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Phụ lục 5Phân tích nhân tố khám phá EFA

Phụ lục 5Phân tích nhân tố khám phá EFA

Tải bản đầy đủ

PB_2

3.34

1.048

258

PB_3

3.28

1.009

258

PB_4

3.30

1.051

258

PB_5

3.36

1.075

258

PB_6

3.09

1.233

258

PB_7

3.38

1.074

258

PQ_1

3.84

1.021

258

PQ_2

3.73

1.012

258

PQ_3

3.57

1.061

258

PQ_4

3.79

.990

258

PQ_5

3.56

1.118

258

BL_1

2.56

1.080

258

BL_2

2.75

1.177

258

BL_3

2.86

1.119

258

BL_4

2.68

1.141

258

PR_1

3.75

1.048

258

PR_2

4.08

.901

258

PR_3

3.55

1.105

258

DI_1

3.64

1.005

258

DI_2

3.45

1.119

258

DI_3

3.57

.915

258

DI_4

3.71

1.009

258

AD_1

3.32

.982

258

AD_2

3.47

.946

258

AD_3

3.58

1.019

258

AD_4

3.50

.995

258

AD_5

3.46

.987

258

AD_6

3.69

.996

258

OB_1

3.26

.873

258

OB_2

3.41

.878

258

OB_3

3.05

.883

258

OB_4

3.62

.975

258

KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.868

Bartlett's Test of

Approx. Chi-Square

Sphericity

df

741

Sig.

.000

Communalities
Initial

Extraction

BA_1

1.000

.612

BA_2

1.000

.565

BA_3

1.000

.565

BA_4

1.000

.561

BA_5

1.000

.538

5139.143

BA_6

1.000

.554

PB_1

1.000

.821

PB_2

1.000

.786

PB_3

1.000

.637

PB_4

1.000

.703

PB_5

1.000

.657

PB_6

1.000

.640

PB_7

1.000

.827

PQ_1

1.000

.515

PQ_2

1.000

.715

PQ_3

1.000

.610

PQ_4

1.000

.498

PQ_5

1.000

.694

BL_1

1.000

.674

BL_2

1.000

.708

BL_3

1.000

.498

BL_4

1.000

.549

PR_1

1.000

.558

PR_2

1.000

.704

PR_3

1.000

.520

DI_1

1.000

.686

DI_2

1.000

.377

DI_3

1.000

.571

DI_4

1.000

.601

AD_1

1.000

.549

AD_2

1.000

.597

AD_3

1.000

.606

AD_4

1.000

.693

AD_5

1.000

.633

AD_6

1.000

.463

OB_1

1.000

.768

OB_2

1.000

.705

OB_3

1.000

.561

OB_4

1.000

.500

Extraction Method: Principal
Component Analysis.
Total Variance Explained
Initial Eigenvalues
Component

