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SDU4

1.000

.520

THQ1

1.000

.663

THQ2

1.000

.900

THQ3

1.000

.618

THQ4

1.000

.837

CCQ1

1.000

.597

CCQ2

1.000

.719

CCQ3

1.000

.703

CCQ4

1.000

.665

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Extraction Method: Principal Component Analysis.


Total Variance Explained


Componen t

Initial Eigenvalues

Extraction Sums of Squared Loadings

Rotation Sums of Squared Loadings

Total

% of

Varianc e

Cumulativ e %

Total

% of

Varianc e

Cumulativ e %

Total

% of

Varianc e

Cumulativ e %


1

5.48

1


23.829


23.829

5.48

1


23.829


23.829

2.88

0


12.524


12.524

2

2.14

7

9.336

33.166

2.14

7

9.336

33.166

2.30

6

10.028

22.552

3

1.77

6

7.723

40.888

1.77

6

7.723

40.888

2.29

5

9.977

32.528

4

1.62

8

7.078

47.967

1.62

8

7.078

47.967

2.09

6

9.114

41.642

5

1.49

1

6.481

54.448

1.49

1

6.481

54.448

1.93

7

8.420

50.062

6

1.36

4

5.930

60.378

1.36

4

5.930

60.378

1.86

8

8.124

58.186

7

1.17

2

5.097

65.475

1.17

2

5.097

65.475

1.67

7

7.289

65.475

8

.964

4.193

69.668







9

.901

3.915

73.584







10

.730

3.173

76.757







11

.678

2.946

79.703







12

.652

2.834

82.537







13

.549

2.389

84.925







14

.516

2.245

87.170







15

.488

2.122

89.292








16

.473

2.057

91.349







17

.437

1.898

93.247

18

.371

1.612

94.859

19

.358

1.557

96.416

20

.291

1.265

97.681

21

.252

1.097

98.778

22

.234

1.015

99.794

23

.047

.206

100.000

Extraction Method: Principal Component Analysis.


Rotated Component Matrixa



Component

1

2

3

4

5

6

7

THQ2

.908







THQ4

.866







THQ1

.740







THQ3

.706







SDU3


.851






SDU2


.708






SDU1


.659






SDU4


.597






TH2



.746





TH3



.735





TH4



.664





TH1



.636





GC2




.766




GC3




.764




GC4




.617




GC1




.595




CLSP2





.810



CLSP3





.750



CLSP1





.679



CCQ2






.774


CCQ1






.742


CCQ4







.751

CCQ3







.657

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

a. Rotation converged in 7 iterations.


Component Transformation Matrix


Component

1

2

3

4

5

6

7

1

.506

.405

.414

.345

.348

.298

.282

2

-.752

.425

.148

.455

.080

-.132

.007

3

-.111

-.070

-.663

.274

-.004

.622

.284

4

.001

-.600

.008

.429

.596

-.109

-.297

5

-.344

-.475

.545

-.195

-.063

.352

.439

6

-.218

.252

-.063

-.596

.624

.295

-.231

7

.007

.012

.255

.145

-.353

.533

-.711

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


Kết quả phân tích nhân tố khám phá EFA cho các biến phụ thuộc

Kết quả phân tích nhân tố khám phá EFA cho các biến phụ thuộc lần 1


KMO and Bartlett's Test


Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.613

Approx. Chi-Square

176.758

Bartlett's Test of Sphericity df

6

Sig.

.000


Communalities



Initial

Extraction

QDSU1

1.000

.249

QDSD2

1.000

.583

QDSU3

1.000

.788

QDSU4

1.000

.644

Extraction Method: Principal Component Analysis.


Total Variance Explained


Component

Initial

Eigenvalues

Extraction Sums of Squared Loadings

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

1

2.263

56.582

56.582

2.263

56.582

56.582

2

.951

23.786

80.368




3

.556

13.890

94.258




4

.230

5.742

100.000




Extraction Method: Principal Component Analysis.


Component Matrixa



Component

1

QDSU3

.888

QDSU4

.802

QDSD2

.764

QDSU1


Extraction Method: Principal Component Analysis.

a. 1 components extracted.


Kết quả phân tích nhân tố khám phá EFA cho các biến phụ thuộc lần 2


KMO and Bartlett's Test


Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.589

Approx. Chi-Square

155.798

Bartlett's Test of Sphericity df

3

Sig.

.000


Communalities



Initial

Extraction

QDSD2

1.000

.536

QDSU3

1.000

.852

QDSU4

1.000

.721


Extraction Method: Principal Component Analysis.


Total Variance Explained


Component

Initial

Eigenvalues

Extraction Sums of Squared Loadings

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative

%

1

2.110

70.328

70.328

2.110

70.328

70.328

2

.659

21.976

92.304




3

.231

7.696

100.000




Extraction Method: Principal Component Analysis.


