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Model Fit Summary CMIN

Model

NPAR	CMIN	DF	P	CMIN/DF
Default model	66	439.977	340	.000	1.294
Saturated model	406	.000	0
Independence model	28	12392.028	378	.000	32.783

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RMR, GFI

Model

RMR	GFI	AGFI	PGFI
Default model	.030	.966	.960	.809
Saturated model	.000	1.000
Independence model	.318	.358	.310	.333

Baseline Comparisons

Model

NFI Delta1	RFI rho1	IFI Delta2	TLI rho2	CFI
Default model	.964	.961	.992	.991	.992
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	.018	.013	.023	1.000
Independence model	.190	.188	.193	.000

Minimization:

.060
Miscellaneous:	2.335
Bootstrap:	4.605
Total:	7.000

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
Dongluc	<---	Hailong	.124	.048	2.548	.011
camket	<---	Hailong	.060	.024	2.565	.010
camket	<---	Dongluc	.043	.018	2.384	.017
trungthanh	<---	Dongluc	.200	.034	5.843	***
trungthanh	<---	Hailong	.208	.045	4.613	***
trungthanh	<---	camket	.164	.081	2.031	.042
Duytri	<---	trungthanh	.063	.025	2.509	.012
Duytri	<---	Hailong	.145	.030	4.784	***
Duytri	<---	camket	.108	.054	2.021	.043
Duytri	<---	Dongluc	.050	.023	2.158	.031
Rete1	<---	Duytri	1.000
Rete2	<---	Duytri	.938	.035	26.811	***
Rete3	<---	Duytri	.853	.036	23.894	***
Rete4	<---	Duytri	.873	.036	24.525	***
Rete5	<---	Duytri	.888	.039	23.056	***
Rete6	<---	Duytri	1.025	.041	25.068	***
WoMo1	<---	Dongluc	1.000
WoMo2	<---	Dongluc	.881	.030	29.597	***
WoMo3	<---	Dongluc	.813	.032	25.053	***
WoMo4	<---	Dongluc	.871	.030	28.659	***
WoMo5	<---	Dongluc	.947	.029	32.895	***
Emlo1	<---	trungthanh	1.000
Emlo2	<---	trungthanh	.930	.034	27.571	***
Emlo3	<---	trungthanh	.831	.035	23.581	***
Emlo4	<---	trungthanh	.895	.034	26.431	***
Emlo5	<---	trungthanh	1.001	.033	30.009	***
Com4	<---	camket	1.000
Com3	<---	camket	1.074	.081	13.244	***
Com2	<---	camket	1.040	.079	13.174	***
Com1	<---	camket	1.367	.095	14.451	***
JoSa8	<---	Hailong	1.000
JoSa7	<---	Hailong	1.007	.047	21.255	***
JoSa6	<---	Hailong	.965	.047	20.651	***
JoSa5	<---	Hailong	.907	.048	18.922	***
JoSa4	<---	Hailong	.923	.047	19.750	***
JoSa3	<---	Hailong	.935	.048	19.560	***
JoSa2	<---	Hailong	1.010	.047	21.280	***
JoSa1	<---	Hailong	1.119	.047	23.949	***

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

Estimate
Dongluc	<---	Hailong	.095

Estimate
camket	<---	Hailong	.103
camket	<---	Dongluc	.095
trungthanh	<---	Dongluc	.213
trungthanh	<---	Hailong	.170
trungthanh	<---	camket	.079
Duytri	<---	trungthanh	.097
Duytri	<---	Hailong	.182
Duytri	<---	camket	.080
Duytri	<---	Dongluc	.081
Rete1	<---	Duytri	.844
Rete2	<---	Duytri	.789
Rete3	<---	Duytri	.726
Rete4	<---	Duytri	.740
Rete5	<---	Duytri	.707
Rete6	<---	Duytri	.752
WoMo1	<---	Dongluc	.902
WoMo2	<---	Dongluc	.787
WoMo3	<---	Dongluc	.711
WoMo4	<---	Dongluc	.773
WoMo5	<---	Dongluc	.837
Emlo1	<---	trungthanh	.842
Emlo2	<---	trungthanh	.801
Emlo3	<---	trungthanh	.716
Emlo4	<---	trungthanh	.777
Emlo5	<---	trungthanh	.850
Com4	<---	camket	.572
Com3	<---	camket	.608
Com2	<---	camket	.603
Com1	<---	camket	.842
JoSa8	<---	Hailong	.735
JoSa7	<---	Hailong	.736
JoSa6	<---	Hailong	.716
JoSa5	<---	Hailong	.658
JoSa4	<---	Hailong	.686
JoSa3	<---	Hailong	.680
JoSa2	<---	Hailong	.737
JoSa1	<---	Hailong	.826

