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Tác động của giá trị cảm nhận đến ý định mua lại của khách hàng đối với sản phẩm tour du lịch: nghiên cứu trường hợp BenThanh Tourist tại TP.HCM - 12


BI1

6.96

5.557

.720

.939

BI3

6.86

5.153

.862

.824

BI4

6.85

4.863

.860

.823

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Tác động của giá trị cảm nhận đến ý định mua lại của khách hàng đối với sản phẩm tour du lịch: nghiên cứu trường hợp BenThanh Tourist tại TP.HCM - 12


PHỤ LỤC 6: PHÂN TÍCH NHÂN TỐ KHÁM PHÁ (EFA)


1. Kết quả chạy EFA lần 1


KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.949


Approx. Chi-Square

3954.467

Bartlett's Test of Sphericity

df

300


Sig.

.000


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

13.357

53.429

53.429

13.357

53.429

53.429

7.584

30.334

30.334

2

2.138

8.551

61.981

2.138

8.551

61.981

5.276

21.105

51.440

3

1.241

3.763

65.744

.941

3.763

65.744

3.576

14.304

65.744

4

.873

3.494

69.238







5

.741

2.965

72.203







6

.690

2.759

74.962







7

.575

2.301

77.263







8

.566

2.264

79.527







9

.519

2.074

81.601







10

.456

1.825

83.425







11

.438

1.751

85.176







12

.432

1.726

86.903







13

.388

1.554

88.457







14

.381

1.525

89.981







15

.335

1.339

91.320







16

.308

1.231

92.551







17

.269

1.075

93.626







18

.264

1.055

94.681







19

.255

1.022

95.703







20

.229

.917

96.620







21

.213

.853

97.473







22

.202

.807

98.280







23

.160

.639

98.919







24

.145

.578

99.498







25

.126

.502

100.000







Extraction Method: Principal Component Analysis.


Rotated Component Matrixa


Component

1

2

3

RE 3

.798

.227

.085

RE 4

.790

.194

.214

RE 1

.713

.467

.120

RE 2

.691

.443

.140

ER2

.687

.392

.182

BP4

.669

.452

.153

BP3

.663

.474

.130

ER5

.647

.166

.323

ER1

.631

.422

.251

ER3

.611

.453

.247

ER4

.596

.395

.313

QP5

.591

.518

.106

BP1

.548

.424

.215

QP6

.548

.445

.304

QP1

.314

.764

.094

QP2

.484

.697

.075

QP3

.447

.644

.229

QP4

.506

.606

.154

BP2

.562

.602

.141

MP6

.355

.581

.353

MP3

.052

.159

.807

MP1

.325

-.066

.795

MP5

.021

.283

.738

MP2

.329

.069

.727

MP4

.192

.559

.589

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 6 iterations.


2. Kết quả chạy EFA sau khi loại các biến Loai BP1, QP6, MP6, MP4, QP5, ER4:


Rotated Component Matrixa


Component

1

2

3

RE 3

.803

.211

.093

RE 4

.771

.216

.229

RE 1

.761

.412

.109

RE 2

.726

.414

.141

BP4

.706

.409

.156

BP3

.702

.425

.132

ER5

.654

.169

.327

ER2

.652

.426

.207

ER1

.622

.424

.254

BP2

.598

.559

.144

ER3

.574

.491

.254

QP1

.272

.828

.117

QP2

.440

.759

.094

QP3

.409

.704

.257

QP4

.492

.629

.170

MP3

-.008

.229

.826

MP1

.263

.005

.821

MP2

.280

.103

.750

MP5

.126

.144

.707

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 6 iterations.


