Luận án Ảnh hưởng của niềm tin, cảm nhận rủi ro đến ý định mua thực phẩm của người tiêu dùng tại thành phố Hồ Chí Minh

Kết quả nghiên cứu cho thấy niềm tin vào nhà bán lẻ siêu thị ảnh hưởng tiêu cực đến cảm nhận rủi ro về mặt cảm xúc trong tình huống xảy ra sự cố ATTP (giả thuyết H2.17). Nói cách khác khi xảy ra sự cố ATTP, nếu niềm tin vào nhà bán lẻ siêu thị càng cao thì cảm nhận rủi ro về mặt cảm xúc càng thấp. Điều này hàm ý rằng khi xảy ra sự cố rủi ro ATTP, sẽ xuất hiện những cảm xúc lo lắng, sợ hãi, hoài nghi đối với người tiêu dùng, tuy nhiên những cảm xúc tiêu cực này có thể được cắt giảm nếu gia tăng được niềm tin của người tiêu dùng vào nhà bán lẻ siêu thị. Một khi người tiêu dùng có niềm tin cao vào nhà bán lẻ siêu thị thì nếu có xảy ra sự cố ATTP, người tiêu dùng cũng bớt được những cảm xúc tiêu cực như lo lắng hay sợ hãi. Do dó, các siêu thị cần phải tìm cách xây dựng niềm tin của người tiêu dùng đối với siêu thị bởi nếu xảy ra sự cố ATTP thì siêu thị sẽ là nơi giúp cắt giảm những cảm nhận rủi ro của người tiêu dùng khi họ mua thực phẩm tại đây. Vì vậy, hệ thống siêu thị cần phải nỗ lực tuân thủ một cách nghiêm túc các quy định của nhà nước và hơn nữa có thể hướng tới các tiêu chuẩn quốc tế để đảm bảo rằng tất cả các hàng hóa được bày bán trong siêu thị đều đảm bảo an toàn khi sử dụng

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3 3.415 7.761 36.168 3.050 6.931 33.882 4.401 4 2.691 6.116 42.284 2.335 5.307 39.189 3.833 5 2.601 5.911 48.195 2.254 5.124 44.313 3.660 6 2.379 5.407 53.602 1.985 4.512 48.825 4.188 7 2.206 5.013 58.615 1.902 4.323 53.148 3.232 8 2.066 4.696 63.311 1.744 3.963 57.111 3.267 9 1.717 3.901 67.212 1.405 3.194 60.305 2.390 10 1.552 3.528 70.740 1.222 2.778 63.083 3.653 11 1.096 2.491 73.231 .826 1.877 64.960 2.544 12 .737 1.675 74.907 13 .615 1.397 76.304 14 .522 1.186 77.490 ExtractionMethod: PrincipalAxisFactoring. a. When factors arecorrelated, sums ofsquared loadingscannot be added toobtain a totalvariance. Patter n Matrixa Factor 1 2 3 4 5 6 7 8 9 10 11 NTtb5 .839 NTtb1 .828 NTtb4 .805 NTtb2 .780 NTtb3 .760 NTnn2 .834 NTnn5 .827 NTnn4 .807 NTnn3 .791 NTnn1 .736 PL43 NTch4 .843 NTch5 .832 NTch2 .793 NTch3 .781 NTch1 .704 NTst5 .811 NTst2 .809 NTst4 .775 NTst1 .749 NTst3 .719 NTgm2 .842 NTgm3 .779 NTgm1 .753 NTgm5 .693 NTgm4 .500 NTcn2 .894 NTcn5 .780 NTcn3 .777 NTcn1 .752 S2 .899 S3 .896 S1 .832 Ic2 .987 Ic1 .837 Ic3 .750 R2 .882 R1 .824 R3 .734 A2 .916 A1 .782 A3 .753 NTc2 .899 NTc1 .714 NTc3 .650 ExtractionMethod: PrincipalAxisFactoring.RotationMethod: Promaxwith KaiserNormalization. a. Rotationconverged in 7iterations. PL44 PHÂN TÍCH NHÂN TỐ KHÁM PHÁ TRONG TÌNH HUỐNG CÓ SỰ CỐ LẦN 1: KMO andBartlett'sTest Kaiser-Meyer-OlkinMeasure ofSamplingAdequacy. .861 Bartlett'sTest ofSphericity ApproxChi-Square 2.605E4 df 1176 Sig. .000 TotalVarianceExplained Factor Initial Eigen values Extraction Sums ofSquaredLoadings RotationSums of SquaredLoadingsa Total %of Varianc e Cumulativ e% Total of Varianc e Cumulativ e% Total 1 7.583 15.475 15.475 7.219 14.733 14.733 4.380 2 5.111 10.431 25.906 4.829 9.855 24.588 4.495 3 3.986 8.135 34.041 3.693 7.537 32.124 4.417 4 3.237 6.607 40.648 2.899 5.915 38.040 3.908 5 2.702 5.515 46.163 2.341 4.778 42.818 3.640 6 2.436 4.971 51.134 2.073 4.232 47.049 4.365 7 2.357 4.811 55.945 1.978 4.037 51.086 3.666 8 2.029 4.142 60.087 1.762 3.595 54.681 2.967 9 1.916 3.909 63.996 1.580 3.225 57.906 3.228 10 1.680 3.429 67.425 1.327 2.709 60.614 3.348 11 1.409 2.875 70.300 1.133 2.312 62.927 3.177 12 1.253 2.556 72.856 .957 1.953 64.880 2.578 13 .847 1.729 74.585 14 .682 1.392 75.977 ExtractionMethod: PrincipalAxisFactoring. a. When factors arecorrelated, sums ofsquared loadings cannotbe added toobtain a totalvariance. Pattern Matrixa Factor 1 2 3 4 5 6 7 8 9 10 11 12 NTtb5 .836 NTtb1 .825 NTtb4 .807 NTtb2 .776 NTtb3 .761 NTnn2 .833 NTnn5 .832 NTnn4 .808 NTnn3 .793 NTnn1 .729 PL45 NTch4 .838 NTch5 .832 NTch2 .798 NTch3 .781 NTch1 .707 NTst5 .814 NTst2 .810 NTst4 .774 NTst1 .749 NTst3 .712 Rnt4 .961 Rnt1 .866 Rnt3 .751 Rnt2 .721 NTcn2 .881 NTcn5 .801 NTcn3 .775 NTcn1 .751 NTcn4 .427 NTgm2 .841 NTgm3 .782 NTgm1 .748 NTgm5 .692 NTgm4 .501 Is2 .959 Is3 .873 Is1 .844 S2 .898 S3 .893 S1 .831 A2 .893 A1 .808 A3 .787 Rcx2 .898 Rcx3 .839 Rcx1 .207 .717 NTc2 .906 NTc1 .695 NTc3 .661 ExtractionMethod:PrincipalAxisFactoring. RotationMethod: PromaxwithKaiser Normalization. PL46 KMO andBartlett'sTest Kaiser-Meyer-OlkinMeasure ofSamplingAdequacy. .861 Bartlett'sTest ofSphericity ApproxChi-Square 2.605E4 df 1176 a. Rotationconverged in 6iterations. LẦN 2: KMO andBartlett's Test Kaiser-Meyer-OlkinMeasure of SamplingAdequacy. .860 Bartlett'sTestof Sphericity ApproxChi-Square 2.583E4 df 1128 Sig. .000 TotalVarianceExplained Factor Initial Eigen values Extraction Sums ofSquaredLoadings RotationSums of SquaredLoadingsa Total %of Varianc e Cumulativ e% Total of Varianc e Cumulativ e% Total 1 7.494 15.613 15.613 7.136 14.868 14.868 4.371 2 5.110 10.646 26.259 4.828 10.058 24.926 4.483 3 3.951 8.231 34.490 3.664 7.633 32.559 4.381 4 3.218 6.705 41.195 2.880 6.001 38.559 3.897 5 2.700 5.625 46.820 2.339 4.874 43.433 3.639 6 2.424 5.049 51.869 2.062 4.296 47.729 3.646 7 2.357 4.909 56.779 1.978 4.121 51.850 4.159 8 2.006 4.179 60.958 1.756 3.659 55.509 2.959 9 1.852 3.858 64.816 1.526 3.179 58.689 3.227 10 1.680 3.500 68.316 1.327 2.765 61.454 3.353 11 1.408 2.934 71.250 1.132 2.359 63.813 3.178 12 1.252 2.608 73.858 .956 1.992 65.805 2.571 13 .740 1.541 75.399 14 .601 1.253 76.652 ExtractionMethod: PrincipalAxisFactoring. a. Whenfactors arecorrelated, sums ofsquared loadingscannot be added toobtain a totalvariance. Pattern Matrixa Factor 1 2 3 4 5 6 7 8 9 10 11 12 NTtb5 .837 NTtb1 .826 NTtb4 .808 NTtb2 .777 NTtb3 .762 PL47 NTnn2 .833 NTnn5 .832 NTnn4 .808 NTnn3 .793 NTnn1 .729 NTch4 .839 NTch5 .832 NTch2 .799 NTch3 .780 NTch1 .708 NTst5 .813 NTst2 .810 NTst4 .774 NTst1 .748 NTst3 .711 Rnt4 .961 Rnt1 .866 Rnt3 .750 Rnt2 .721 NTgm2 .842 NTgm3 .784 NTgm1 .748 NTgm5 .693 NTgm4 .504 NTcn2 .896 NTcn5 .782 NTcn3 .776 NTcn1 .747 Is2 .961 Is3 .873 Is1 .841 S2 .898 S3 .892 S1 .831 A2 .893 A1 .810 A3 .788 Rcx2 .898 Rcx3 .839 Rcx1 .207 .717 PL48 NTc2 .905 NTc1 .694 NTc3 .661 ExtractionMethod: PrincipalAxisFactoring. RotationMethod: Promaxwith KaiserNormalization. a. Rotation converged in 6iterations. PHÂN TÍCH EFA THANG ĐO NGUỒN THÔNG TIN TRUYỀN THÔNG KMO andBartlett's Test Kaiser-Meyer-OlkinMeasure ofSamplingAdequacy. .897 Bartlett'sTestofSphericity ApproxChi-Square 2.053E3 df 91 Sig. .000 TotalVarianceExplained Factor Initial Eigen values Extraction Sums ofSquaredLoadings RotationSums of SquaredLoadings a Total %of Varianc e Cumulativ e% Total of Varianc e Cumulativ e% Total 1 6.437 45.977 45.977 6.066 43.330 43.330 5.303 2 1.563 11.163 57.140 1.123 8.025 51.355 4.568 3 1.420 10.142 67.282 1.063 7.590 58.944 3.612 4 .802 5.728 73.010 5 .671 4.792 77.802 6 .550 3.925 81.727 7 .494 3.526 85.253 8 .438 3.126 88.380 9 .372 2.660 91.040 10 .340 2.431 93.471 11 .321 2.293 95.764 12 .261 1.862 97.626 13 .168 1.202 98.827 14 .164 1.173 100.000 ExtractionMethod: PrincipalAxisFactoring. a. When factorsare correlated, sumsof squared loadings cannotbe added toobtain a totalvariance. Pattern Matrixa Factor 1 2 3 Tt11 .965 Tt12 .896 Tt10 .832 Tt13 .796 Tt14 .637 .244 Tt5 .740 Tt6 .735 PL49 Tt7 .702 Tt9 .661 Tt8 .622 Tt4 .240 .329 Tt2 .832 Tt1 .737 Tt3 .730 ExtractionMethod: PrincipalAxis Factoring. RotationMethod: PromaxwithKaiser Normalization. a. Rotationconverged in 5iterations. CFA MÔ HÌNH 1 LẦN 1 Estimate S.E. C.R. P Label NTtb5 <--- NTtb 1.000 NTtb1 <--- NTtb .965 .033 29.660 *** NTtb4 <--- NTtb .979 .034 28.490 *** NTtb2 <--- NTtb .923 .035 26.005 *** NTtb3 <--- NTtb .946 .037 25.592 *** NTnn2 <--- NTnn 1.000 NTnn5 <--- NTnn .951 .033 28.709 *** NTnn4 <--- NTnn .957 .034 28.564 *** NTnn3 <--- NTnn .961 .036 26.948 *** NTnn1 <--- NTnn .876 .036 24.502 *** NTch4 <--- NTch 1.000 NTch5 <--- NTch .959 .032 29.633 *** NTch2 <--- NTch .945 .036 26.571 *** NTch3 <--- NTch .943 .036 25.905 *** NTch1 <--- NTch .893 .037 24.169 *** NTst5 <--- NTst 1.000 NTst2 <--- NTst 1.039 .039 26.500 *** NTst4 <--- NTst .995 .039 25.282 *** NTst1 <--- NTst .920 .039 23.664 *** NTst3 <--- NTst .947 .042 22.731 *** NTgm2 <--- NTgm 1.000 NTgm3 <--- NTgm .884 .036 24.215 *** NTgm1 <--- NTgm .890 .037 24.003 *** NTgm5 <--- NTgm .816 .037 22.326 *** NTgm4 <--- NTgm .586 .040 14.685 *** NTcn2 <--- NTcn 1.000 NTcn5 <--- NTcn .954 .034 28.129 *** NTcn3 <--- NTcn .963 .035 27.579 *** NTcn1 <--- NTcn .896 .036 24.713 *** S2 <--- S 1.000 S3 <--- S 1.006 .028 35.380 *** S1 <--- S .962 .028 34.572 *** Ic2 <--- Ic 1.000 Ic1 <--- Ic .879 .025 35.501 *** PL50 Estimate S.E. C.R. P Label Ic3 <--- Ic .932 .028 33.314 *** R2 <--- R 1.000 R1 <--- R .931 .037 25.014 *** R3 <--- R .833 .035 24.103 *** A2 <--- A 1.000 A1 <--- A .937 .033 28.338 *** A3 <--- A .954 .033 29.303 *** NTc2 <--- NTc 1.000 NTc1 <--- NTc .847 .043 19.631 *** NTc3 <--- NTc .697 .038 18.351 *** StandardizedRegressionWeights: (Groupnumber 1 - Defaultmodel) Estimate NTtb5 <--- NTtb .839 NTtb1 <--- NTtb .838 NTtb4 <--- NTtb .815 NTtb2 <--- NTtb .764 NTtb3 <--- NTtb .756 NTnn2 <--- NTnn .838 NTnn5 <--- NTnn .821 NTnn4 <--- NTnn .818 NTnn3 <--- NTnn .785 NTnn1 <--- NTnn .733 NTch4 <--- NTch .836 NTch5 <--- NTch .845 NTch2 <--- NTch .781 NTch3 <--- NTch .767 NTch1 <--- NTch .729 NTst5 <--- NTst .818 NTst2 <--- NTst .810 NTst4 <--- NTst .780 NTst1 <--- NTst .740 NTst3 <--- NTst .716 NTgm2 <--- NTgm .850 NTgm3 <--- NTgm .755 NTgm1 <--- NTgm .750 NTgm5 <--- NTgm .707 NTgm4 <--- NTgm .495 NTcn2 <--- NTcn .846 NTcn5 <--- NTcn .821 NTcn3 <--- NTcn .808 NTcn1 <--- NTcn .745 S2 <--- S .905 S3 <--- S .871 S1 <--- S .858 PL51 Estimate Ic2 <--- Ic .943 Ic1 <--- Ic .851 Ic3 <--- Ic .820 R2 <--- R .863 R1 <--- R .809 R3 <--- R .771 A2 <--- A .876 A1 <--- A .808 A3 <--- A .830 NTc2 <--- NTc .870 NTc1 <--- NTc .735 NTc3 <--- NTc .666 Model FitSummary CMIN Model NPAR CMIN DF P CMIN/DF Defaultmodel 143 1478.254 847 .000 1.745 Saturatedmodel 990 .000 0 Independencemodel 44 23123.067 946 .000 24.443 RMR, GFI Model RMR GFI AGFI PGFI Defaultmodel .029 .931 .919 .796 Saturatedmodel .000 1.000 Independencemodel .223 .331 .300 .317 Baseline Comparisons Model NFI Delta1 RFI rho1 IFI Delta2 TLI rho2 CFI Defaultmodel .936 .929 .972 .968 .972 Saturatedmodel 1.000 1.000 1.000 Independencemodel .000 .000 .000 .000 .000 Parsimony-AdjustedMeasures Model PRATIO PNFI PCFI Defaultmodel .895 .838 .870 Saturatedmodel .000 .000 .000 Independencemodel 1.000 .000 .000 Model nghiên cứuP LO 90 HI 90 Defaultmodel 631.254 528.302 742.044 PL52 Model nghiên cứuP LO 90 HI 90 Saturated model .000 .000 .000 Independence model 22177.067 21685.158 22675.344 FMIN Model FMIN F0 LO 90 HI 90 Defaultmodel 1.654 .706 .591 .830 Saturated model .000 .000 .000 .000 Independence model 25.865 24.807 24.256 25.364 RMSEA Model RMSEA LO 90 HI 90 PCLOSE Default model .029 .026 .031 1.000 Independence model .162 .160 .164 .000 AIC Model AIC BCC BIC CAIC Default model 1764.254 1779.413 2450.199 2593.199 Saturated model 1980.000 2084.947 6728.855 7718.855 Independence model 23211.067 23215.731 23422.127 23466.127 ECVI Model ECVI LO 90 HI 90 MECVI Default model 1.973 1.858 2.097 1.990 Saturated model 2.215 2.215 2.215 2.332 Independence model 25.963 25.413 26.521 25.968 HOELTER Model HOELTER .05 HOELTER .01 Defaultmodel 554 572 Independencemodel 