Kiểm Định Mô Hình Lý Thuyết Bằng Cbsem

RMSEA

Model

RMSEA

LO 90

HI 90

PCLOSE

Default model

,049

,042

,056

,600

Independence model

,198

,193

,203

,000

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Nhóm Các Yếu Tố Tác Động Đến Kết Quả Kinh Doanh
= “Hoàn Toàn Không Đồng Ý”, 2 = “Rất Không Đồng Ý”, 3 = “Không Đồng Ý”, 4 = “Phân Vân”, 5 = “Đồng Ý”, 6 = “Rất Đồng Ý” Và 7 = “Hoàn Toàn
Tác động của vốn xã hội đối với kết quả kinh doanh của doanh nghiệp - trường hợp nghiên cứu ngành Dệt may khu vực phía Nam, Việt Nam - 32
Kết Quả Phân Tích Độ Tin Cậy Thang Đo Chính Thức
Tác động của vốn xã hội đối với kết quả kinh doanh của doanh nghiệp - trường hợp nghiên cứu ngành Dệt may khu vực phía Nam, Việt Nam - 35
Tác động của vốn xã hội đối với kết quả kinh doanh của doanh nghiệp - trường hợp nghiên cứu ngành Dệt may khu vực phía Nam, Việt Nam - 36

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AIC

Model

AIC	BCC	BIC	CAIC
Default model	762,807	781,128	1057,221	1137,221
Saturated model	870,000	969,618	2470,875	2905,875
Independence model	5125,125	5131,766	5231,850	5260,850

ECVI

Model

ECVI	LO 90	HI 90	MECVI
Default model	2,612	2,393	2,858	2,675
Saturated model	2,979	2,979	2,979	3,321
Independence model	17,552	16,777	18,349	17,575

HOELTER

Model

HOELTER HOELTER

.05 .01

Default model

Independence model

194 204

27 28

CBSEM standardized

8.3. KIỂM ĐỊNH MÔ HÌNH LÝ THUYẾT BẰNG CBSEM

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

Regression Weights: (Group number 1 Default model)

Estimate	S.E.	C.R.	P Label
VXBN	<	VXLD	,150	,049	3,080	,002
VXBT	<	VXLD	,109	,037	2,941	,003
TTKT	<	VXBN	,421	,063	6,634	***
TTKT	<	VXBT	,283	,070	4,028	***
DMSP	<	VXBN	,449	,086	5,221	***
DMSP	<	VXBT	,498	,100	4,987	***
DMSP	<	TTKT	,331	,112	2,948	,003
HHNN	<	VXLD	,922	,048	19,308	***
DTKD	<	VXLD	1,048	,048	21,949	***
DGNP	<	VXLD	1,000
TTKD	<	DMSP	,251	,073	3,454	***
VXBN5	<	VXBN	1,000
VXBN4	<	VXBN	1,069	,084	12,653	***
VXBN3	<	VXBN	1,113	,092	12,115	***
VXBN2	<	VXBN	,900	,083	10,790	***
VXBN1	<	VXBN	,895	,092	9,768	***
VXBT6	<	VXBT	1,000
VXBT5	<	VXBT	1,059	,100	10,552	***
VXBT3	<	VXBT	1,420	,146	9,754	***
VXBT2	<	VXBT	1,435	,143	10,004	***
VXBT1	<	VXBT	1,456	,152	9,581	***
TTKD2	<	TTKD	1,518	,129	11,764	***
DMSP1	<	DMSP	1,000
DMSP2	<	DMSP	1,123	,087	12,888	***
DMSP3	<	DMSP	1,041	,085	12,192	***
TTKT1	<	TTKT	1,000
TTKT2	<	TTKT	1,109	,099	11,176	***
TTKT3	<	TTKT	1,522	,157	9,694	***
TTKT4	<	TTKT	1,498	,162	9,271	***
HHNN1	<	HHNN	1,000
HHNN3	<	HHNN	,716	,043	16,637	***
HHNN4	<	HHNN	,722	,043	16,983	***
DTKD1	<	DTKD	1,000
DTKD2	<	DTKD	,470	,050	9,310	***

