Nâng cao chất lượng dịch vụ khách sạn phục vụ khách du lịch đến Bà Rịa

Giá cảm nhận

Mức độ hài lòng của khách hang

Phân tích nhân tố khám phá Nhân tố tác động

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.		.881
Bartlett's Test of Sphericity	Approx. Chi-Square	9218.494
Bartlett's Test of Sphericity	df	351
	Sig.	.000

Có thể bạn quan tâm!

Xem toàn bộ 119 trang tài liệu này.

Rotated Component Matrixa

Component
1	2	3	4	5	6
VC5	.901
VC4	.886
VC2	.865
VC3	.857

VC1

.854
TC5	.832
TC1	.814
TC4	.793		.307
TC3	.789
TC2	.785
GC2		.925
GC4		.906
GC3		.902
GC1		.885
PV1			.859
PV3			.840
PV4	.320		.821
PV2	.350		.802
DU3				.792
DU5				.788
DU2				.743
DU1				.726
DU4				.715
DC4					.801
DC1					.768
DC2					.720
DC3					.619

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 6 iterations.

Nhân tố bị tác động

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.857
Bartlett's Test of Sphericity	Approx. Chi-Square	1409.903
	df	21
	Sig.	.000

Total Variance Explained

Component

Initial Eigenvalues			Extraction Sums of Squared Loadings
Total	% of Variance	Cumulative %	Total	% of Variance	Cumulative %
1	3.970	56.711	56.711	3.970	56.711	56.711
2	.862	12.316	69.027
3	.643	9.179	78.206
4	.537	7.672	85.878
5	.385	5.496	91.374
6	.338	4.825	96.199

.266

3.801

100.000

Extraction Method: Principal Component Analysis.

Component Matrixa

Componen t

HL7

.819
HL1	.813
HL6	.790
HL5	.767
HL2	.733
HL3	.704
HL4	.626

Extraction Method: Principal Component Analysis.

a. 1 components extracted.

Hồi quy

Correlations

Pearson Correlation	1	.377**	.344**	-.204**	.150**	.222**	.604**
Sig. (2-tailed)		.000	.000	.000	.002	.000	.000
N	445	445	445	445	445	445	445
PV	Pearson Correlation	.377**	1	.617**	.027	.234**	.229**	.292**
	Sig. (2-tailed)	.000		.000	.571	.000	.000	.000
	N	445	445	445	445	445	445	445
TC	Pearson Correlation	.344**	.617**	1	.237**	.348**	.352**	.341**
	Sig. (2-tailed)	.000	.000		.000	.000	.000	.000
	N	445	445	445	445	445	445	445
DC	Pearson Correlation	-.204**	.027	.237**	1	.180**	.175**	.006
	Sig. (2-tailed)	.000	.571	.000		.000	.000	.907
	N	445	445	445	445	445	445	445
VC	Pearson Correlation	.150**	.234**	.348**	.180**	1	.066	.459**
	Sig. (2-tailed)	.002	.000	.000	.000		.163	.000
	N	445	445	445	445	445	445	445
GC	Pearson Correlation	.222**	.229**	.352**	.175**	.066	1	.212**
	Sig. (2-tailed)	.000	.000	.000	.000	.163		.000
	N	445	445	445	445	445	445	445
HL	Pearson Correlation	.604**	.292**	.341**	.006	.459**	.212**	1
	Sig. (2-tailed)	.000	.000	.000	.907	.000	.000
	N	445	445	445	445	445	445	445

**. Correlation is significant at the 0.01 level (2-tailed).

Model Summary

Model

R Square

Adjusted R Square

Std. Error of the Estimate

.714a

.510

.504

.135022061

917689

a. Predictors: (Constant), GC, VC, DC, PV, DU, TC

ANOVAa

Model

Sum of Squares	df	Mean Square	F	Sig.
1	Regressio n	8.325	6	1.387	76.104	.000b
	Residual	7.985	438	.018
	Total	16.310	444

a. Dependent Variable: HL

b. Predictors: (Constant), GC, VC, DC, PV, DU, TC

Coefficientsa

Model

Unstandardized Coefficients		Standardized Coefficients	t	Sig.	Collinearity Statistics
B	Std. Error	Beta	t	Sig.	Tolerance	VIF
1	(Constant)	1.762	.183		9.653	.000
	DU	.351	.025	.549	14.179	.000	.745	1.342