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Reliability Statistics

Cronbach's Alpha

N of Items

.899

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Item-Total Statistics

Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item- Total Correlation	Cronbach's Alpha if Item Deleted
WoMo1	12.47	17.838	.837	.858
WoMo2	12.54	18.598	.739	.880
WoMo3	12.53	18.977	.674	.894
WoMo4	12.52	18.656	.725	.883
WoMo5	12.53	18.126	.780	.870

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Reliability Statistics

Cronbach's Alpha

N of Items
.890	6

Item-Total Statistics

Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item- Total Correlation	Cronbach's Alpha if Item Deleted
Rete1	19.65	11.297	.782	.859
Rete2	19.65	11.503	.735	.867
Rete3	19.66	11.810	.680	.875
Rete4	19.66	11.735	.692	.873
Rete5	19.68	11.600	.662	.878
Rete6	19.72	10.997	.704	.872

Factor Analysis

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.		.898
	Approx. Chi-Square	12248.209
Bartlett's Test of Sphericity	df	378
	Sig.	.000

Total Variance Explained

Factor

Initial Eigenvalues			Extraction Sums of Squared Loadings
Total	% of Variance	Cumulative %	Total	% of Variance	Cumulative %
1	6.012	21.473	21.473	5.594	19.979	19.979
2	3.773	13.473	34.946	3.379	12.069	32.047
3	3.300	11.784	46.730	2.890	10.320	42.367
4	2.726	9.734	56.464	2.378	8.493	50.861
5	2.199	7.853	64.318	1.687	6.024	56.885
6	.731	2.611	66.929
7	.657	2.345	69.274
8	.633	2.259	71.533
9	.595	2.124	73.656
10	.527	1.882	75.539
11	.509	1.816	77.355
12	.499	1.780	79.135
13	.484	1.730	80.865
14	.470	1.677	82.542
15	.465	1.659	84.201
16	.433	1.548	85.749
17	.414	1.479	87.228
18	.408	1.457	88.685
19	.400	1.430	90.115
20	.375	1.339	91.455
21	.362	1.293	92.748
22	.342	1.220	93.968
23	.335	1.197	95.165
24	.306	1.093	96.258
25	.298	1.063	97.321
26	.292	1.043	98.364
27	.254	.908	99.272
28	.204	.728	100.000

Total Variance Explained

Factor

Rotation Sums of Squared Loadings
Total
1	4.547
2	3.864
3	3.562
4	3.687
5	1.983
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28

Extraction Method: Principal Axis Factoring.

a. When factors are correlated, sums of squared loadings cannot be added to obtain a total variance.

Pattern Matrixa

Factor
1	2	3	4	5
JoSa1	.830
JoSa8	.766
JoSa7	.741
JoSa2	.730
JoSa6	.702
JoSa4	.684
JoSa3	.672
JoSa5	.643
Rete1		.843
Rete2		.794
Rete6		.745
Rete4		.733
Rete3		.729
Rete5		.715
WoMo1			.912
WoMo5			.844
WoMo2			.777
WoMo4			.767
WoMo3			.706
Emlo5				.846
Emlo1				.843
Emlo2				.809
Emlo4				.769
Emlo3				.718
Com1					.848
Com2					.605
Com3					.597
Com4					.574

Extraction Method: Principal Axis Factoring.

Rotation Method: Promax with Kaiser Normalization.a

a. Rotation converged in 5 iterations.

Factor Correlation Matrix

Factor

1	2	3	4	5
1	1.000	.216	.096	.196	.124
2	.216	1.000	.137	.164	.122
3	.096	.137	1.000	.244	.104
4	.196	.164	.244	1.000	.122
5	.124	.122	.104	.122	1.000

Extraction Method: Principal Axis Factoring.

Rotation Method: Promax with Kaiser Normalization.