Estimate	S.E.	C.R.	P Label
DTKD3	<	DTKD	,533	,044	12,082	***
DGNP2	<	DGNP	1,000
DGNP3	<	DGNP	,477	,045	10,608	***
DGNP4	<	DGNP	,558	,045	12,505	***
TTKD4	<	TTKD	1,067	,092	11,612	***
TTKD1	<	TTKD	1,000

Standardized Regression Weights: (Group number 1 Default model)

Estimate
VXBN	<	VXLD	,199
VXBT	<	VXLD	,195
TTKT	<	VXBN	,543
TTKT	<	VXBT	,272
DMSP	<	VXBN	,411
DMSP	<	VXBT	,341
DMSP	<	TTKT	,235
HHNN	<	VXLD	,816
DTKD	<	VXLD	,912
DGNP	<	VXLD	,989
TTKD	<	DMSP	,237
VXBN5	<	VXBN	,743
VXBN4	<	VXBN	,798
VXBN3	<	VXBN	,759
VXBN2	<	VXBN	,677
VXBN1	<	VXBN	,615
VXBT6	<	VXBT	,619
VXBT5	<	VXBT	,657
VXBT3	<	VXBT	,754
VXBT2	<	VXBT	,789
VXBT1	<	VXBT	,732
TTKD2	<	TTKD	,932
DMSP1	<	DMSP	,728
DMSP2	<	DMSP	,852
DMSP3	<	DMSP	,779
TTKT1	<	TTKT	,581
TTKT2	<	TTKT	,646
TTKT3	<	TTKT	,878
TTKT4	<	TTKT	,747
HHNN1	<	HHNN	,991
HHNN3	<	HHNN	,762

Estimate
HHNN4	<	HHNN	,772
DTKD1	<	DTKD	,948
DTKD2	<	DTKD	,514
DTKD3	<	DTKD	,631
DGNP2	<	DGNP	,978
DGNP3	<	DGNP	,551
DGNP4	<	DGNP	,622
TTKD4	<	TTKD	,732
TTKD1	<	TTKD	,705

Covariances: (Group number 1 Default model)

Estimate	S.E.	C.R.	P Label
e2	<>	e1	,208	,046	4,497	***
e10	<>	e9	,132	,035	3,726	***
e39	<>	e40	,115	,043	2,695	,007
e36	<>	e37	,224	,037	6,012	***
e20	<>	e21	,264	,046	5,717	***

Correlations: (Group number 1 Default model)

Estimate
e2	<>	e1	,328
e10	<>	e9	,271
e39	<>	e40	,169
e36	<>	e37	,484
e20	<>	e21	,422

Variances: (Group number 1 Default model)

Estimate	S.E.	C.R.	P Label
VXLD	1,002	,093	10,811	***
e34	,542	,078	6,928	***
e50	,303	,056	5,378	***
e31	,211	,044	4,806	***
e32	,334	,056	6,001	***
e30	,713	,112	6,374	***
e44	,427	,060	7,131	***
e45	,222	,063	3,546	***
e46	,022	,039	,558	,577
e5	,459	,048	9,570	***

Estimate	S.E.	C.R.	P Label
e4	,369	,043	8,493	***
e3	,514	,055	9,295	***
e2	,542	,053	10,293	***
e1	,743	,069	10,747	***
e10	,508	,048	10,554	***
e9	,465	,045	10,255	***
e8	,484	,053	9,072	***
e7	,393	,047	8,299	***
e6	,578	,061	9,446	***
e14	,767	,079	9,742	***
e15	,264	,108	2,433	,015
e16	,747	,081	9,185	***
e17	,598	,061	9,744	***
e18	,320	,049	6,581	***
e19	,472	,054	8,775	***
e20	,668	,061	10,921	***
e21	,584	,056	10,468	***
e22	,234	,047	4,989	***
e23	,604	,067	9,075	***
e35	,022	,043	,528	,597
e36	,473	,045	10,501	***
e37	,452	,044	10,353	***
e38	,150	,054	2,751	,006
e39	,811	,069	11,712	***
e40	,569	,050	11,373	***
e41	,047	,031	1,553	,121
e42	,533	,045	11,832	***
e43	,506	,043	11,684	***

