Phân Tích Nhân Tố Khẳng Định Cfa 83428

Pattern Matrixa

Factor
1	2	3	4	5	6	7	8	9	10	11	12
VTRR13	1.033
VTRR7	.897
VTRR10	.889
VTRR9	.802
VTRR8	.787
VTRR12	.752
VTRR11	.711
CKTH15		1.003
CKTH19		.845
CKTH14		.759
CKTH18		.755
CKTH16		.753
CKTH20		.752
CKTH17		.744
PT38			.957
PT36			.894
PT35			.884
PT37			.872
PT34			.866
KTTH1				.839
KTTH2				.802
KTTH3				.740
KTTH6				.719
KTTH4				.705
KTTH5				.689
TG30					.866
TG29					.841
TG33					.785
TG31					.766
TG32					.764
CN27						.911
CN28						.895
CN26						.892
CN25						.892
LV22							.970
LV24							.913
LV21							.865
LV23							.773
DM40								.783
DM43								.740

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Factor
	1	2	3	4	5	6	7	8	9	10	11	12
DM39								.729
DM41								.709
DM42								.678
HH53									.756
HH54									.731
HH55									.714
HH51									.623
HH52									.599
GTTH59										.828
GTTH57										.813
GTTH56										.786
GTTH58										.774
DT46											.812
DT45											.737
DT44											.681
DT47											.665
DH50												.786
DH48												.751
DH49												.738

Extraction Method: Principal Axis Factoring.

Rotation Method: Promax with Kaiser Normalization.

a. Rotation converged in 6 iterations.

Structure Matrix

Factor
1	2	3	4	5	6	7	8	9	10	11	12
VTRR13	.980
VTRR7	.890
VTRR10	.878
VTRR8	.812
VTRR9	.807
VTRR12	.790
VTRR11	.752
CKTH15		.951
CKTH19		.830
CKTH16		.785
CKTH18		.776
CKTH17		.769
CKTH14		.764
CKTH20		.764
PT38			.961
PT35			.887
PT36			.886
PT37			.882
PT34			.862
KTTH1				.827
KTTH2				.789
KTTH3				.740
KTTH4				.732
KTTH6				.721
KTTH5				.688
TG30					.853
TG29					.848
TG31					.783
TG33					.781
TG32					.750
CN27						.910
CN28						.903
CN26						.893
CN25						.888
LV22							.961
LV24							.911
LV21							.863
LV23							.782
DM40								.772
DM43								.745

Factor
	1	2	3	4	5	6	7	8	9	10	11	12
DM39								.733
DM41								.702
DM42								.689
HH53									.762
HH54									.729
HH55									.723
HH51									.618
HH52									.590
GTTH56										.834
GTTH57										.833
GTTH58										.827
GTTH59										.823
DT46											.800
DT45											.756
DT44											.744
DT47											.626
DH50												.779
DH48												.760
DH49												.736

Extraction Method: Principal Axis Factoring.

Rotation Method: Promax with Kaiser Normalization.

Factor Correlation Matrix

Fact or

1	2	3	4	5	6	7	8	9	10	11	12
1	1.000	.230	.259	.229	.257	-.034	.190	.009	.018	.434	.346	.064
2	.230	1.000	.107	.175	.167	.093	.167	-.077	.006	.368	.275	.088
3	.259	.107	1.000	.000	.092	-.040	-.045	.015	-.030	.150	.125	.074
4	.229	.175	.000	1.000	.255	.028	.075	-.100	.031	.456	.278	.010
5	.257	.167	.092	.255	1.000	-.054	.048	-.119	-.004	.315	.277	.110
6	-.034	.093	-.040	.028	-.054	1.000	.054	-.206	.005	.065	-.012	.014
7	.190	.167	-.045	.075	.048	.054	1.000	-.109	.072	.221	.131	.003
8	.009	-.077	.015	-.100	-.119	-.206	-.109	1.000	.040	-.086	-.152	.088
9	.018	.006	-.030	.031	-.004	.005	.072	.040	1.000	.070	.035	-.043
10	.434	.368	.150	.456	.315	.065	.221	-.086	.070	1.000	.450	.208
11	.346	.275	.125	.278	.277	-.012	.131	-.152	.035	.450	1.000	.074
12	.064	.088	.074	.010	.110	.014	.003	.088	-.043	.208	.074	1.000

Extraction Method: Principal Axis Factoring.

Rotation Method: Promax with Kaiser Normalization.

PHỤ LỤC 12: PHÂN TÍCH NHÂN TỐ KHẲNG ĐỊNH CFA

Estimates (Group number 1 - Default model)

Scalar Estimates (Group number 1 - Default model) Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)