Squared Multiple Correlations: (Group number 1 - Default model)

Estimate
Dongluc		.009
camket		.021
trungthanh		.094

Estimate
Duytri		.076
JoSa1		.683
JoSa2		.543
JoSa3		.462
JoSa4		.471
JoSa5		.433
JoSa6		.513
JoSa7		.542
JoSa8		.540
Com1		.710
Com2		.364
Com3		.370
Com4		.327
Emlo5		.722
Emlo4		.604
Emlo3		.513
Emlo2		.641
Emlo1		.709
WoMo5		.700
WoMo4		.597
WoMo3		.505
WoMo2		.620
WoMo1		.813
Rete6		.566
Rete5		.500
Rete4		.548
Rete3		.527
Rete2		.623
Rete1		.713

Standardized Total Effects (Group number 1 - Default model)

Hailong	Dongluc	camket	trungthanh	Duytri
Dongluc	.095	.000	.000	.000	.000
camket	.112	.095	.000	.000	.000
trungthanh	.199	.221	.079	.000	.000
Duytri	.218	.110	.087	.097	.000
JoSa1	.826	.000	.000	.000	.000
JoSa2	.737	.000	.000	.000	.000
JoSa3	.680	.000	.000	.000	.000
JoSa4	.686	.000	.000	.000	.000
JoSa5	.658	.000	.000	.000	.000
JoSa6	.716	.000	.000	.000	.000
JoSa7	.736	.000	.000	.000	.000

Hailong	Dongluc	camket	trungthanh	Duytri
JoSa8	.735	.000	.000	.000	.000
Com1	.094	.080	.842	.000	.000
Com2	.067	.057	.603	.000	.000
Com3	.068	.057	.608	.000	.000
Com4	.064	.054	.572	.000	.000
Emlo5	.169	.188	.067	.850	.000
Emlo4	.155	.172	.061	.777	.000
Emlo3	.143	.158	.057	.716	.000
Emlo2	.160	.177	.063	.801	.000
Emlo1	.168	.186	.066	.842	.000
WoMo5	.079	.837	.000	.000	.000
WoMo4	.073	.773	.000	.000	.000
WoMo3	.067	.711	.000	.000	.000
WoMo2	.075	.787	.000	.000	.000
WoMo1	.085	.902	.000	.000	.000
Rete6	.164	.083	.066	.073	.752
Rete5	.154	.078	.062	.069	.707
Rete4	.162	.081	.065	.072	.740
Rete3	.158	.080	.064	.070	.726
Rete2	.172	.087	.069	.077	.789
Rete1	.184	.093	.074	.082	.844

Standardized Direct Effects (Group number 1 - Default model)

Hailong	Dongluc	camket	trungthanh	Duytri
Dongluc	.095	.000	.000	.000	.000
camket	.103	.095	.000	.000	.000
trungthanh	.170	.213	.079	.000	.000
Duytri	.182	.081	.080	.097	.000
JoSa1	.826	.000	.000	.000	.000
JoSa2	.737	.000	.000	.000	.000
JoSa3	.680	.000	.000	.000	.000
JoSa4	.686	.000	.000	.000	.000
JoSa5	.658	.000	.000	.000	.000
JoSa6	.716	.000	.000	.000	.000
JoSa7	.736	.000	.000	.000	.000
JoSa8	.735	.000	.000	.000	.000
Com1	.000	.000	.842	.000	.000
Com2	.000	.000	.603	.000	.000
Com3	.000	.000	.608	.000	.000
Com4	.000	.000	.572	.000	.000
Emlo5	.000	.000	.000	.850	.000
Emlo4	.000	.000	.000	.777	.000
Emlo3	.000	.000	.000	.716	.000

Hailong	Dongluc	camket	trungthanh	Duytri
Emlo2	.000	.000	.000	.801	.000
Emlo1	.000	.000	.000	.842	.000
WoMo5	.000	.837	.000	.000	.000
WoMo4	.000	.773	.000	.000	.000
WoMo3	.000	.711	.000	.000	.000
WoMo2	.000	.787	.000	.000	.000
WoMo1	.000	.902	.000	.000	.000
Rete6	.000	.000	.000	.000	.752
Rete5	.000	.000	.000	.000	.707
Rete4	.000	.000	.000	.000	.740
Rete3	.000	.000	.000	.000	.726
Rete2	.000	.000	.000	.000	.789
Rete1	.000	.000	.000	.000	.844

Standardized Indirect Effects (Group number 1 - Default model)

