Nghiên cứu chuỗi cung ứng dịch vụ du lịch tại vùng Đồng bằng sông Hồng và Duyên hải Đông Bắc Việt Nam - 29

5.30 10.11

Covariance Matrix of Latent Variables

KQ	CH	DP	QH
--------	--------	--------	--------
KQ	1.00
CH	0.50	1.00
DP	0.64	0.21	1.00
QH	0.68	0.31	0.49	1.00

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• Nghiên cứu chuỗi cung ứng dịch vụ du lịch tại vùng Đồng bằng sông Hồng và Duyên hải Đông Bắc Việt Nam - 27
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Goodness of Fit Statistics Degrees of Freedom = 203

Minimum Fit Function Chi-Square = 830.21 (P = 0.0) Normal Theory Weighted Least Squares Chi-Square = 901.26 (P = 0.0)

Estimated Non-centrality Parameter (NCP) = 898.26

90 Percent Confidence Interval for NCP = (592.86 ; 911.13)

Minimum Fit Function Value = 2.67 Population Discrepancy Function Value (F0) = 2.86

90 Percent Confidence Interval for F0 = (2.56 ; 3.18) Root Mean Square Error of Approximation (RMSEA) = 0.052

90 Percent Confidence Interval for RMSEA = (0.051 ; 0.053) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.00

Expected Cross-Validation Index (ECVI) = 3.73

90 Percent Confidence Interval for ECVI = (3.43 ; 4.05) ECVI for Saturated Model = 1.45

ECVI for Independence Model = 25.92

Chi-Square for Independence Model with 231 Degrees of Freedom = 9003.75

Independence AIC = 9047.75 Model AIC = 1301.26

Saturated AIC = 506.00 Independence CAIC = 9154.63

Model CAIC = 1544.15

Saturated CAIC = 1735.06

Normed Fit Index (NFI) = 0.90 Non-Normed Fit Index (NNFI) = 0.91

Parsimony Normed Fit Index (PNFI) = 0.82 Comparative Fit Index (CFI) = 0.92 Incremental Fit Index (IFI) = 0.92

Relative Fit Index (RFI) = 0.88

Critical N (CN) = 95.84

Root Mean Square Residual (RMR) = 0.052 Standardized RMR = 0.078

Goodness of Fit Index (GFI) = 0.96 Adjusted Goodness of Fit Index (AGFI) = 0.80

Parsimony Goodness of Fit Index (PGFI) = 0.77 The Modification Indices Suggest to Add the

Path to from Decrease in Chi-Square New Estimate

DP4 CH 14.7 0.13

The Modification Indices Suggest to Add an Error Covariance Between and Decrease in Chi-Square New Estimate

KQ2

KQ1	85.0	0.21
KQ3	KQ1	28.6	0.13
KQ3	KQ2	13.6	0.09
KQ4	KQ1	23.6	-0.11
KQ4	KQ3	21.4	-0.12
KQ5	KQ1	12.9	-0.08
KQ5	KQ3	24.9	-0.12
KQ6	KQ1	40.1	-0.13
KQ6	KQ2	34.5	-0.12
KQ6	KQ3	17.1	-0.09
KQ6	KQ4	63.3	0.17
KQ6	KQ5	31.7	0.11
KQ7	KQ1	18.3	-0.10
KQ7	KQ2	22.1	-0.11
KQ7	KQ4	15.7	0.09
KQ7	KQ5	10.4	0.07
KQ7	KQ6	35.1	0.12
KQ8	KQ1	14.2	-0.09
KQ8	KQ2	18.2	-0.11
KQ8	KQ3	14.3	-0.10
KQ8	KQ4	15.4	0.10
KQ8	KQ5	15.0	0.09
KQ8	KQ6	23.2	0.11
KQ8	KQ7	19.4	0.11
KQ9	KQ1	14.8	-0.10
KQ9	KQ2	8.6	-0.07
KQ9	KQ5	13.1	0.09
KQ9	KQ6	22.1	0.11
KQ9	KQ8	34.3	0.16
DP1	KQ1	10.7	0.06
DP1	KQ3	8.4	0.06
DP1	KQ4	19.2	-0.08
DP2	KQ1	9.0	-0.04
DP2	KQ5	8.6	0.04
DP4	KQ1	28.4	0.10
DP4	KQ3	43.9	0.14
DP4	KQ6	21.5	-0.08
DP4	CH1	16.6	0.09
DP4	DP2	17.7	-0.06
QH1	KQ3	13.7	0.09
QH1	DP4	15.2	0.08
QH2	QH1	24.3	0.12
QH3	KQ4	8.4	0.06
QH3	QH2	11.2	0.07
QH4	QH1	10.8	-0.07
QH4	QH2	33.1	-0.13
QH5	QH3	16.4	-0.08
QH5	QH4	13.6	0.08
QH6	QH5	8.6	0.06

