Nghiên cứu các yếu tố ảnh hưởng đến sự hài lòng của khách du lịch cộng đồng vùng Tây Bắc - 21


Total Variance Explained



Component

Initial Eigenvalues

Extraction Sums of Squared Loadings

Rotation Sums of Squared Loadings

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

1

5.531

17.841

17.841

5.531

17.841

17.841

5.515

17.790

17.790

2

4.729

15.253

33.095

4.729

15.253

33.095

4.470

14.420

32.210

3

4.083

13.171

46.266

4.083

13.171

46.266

4.040

13.033

45.243

4

3.132

10.104

56.369

3.132

10.104

56.369

3.258

10.510

55.754

5

2.792

9.007

65.376

2.792

9.007

65.376

2.983

9.622

65.376

6

.707

2.281

67.657







7

.611

1.971

69.628







8

.592

1.910

71.538







9

.559

1.802

73.340







10

.536

1.730

75.069







11

.516

1.664

76.734







12

.509

1.640

78.374







13

.495

1.598

79.972







14

.480

1.549

81.521







15

.443

1.428

82.949







16

.426

1.374

84.322







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Component

Initial Eigenvalues

Extraction Sums of Squared Loadings

Rotation Sums of Squared Loadings

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

17

.424

1.368

85.690







18

.400

1.290

86.980

19

.387

1.250

88.230

20

.378

1.218

89.448

21

.370

1.195

90.643

22

.354

1.144

91.787

23

.343

1.106

92.892

24

.329

1.062

93.954

25

.317

1.022

94.976

26

.312

1.006

95.982

27

.284

.916

96.898

28

.278

.896

97.794

29

.245

.789

98.583

30

.226

.727

99.310

31

.214

.690

100.000

Extraction Method: Principal Component Analysis.


Component Matrixa



Component

1

2

3

4

5

VHBĐ4

.812





VHBĐ2

.794




VHBĐ1

.793




VHBĐ8

.792




VHBĐ5

.783




VHBĐ3

.770




VHBĐ7

.770




VHBĐ9

.752




VHBĐ6

.724




HDTN6


.734



HDTN7


.716



HDTN4


.713



HDTN2


.710



HDTN5


.691



HDTN1


.690



HDTN3


.666



MTDL3



.704


MTDL5



.686


MTDL4



.685


MTDL6



.680


MTDL2



.647


MTDL1



.634


GC3




.727

GC1




.723


Component Matrixa



Component

1

2

3

4

5

GC4




.719


GC2

.689


GC5

.651


CSHT3


.779

CSHT2


.761

CSHT4


.745

CSHT1


.715

Extraction Method: Principal Component Analysis.

a. 5 components extracted.


Rotated Component Matrixa



Component

1

2

3

4

5

VHBĐ4

.809





VHBĐ8

.801


VHBĐ2

.800


VHBĐ1

.797


VHBĐ5

.783


VHBĐ7

.776


VHBĐ3

.771


VHBĐ9

.758


VHBĐ6

.729


HDTN7


.822


Rotated Component Matrixa



Component

1

2

3

4

5

HDTN6


.820




HDTN1

.816




HDTN4

.795




HDTN2

.794




HDTN3

.774




HDTN5

.745




MTDL5


.832



MTDL3


.829



MTDL6


.828



MTDL4


.815



MTDL2


.804



MTDL1


.791



GC3



.836


GC1



.829


GC2



.804


GC4



.803


GC5



.741


CSHT2




.879

CSHT4




.874

CSHT3




.873

CSHT1




.812

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

a. Rotation converged in 5 iterations.


KMO and Bartlett's Test


Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.694

Approx. Chi-Square

394.134

Bartlett's Test of Sphericity df

3

Sig.

.000


Total Variance Explained


Factor

Initial Eigenvalues

Extraction Sums of Squared Loadings

Total

% of Variance

Cumulative

%

Total

% of Variance

Cumulative

%

1

2.021

67.356

67.356

1.533

51.098

51.098

2

.513

17.103

84.460




3

.466

15.540

100.000




Extraction Method: Principal Axis Factoring.


Factor Matrixa



Factor

1

CLDD2 CLDD3

CLDD1

.743

.711

.688

Extraction Method: Principal Axis Factoring.

a. 1 factors extracted. 8 iterations required.



KMO and Bartlett's Test


Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.866

Approx. Chi-Square

1283.039

Bartlett's Test of Sphericity df

10

Sig.

.000


Total Variance Explained


Component

Initial Eigenvalues

Extraction Sums of Squared Loadings

Total

% of Variance

Cumulative

%

Total

% of Variance

Cumulative

%

1

3.340

66.807

66.807

3.340

66.807

66.807

2

.491

9.826

76.633




3

.441

8.811

85.444




4

.419

8.382

93.826




5

.309

6.174

100.000




Extraction Method: Principal Component Analysis.


Component Matrixa



Component

1

SA4

.841

SA1

.830

SA3

.816

SA2

.800

SA5

.799

Extraction Method: Principal Component Analysis.

a. 1 components extracted.


Scalar Estimates Group number 1 Default model 1


Scalar Estimates (Group number 1 - Default model)

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