Estimate	S.E.	C.R.	P	Label
PT	<---	VHDN	1.000
TG	<---	VHDN	1.715	.395	4.347	***
CN	<---	VHDN	.190	.163	1.166	.044
LV	<---	VHDN	.937	.252	3.717	***
DM	<---	VHDN	.170	.185	-.916	.059
HH	<---	THNB	1.000
DT	<---	THNB	1.126	6.288	1.133	.057
DH	<---	THNB	.934	3.580	1.099	.072
VTRR13	<---	VTRR	1.000
VTRR7	<---	VTRR	.914	.021	44.091	***
VTRR10	<---	VTRR	.877	.021	40.942	***
VTRR9	<---	VTRR	.791	.026	30.579	***
VTRR8	<---	VTRR	.823	.027	30.880	***
VTRR12	<---	VTRR	.795	.028	28.355	***
VTRR11	<---	VTRR	.749	.030	25.311	***
CKTH15	<---	CKTH	1.000
CKTH19	<---	CKTH	.954	.031	31.027	***
CKTH18	<---	CKTH	.912	.035	25.749	***
CKTH14	<---	CKTH	.836	.033	25.317	***
CKTH16	<---	CKTH	.899	.034	26.531	***
CKTH20	<---	CKTH	.864	.035	24.359	***
CKTH17	<---	CKTH	.878	.035	25.346	***
PT38	<---	PT	1.000
PT36	<---	PT	.873	.022	40.599	***
PT35	<---	PT	.845	.023	37.438	***
PT37	<---	PT	.867	.023	38.416	***
PT34	<---	PT	.848	.025	34.207	***
KTTH1	<---	KTTH	1.000
KTTH2	<---	KTTH	.998	.048	20.656	***
KTTH3	<---	KTTH	.983	.050	19.462	***
KTTH6	<---	KTTH	.906	.049	18.604	***
KTTH4	<---	KTTH	.946	.050	19.086	***
KTTH5	<---	KTTH	.798	.046	17.413	***
TG30	<---	TG	1.000

Estimate	S.E.	C.R.	P	Label
TG29	<---	TG	1.015	.041	24.726	***
TG33	<---	TG	.924	.042	22.000	***
TG31	<---	TG	.870	.040	21.774	***
TG32	<---	TG	.872	.043	20.494	***
CN27	<---	CN	1.000
CN28	<---	CN	1.000	.029	34.184	***
CN26	<---	CN	.982	.030	33.074	***
CN25	<---	CN	.984	.030	32.676	***
LV22	<---	LV	1.000
LV24	<---	LV	.934	.020	47.798	***
LV21	<---	LV	.828	.026	32.350	***
LV23	<---	LV	.732	.028	25.831	***
DM40	<---	DM	1.000
DM43	<---	DM	.843	.050	16.967	***
DM39	<---	DM	.864	.051	17.042	***
DM41	<---	DM	.825	.051	16.018	***
DM42	<---	DM	.797	.052	15.455	***
HH53	<---	HH	1.000
HH54	<---	HH	.984	.059	16.769	***
HH55	<---	HH	.957	.057	16.908	***
HH51	<---	HH	.682	.053	12.807	***
HH52	<---	HH	.637	.054	11.733	***
GTTH59	<---	GTTH	1.000
GTTH57	<---	GTTH	1.013	.045	22.656	***
GTTH56	<---	GTTH	1.033	.045	22.739	***
GTTH58	<---	GTTH	1.038	.046	22.686	***
DT47	<---	DT	1.000
DT46	<---	DT	1.640	.119	13.798	***
DT44	<---	DT	1.585	.118	13.449	***
DT45	<---	DT	1.457	.109	13.425	***
DH50	<---	DH	1.000
DH48	<---	DH	.965	.064	15.060	***
DH49	<---	DH	.910	.061	14.874	***

Standardized Regression Weights: (Group number 1 - Default model)

Estimate
PT	<---	VHDN	.157
TG	<---	VHDN	.259
CN	<---	VHDN	.037
LV	<---	VHDN	.163
DM	<---	VHDN	.030

Estimate
HH	<---	THNB	.040
DT	<---	THNB	.410
DH	<---	THNB	.146
VTRR13	<---	VTRR	.980
VTRR7	<---	VTRR	.900
VTRR10	<---	VTRR	.884
VTRR9	<---	VTRR	.805
VTRR8	<---	VTRR	.808
VTRR12	<---	VTRR	.780
VTRR11	<---	VTRR	.741
CKTH15	<---	CKTH	.945
CKTH19	<---	CKTH	.841
CKTH18	<---	CKTH	.774
CKTH14	<---	CKTH	.767
CKTH16	<---	CKTH	.785
CKTH20	<---	CKTH	.752
CKTH17	<---	CKTH	.768
PT38	<---	PT	.965
PT36	<---	PT	.896
PT35	<---	PT	.875
PT37	<---	PT	.882
PT34	<---	PT	.850
KTTH1	<---	KTTH	.825
KTTH2	<---	KTTH	.781
KTTH3	<---	KTTH	.746
KTTH6	<---	KTTH	.721
KTTH4	<---	KTTH	.735
KTTH5	<---	KTTH	.684
TG30	<---	TG	.851
TG29	<---	TG	.849
TG33	<---	TG	.784
TG31	<---	TG	.779
TG32	<---	TG	.747
CN27	<---	CN	.909
CN28	<---	CN	.904
CN26	<---	CN	.892
CN25	<---	CN	.887
LV22	<---	LV	.974
LV24	<---	LV	.935
LV21	<---	LV	.832
LV23	<---	LV	.757

Estimate
DM40	<---	DM	.776
DM43	<---	DM	.738
DM39	<---	DM	.741
DM41	<---	DM	.697
DM42	<---	DM	.674
HH53	<---	HH	.802
HH54	<---	HH	.739
HH55	<---	HH	.746
HH51	<---	HH	.567
HH52	<---	HH	.521
GTTH59	<---	GTTH	.815
GTTH57	<---	GTTH	.834
GTTH56	<---	GTTH	.836
GTTH58	<---	GTTH	.835
DT47	<---	DT	.606
DT46	<---	DT	.794
DT44	<---	DT	.756
DT45	<---	DT	.753
DH50	<---	DH	.784
DH48	<---	DH	.759
DH49	<---	DH	.729

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