% of
Total Varian
ce

Cumulat
ive %

Extraction Sums of

Rotation Sums of

Squared Loadings

Squared Loadings

% of
Total Varian
ce

Cumulat
ive %

% of Cumul
Total Varian ative
ce

%

1

10.589 27.151

27.151 10.589 27.151

27.151 4.927 12.634 12.634

2

3.107 7.967

35.118 3.107 7.967

35.118 3.490 8.949 21.583

3

2.399 6.151

41.269 2.399 6.151

41.269 3.138 8.045 29.629

4

2.036 5.221

46.491 2.036 5.221

46.491 2.836 7.272 36.901

5

1.673 4.290

50.780 1.673 4.290

50.780 2.819 7.228 44.129

6

1.657 4.250

55.030 1.657 4.250

55.030 2.585 6.629 50.758

7

1.404 3.599

58.629 1.404 3.599

58.629 2.284 5.856 56.614

8

1.155 2.960

61.589 1.155 2.960

61.589 1.940 4.975 61.589

9

.976 2.502

64.091

10

.921 2.361

66.452

11

.887 2.273

68.726

12

.862 2.209

70.935

13

.803 2.060

72.995

14

.782 2.005

74.999

15

.725 1.858

76.858

16

.690 1.769

78.627

17

.654 1.677

80.304

18

.617 1.581

81.885

19

.611 1.567

83.452

20

.546 1.400

84.852

21

.528 1.354

86.206

22

.485 1.245

87.451

23

.454 1.165

88.616

24

.437 1.120

89.735

25

.414 1.061

90.797

26

.397 1.017

91.814

27

.363

92.745

.931

28

.338

.867

93.612

29

.330

.846

94.458

30

.312

.800

95.258

31

.299

.767

96.025

32

.276

.706

96.731

33

.262

.672

97.404

34

.228

.584

97.988

35

.209

.535

98.522

36

.193

.496

99.018

37

.170

.437

99.455

38

.155

.399

99.854

39

.057

.146 100.000

Extraction Method: Principal
Component Analysis.
Component Matrixa
Component
1

2

3

4

5

6

7

8

BA_1

.531

.015

-.014

.485

.218

-.029

-.152

.150

BA_2

.399

.144

.006

.579

.090

-.037

-.187

.080

BA_3

.447

.102

.017

.582

.050

-.019

-.107

-.026

BA_4

.489

.047

-.033

.404

.365

.017

-.083

-.123

BA_5

.552

.194

-.124

.380

.164

-.052

.032

.069

BA_6

.535

.082

-.209

.244

.230

-.113

.195

.234

PB_1

.650

-.446

-.404

.045

.055

.099

-.022

-.143

PB_2

.670

-.349

-.252

-.136

-.272

-.013

.032

.239

PB_3

.608

-.364

-.223

-.034

-.236

.006

-.166

.040

PB_4

.672

-.355

-.288

-.097

-.089

.031

.119

-.096

PB_5

.600

-.386

-.239

-.184

-.176

-.091

-.015

.135

PB_6

.539

-.376

-.358

.112

.016

.190

.069

-.159

PB_7

.685

-.455

-.358

-.002

-.007

.103

.069

-.085

PQ_1

.409

.323

.006

-.056

.056

.470

-.045

-.116

PQ_2

.378

.534

-.270

-.113

-.049

.422

-.138

.011

PQ_3

.285

.585

-.197

-.125

.003

.303

-.096

-.178

PQ_4

.399

.318

-.127

-.112

-.140

.280

.134

.304

PQ_5

.384

.514

-.195

-.200

-.027

.410

-.088

.164

BL_1

.427

-.203

.517

.061

-.267

.260

.043

.199

BL_2

.420

-.256

.580

.158

-.241

.164

.089

.111

BL_3

.476

.006

.466

.046

-.167

.007

.004

.154

BL_4

.415

-.090

.403

.140

-.297

.279

.006

.144

PR_1

.391

-.142

.324

-.059

.401

.086

.329

.002

PR_2

.113

-.166

.254

-.240

.611

.274

.295

.071

PR_3

.356

-.164

.084

-.274

.413

.105

.315

.048

DI_1

.504

.331

-.146

-.015

-.102

-.334

.321

.275

DI_2

.433

.200

-.193

-.054

-.030

-.094

.264

.170

DI_3

.490

.399

-.058

-.027

-.154

-.357

.129

-.014

DI_4

.230

.533

.002

.036

-.139

-.287

.395

-.070

AD_1

.564

.016

.154

-.110

.150

-.102

-.389

.106

AD_2

.524

.006

.212

-.230

.164

-.061

-.435

.064

AD_3

.626

.098

.112

-.216

.156

-.216

-.222

.159

AD_4

.638

.035

.109

-.337

.123

-.309

-.183

.124

AD_5

.616

.029

.079

-.286

.224

-.238

-.202

-.130

AD_6

.527

.168

.105

-.307

-.049

-.132

-.127

-.121

OB_1

.728

.153

.153

-.033

-.134

-.023

.095

-.403

OB_2

.667

.076

.271

.009

-.149

-.029

.034

-.395

OB_3

.616

.044

.217

.051

-.125

-.083

.127

-.301

OB_4

.646

.026

.150

.007

-.035

-.018

.150

-.190

Extraction Method: Principal Component Analysis.
a. 8 components extracted.
Rotated Component Matrixa
Component
1

