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Đo lường mức độ hài lòng của khách hàng cá nhân về dịch vụ thẻ ATM tại NHTMCP Đầu Tư Và Phát Triển Việt Nam Chi Nhánh Tây Nam - 16


Component Matrixa


Component

1

2

3

4

5

6

LIND1

.689



-.513




.510

SDU1

.679

SDB1

.666

PTHH4

.646

LIND2

.643

LIND3

.641

PTHH5

.633

DTC3

.630

SDU4

.606

CP1

.601

PTHH2

.588

SDB3

.587

PTHH1

.584

DTC4

.575

SDB2

.563

PTHH3

.540

CP2

.537

DTC2

.526

SDU2

.525

CP3

.524

DTC1


SDU3


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Đo lường mức độ hài lòng của khách hàng cá nhân về dịch vụ thẻ ATM tại NHTMCP Đầu Tư Và Phát Triển Việt Nam Chi Nhánh Tây Nam - 16

Extraction Method: Principal Component Analysis.

a. 6 components extracted.



Rotated Component Matrixa


Component

1

2

3

4

5

6

LIND3

.814






LIND2

.804






LIND1

.709






SDU1

.509






SDB2


.792





SDB3


.724





SDB1


.670





PTHH2



.730




PTHH1



.718




PTHH4



.697




PTHH5



.671




PTHH3







DTC2




.727



DTC1




.721



DTC3




.621



DTC4




.536



SDU3





.825


SDU2





.735


SDU4





.657


CP2






.748

CP3






.683

CP1







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

a. Rotation converged in 12 iterations.


Component Transformation Matrix

Component

1

2

3

4

5

6

1

.464

.452

.430

.416

.353

.315

2

-.576

.579

.480

-.190

-.184

-.182

3

-.171

-.385

.336

.318

.480

-.615

4

-.565

.152

-.443

.191

.551

.349

5

.092

-.164

.269

-.778

.494

.207

6

-.311

-.513

.452

.219

-.251

.570

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


Lần 2


KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.846

Bartlett's Test of Sphericity

Approx. Chi-Square

1302.563

df

190

Sig.

.000


Communalities


Initial

Extraction

DTC1

1.000

.634

DTC2

1.000

.648

DTC3

1.000

.630

DTC4

1.000

.594

LIND1

1.000

.711

LIND2

1.000

.776

LIND3

1.000

.722

SDU1

1.000

.585

SDU2

1.000

.671

SDU3

1.000

.742

SDU4

1.000

.644

PTHH1

1.000

.724

PTHH2

1.000

.686

PTHH4

1.000

.745

PTHH5

1.000

.722

SDB1

1.000

.646

SDB2

1.000

.730

SDB3

1.000

.682

CP2

1.000

.689

CP3

1.000

.671

Extraction Method: Principal Component Analysis.



Total Variance Explained

Comp onent

Initial Eigenvalues

Extraction Sums of Squared Loadings

Rotation Sums of Squared Loadings

Total

% of Varianc

e

Cumulati ve %

Total

% of Varian

ce

Cumulati ve %

Total

% of Varian

ce

Cumulati ve %

1

7.102

35.508

35.508

7.102

35.508

35.508

3.002

15.011

15.011

2

1.686

8.430

43.938

1.686

8.430

43.938

2.513

12.567

27.577

3

1.424

7.120

51.058

1.424

7.120

51.058

2.436

12.182

39.760

4

1.198

5.992

57.050

1.198

5.992

57.050

2.113

10.566

50.325

5

1.163

5.817

62.867

1.163

5.817

62.867

2.045

10.223

60.548

6

1.080

5.401

68.269

1.080

5.401

68.269

1.544

7.720

68.269

7

.922

4.608

72.877







8

.677

3.386

76.262







9

.656

3.281

79.543







10

.614

3.069

82.611







11

.564

2.819

85.430







12

.477

2.387

87.817







13

.406

2.028

89.845







14

.381

1.905

91.750







15

.351

1.753

93.503







16

.326

1.630

95.132







17

.317

1.583

96.715







18

.244

1.220

97.935







19

.221

1.104

99.039







20

.192

.961

100.000







Extraction Method: Principal Component Analysis.