40 41 CFA MÔ HÌNH 1 LẦN 2 Estimate S.E. C.R. P Label NTtb5 <--- NTtb 1.000 NTtb1 <--- NTtb .965 .033 29.658 *** NTtb4 <--- NTtb .979 .034 28.491 *** NTtb2 <--- NTtb .923 .035 26.005 *** NTtb3 <--- NTtb .946 .037 25.592 *** NTnn2 <--- NTnn 1.000 NTnn5 <--- NTnn .951 .033 28.705 *** NTnn4 <--- NTnn .957 .034 28.564 *** NTnn3 <--- NTnn .961 .036 26.949 *** PL53 Estimate S.E. C.R. P Label NTnn1 <--- NTnn .876 .036 24.504 *** NTch4 <--- NTch 1.000 NTch5 <--- NTch .959 .032 29.636 *** NTch2 <--- NTch .944 .036 26.569 *** NTch3 <--- NTch .943 .036 25.907 *** NTch1 <--- NTch .892 .037 24.170 *** NTst5 <--- NTst 1.000 NTst2 <--- NTst 1.039 .039 26.497 *** NTst4 <--- NTst .995 .039 25.283 *** NTst1 <--- NTst .920 .039 23.664 *** NTst3 <--- NTst .947 .042 22.731 *** NTgm2 <--- NTgm 1.000 NTgm3 <--- NTgm .872 .037 23.738 *** NTgm1 <--- NTgm .897 .037 24.099 *** NTgm5 <--- NTgm .799 .037 21.732 *** NTcn2 <--- NTcn 1.000 NTcn5 <--- NTcn .954 .034 28.130 *** NTcn3 <--- NTcn .962 .035 27.582 *** NTcn1 <--- NTcn .896 .036 24.712 *** S2 <--- S 1.000 S3 <--- S 1.006 .028 35.382 *** S1 <--- S .962 .028 34.574 *** Ic2 <--- Ic 1.000 Ic1 <--- Ic .879 .025 35.500 *** Ic3 <--- Ic .932 .028 33.316 *** R2 <--- R 1.000 R1 <--- R .930 .037 25.011 *** R3 <--- R .833 .035 24.102 *** A2 <--- A 1.000 A1 <--- A .938 .033 28.337 *** A3 <--- A .954 .033 29.303 *** NTc2 <--- NTc 1.000 NTc1 <--- NTc .847 .043 19.631 *** NTc3 <--- NTc .697 .038 18.351 *** StandardizedRegressionWeights: (Groupnumber 1 - Defaultmodel) Estimate NTtb5 <--- NTtb .839 NTtb1 <--- NTtb .838 NTtb4 <--- NTtb .815 NTtb2 <--- NTtb .764 NTtb3 <--- NTtb .756 NTnn2 <--- NTnn .838 NTnn5 <--- NTnn .821 NTnn4 <--- NTnn .818 PL54 Estimate NTnn3 <--- NTnn .786 NTnn1 <--- NTnn .734 NTch4 <--- NTch .836 NTch5 <--- NTch .845 NTch2 <--- NTch .781 NTch3 <--- NTch .767 NTch1 <--- NTch .729 NTst5 <--- NTst .818 NTst2 <--- NTst .810 NTst4 <--- NTst .780 NTst1 <--- NTst .740 NTst3 <--- NTst .716 NTgm2 <--- NTgm .855 NTgm3 <--- NTgm .750 NTgm1 <--- NTgm .760 NTgm5 <--- NTgm .696 NTcn2 <--- NTcn .847 NTcn5 <--- NTcn .821 NTcn3 <--- NTcn .808 NTcn1 <--- NTcn .745 S2 <--- S .905 S3 <--- S .871 S1 <--- S .858 Ic2 <--- Ic .943 Ic1 <--- Ic .851 Ic3 <--- Ic .820 R2 <--- R .863 R1 <--- R .809 R3 <--- R .771 A2 <--- A .876 A1 <--- A .808 A3 <--- A .830 NTc2 <--- NTc .870 NTc1 <--- NTc .735 NTc3 <--- NTc .666 Model Fit Summary CMIN Model NPAR CMIN DF P CMIN/DF Default model 141 1402.544 805 .000 1.742 Saturated model 946 .000 0 Independence model 43 22834.892 903 .000 25.288 RMR, GFI Model RMR GFI AGFI PGFI PL55 Model RMR GFI AGFI PGFI Default model .029 .932 .920 .793 Saturated model .000 1.000 Independence model .227 .331 .299 .316 Baseline Comparisons Model NFI Delta1 RFI rho1 IFI Delta2 TLI rho2 CFI Default model .939 .931 .973 .969 .973 Saturated model 1.000 1.000 1.000 Independence model .000 .000 .000 .000 .000 Parsimony-Adjusted Measures Model PRATIO PNFI PCFI Default model .891 .837 .867 Saturated model .000 .000 .000 Independence model 1.000 .000 .000 Model nghiên cứuP LO 90 HI 90 Default model 597.544 497.403 705.528 Saturated model .000 .000 .000 Independence model 21931.892 21442.904 22427.244 FMIN Model FMIN F0 LO 90 HI 90 Default model 1.569 .668 .556 .789 Saturated model .000 .000 .000 .000 Independence model 25.542 24.532 23.985 25.086 RMSEA Model RMSEA LO 90 HI 90 PCLOSE Default model .029 .026 .031 1.000 Independence model .165 .163 .167 .000 AIC Model AIC BCC BIC CAIC Default model 1684.544 1699.142 2360.896 2501.896 Saturated model 1892.000 1989.939 6429.795 7375.795 Independence model 22920.892 22925.344 23127.155 23170.155 ECVI Model ECVI LO 90 HI 90 MECVI Default model 1.884 1.772 2.005 1.901 Saturated model 2.116 2.116 2.116 2.226 Independence model 25.639 25.092 26.193 25.644 PL56 HOELTER Model HOELTER .05 HOELTER .01 Default model 556 575 Independence model 39 40 CFA MÔ HÌNH 2 LẦN 1 Estimate S.E. C.R. P Label NTtb5 <--- NTtb 1.000 NTtb1 <--- NTtb .965 .032 29.701 *** NTtb4 <--- NTtb .978 .034 28.479 *** NTtb2 <--- NTtb .923 .035 26.035 *** NTtb3 <--- NTtb .945 .037 25.573 *** NTnn2 <--- NTnn 1.000 NTnn5 <--- NTnn .950 .033 28.626 *** NTnn4 <--- NTnn .958 .034 28.544 *** NTnn3 <--- NTnn .961 .036 26.934 *** NTnn1 <--- NTnn .877 .036 24.540 *** NTch4 <--- NTch 1.000 NTch5 <--- NTch .958 .032 29.676 *** NTch2 <--- NTch .943 .035 26.555 *** NTch3 <--- NTch .942 .036 25.927 *** NTch1 <--- NTch .891 .037 24.173 *** NTst5 <--- NTst 1.000 NTst2 <--- NTst 1.040 .039 26.469 *** NTst4 <--- NTst .996 .039 25.249 *** NTst1 <--- NTst .921 .039 23.669 *** NTst3 <--- NTst .949 .042 22.766 *** Rnt4 <--- Rnt 1.000 Rnt1 <--- Rnt .874 .023 37.717 *** Rnt3 <--- Rnt .812 .024 34.389 *** Rnt2 <--- Rnt .766 .031 24.962 *** NTgm2 <--- NTgm 1.000 NTgm3 <--- NTgm .883 .036 24.190 *** NTgm1 <--- NTgm .891 .037 24.037 *** NTgm5 <--- NTgm .816 .037 22.332 *** NTgm4 <--- NTgm .585 .040 14.665 *** NTcn2 <--- NTcn 1.000 NTcn5 <--- NTcn .954 .034 28.114 *** NTcn3 <--- NTcn .963 .035 27.575 *** NTcn1 <--- NTcn .897 .036 24.711 *** Is2 <--- Is 1.000 Is3 <--- Is .964 .023 41.498 *** Is1 <--- Is .893 .024 37.414 *** S2 <--- S 1.000 PL57 Estimate S.E. C.R. P Label S3 <--- S 1.005 .028 35.397 *** S1 <--- S .962 .028 34.598 *** A2 <--- A 1.000 A1 <--- A .919 .033 28.120 *** A3 <--- A .931 .032 28.905 *** Rcx2 <--- Rcx 1.000 Rcx3 <--- Rcx 1.000 .036 27.644 *** Rcx1 <--- Rcx 1.027 .037 27.441 *** NTc2 <--- NTc 1.000 NTc1 <--- NTc .836 .043 19.645 *** NTc3 <--- NTc .680 .037 18.160 *** Standardized Regression Weights: (Group number 1 - Default model) Estimate NTtb5 <--- NTtb .839 NTtb1 <--- NTtb .839 NTtb4 <--- NTtb .815 NTtb2 <--- NTtb .765 NTtb3 <--- NTtb .755 NTnn2 <--- NTnn .838 NTnn5 <--- NTnn .820 NTnn4 <--- NTnn .819 NTnn3 <--- NTnn .786 NTnn1 <--- NTnn .735 NTch4 <--- NTch .836 NTch5 <--- NTch .846 NTch2 <--- NTch .780 NTch3 <--- NTch .767 NTch1 <--- NTch .729 NTst5 <--- NTst .818 NTst2 <--- NTst .810 NTst4 <--- NTst .779 NTst1 <--- NTst .740 NTst3 <--- NTst .718 Rnt4 <--- Rnt .953 Rnt1 <--- Rnt .848 Rnt3 <--- Rnt .812 Rnt2 <--- Rnt .679 NTgm2 <--- NTgm .850 NTgm3 <--- NTgm .755 NTgm1 <--- NTgm .751 NTgm5 <--- NTgm .707 NTgm4 <--- NTgm .495 NTcn2 <--- NTcn .846 NTcn5 <--- NTcn .821 PL58 Estimate NTcn3 <--- NTcn .808 NTcn1 <--- NTcn .745 Is2 <--- Is .958 Is3 <--- Is .882 Is1 <--- Is .840 S2 <--- S .905 S3 <--- S .871 S1 <--- S .858 A2 <--- A .889 A1 <--- A .803 A3 <--- A .821 Rcx2 <--- Rcx .813 Rcx3 <--- Rcx .855 Rcx1 <--- Rcx .847 NTc2 <--- NTc .879 NTc1 <--- NTc .733 NTc3 <--- NTc .656 Model FitSummary CMIN Model NPAR CMIN DF P CMIN/DF Defaultmodel 162 1726.335 1014 .000 1.702 Saturatedmodel 1176 .000 0 Independencemodel 48 26321.903 1128 .000 23.335 RMR, GFI Model RMR GFI AGFI PGFI Defaultmodel .028 .927 .916 .800 Saturatedmodel .000 1.000 Independencemodel .216 .329 .301 .316 Baseline Comparisons Model NFI Delta1 RFI rho1 IFI Delta2 TLI rho2 CFI Defaultmodel .934 .927 .972 .969 .972 Saturatedmodel 1.000 1.000 1.000 Independencemodel .000 .000 .000 .000 .000 Parsimony-Adjusted Measures Model PRATIO PNFI PCFI Defaultmodel .899 .840 .874 Saturatedmodel .000 .000 .000 Independencemodel 1.000 .000 .000 PL59 Model nghiên cứuP LO 90 HI 90 Defaultmodel 712.335 601.359 831.165 Saturatedmodel .000 .000 .000 Independencemodel 25193.903 24669.120 25725.057 FMIN Model FMIN F0 LO 90 HI 90 Defaultmodel 1.931 .797 .673 .930 Saturatedmodel .000 .000 .000 .000 Independencemodel 29.443 28.181 27.594 28.775 RMSEA Model RMSEA LO 90 HI 90 PCLOSE Defaultmodel .028 .026 .030 1.000 Independencemodel .158 .156 .160 .000 AIC Model AIC BCC BIC CAIC Default model 2050.335 2069.123 2827.420 2989.420 Saturated model 2352.000 2488.388 7993.065 9169.065 Independence model 26417.903 26423.469 26648.150 26696.150 ECVI Model ECVI LO 90 HI 90 MECVI Defaultmodel 2.293 2.169 2.426 2.314 Saturatedmodel 2.631 2.631 2.631 2.783 Independencemodel 29.550 28.963 30.144 29.556 HOELTER Model HOELTER .05 HOELTER .01 Defaultmodel 565 581 Independencemodel 42 43 CFA MÔ HÌNH 2 LẦN 2 Estimate S.E. C.R. P Label NTtb5 <--- NTtb 1.000 NTtb1 <--- NTtb .965 .032 29.699 *** NTtb4 <--- NTtb .978 .034 28.481 *** NTtb2 <--- NTtb .923 .035 26.035 *** NTtb3 <--- NTtb .945 .037 25.574 *** NTnn2 <--- NTnn 1.000 NTnn5 <--- NTnn .950 .033 28.623 *** PL60 Estimate S.E. C.R. P Label NTnn4 <--- NTnn .958 .034 28.544 *** NTnn3 <--- NTnn .961 .036 26.935 *** NTnn1 <--- NTnn .877 .036 24.542 *** NTch4 <--- NTch 1.000 NTch5 <--- NTch .958 .032 29.679 *** NTch2 <--- NTch .942 .035 26.553 *** NTch3 <--- NTch .942 .036 25.930 *** NTch1 <--- NTch .891 .037 24.173 *** NTst5 <--- NTst 1.000 NTst2 <--- NTst 1.040 .039 26.466 *** NTst4 <--- NTst .996 .039 25.250 *** NTst1 <--- NTst .922 .039 23.668 *** NTst3 <--- NTst .949 .042 22.765 *** Rnt4 <--- Rnt 1.000 Rnt1 <--- Rnt .874 .023 37.718 *** Rnt3 <--- Rnt .812 .024 34.390 *** Rnt2 <--- Rnt .766 .031 24.962 *** NTgm2 <--- NTgm 1.000 NTgm3 <--- NTgm .872 .037 23.711 *** NTgm1 <--- NTgm .898 .037 24.127 *** NTgm5 <--- NTgm .800 .037 21.734 *** NTcn2 <--- NTcn 1.000 NTcn5 <--- NTcn .954 .034 28.115 *** NTcn3 <--- NTcn .963 .035 27.579 *** NTcn1 <--- NTcn .897 .036 24.710 *** Is2 <--- Is 1.000 Is3 <--- Is .964 .023 41.498 *** Is1 <--- Is .893 .024 37.414 *** S2 <--- S 1.000 S3 <--- S 1.005 .028 35.399 *** S1 <--- S .962 .028 34.600 *** A2 <--- A 1.000 A1 <--- A .919 .033 28.119 *** A3 <--- A .931 .032 28.904 *** Rcx2 <--- Rcx 1.000 Rcx3 <--- Rcx 1.000 .036 27.644 *** Rcx1 <--- Rcx 1.027 .037 27.441 *** NTc2 <--- NTc 1.000 NTc1 <--- NTc .837 .043 19.644 *** NTc3 <--- NTc .680 .037 18.159 *** StandardizedRegressionWeights: (Groupnumber 1 - Defaultmodel) Estimate NTtb5 <--- NTtb .839 NTtb1 <--- NTtb .839 PL61 Estimate NTtb4 <--- NTtb .815 NTtb2 <--- NTtb .765 NTtb3 <--- NTtb .755 NTnn2 <--- NTnn .838 NTnn5 <--- NTnn .820 NTnn4 <--- NTnn .819 NTnn3 <--- NTnn .786 NTnn1 <--- NTnn .735 NTch4 <--- NTch .836 NTch5 <--- NTch .846 NTch2 <--- NTch .780 NTch3 <--- NTch .767 NTch1 <--- NTch .729 NTst5 <--- NTst .817 NTst2 <--- NTst .810 NTst4 <--- NTst .780 NTst1 <--- NTst .740 NTst3 <--- NTst .718 Rnt4 <--- Rnt .953 Rnt1 <--- Rnt .848 Rnt3 <--- Rnt .812 Rnt2 <--- Rnt .680 NTgm2 <--- NTgm .855 NTgm3 <--- NTgm .749 NTgm1 <--- NTgm .760 NTgm5 <--- NTgm .696 NTcn2 <--- NTcn .846 NTcn5 <--- NTcn .820 NTcn3 <--- NTcn .808 NTcn1 <--- NTcn .745 Is2 <--- Is .959 Is3 <--- Is .882 Is1 <--- Is .840 S2 <--- S .905 S3 <--- S .871 S1 <--- S .858 A2 <--- A .889 A1 <--- A .803 A3 <--- A .821 Rcx2 <--- Rcx .813 Rcx3 <--- Rcx .855 Rcx1 <--- Rcx .847 NTc2 <--- NTc .879 NTc1 <--- NTc .733 NTc3 <--- NTc .657 PL62 Model Fit Summary CMIN Model NPAR CMIN DF P CMIN/DF Default model 160 1649.929 968 .000 1.704 Saturated model 1128 .000 0 Independence model 47 26033.615 1081 .000 24.083 RMR, GFI Model RMR GFI AGFI PGFI Defaultmodel .028 .929 .917 .797 Saturatedmodel .000 1.000 Independencemodel .219 .328 .299 .315 Baseline Comparisons Model NFI Delta1 RFI rho1 IFI Delta2 TLI rho2 CFI Default model .937 .929 .973 .969 .973 Saturated model 1.000 1.000 1.000 Independence model .000 .000 .000 .000 .000 Parsimony-Adjusted Measures Model PRATIO PNFI PCFI Default model .895 .839 .871 Saturated model .000 .000 .000 Independence model 1.000 .000 .000 Model nghiên cứuP LO 90 HI 90 Default model 681.929 573.498 798.216 Saturated model .000 .000 .000 Independence model 24952.615 24430.551 25481.047 FMIN Model FMIN F0 LO 90 HI 90 Default model 1.846 .763 .641 .893 Saturated model .000 .000 .000 .000 Independence model 29.120 27.911 27.327 28.502 RMSEA Model RMSEA LO 90 HI 90 PCLOSE Default model .028 .026 .030 1.000 Independence model .161 .159 .162 .000 PL63 AIC Model AIC BCC BIC CAIC Default model 1969.929 1988.085 2737.421 2897.421 Saturated model 2256.000 2384.000 7666.817 8794.817 Independence model 26127.615 26132.948 26353.065 26400.065 ECVI Model ECVI LO 90 HI 90 MECVI Defaultmodel 2.204 2.082 2.334 2.224 Saturatedmodel 2.523 2.523 2.523 2.667 Independencemodel 29.226 28.642 29.817 29.231 HOELTER Model HOELTER .05 HOELTER .01 Defaultmodel 565 582 Independencemodel 40 41 SEM MÔ HÌNH 1 Estimate S.E. C.R. P Label NTst <--- NTc .122 .037 3.326 *** NTtb <--- NTc .089 .038 2.347 .019 NTcn <--- NTc .126 .038 3.318 *** NTch <--- NTc .130 .034 3.807 *** NTnn <--- NTc .121 .039 3.078 .002 NTgm <--- NTc .129 .029 4.396 *** R <--- NTst .055 .038 1.462 .144 R <--- NTtb -.006 .036 -.179 .858 R <--- NTch -.128 .040 -3.182 .001 R <--- NTnn -.218 .035 -6.241 *** A <--- S .403 .030 13.377 *** R <--- NTcn .049 .036 1.349 .177 R <--- NTgm .090 .049 1.826 .068 Ic <--- R .050 .030 1.664 .096 Ic <--- A .588 .043 13.609 *** Ic <--- S -.009 .034 -.274 .784 NTch3 <--- NTch 1.000 NTch2 <--- NTch 1.001 .042 24.021 *** NTch4 <--- NTch 1.060 .041 25.895 *** NTch5 <--- NTch 1.014 .039 26.155 *** NTch1 <--- NTch .942 .043 22.108 *** NTnn2 <--- NTnn 1.000 NTnn4 <--- NTnn .957 .034 28.324 *** NTnn1 <--- NTnn .877 .036 24.371 *** NTnn3 <--- NTnn .963 .036 26.826 *** NTnn5 <--- NTnn .956 .033 28.658 *** NTst2 <--- NTst 1.000 PL64 Estimate S.E. C.R. P Label NTst3 <--- NTst .913 .041 22.416 *** NTst1 <--- NTst .887 .038 23.320 *** NTst5 <--- NTst .965 .037 26.319 *** NTst4 <--- NTst .962 .039 24.922 *** NTtb3 <--- NTtb 1.000 NTtb5 <--- NTtb 1.057 .041 25.558 *** NTtb4 <--- NTtb 1.031 .042 24.706 *** NTtb2 <--- NTtb .978 .042 23.164 *** NTtb1 <--- NTtb 1.018 .040 25.502 *** S3 <--- S 1.000 S2 <--- S .996 .028 35.275 *** S1 <--- S .958 .029 32.983 *** Ic2 <--- Ic 1.000 Ic1 <--- Ic .880 .025 35.412 *** Ic3 <--- Ic .933 .028 33.239 *** NTcn2 <--- NTcn 1.000 NTcn3 <--- NTcn .947 .035 27.350 *** NTcn1 <--- NTcn .890 .036 24.828 *** NTcn5 <--- NTcn .937 .034 27.778 *** R2 <--- R 1.000 R1 <--- R .927 .037 25.113 *** R3 <--- R .827 .034 24.147 *** A2 <--- A 1.000 A3 <--- A .954 .033 29.127 *** NTc2 <--- NTc 1.000 NTc1 <--- NTc .825 .044 18.661 *** NTc3 <--- NTc .674 .039 17.488 *** NTgm5 <--- NTgm 1.000 NTgm3 <--- NTgm 1.105 .057 19.561 *** NTgm2 <--- NTgm 1.268 .060 21.303 *** NTgm1 <--- NTgm 1.140 .058 19.819 *** A1 <--- A .939 .033 28.240 *** StandardizedRegressionWeights: (Groupnumber 1 - Defaultmodel) Estimate NTst <--- NTc .129 NTtb <--- NTc .090 NTcn <--- NTc .128 NTch <--- NTc .147 NTnn <--- NTc .118 NTgm <--- NTc .174 R <--- NTst .054 R <--- NTtb -.007 R <--- NTch -.118 R <--- NTnn -.233 PL65 Estimate A <--- S .478 R <--- NTcn .050 R <--- NTgm .069 Ic <--- R .054 Ic <--- A .542 Ic <--- S -.010 NTch3 <--- NTch .769 NTch2 <--- NTch .782 NTch4 <--- NTch .836 NTch5 <--- NTch .844 NTch1 <--- NTch .727 NTnn2 <--- NTnn .836 NTnn4 <--- NTnn .817 NTnn1 <--- NTnn .733 NTnn3 <--- NTnn .786 NTnn5 <--- NTnn .824 NTst2 <--- NTst .808 NTst3 <--- NTst .716 NTst1 <--- NTst .740 NTst5 <--- NTst .818 NTst4 <--- NTst .782 NTtb3 <--- NTtb .756 NTtb5 <--- NTtb .839 NTtb4 <--- NTtb .813 NTtb2 <--- NTtb .767 NTtb1 <--- NTtb .837 S3 <--- S .870 S2 <--- S .905 S1 <--- S .858 Ic2 <--- Ic .942 Ic1 <--- Ic .851 Ic3 <--- Ic .820 NTcn2 <--- NTcn .855 NTcn3 <--- NTcn .804 NTcn1 <--- NTcn .747 NTcn5 <--- NTcn .814 R2 <--- R .867 R1 <--- R .809 R3 <--- R .769 A2 <--- A .876 A3 <--- A .829 NTc2 <--- NTc .882 NTc1 <--- NTc .726 NTc3 <--- NTc .653 NTgm5 <--- NTgm .688 PL66 Estimate NTgm3 <--- NTgm .751 NTgm2 <--- NTgm .856 NTgm1 <--- NTgm .763 A1 <--- A .808 Squared Multiple Correlations: (Group number 1 - Default model) Estimate NTgm .030 NTcn .017 S .000 NTtb .008 NTst .017 NTnn .014 NTch .022 A .228 R .077 Ic .291 NTgm1 .582 NTgm2 .733 NTgm3 .563 NTgm5 .473 NTc3 .426 NTc1 .526 NTc2 .777 A3 .688 A1 .654 A2 .768 R3 .592 R1 .655 R2 .751 NTcn5 .662 NTcn1 .558 NTcn3 .646 NTcn2 .731 Ic3 .673 Ic1 .724 Ic2 .888 S1 .736 S2 .820 S3 .757 NTtb1 .701 NTtb2 .588 NTtb4 .661 NTtb5 .704 NTtb3 .572 PL67 Estimate NTst4 .611 NTst5 .670 NTst1 .548 NTst3 .513 NTst2 .653 NTnn5 .679 NTnn3 .618 NTnn1 .537 NTnn4 .668 NTnn2 .699 NTch1 .529 NTch5 .713 NTch4 .700 NTch2 .612 NTch3 .591 Matrices (Groupnumber 1 - Default model) Total Effects (Groupnumber 1 - Default model) NTc NTgm NTcn S NTtb NTst NTnn NTch A R Ic NTgm .129 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTcn .126 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTtb .089 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTst .122 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTnn .121 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTch .130 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 A .000 .000 .000 .403 .000 .000 .000 .000 .000 .000 .000 R -.019 .090 .049 .000 -.006 .055 -.218 -.128 .000 .000 .000 Ic -.001 .004 .002 .228 .000 .003 -.011 -.006 .588 .050 .000 StandardizedTotalEffects (Groupnumber 1 - Defaultmodel) NTc NTgm NTcn S NTtb NTst NTnn NTch A R Ic NTgm .174 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTcn .128 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTtb .090 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTst .129 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTnn .118 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTch .147 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 A .000 .000 .000 .478 .000 .000 .000 .000 .000 .000 .000 R -.020 .069 .050 .000 -.007 .054 -.233 -.118 .000 .000 .000 Ic -.001 .004 .003 .248 .000 .003 -.013 -.006 .542 .054 .000 Direct Effects (Group number 1 - Defaultmodel) NTc NTgm NTcn S NTtb NTst NTnn NTch A R Ic NTgm .129 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTcn .126 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 PL68 NTc NTgm NTcn S NTtb NTst NTnn NTch A R Ic NTtb .089 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTst .122 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTnn .121 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTch .130 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 A .000 .000 .000 .403 .000 .000 .000 .000 .000 .000 .000 R .000 .090 .049 .000 -.006 .055 -.218 -.128 .000 .000 .000 Ic .000 .000 .000 -.009 .000 .000 .000 .000 .588 .050 .000 Standardized DirectEffects (Groupnumber 1 - Defaultmodel) NTc NTgm NTcn S NTtb NTst NTnn NTch A R Ic NTgm .174 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTcn .128 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTtb .090 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTst .129 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTnn .118 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTch .147 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 A .000 .000 .000 .478 .000 .000 .000 .000 .000 .000 .000 R .000 .069 .050 .000 -.007 .054 -.233 -.118 .000 .000 .000 Ic .000 .000 .000 -.010 .000 .000 .000 .000 .542 .054 .000 Indirect Effects (Groupnumber 1 - Defaultmodel) NTc NTgm NTcn S NTtb NTst NTnn NTch A R Ic NTgm .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTcn .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTtb .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTst .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTnn .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTch .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 A .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 R -.019 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 Ic -.001 .004 .002 .237 .000 .003 -.011 -.006 .000 .000 .000 Standardized IndirectEffects (Groupnumber 1 - Defaultmodel) NTc NTgm NTcn S NTtb NTst NTnn NTch A R Ic NTgm .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTcn .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTtb .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTst .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTnn .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTch .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 A .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 R -.020 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 Ic -.001 .004 .003 .259 .000 .003 -.013 -.006 .000 .000 .000 Model Fit Summary PL69 CMIN Model NPAR CMIN DF P CMIN/DF Default model 102 2114.202 844 .000 2.505 Saturated model 946 .000 0 Independence model 43 22834.892 903 .000 25.288 RMR, GFI Model RMR GFI AGFI PGFI Default model .117 .894 .881 .797 Saturated model .000 1.000 Independence model .227 .331 .299 .316 BaselineComparisons Model NFI Delta1 RFI rho1 IFI Delta2 TLI rho2 CFI Defaultmodel .907 .901 .942 .938 .942 Saturatedmodel 1.000 1.000 1.000 Independencemodel .000 .000 .000 .000 .000 Parsimony-AdjustedMeasures Model PRATIO PNFI PCFI Defaultmodel .935 .848 .881 Saturatedmodel .000 .000 .000 Independencemodel 1.000 .000 .000 Model nghiên cứuP LO 90 HI 90 Defaultmodel 1270.202 1138.655 1409.389 Saturatedmodel .000 .000 .000 Independencemodel 21931.892 21442.904 22427.244 FMIN Model FMIN F0 LO 90 HI 90 Default model 2.365 1.421 1.274 1.576 Saturated model .000 .000 .000 .000 Independence model 25.542 24.532 23.985 25.086 RMSEA Model RMSEA LO 90 HI 90 PCLOSE Default model .041 .039 .043 1.000 Independence model .165 .163 .167 .000 AIC Model AIC BCC BIC CAIC Defaultmodel 2318.202 2328.762 2807.478 2909.478 Saturatedmodel 1892.000 1989.939 6429.795 7375.795 PL70 Model AIC BCC BIC CAIC Independencemodel 22920.892 22925.344 23127.155 23170.155 ECVI Model ECVI LO 90 HI 90 MECVI Default model 2.593 2.446 2.749 2.605 Saturated model 2.116 2.116 2.116 2.226 Independence model 25.639 25.092 26.193 25.644 HOELTER Model HOELTER .05 HOELTER .01 Defaultmodel 386 399 Independencemodel 39 40 SEM MÔ HÌNH 2 Estimate S.E. C.R. P Label NTst <--- NTc .119 .037 3.248 .001 NTtb <--- NTc .087 .038 2.307 .021 NTcn <--- NTc .126 .038 3.314 *** NTch <--- NTc .131 .034 3.838 *** NTnn <--- NTc .123 .039 3.128 .002 NTgm <--- NTc .142 .032 4.405 *** Rcx <--- NTst -.130 .035 -3.669 *** Rcx <--- NTtb -.094 .034 -2.802 .005 Rcx <--- NTch -.023 .037 -.616 .538 Rcx <--- NTnn -.080 .032 -2.493 .013 Rcx <--- NTcn .036 .034 1.056 .291 Rcx <--- NTgm .043 .041 1.040 .298 A <--- S .406 .030 13.364 *** Rnt <--- NTnn .033 .033 .990 .322 Rnt <--- NTch -.023 .038 -.595 .552 Rnt <--- NTst .054 .036 1.487 .137 Rnt <--- NTcn .000 .034 .004 .996 Rnt <--- NTtb -.077 .034 -2.239 .025 Rnt <--- Rcx .673 .042 16.020 *** Rnt <--- NTgm .079 .042 1.877 .061 Is <--- Rcx .044 .048 .913 .361 Is <--- A .366 .049 7.514 *** Is <--- S .127 .041 3.138 .002 Is <--- Rnt -.077 .039 -1.999 .046 NTch3 <--- NTch 1.000 NTch2 <--- NTch 1.000 .042 23.990 *** NTch4 <--- NTch 1.061 .041 25.913 *** NTch5 <--- NTch 1.014 .039 26.148 *** PL71 Estimate S.E. C.R. P Label NTch1 <--- NTch .942 .043 22.095 *** NTnn2 <--- NTnn 1.000 NTnn4 <--- NTnn .958 .034 28.308 *** NTnn1 <--- NTnn .878 .036 24.418 *** NTnn3 <--- NTnn .963 .036 26.802 *** NTnn5 <--- NTnn .954 .033 28.579 *** NTst2 <--- NTst 1.000 NTst3 <--- NTst .915 .041 22.472 *** NTst1 <--- NTst .889 .038 23.354 *** NTst5 <--- NTst .964 .037 26.281 *** NTst4 <--- NTst .962 .039 24.909 *** NTtb3 <--- NTtb 1.000 NTtb5 <--- NTtb 1.058 .041 25.538 *** NTtb4 <--- NTtb 1.032 .042 24.676 *** NTtb2 <--- NTtb .979 .042 23.161 *** NTtb1 <--- NTtb 1.019 .040 25.494 *** S3 <--- S 1.000 S2 <--- S .996 .028 35.312 *** S1 <--- S .958 .029 32.980 *** Is2 <--- Is 1.000 Is1 <--- Is .893 .024 37.513 *** Is3 <--- Is .964 .023 41.612 *** NTcn2 <--- NTcn 1.000 NTcn3 <--- NTcn .948 .035 27.334 *** NTcn1 <--- NTcn .891 .036 24.843 *** NTcn5 <--- NTcn .937 .034 27.768 *** Rcx1 <--- Rcx 1.000 Rcx2 <--- Rcx .973 .036 27.231 *** Rcx3 <--- Rcx .973 .034 28.580 *** A2 <--- A 1.000 A1 <--- A .921 .033 27.975 *** A3 <--- A .930 .033 28.602 *** NTc2 <--- NTc 1.000 NTc1 <--- NTc .825 .044 18.660 *** NTc3 <--- NTc .674 .039 17.489 *** Rnt4 <--- Rnt 1.000 Rnt2 <--- Rnt .766 .031 24.952 *** Rnt3 <--- Rnt .811 .024 34.373 *** Rnt1 <--- Rnt .874 .023 37.702 *** NTgm3 <--- NTgm 1.000 NTgm2 <--- NTgm 1.146 .049 23.549 *** NTgm5 <--- NTgm .905 .046 19.558 *** NTgm1 <--- NTgm 1.033 .048 21.722 *** PL72 Standardized RegressionWeights: (Groupnumber 1 - Defaultmodel) Estimate NTst <--- NTc .126 NTtb <--- NTc .088 NTcn <--- NTc .128 NTch <--- NTc .148 NTnn <--- NTc .120 NTgm <--- NTc .174 Rcx <--- NTst -.138 Rcx <--- NTtb -.104 Rcx <--- NTch -.023 Rcx <--- NTnn -.092 Rcx <--- NTcn .039 Rcx <--- NTgm .039 A <--- S .475 Rnt <--- NTnn .031 Rnt <--- NTch -.019 Rnt <--- NTst .048 Rnt <--- NTcn .000 Rnt <--- NTtb -.070 Rnt <--- Rcx .558 Rnt <--- NTgm .060 Is <--- Rcx .039 Is <--- A .304 Is <--- S .124 Is <--- Rnt -.083 NTch3 <--- NTch .769 NTch2 <--- NTch .781 NTch4 <--- NTch .837 NTch5 <--- NTch .844 NTch1 <--- NTch .727 NTnn2 <--- NTnn .836 NTnn4 <--- NTnn .817 NTnn1 <--- NTnn .734 NTnn3 <--- NTnn .786 NTnn5 <--- NTnn .823 NTst2 <--- NTst .808 NTst3 <--- NTst .718 NTst1 <--- NTst .741 NTst5 <--- NTst .817 NTst4 <--- NTst .781 NTtb3 <--- NTtb .755 NTtb5 <--- NTtb .839 NTtb4 <--- NTtb .813 NTtb2 <--- NTtb .767 NTtb1 <--- NTtb .838 PL73 Estimate S3 <--- S .870 S2 <--- S .906 S1 <--- S .858 Is2 <--- Is .959 Is1 <--- Is .841 Is3 <--- Is .882 NTcn2 <--- NTcn .855 NTcn3 <--- NTcn .804 NTcn1 <--- NTcn .748 NTcn5 <--- NTcn .814 Rcx1 <--- Rcx .846 Rcx2 <--- Rcx .812 Rcx3 <--- Rcx .853 A2 <--- A .888 A1 <--- A .804 A3 <--- A .820 NTc2 <--- NTc .881 NTc1 <--- NTc .726 NTc3 <--- NTc .653 Rnt4 <--- Rnt .953 Rnt2 <--- Rnt .679 Rnt3 <--- Rnt .812 Rnt1 <--- Rnt .848 NTgm3 <--- NTgm .750 NTgm2 <--- NTgm .855 NTgm5 <--- NTgm .688 NTgm1 <--- NTgm .764 SquaredMultipleCorrelations: (Groupnumber 1 - Defaultmodel) Estimate NTgm .030 NTcn .016 NTtb .008 NTst .016 NTnn .014 NTch .022 Rcx .042 S .000 Rnt .324 A .225 Is .148 NTgm1 .584 NTgm5 .473 NTgm2 .731 NTgm3 .563 PL74 Estimate Rnt1 .720 Rnt3 .659 Rnt2 .461 Rnt4 .909 NTc3 .426 NTc1 .526 NTc2 .777 A3 .672 A1 .647 A2 .789 Rcx3 .728 Rcx2 .659 Rcx1 .715 NTcn5 .662 NTcn1 .559 NTcn3 .646 NTcn2 .731 Is3 .778 Is1 .707 Is2 .919 S1 .735 S2 .820 S3 .757 NTtb1 .702 NTtb2 .589 NTtb4 .661 NTtb5 .704 NTtb3 .571 NTst4 .610 NTst5 .668 NTst1 .549 NTst3 .515 NTst2 .652 NTnn5 .677 NTnn3 .618 NTnn1 .539 NTnn4 .668 NTnn2 .699 NTch1 .529 NTch5 .713 NTch4 .701 NTch2 .611 NTch3 .591 PL75 Matrices (Groupnumber 1 - Defaultmodel) Total Effects (Groupnumber 1 - Defaultmodel) NTc NTgm NTcn NTtb NTst NTnn NTch Rcx S Rnt A Is NTgm .142 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTcn .126 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTtb .087 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTst .119 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTnn .123 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTch .131 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 Rcx -.026 .043 .036 -.094 -.130 -.080 -.023 .000 .000 .000 .000 .000 Rnt -.005 .108 .024 -.141 -.033 -.022 -.038 .673 .000 .000 .000 .000 A .000 .000 .000 .000 .000 .000 .000 .000 .406 .000 .000 .000 Is -.001 -.006 .000 .007 -.003 -.002 .002 -.008 .276 -.077 .366 .000 Standardized TotalEffects (Groupnumber 1 - Defaultmodel) NTc NTgm NTcn NTtb NTst NTnn NTch Rcx S Rnt A Is NTgm .174 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTcn .128 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTtb .088 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTst .126 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTnn .120 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTch .148 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 Rcx -.029 .039 .039 -.104 -.138 -.092 -.023 .000 .000 .000 .000 .000 Rnt -.005 .082 .022 -.129 -.030 -.021 -.031 .558 .000 .000 .000 .000 A .000 .000 .000 .000 .000 .000 .000 .000 .475 .000 .000 .000 Is -.001 -.005 .000 .007 -.003 -.002 .002 -.007 .268 -.083 .304 .000 Direct Effects (Groupnumber 1 - Defaultmodel) NTc NTgm NTcn NTtb NTst NTnn NTch Rcx S Rnt A Is NTgm .142 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTcn .126 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTtb .087 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTst .119 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTnn .123 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTch .131 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 Rcx .000 .043 .036 -.094 -.130 -.080 -.023 .000 .000 .000 .000 .000 Rnt .000 .079 .000 -.077 .054 .033 -.023 .673 .000 .000 .000 .000 A .000 .000 .000 .000 .000 .000 .000 .000 .406 .000 .000 .000 Is .000 .000 .000 .000 .000 .000 .000 .044 .127 -.077 .366 .000 Standardized DirectEffects (Groupnumber 1 - Default odel) NTc NTgm NTcn NTtb NTst NTnn NTch Rcx S Rnt A Is NTgm .174 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTcn .128 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTtb .088 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTst .126 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 PL76 NTc NTgm NTcn NTtb NTst NTnn NTch Rcx S Rnt A Is NTnn .120 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTch .148 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 Rcx .000 .039 .039 -.104 -.138 -.092 -.023 .000 .000 .000 .000 .000 Rnt .000 .060 .000 -.070 .048 .031 -.019 .558 .000 .000 .000 .000 A .000 .000 .000 .000 .000 .000 .000 .000 .475 .000 .000 .000 Is .000 .000 .000 .000 .000 .000 .000 .039 .124 -.083 .304 .000 Indirect Effects (Groupnumber 1 - Default odel) NTc NTgm NTcn NTtb NTst NTnn NTch Rcx S Rnt A Is NTgm .