Model	NPAR	CMIN	DF	P	CMIN/DF
Default model	74	677,201	361	,000	1,876
Saturated model	435	,000	0
Independence model	29	5067,125	406	,000	12,481

Model Fit Summary CMIN‌

RMR, GFI

Model

RMR

GFI

AGFI

PGFI

Model

RMR	GFI	AGFI	PGFI
Saturated model	,000	1,000
Independence model	,341	,281	,230	,262

Baseline Comparisons

Model

NFI Delta1	RFI rho1	IFI Delta2	TLI rho2	CFI
Default model	,866	,850	,933	,924	,932
Saturated model	1,000		1,000		1,000
Independence model	,000	,000	,000	,000	,000

ParsimonyAdjusted Measures

Model

PRATIO	PNFI	PCFI
Default model	,889	,770	,829
Saturated model	,000	,000	,000
Independence model	1,000	,000	,000

NCP

Model

NCP	LO 90	HI 90
Default model	316,201	246,759	393,457
Saturated model	,000	,000	,000
Independence model	4661,125	4434,930	4893,775

FMIN

Model

FMIN	F0	LO 90	HI 90
Default model	2,319	1,083	,845	1,347
Saturated model	,000	,000	,000	,000
Independence model	17,353	15,963	15,188	16,760

RMSEA

Model

RMSEA	LO 90	HI 90	PCLOSE
Default model	,055	,048	,061	,108
Independence model	,198	,193	,203	,000

AIC

Model

AIC	BCC	BIC	CAIC
Default model	825,201	842,147	1097,533	1171,533
Saturated model	870,000	969,618	2470,875	2905,875
Independence model	5125,125	5131,766	5231,850	5260,850

ECVI

Model

ECVI	LO 90	HI 90	MECVI
Default model	2,826	2,588	3,091	2,884
Saturated model	2,979	2,979	2,979	3,321
Independence model	17,552	16,777	18,349	17,575

HOELTER

Model

HOELTER HOELTER

.05 .01

Default model

Independence model

176 184

27 28

8.4. KIỂM ĐỊNH BOOTSTRAP

Regression Weights: (Group number 1 Default model)

Paramet er

SE SESE			Mean	Bias			SEBias
VXBN	<	VXLD	.057	.002	.148	.002	.003
VXBT	<	VXLD	.049	.002	.107	.002	.002
TTKT	<	VXBN	.097	.003	.427	.006	.004
TTKT	<	VXBT	.107	.003	.285	.002	.005
DMSP	<	VXBN	.109	.003	.453	.003	.005
DMSP	<	VXBT	.152	.005	.500	.002	.007
DMSP	<	TTKT	.149	.005	.350	.018	.007
HHNN	<	VXLD	.054	.002	.924	.002	.002
DTKD	<	VXLD	.056	.002	1.049	.001	.003
DGNP	<	VXLD	.000	.000	1.000	.000	.000
TTKD	<	DMSP	.089	.003	.247	.005	.004
VXBN5	<	VXBN	.000	.000	1.000	.000	.000
VXBN4	<	VXBN	.118	.004	1.079	.011	.005
VXBN3	<	VXBN	.122	.004	1.124	.011	.005
VXBN2	<	VXBN	.099	.003	.907	.007	.004
VXBN1	<	VXBN	.092	.003	.896	.001	.004
VXBT6	<	VXBT	.000	.000	1.000	.000	.000
VXBT5	<	VXBT	.106	.003	1.065	.006	.005
VXBT3	<	VXBT	.160	.005	1.438	.018	.007
VXBT2	<	VXBT	.164	.005	1.451	.016	.007
VXBT1	<	VXBT	.171	.005	1.472	.016	.008
TTKD2	<	TTKD	.137	.004	1.534	.016	.006
DMSP1	<	DMSP	.000	.000	1.000	.000	.000
DMSP2	<	DMSP	.085	.003	1.127	.004	.004
DMSP3	<	DMSP	.103	.003	1.045	.004	.005