Component Matrixa


Component

1

2

3

4

5

6

LIND1

.696



.527




SDU1

.694

SDB1

.659

LIND2

.655

LIND3

.642

PTHH4

.642

DTC3

.638

PTHH5

.634

SDU4

.602

PTHH2

.585

DTC4

.585

PTHH1

.578

SDB3

.575

SDB2

.549

SDU2

.541

DTC2

.538

CP3

.530

CP2

.527

DTC1

.509

SDU3


Extraction Method: Principal Component Analysis.

a. 6 components extracted.


Rotated Component Matrixa


Component

1

2

3

4

5

6

LIND2

.821






LIND3

.790






LIND1

.758






SDU1

.566






SDB2


.811





SDB3


.743





SDB1


.692





PTHH4



.726




PTHH2



.719




PTHH1



.717




PTHH5



.711




DTC2




.757



DTC1




.744



DTC3




.559



DTC4







SDU3





.828


SDU2





.739


SDU4





.664


CP2






.728

CP3






.645

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

a. Rotation converged in 10 iterations.


Component Transformation Matrix

Componen t

1

2

3

4

5

6

1

.526

.440

.438

.398

.364

.218

2

-.612

.550

.489

-.103

-.110

-.248

3

-.131

-.460

.232

.240

.558

-.590

4

-.458

.246

-.516

.212

.560

.323

5

.019

-.142

.287

-.770

.445

.327

6

-.349

-.459

.408

.369

-.179

.576

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


Lần 3


KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.847

Bartlett's Test of Sphericity

Approx. Chi-Square

1212.385

df

171

Sig.

.000


Communalities


Initial

Extraction

DTC1

1.000

.676

DTC2

1.000

.729

DTC3

1.000

.502

LIND1

1.000

.703

LIND2

1.000

.783

LIND3

1.000

.738

SDU1

1.000

.575

SDU2

1.000

.663

SDU3

1.000

.740

SDU4

1.000

.654

PTHH1

1.000

.754

PTHH2

1.000

.710

PTHH4

1.000

.768

PTHH5

1.000

.779

SDB1

1.000

.634

SDB2

1.000

.750

SDB3

1.000

.699

CP2

1.000

.694

CP3

1.000

.692

Extraction Method: Principal Component Analysis.


Total Variance Explained

Compone nt

Initial Eigenvalues

Extraction Sums of Squared Loadings

Rotation Sums of Squared Loadings

Total

% of Varianc

e

Cumulati ve %

Total

% of Varian

ce

Cumulati ve %

Total

% of Varian

ce

Cumulati ve %

1

6.793

35.754

35.754

6.793

35.754

35.754

2.876

15.138

15.138

2

1.680

8.844

44.599

1.680

8.844

44.599

2.406

12.665

27.803

3

1.404

7.391

51.990

1.404

7.391

51.990

2.348

12.355

40.159

4

1.197

6.301

58.290

1.197

6.301

58.290

2.048

10.777

50.936

5

1.125

5.920

64.210

1.125

5.920

64.210

1.914

10.073

61.009

6

1.043

5.489

69.700

1.043

5.489

69.700

1.651

8.691

69.700

7

.778

4.096

73.796







8

.665

3.502

77.298







9

.655

3.448

80.746







10

.571

3.007

83.753







11

.513

2.701

86.454







12

.463

2.438

88.893







13

.401

2.110

91.003







14

.357

1.879

92.882







15

.327

1.719

94.601







16

.320

1.685

96.286







17

.289

1.522

97.808







18

.222

1.167

98.975







19

.195

1.025

100.000







Extraction Method: Principal Component Analysis.

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