2 nlme_3.1-168 htmlTable_2.4.3 Formula_1.2-5 cli_3.6.6 [105] textshaping_1.0.4 interactions_1.2.0 dplyr_1.2.1 corpcor_1.6.10 glasso_1.11 gtable_0.3.6 broom.mixed_0.2.9.6 digest_0.6.39 [113] TH.data_1.1-4 htmlwidgets_1.6.4 farver_2.1.2 htmltools_0.5.9 lifecycle_1.0.5 lisrelToR_0.3 MASS_7.3-65