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262

HDKS2

.707	-.363
MT6	.704
HDKS6.1	.702	-.353
HDKS6.2	.700	-.425
TT3	.692		-.384		.393
HDKS3	.689	-.415
HDKS4	.685	-.477
TT1	.684				.316
TT4	.682		-.331		.379
HDKS1	.678
TT2	.672		-.401		.334
HDKS6.3	.647	-.439
HDKS6.4	.645	-.381
RR7	.605	.428
RR8	.602	.372
GS1	.562			.446
GS2	.555			.484
RR9	.538	.349
RR2	.511
RR6	.507	.376
GS5	.506			.500
RR5	.480	.341		-.314
RR1	.464		.326
RR4	.380
RR3	.316
GS3	.540	.347		.638
GS4	.524			.528

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Extraction Method: Principal Axis Factoring.

a. 5 factors extracted. 7 iterations required.

263

Pattern Matrixa

Factor
1	2	3	4	5
HDKS4	.891
HDKS3	.858
HDKS6.3	.857
HDKS6.2	.849
HDKS5	.816
HDKS2	.811
HDKS6.4	.800
HDKS6.1	.788
HDKS1	.601
RR7		.758
RR5		.754
RR1		.732
RR6		.723
RR8		.674
RR9		.661
RR2		.639
RR3		.600
RR4		.532
MT1			.937
MT3			.930
MT5			.873
MT2			.849
MT4			.845
MT6			.733
GS3				.970
GS4				.809
GS2				.771
GS5				.764
GS1				.698
TT3					.897
TT4					.843
TT2					.831
TT1					.740
TT5					.730

Extraction Method: Principal Axis Factoring.

Rotation Method: Promax with Kaiser Normalization.

a. Rotation converged in 6 iterations.

264

Structure Matrix

Factor
1	2	3	4	5
HDKS4	.858	.333	.477	.331	.451
HDKS6.2	.847	.366	.509	.365	.436
HDKS5	.846	.379	.524	.366	.490
HDKS3	.843	.390	.483	.344	.420
HDKS2	.834	.441	.466	.367	.473
HDKS6.1	.820	.438	.475	.360	.469
HDKS6.3	.816	.331	.430	.333	.414
HDKS6.4	.788	.362	.429	.348	.410
HDKS1	.719	.419	.506	.413	.464
RR7	.365	.808	.457	.475	.360
RR8	.386	.758	.458	.477	.359
RR6		.722	.414	.332
RR5		.712	.361		.303
RR9	.350	.710	.389	.427	.304
RR1	.320	.689	.326
RR2	.350	.670	.371	.336	.316
RR4		.522
RR3		.520
MT1	.543	.486	.939	.461	.644
MT5	.538	.529	.924	.472	.653
MT3	.519	.416	.917	.461	.635
MT4	.545	.452	.878	.435	.614
MT2	.480	.446	.867	.491	.595
MT6	.494	.413	.793	.406	.576
GS3	.325	.380	.392	.904	.323
GS4	.320	.352	.417	.797	.331
GS2	.355	.405	.425	.794	.354
GS5	.328	.327	.376	.753	.356
GS1	.396	.395	.431	.749	.353
TT3	.471	.375	.608	.368	.893
TT2	.429	.376	.621	.362	.858
TT4	.457	.410	.588	.380	.855
TT5	.515	.421	.656	.481	.851
TT1	.526	.365	.587	.351	.813

Extraction Method: Principal Axis Factoring.

Rotation Method: Promax with Kaiser Normalization.

265

Factor Correlation Matrix

Factor

1	2	3	4	5
1	1.000	.457	.571	.427	.538
2	.457	1.000	.515	.477	.428
3	.571	.515	1.000	.511	.678
4	.427	.477	.511	1.000	.428
5	.538	.428	.678	.428	1.000

Extraction Method: Principal Axis Factoring.

Rotation Method: Promax with Kaiser Normalization.

266

PHỤ LỤC 9: KẾT QUẢ CHẠY CFA

267

82

Number of variables in your model:

Number of observed variables: 38

Number of unobserved variables: 44

Number of exogenous variables: 44

Number of endogenous variables: 38

Weights	Covariances	Variances	Means	Intercepts	Total
Fixed	44	0	0	0	0	44
Labeled	0	0	0	0	0	0
Unlabeled	32	22	44	0	0	98
Total	76	22	44	0	0	142

Number of distinct sample moments:

741
Number of distinct parameters to be estimated:	98
Degrees of freedom (741 - 98):	643

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
HDKS4	<---	HDKS	1.000
HDKS6.3	<---	HDKS	.960	.030	32.030	***
HDKS3	<---	HDKS	.957	.054	17.744	***
HDKS6.2	<---	HDKS	1.018	.056	18.034	***
HDKS2	<---	HDKS	.919	.052	17.677	***
HDKS5	<---	HDKS	.997	.053	18.681	***
HDKS6.4	<---	HDKS	.923	.055	16.702	***
HDKS6.1	<---	HDKS	.939	.054	17.253	***

268

Estimate	S.E.	C.R.	P	Label
HDKS1	<---	HDKS	1.020	.065	15.583	***
RR6	<---	RR	1.000
RR7	<---	RR	1.147	.083	13.809	***
RR5	<---	RR	.862	.061	14.075	***
RR1	<---	RR	.936	.086	10.861	***
RR9	<---	RR	.996	.078	12.700	***
RR8	<---	RR	1.113	.083	13.354	***
RR3	<---	RR	.847	.107	7.921	***
RR2	<---	RR	.959	.087	10.969	***
RR4	<---	RR	.925	.106	8.726	***
MT1	<---	MT	1.000
MT5	<---	MT	1.022	.029	35.738	***
MT3	<---	MT	.933	.030	31.224	***
MT4	<---	MT	.895	.030	30.097	***
MT2	<---	MT	.931	.035	26.218	***
MT6	<---	MT	.849	.039	21.734	***
GS3	<---	GS	1.000
GS2	<---	GS	.924	.049	18.829	***
GS4	<---	GS	.914	.048	19.180	***
GS5	<---	GS	.905	.052	17.553	***
GS1	<---	GS	.857	.050	17.109	***
TT3	<---	TT	1.000
TT2	<---	TT	1.010	.046	22.105	***
TT5	<---	TT	.944	.041	22.842	***
TT4	<---	TT	1.036	.047	22.161	***
TT1	<---	TT	.961	.048	20.033	***

269

Estimate	S.E.	C.R.	P	Label
HQ1	<---	HQ	1.000
HQ3	<---	HQ	1.030	.048	21.674	***
HQ2	<---	HQ	.942	.062	15.180	***
HQ4	<---	HQ	1.046	.065	16.030	***

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

Estimate
HDKS4	<---	HDKS	.829
HDKS6.3	<---	HDKS	.785
HDKS3	<---	HDKS	.813
HDKS6.2	<---	HDKS	.822
HDKS2	<---	HDKS	.810
HDKS5	<---	HDKS	.842
HDKS6.4	<---	HDKS	.782
HDKS6.1	<---	HDKS	.797
HDKS1	<---	HDKS	.741
RR6	<---	RR	.682
RR7	<---	RR	.837
RR5	<---	RR	.663
RR1	<---	RR	.637
RR9	<---	RR	.758
RR8	<---	RR	.804
RR3	<---	RR	.457
RR2	<---	RR	.645
RR4	<---	RR	.504
MT1	<---	MT	.951
MT5	<---	MT	.932

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