9. MÔ HÌNH SEM 2

Sample Size = 350 PATH ANALYSIS

Covariance Matrix

KQ6

KQ1	KQ2	KQ3	KQ4	KQ5
	--------	--------	--------	--------	--------	-----
---
KQ1	0.69
KQ2	0.49	0.71
KQ3	0.47	0.45	0.84
KQ4	0.15	0.21	0.17	0.59
KQ5	0.16	0.20	0.16	0.20	0.53
KQ6	0.16	0.18	0.22	0.32	0.27
0.50
KQ7	0.23	0.23	0.31	0.29	0.26
0.32
KQ8	0.14	0.14	0.16	0.24	0.23
0.26
KQ9	0.13	0.16	0.17	0.19	0.22
0.25
CH1	0.37	0.32	0.40	0.08	0.07
0.08
CH2	0.32	0.27	0.36	0.04	0.10
0.10
CH3	0.30	0.26	0.36	0.08	0.08
0.05
DP1	0.25	0.21	0.29	0.07	0.12
0.12
DP2	0.20	0.25	0.25	0.17	0.18
0.17
DP3	0.22	0.26	0.26	0.18	0.14
0.18
DP4	0.31	0.25	0.38	0.12	0.13
0.10
QH1	0.24	0.25	0.32	0.10	0.14
0.13
QH2	0.21	0.19	0.21	0.15	0.11
0.16
QH3	0.26	0.27	0.23	0.21	0.13
0.21
QH4	0.21	0.24	0.27	0.19	0.16
0.20
QH5	0.24	0.21	0.27	0.11	0.19
0.18
QH6	0.26	0.26	0.30	0.16	0.17
0.18

Covariance Matrix

CH3

---

KQ7 KQ8 KQ9 CH1 CH2

-------- -------- -------- -------- -------- ----- KQ7 0.64

KQ8	0.29 0.63
KQ9	0.24 0.28	0.63
CH1	0.16 0.10	0.11	1.02
CH2	0.13 0.11	0.11	0.60	0.91
0.99	CH3 DP1	0.16 0.08 0.18 0.11	0.12 0.09	0.59 0.08	0.61 0.06
0.06	DP2	0.19 0.11	0.14	0.11	0.09
0.06	DP3	0.16 0.10	0.12	0.12	0.08
0.10	DP4	0.15 0.08	0.11	0.25	0.14
0.14	QH1	0.20 0.06	0.07	0.17	0.12
0.14	QH2	0.16 0.07	0.07	0.12	0.12
0.10	QH3	0.24 0.13	0.13	0.13	0.15
0.13	QH4	0.23 0.16	0.12	0.13	0.15
0.08	QH5	0.18 0.13	0.07	0.20	0.16
0.10	QH6	0.22 0.15	0.10	0.20	0.16
0.10
		Covariance Matrix
QH2 ---	DP1	DP1 DP2 -------- -------- 0.53	DP3 --------	DP4 --------	QH1 --------	-----
	DP2	0.30 0.48
	DP3	0.33 0.37	0.49
	DP4	0.29 0.26	0.33	0.57
	QH1	0.14 0.14	0.14	0.21	0.68
0.68	QH2 QH3	0.12 0.14 0.13 0.19	0.14 0.18	0.10 0.13	0.35 0.31
0.32	QH4	0.15 0.18	0.19	0.16	0.23
0.17	QH5	0.17 0.15	0.18	0.17	0.26
0.24	QH6	0.17 0.21	0.18	0.16	0.36
0.35
		Covariance Matrix
	QH3	QH3 QH4 -------- -------- 0.55	QH5 --------	QH6 --------
	QH4	0.29 0.60
	QH5	0.26 0.36	0.65
	QH6	0.38 0.41	0.43	0.71

PATH ANALYSIS

Number of Iterations = 11

LISREL Estimates (Maximum Likelihood) Measurement Equations

KQ1 = 0.69*KQM, Errorvar.= 0.21 , R² = 0.69

(0.024)

8.86

KQ2 = 0.68*KQM, Errorvar.= 0.25 , R² = 0.65 (0.042) (0.026)

16.26 9.63

KQ3 = 0.70*KQM, Errorvar.= 0.35 , R² = 0.59 (0.046) (0.033)