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTcn .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTtb .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTst .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTnn .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTch .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 Rcx -.026 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 Rnt -.005 .029 .024 -.064 -.087 -.054 -.015 .000 .000 .000 .000 .000 A .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 Is -.001 -.006 .000 .007 -.003 -.002 .002 -.052 .149 .000 .000 .000 Standardized Indirect ffects (Groupnumber 1 - Default odel) NTc NTgm NTcn NTtb NTst NTnn NTch Rcx S Rnt A Is NTgm .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTcn .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTtb .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTst .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTnn .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 NTch .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 Rcx -.029 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 Rnt -.005 .022 .022 -.058 -.077 -.052 -.013 .000 .000 .000 .000 .000 A .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 Is -.001 -.005 .000 .007 -.003 -.002 .002 -.047 .144 .000 .000 .000 Model Fit Summary CMIN Model NPAR CMIN DF P CMIN/DF Defaultmodel 118 2378.431 1010 .000 2.355 Saturated model 1128 .000 0 Independence model 47 26033.615 1081 .000 24.083 RMR, GFI Model RMR GFI AGFI PGFI Defaultmodel .108 .893 .880 .799 Saturatedmodel .000 1.000 Independencemodel .219 .328 .299 .315 PL77 Baseline Comparisons Model NFI Delta1 RFI rho1 IFI Delta2 TLI rho2 CFI Defaultmodel .909 .902 .945 .941 .945 Saturatedmodel 1.000 1.000 1.000 Independencemodel .000 .000 .000 .000 .000 Parsimony-Adjusted Measures Model PRATIO PNFI PCFI Defaultmodel .934 .849 .883 Saturated model .000 .000 .000 Independence model 1.000 .000 .000 Model nghiên cứuP LO 90 HI 90 Default model 1368.431 1229.829 1514.691 Saturated model .000 .000 .000 Independence model 24952.615 24430.551 25481.047 FMIN Model FMIN F0 LO 90 HI 90 Defaultmodel 2.660 1.531 1.376 1.694 Saturatedmodel .000 .000 .000 .000 Independencemodel 29.120 27.911 27.327 28.502 RMSEA Model RMSEA LO 90 HI 90 PCLOSE Defaultmodel .039 .037 .041 1.000 Independence model .161 .159 .162 .000 AIC Model AIC BCC BIC CAIC Defaultmodel 2614.431 2627.821 3180.456 3298.456 Saturatedmodel 2256.000 2384.000 7666.817 8794.817 Independencemodel 26127.615 26132.948 26353.065 26400.065 ECVI Model ECVI LO 90 HI 90 MECVI Defaultmodel 2.924 2.769 3.088 2.939 Saturatedmodel 2.523 2.523 2.523 2.667 Independencemodel 29.226 28.642 29.817 29.231 HOELTER Model HOELTER .05 HOELTER .01 Defaultmodel 408 421 Independencemodel 40 41 PL78 KẾT QUẢ PHÂN TÍCH CỤM VÀ ANOVA PHÂN TÍCH CỤM Final Cluster Centers Cluster 1 2 3 Tt1 4.02 3.23 2.27 Tt2 4.05 3.37 2.71 Tt3 4.13 3.54 2.81 Tt5 3.53 2.59 1.80 Tt6 3.97 3.07 2.11 Tt7 3.90 2.89 1.92 Tt8 3.85 2.83 1.99 Tt9 3.68 2.83 2.05 Tt10 4.05 3.35 2.15 Tt11 3.71 3.13 2.14 Tt12 4.01 3.23 2.06 Tt13 3.89 3.07 2.07 ANOVA Cluster Error F Sig. Mean Square df Mean Square df Tt1 139.007 2 .579 892 240.088 .000 Tt2 83.418 2 .586 892 142.353 .000 Tt3 78.628 2 .547 892 143.685 .000 Tt5 144.445 2 .595 892 242.634 .000 Tt6 159.805 2 .391 892 408.976 .000 Tt7 182.852 2 .356 892 514.087 .000 Tt8 166.545 2 .588 892 283.424 .000 Tt9 125.166 2 .471 892 265.506 .000 Tt10 160.207 2 .432 892 370.775 .000 Tt11 110.185 2 .672 892 163.847 .000 Tt12 169.102 2 .420 892 402.527 .000 Tt13 149.487 2 .436 892 343.018 .000 PL79 Number ofCases in each Cluster Cluster 1 240.000 2 513.000 3 142.000 Valid 895.000 Missing .000 PHÂN TÍCH ANOVA Descriptives N Mean Std. Deviation Std. Error 95% Confidence IntervalforMean Minimum Maximum Lower Bound Upper Bound SumIc 1 240 3.6264 .78913 .05094 3.5260 3.7267 1.00 5.00 2 513 3.4834 .69425 .03065 3.4232 3.5436 1.00 5.00 3 142 2.9812 .93169 .07819 2.8267 3.1358 1.00 5.00 Total 895 3.4421 .78947 .02639 3.3903 3.4939 1.00 5.00 SumIs 1 240 3.3806 .86869 .05607 3.2701 3.4910 1.00 5.00 2 513 2.8447 .80034 .03534 2.7753 2.9141 1.00 4.00 3 142 2.4296 .88288 .07409 2.2831 2.5760 1.00 4.33 Total 895 2.9225 .88877 .02971 2.8642 2.9808 1.00 5.00 Test of Homogeneity of Variances Levene Statistic df1 df2 Sig. SumIc 5.316 2 892 .005 SumIs 5.582 2 892 .004 ANOVA Sum of Squares df Mean Square F Sig. SumIc Between Groups 39.189 2 19.595 33.742 .000 Within Groups 518.003 892 .581 Total 557.193 894 SumIs Between Groups 87.962 2 43.981 63.458 .000 Within Groups 618.222 892 .693 Total 706.184 894 PL80 Multiple Comparisons Tamhane Depend ent Variable (I) Cluster Numbe r of Case (J) Cluster Numbe r of Case Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Lower Bound Upper Bound SumIc 1 2 .14296 * .05945 .049 .0004 .2855 3 .64517 * .09332 .000 .4209 .8694 2 1 -.14296 * .05945 .049 -.2855 -.0004 3 .50221 * .08398 .000 .2999 .7045 3 1 -.64517 * .09332 .000 -.8694 -.4209 2 -.50221 * .08398 .000 -.7045 -.2999 SumIs 1 2 .53585 * .06628 .000 .3770 .6947 3 .95098 * .09292 .000 .7278 1.1741 2 1 -.53585 * .06628 .000 -.6947 -.3770 3 .41513 * .08208 .000 .2175 .6127 3 1 -.95098 * .09292 .000 -1.1741 -.7278 2 -.41513 * .08208 .000 -.6127 -.2175 *. The meandifference issignificant atthe 0.05level.

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