3. Kết quả EFA sau khi loại thêm các biến Loại ER3, BP2, Loại ER1


Rotated Component Matrixa


Component

1

2

3

RE 3

.809

.210

.097

RE 1

.771

.405

.113

RE 4

.771

.216

.233

RE 2

.740

.407

.146

BP4

.723

.395

.166

BP3

.714

.389

.146

ER5

.654

.164

.329

ER2

.644

.416

.210

QP1

.287

.827

.122

QP2

.450

.760

.096

QP3

.419

.707

.259

QP4

.507

.630

.172

MP3

-.008

.224

.826

MP1

.257

.000

.823

MP2

.278

.089

.753

MP5

.129

.147

.710

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 6 iterations.


4. Kết quả chạy EFA lần cuối và loại thêm ER2:



KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.917


Approx. Chi-Square

2076.519

Bartlett's Test of Sphericity

df

105


Sig.

.000


Total Variance Explained

Component

Initial Eigenvalues

Extraction Sums of Squared

Loadings

Rotation Sums of Squared

Loadings

Total

% of

Variance

Cumul

ative %

Total

% of

Variance

Cumulati

ve %

Total

% of

Variance

Cumulative

%

1

7.728

51.522

51.522

7.728

51.522

51.522

4.682

31.216

31.216

2

1.958

13.052

64.574

1.958

13.052

64.574

3.057

20.379

51.595

3

1.173

5.822

70.396

.873

5.822

70.396

2.820

18.802

70.396

4

.664

4.428

74.824







5

.566

3.770

78.595







6

.537

3.582

82.177







7

.518

3.451

85.628







8

.394

2.628

88.256







9

.368

2.453

90.709







10

.312

2.083

92.792







11

.297

1.978

94.770







12

.218

1.453

96.223







13

.214

1.429

97.652







14

.192

1.281

98.933







15

.160

1.067

100.00

0







Extraction Method: Principal Component Analysis.



Component

1

2

3

RE 3

.804

.220

.100

RE 4

.768

.226

.236

RE 1

.767

.413

.116

RE 2

.742

.415

.148

BP4

.724

.403

.168

BP3

.711

.396

.149

ER5

.654

.170

.331

QP1

.273

.832

.125

QP2

.442

.766

.099

QP3

.412

.712

.262

QP4

.504

.634

.174

MP3

-.009

.222

.826

MP1

.251

.003

.824

MP2

.274

.092

.754

MP5

.127

.147

.711

Rotated Component Matrixa


Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 5 iterations.


PHỤ LỤC 7: KẾT QUẢ PHÂN TÍCH TƯƠNG QUAN


Correlations


FAC1_1

FAC2_1

FAC3_1

FAC1_2


Pearson Correlation

1

.000

.000

.729**

FAC1_1

Sig. (2-tailed)


1.000

1.000

.000


N

204

204

204

203


Pearson Correlation

.000

1

.000

.349**

FAC2_1

Sig. (2-tailed)

1.000


1.000

.000


N

204

204

204

203


Pearson Correlation

.000

.000

1

.239**

FAC3_1

Sig. (2-tailed)

1.000

1.000


.001


N

204

204

204

203


Pearson Correlation

.729**

.349**

.239**

1

FAC1_2

Sig. (2-tailed)

.000

.000

.001



N

203

203

203

203

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


PHỤ LỤC 8: KẾT QUẢ PHÂN TÍCH HỒI QUI TUYẾN TÍNH


Model Summaryb

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1

.842a

.710

.705

.54292302

1.779

a. Predictors: (Constant), HA, QP, MP

b. Dependent Variable: BI


ANOVAa

Model

Sum of Squares

df

Mean Square

F

Sig.


Regression

143.342

3

47.781

162.097

.000b

1

Residual

58.658

199

.295


Total

202.000

202


a. Dependent Variable: BI

b. Predictors: (Constant), HA, QP, MP


Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

Collinearity Statistics

B

Std. Error

Beta

Tolerance

VIF

(Constant)

.005

.038


.122

.903



FAC1_1

.730

.038

.729

19.081

.000

1.000

1.000

1








FAC2_1

.351

.038

.352

9.205

.000

1.000

1.000

FAC3_1

.233

.038

.232

6.085

.000

1.000

1.000

a. Dependent Variable: BI

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