Component Matrixa



Component

1

QDSU3 QDSU4

QDSD2

.923

.849

.732

Extraction Method: Principal Component Analysis.

a. 1 components extracted.


4. Phân tích tương quan Pearson


Correlations



QDSD

TH

GC

CLSP

SDU

THQ

CCQ

PV

Pearson Correlation

QDSD Sig. (2-tailed)

N

Pearson

TH Correlation Sig. (2-tailed)

N

Pearson

GC Correlation Sig. (2-tailed)


1

.447**

.474**

.391**

.510**

.435**

.386**

.402**


.000

.000

.000

.000

.000

.000

.000

139

139

139

139

139

139

139

139

.447**

1

.272**

.297**

.335**

.250**

.113

.248**

.000


.001

.000

.000

.003

.184

.003

139

140

140

140

140

140

140

140

.474**

.272**

1

.328**

.320**

.178*

.204*

.264**

.000

.001


.000

.000

.035

.016

.002



CLSP


SDU


THQ


CCQ


PV

N

Pearson Correlation Sig. (2-tailed) N

Pearson Correlation Sig. (2-tailed) N

Pearson Correlation Sig. (2-tailed) N

Pearson Correlation Sig. (2-tailed) N

Pearson Correlation Sig. (2-tailed)

N

139

140

140

140

140

140

140

140

.391**

.297**

.328**

1

.253**

.269**

.238**

.186*

.000

.000

.000


.003

.001

.005

.028

139

140

140

140

140

140

140

140

.510**

.335**

.320**

.253**

1

.246**

.218**

.285**

.000

.000

.000

.003


.003

.010

.001

139

140

140

140

140

140

140

140

.435**

.250**

.178*

.269**

.246**

1

.233**

.282**

.000

.003

.035

.001

.003


.006

.001

139

140

140

140

140

140

140

140

.386**

.113

.204*

.238**

.218**

.233**

1

.368**

.000

.184

.016

.005

.010

.006


.000

139

140

140

140

140

140

140

140

.402**

.248**

.264**

.186*

.285**

.282**

.368**

1

.000

.003

.002

.028

.001

.001

.000


139

140

140

140

140

140

140

140

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

*. Correlation is significant at the 0.05 level (2-tailed).


5. Hồi quy tuyến tính

Variables Entered/Removeda


Model

Variables Entered

Variables Removed

Method


1

CCQ, TH, GC, THQ, CLSP, SDUb


.


Enter

a. Dependent Variable: QDSD

b. All requested variables entered.


Model Summaryb


Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

Durbin- Watson

1

.723a

.523

.501

.43703

2.189

a. Predictors: (Constant), CCQ, TH, GC, THQ, CLSP, SDU


b. Dependent Variable: QDSD


ANOVAa


Model

Sum of Squares

df

Mean Square

F

Sig.


Regression

27.610

6

4.602

24.093

.000b

1

Residual

25.211

132

.191




Total

52.822

138




a. Dependent Variable: QDSD

b. Predictors: (Constant), CCQ, TH, GC, THQ, CLSP, SDU

Coefficientsa


Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

Collinearity Statistics

B

Std. Error

Beta

Tolerance

VIF


(Constant)

-.139

.352


-.394

.694




TH

.189

.075

.173

2.526

.013

.772

1.295


GC

.230

.065

.236

3.530

.001

.810

1.235

1

CLSP

.079

.058

.092

1.363

.175

.792

1.263


SDU

.224

.059

.257

3.799

.000

.791

1.264


THQ

.155

.047

.215

3.299

.001

.850

1.176


CCQ

.146

.049

.190

2.964

.004

.883

1.132

a. Dependent Variable: QDSD


Collinearity Diagnosticsa


Model

Dimension

Eigenvalue

Condition Index

Variance Proportions

(Constant)

TH

GC

CLSP

SDU

THQ

CCQ


1

6.870

1.000

.00

.00

.00

.00

.00

.00

.00


2

.034

14.261

.00

.00

.05

.02

.02

.94

.01


3

.031

14.862

.00

.04

.02

.02

.03

.00

.90

1

4

.024

16.919

.00

.00

.00

.68

.36

.00

.00


5

.018

19.619

.03

.01

.49

.25

.45

.01

.00


6

.015

21.489

.07

.52

.36

.03

.13

.05

.00


7

.009

28.186

.89

.43

.08

.00

.00

.00

.08

a. Dependent Variable: QDSD


Residuals Statisticsa



Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

2.3941

4.8016

3.9335

.44730

139

Residual

-1.00236

1.19037

.00000

.42742

139

Std. Predicted Value

-3.441

1.941

.000

1.000

139

Std. Residual

-2.294

2.724

.000

.978

139

a. Dependent Variable: QDSD

3 441 1 941 000 1 000 139 Std Residual 2 294 2 724 000 978 139 a Dependent Variable QDSD 1

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