15.33 10.48

KQ4 = 0.51*KQH, Errorvar.= 0.33 , R² = 0.44

(0.029)

11.42

KQ5 = 0.46*KQH, Errorvar.= 0.32 , R² = 0.40 (0.045) (0.027)

10.13 11.73

KQ6 = 0.58*KQH, Errorvar.= 0.17 , R² = 0.66 (0.047) (0.019)

12.36 8.76

KQ7 = 0.57*KQH, Errorvar.= 0.31 , R² = 0.51 (0.051) (0.029)

11.27 10.81

KQ8 = 0.48*KQH, Errorvar.= 0.40 , R² = 0.36 (0.049) (0.034)

9.75 11.93

KQ9 = 0.44*KQH, Errorvar.= 0.44 , R² = 0.30 (0.049) (0.036)

9.02 12.23

CH1 = 0.78*CH, Errorvar.= 0.41 , R² = 0.60 (0.049) (0.044)

15.75 9.30

CH2 = 0.78*CH, Errorvar.= 0.31 , R² = 0.66 (0.046) (0.038)

16.87 8.02

CH3 = 0.77*CH, Errorvar.= 0.41 , R² = 0.59 (0.049) (0.043)

15.68 9.38

DP1 = 0.53*DP, Errorvar.= 0.25 , R² = 0.52 (0.035) (0.022)

15.12 11.61

DP2 = 0.58*DP, Errorvar.= 0.14 , R² = 0.70 (0.031) (0.015)

18.52 9.61

DP3 = 0.63*DP, Errorvar.= 0.086 , R² = 0.82 (0.030) (0.013)

21.06 6.42

DP4 = 0.52*DP, Errorvar.= 0.30 , R² = 0.47 (0.037) (0.025)

14.08 11.93

QH1 = 0.52*QH, Errorvar.= 0.41 , R² = 0.40 (0.042) (0.034)

12.42 12.04

QH2 = 0.49*QH, Errorvar.= 0.44 , R² = 0.35 (0.042) (0.036)

11.44 12.26

QH3 = 0.55*QH, Errorvar.= 0.25 , R² = 0.55 (0.036) (0.022)

15.52 10.95

QH4 = 0.55*QH, Errorvar.= 0.30 , R² = 0.50 (0.038) (0.026)

14.47 11.40

QH5 = 0.56*QH, Errorvar.= 0.34 , R² = 0.48 (0.040) (0.029)

14.15 11.52

QH6 = 0.71*QH, Errorvar.= 0.21 , R² = 0.70 (0.038) (0.024)

18.39 8.97

Structural Equations

KQM = 0.43*QH + 0.37*DP + 0.28*CH, Errorvar.= 0.32 , R² = 0.68 (0.021) (0.033) (0.045) (0.039)

8.52 7.00 5.55 6.49

KQH = 0.16*CH + 0.30*DP + 0.39*QH, Errorvar.= 0.64 , R² = 0.56

(0.048)

(0.035) (0.021)		(0.020)
1.08		4.28 5.52		6.27
Correlation Matrix of Independent Variables CH DP QH -------- -------- -------- CH 1.00 DP 0.22 1.00 (0.06) 3.62 QH 0.31 0.49 1.00 (0.06) (0.05) 5.31 10.13 Covariance Matrix of Latent Variables
KQM	KQM -------- 1.00	KQH --------	CH --------	DP --------	QH --------
KQH	0.45	1.00
CH	0.61	0.24	1.00
DP	0.61	0.48	0.22	1.00
QH	0.62	0.54	0.31	0.49	1.00

Goodness of Fit Statistics

Degrees of Freedom = 200

Minimum Fit Function Chi-Square = 570.92 (P = 0.0) Normal Theory Weighted Least Squares Chi-Square = 558.14 (P =

0.0)

Estimated Non-centrality Parameter (NCP) = 358.14

90 Percent Confidence Interval for NCP = (291.51 ; 432.42)

Minimum Fit Function Value = 1.64 Population Discrepancy Function Value (F0) = 1.03

90 Percent Confidence Interval for F0 = (0.84 ; 1.24) Root Mean Square Error of Approximation (RMSEA) = 0.072

90 Percent Confidence Interval for RMSEA = (0.065 ; 0.079) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.00

Expected Cross-Validation Index (ECVI) = 1.90

90 Percent Confidence Interval for ECVI = (1.71 ; 2.12) ECVI for Saturated Model = 1.45

ECVI for Independence Model = 25.92

Chi-Square for Independence Model with 231 Degrees of Freedom = 9003.75

Independence AIC = 9047.75 Model AIC = 664.14

Saturated AIC = 506.00

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