PHỤ LỤC 11

KẾT QUẢ CFA CHO MÔ HÌNH TỚI HẠN

Model Fit Summary CMIN

Model

NPAR	CMIN	DF	P	CMIN/DF
Default model	50	305.397	203	.000	1.504
Saturated model	253	.000	0
Independence model	22	9559.383	231	.000	41.383

RMR, GFI

Model

RMR	GFI	AGFI	PGFI
Default model	.034	.970	.963	.778
Saturated model	.000	1.000
Independence model	.384	.370	.310	.338

Baseline Comparisons

Model

NFI Delta1	RFI rho1	IFI Delta2	TLI rho2	CFI
Default model	.968	.964	.989	.988	.989
Saturated model	1.000		1.000		1.000
Independence model	.000	.000	.000	.000	.000

RMSEA

Model

RMSEA	LO 90	HI 90	PCLOSE
Default model	.024	.018	.029	1.000
Independence model	.215	.211	.218	.000

Regression Weights: (Group number 1 - Default model)

WoMo1

<---	Dongluc	1.000
WoMo2	<---	Dongluc	.880	.030	29.580	***
WoMo3	<---	Dongluc	.813	.032	25.052	***
WoMo4	<---	Dongluc	.870	.030	28.675	***
WoMo5	<---	Dongluc	.947	.029	32.909	***
Emlo1	<---	trungthanh	1.000
Emlo2	<---	trungthanh	.930	.034	27.570	***
Emlo3	<---	trungthanh	.831	.035	23.595	***
Emlo4	<---	trungthanh	.895	.034	26.422	***
Emlo5	<---	trungthanh	1.001	.033	29.990	***
Com4	<---	camket	1.000

<---	camket	1.070	.081	13.245	***
Com2	<---	camket	1.038	.079	13.185		***
Com1	<---	camket	1.365	.094	14.450		***
JoSa8	<---	Hailong	1.000
JoSa7	<---	Hailong	1.005	.047	21.257		***
JoSa6	<---	Hailong	.963	.047	20.654		***
JoSa5	<---	Hailong	.905	.048	18.923		***
JoSa4	<---	Hailong	.921	.047	19.767		***
JoSa3	<---	Hailong	.933	.048	19.549		***
JoSa2	<---	Hailong	1.009	.047	21.316		***
JoSa1	<---	Hailong	1.119	.047	24.015	***

Com3

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

Estimate
WoMo1	<---	Dongluc	.902
WoMo2	<---	Dongluc	.787
WoMo3	<---	Dongluc	.710
WoMo4	<---	Dongluc	.773
WoMo5	<---	Dongluc	.837
Emlo1	<---	trungthanh	.842
Emlo2	<---	trungthanh	.801
Emlo3	<---	trungthanh	.716
Emlo4	<---	trungthanh	.777
Emlo5	<---	trungthanh	.850
Com4	<---	camket	.573
Com3	<---	camket	.607
Com2	<---	camket	.603
Com1	<---	camket	.843
JoSa8	<---	Hailong	.736
JoSa7	<---	Hailong	.735
JoSa6	<---	Hailong	.715
JoSa5	<---	Hailong	.658
JoSa4	<---	Hailong	.686
JoSa3	<---	Hailong	.679
JoSa2	<---	Hailong	.737
JoSa1	<---	Hailong	.827

Covariances: (Group number 1 - Default model)

Estimate	S.E.	C.R.	P	Label
trungthanh	<-->	camket	.063	.021	2.971	.003
Dongluc	<-->	camket	.058	.022	2.606	.009
camket	<-->	Hailong	.048	.017	2.761	.006
Dongluc	<-->	trungthanh	.276	.045	6.177	***
Dongluc	<-->	Hailong	.090	.036	2.531	.011

Estimate	S.E.	C.R.	P	Label
trungthanh	<-->	Hailong	.178	.035	5.148	***

Correlations: (Group number 1 - Default model)

Estimate
trungthanh	<-->	camket	.120
Dongluc	<-->	camket	.104
camket	<-->	Hailong	.112
Dongluc	<-->	trungthanh	.238
Dongluc	<-->	Hailong	.095
trungthanh	<-->	Hailong	.199

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