2

3

4

5

6

7

8

BA_1

.183

.189

.713

.048

.149

.082

-.012

.051

BA_2

.038

.087

.713

.070

.144

.073

.043

-.125

BA_3

.100

.031

.693

.056

.168

.076

.165

-.098

BA_4

.146

.144

.659

.088

-.030

-.016

.196

.192

BA_5

.173

.112

.607

.171

.039

.283

.107

.066

BA_6

.276

.102

.486

.086

-.006

.418

-.052

.217

PB_1

.833

.123

.258

.058

-.036

-.052

.151

.124

PB_2

.761

.239

.016

.059

.273

.259

-.055

-.031

PB_3

.702

.262

.111

.038

.201

.026

.060

-.133

PB_4

.765

.145

.081

.061

.083

.138

.211

.124

PB_5

.717

.293

-.014

-.028

.156

.179

-.004

.001

PB_6

.724

-.040

.243

.099

.005

-.056

.162

.128

PB_7

.852

.108

.192

.055

.056

.031

.146

.158

PQ_1

.063

.079

.146

.628

.138

-.041

.213

.151

PQ_2

.080

.109

.117

.812

-.035

.119

.060

-.070

PQ_3

-.055

.100

.080

.709

-.142

.107

.230

-.053

PQ_4

.153

.047

.032

.533

.218

.354

-.107

.054

PQ_5

.056

.165

.048

.788

.048

.188

-.050

.018

BL_1

.140

.108

.049

.037

.787

-.023

.080

.110

BL_2

.115

.076

.117

-.104

.785

-.025

.177

.124

BL_3

.021

.275

.134

.019

.593

.152

.158

.064

BL_4

.127

.052

.123

.132

.697

-.008

.108

.006

PR_1

.074

.129

.141

-.050

.224

.079

.175

.653

PR_2

-.028

.073

-.031

.041

.052

-.119

-.054

.822

PR_3

.216

.164

-.029

.045

.038

.104

.055

.654

DI_1

.142

.175

.156

.112

.054

.770

.047

.015

DI_2

.224

.086

.106

.200

.018

.507

.037

.100

DI_3

.051

.270

.145

.134

.004

.593

.299

-.130

DI_4

-.186

-.038

.066

.132

-.035

.654

.336

-.037

AD_1

.153

.649

.242

.114

.166

-.007

.049

.045

AD_2

.117

.707

.133

.139

.168

-.091

.070

.076

AD_3

.163

.675

.170

.114

.120

.223

.067

.118

AD_4

.218

.729

.050

.037

.094

.267

.112

.130

AD_5

.216

.664

.108

.066

-.033

.108

.291

.177

AD_6

.139

.506

-.042

.198

.093

.184

.322

.015

OB_1

.252

.258

.164

.220

.223

.209

.683

.061

OB_2

.197

.268

.165

.125

.306

.112

.666

.039

OB_3

.208

.197

.181

.050

.275

.196

.570

.070

OB_4

.262

.210

.189

.112

.253

.214

.448

.170

Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 7 iterations.

Phụ lục 6

Phân tích hồi quy tuyến tính
1. Mối quan hệ giữa giá trị thương hiệu và các thành phần cấu thành nên giá trị thương
hiệu
Descriptive Statistics
Mean

Std. Deviation

N

OB

3.3362

.74501

258

BA

3.4218

.76258

258

PB

3.2990

.87936

258

PQ

3.7008

.76586

258

BL

2.7122

.87928

258

Correlations
OB

BA

PB

PQ

BL

Pearson

OB

1.000

.481

.496

.365

.493

Correlation

BA

.481

1.000

.431

.318

.314

PB

.496

.431

1.000

.215

.326

PQ

.365

.318

.215

1.000

.142

BL

.493

.314

.326

.142

1.000

OB

.

.000

.000

.000

.000

BA

.000

.

.000

.000

.000

PB

.000

.000

.

.000

.000

PQ

.000

.000

.000

.

.011

BL

.000

.000

.000

.011

.

OB

258

258

258

258

258

BA

258

258

258

258

258

PB

258

258

258

258

258

PQ

258

258

258

258

258

BL

258

258

258

258

258

Sig. (1-tailed)

N

Variables Entered/Removedb
Model
1

Variables Entered

Variables Removed

BL, PQ, PB, BAa

a. All requested variables entered.
b. Dependent Variable: OB

Method
. Enter