Hailong	Dongluc	camket	trungthanh	Duytri
Dongluc	.000	.000	.000	.000	.000
camket	.009	.000	.000	.000	.000
trungthanh	.029	.007	.000	.000	.000
Duytri	.036	.029	.008	.000	.000
JoSa1	.000	.000	.000	.000	.000
JoSa2	.000	.000	.000	.000	.000
JoSa3	.000	.000	.000	.000	.000
JoSa4	.000	.000	.000	.000	.000
JoSa5	.000	.000	.000	.000	.000
JoSa6	.000	.000	.000	.000	.000
JoSa7	.000	.000	.000	.000	.000
JoSa8	.000	.000	.000	.000	.000
Com1	.094	.080	.000	.000	.000
Com2	.067	.057	.000	.000	.000
Com3	.068	.057	.000	.000	.000
Com4	.064	.054	.000	.000	.000
Emlo5	.169	.188	.067	.000	.000
Emlo4	.155	.172	.061	.000	.000
Emlo3	.143	.158	.057	.000	.000
Emlo2	.160	.177	.063	.000	.000
Emlo1	.168	.186	.066	.000	.000
WoMo5	.079	.000	.000	.000	.000
WoMo4	.073	.000	.000	.000	.000
WoMo3	.067	.000	.000	.000	.000
WoMo2	.075	.000	.000	.000	.000
WoMo1	.085	.000	.000	.000	.000
Rete6	.164	.083	.066	.073	.000

Hailong	Dongluc	camket	trungthanh	Duytri
Rete5	.154	.078	.062	.069	.000
Rete4	.162	.081	.065	.072	.000
Rete3	.158	.080	.064	.070	.000
Rete2	.172	.087	.069	.077	.000
Rete1	.184	.093	.074	.082	.000

Parameter

SE	SE-SE	Mean	Bias	SE-Bias
Dongluc	<---	Hailong	.049	.002	.123	.000	.002
camket	<---	Hailong	.025	.001	.061	.001	.001
camket	<---	Dongluc	.017	.001	.042	.000	.001
trungthanh	<---	Dongluc	.038	.001	.196	-.004	.002
trungthanh	<---	Hailong	.046	.001	.207	-.001	.002
trungthanh	<---	camket	.078	.002	.164	.000	.003
Duytri	<---	trungthanh	.026	.001	.064	.001	.001
Duytri	<---	Hailong	.030	.001	.144	-.002	.001
Duytri	<---	camket	.054	.002	.106	-.002	.002
Duytri	<---	Dongluc	.024	.001	.050	.000	.001
Rete1	<---	Duytri	.000	.000	1.000	.000	.000
Rete2	<---	Duytri	.040	.001	.939	.002	.002
Rete3	<---	Duytri	.038	.001	.855	.002	.002
Rete4	<---	Duytri	.040	.001	.875	.002	.002
Rete5	<---	Duytri	.048	.002	.888	.000	.002
Rete6	<---	Duytri	.045	.001	1.024	.000	.002
WoMo1	<---	Dongluc	.000	.000	1.000	.000	.000
WoMo2	<---	Dongluc	.035	.001	.879	-.002	.002
WoMo3	<---	Dongluc	.036	.001	.814	.001	.002
WoMo4	<---	Dongluc	.036	.001	.872	.001	.002
WoMo5	<---	Dongluc	.033	.001	.949	.002	.001
Emlo1	<---	trungthanh	.000	.000	1.000	.000	.000
Emlo2	<---	trungthanh	.036	.001	.932	.002	.002
Emlo3	<---	trungthanh	.037	.001	.830	-.001	.002
Emlo4	<---	trungthanh	.037	.001	.896	.001	.002
Emlo5	<---	trungthanh	.033	.001	1.004	.003	.001
Com4	<---	camket	.000	.000	1.000	.000	.000
Com3	<---	camket	.099	.003	1.081	.008	.004
Com2	<---	camket	.091	.003	1.044	.004	.004
Com1	<---	camket	.103	.003	1.367	.000	.005
JoSa8	<---	Hailong	.000	.000	1.000	.000	.000
JoSa7	<---	Hailong	.044	.001	1.004	-.003	.002
JoSa6	<---	Hailong	.044	.001	.965	.000	.002
JoSa5	<---	Hailong	.047	.001	.904	-.004	.002
JoSa4	<---	Hailong	.048	.002	.921	-.001	.002

SE	SE-SE	Mean	Bias	SE-Bias
JoSa3	<---	Hailong	.049	.002	.933	-.003	.002
JoSa2	<---	Hailong	.045	.001	1.007	-.003	.002
JoSa1	<---	Hailong	.044	.001	1.114	-.005	.002

Parameter

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