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
272 trang |
Chia sẻ: tueminh09 | Ngày: 09/02/2022 | Lượt xem: 371 | Lượt tải: 0
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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.