Kết Quả Định Lượng Chính Thức (N = 917)

Cronbach's Alpha


Item Statistics


Mean

Std. Deviation

N

BSQ1

2.3216

.65612

465

BSQ2

2.4209

.67922

465

BSQ3

2.3686

.65527

465

BSQ4

2.4170

.70338

465

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Item-Total Statistics


Scale Mean if Item Deleted

Scale Variance if Item Deleted

Corrected Item-Total

Correlation

Cronbach's Alpha if Item

Deleted

BSQ1

7.2065

3.232

.678

.857

BSQ2

7.1072

2.936

.801

.808

BSQ3

7.1595

3.252

.669

.860

BSQ4

7.1111

2.921

.768

.822


Scale Statistics

Mean

Variance

Std. Deviation

N of Items

9.5281

5.263

2.29404

4



KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.806


Approx. Chi-Square

29953.436

Bartlett's Test of Sphericity

df

741


Sig.

.000


Communalities


Initial

Extraction

CBS1

1.000

.880

CBS2

1.000

.934

CBS3

1.000

.882

Res1

1.000

.950

Res2

1.000

.856

Res3

1.000

.878

Res4

1.000

.935

Tan1

1.000

.782

Tan2

1.000

.707

Tan3

1.000

.668

Tan4

1.000

.780

COM1

1.000

.896

COM2

1.000

.851

COM3

1.000

.862

COM4

1.000

.892

BSQ1

1.000

.688

BSQ2

1.000

.813

BSQ3

1.000

.659

BSQ4

1.000

.779

Rel1

1.000

.908

Rel2

1.000

.857

Rel3

1.000

.877

Rel4

1.000

.927

Man1

1.000

.904

Man2

1.000

.854

Man3

1.000

.846

Man4

1.000

.895

Emp1

1.000

.695

Emp2

1.000

.822

Emp3

1.000

.652

Emp4

1.000

.765

Tec1

1.000

.616

Tec2

1.000

.780

Tec3

1.000

.599

Tec4

1.000

.869

Tec5

1.000

.851

Cri1

1.000

.889

Cri2

1.000

.937

Cri3

1.000

.882

Extraction Method: Principal Component Analysis.


Total Variance Explained

Com.

Initial Eigenvalues

Extraction Sums of Squared Loadings

Rotation Sums of Squared

Loadingsa

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

Total

1

6.997

17.940

17.940

6.997

17.940

17.940

4.194

2

4.782

12.262

30.202

4.782

12.262

30.202

5.152

3

4.016

10.296

40.499

4.016

10.296

40.499

4.092

4

3.569

9.151

49.650

3.569

9.151

49.650

3.720

5

3.015

7.730

57.380

3.015

7.730

57.380

4.170

6

2.577

6.608

63.988

2.577

6.608

63.988

4.685

7

2.273

5.828

69.816

2.273

5.828

69.816

3.112

8

2.149

5.511

75.326

2.149

5.511

75.326

3.077

9

1.508

3.868

79.194

1.508

3.868

79.194

2.882

10

1.235

3.167

82.361

1.235

3.167

82.361

4.818

11

.748

1.917

84.278





12

.687

1.762

86.040





13

.506

1.298

87.338





14

.456

1.170

88.509





15

.424

1.088

89.597





16

.343

.881

90.477





17

.335

.859

91.337





18

.296

.759

92.095





19

.284

.728

92.823





20

.273

.699

93.522





21

.255

.655

94.177





22

.222

.569

94.746





23

.207

.532

95.278





24

.204

.524

95.803





25

.176

.451

96.253





26

.172

.441

96.694





27

.167

.427

97.121





28

.163

.418

97.539





29

.141

.362

97.901





30

.138

.355

98.256





31

.118

.302

98.558





32

.099

.254

98.812





33

.096

.245

99.057





34

.089

.229

99.287





35

.084

.216

99.503





36

.078

.199

99.702





37

.067

.171

99.873





38

.028

.071

99.944





39

.022

.056

100.000





Extraction Method: Principal Component Analysis.

a. When components are correlated, sums of squared loadings cannot be added to obtain a total variance.


Component Matrixa


Component

1

2

3

4

5

6

7

8

9

10

CBS1

.762








.517



Rel4

.761






Rel3

.754






CBS2

.754





-.517

Rel1

.752






CBS3

.701





-.521

Rel2

.691






BSQ2

.648






BSQ4

.584






BSQ3

.584






BSQ1

.541






Tec4


.641





Tec5


.628





Tec2


.619





Tec3


.592





Tec1


.589





Man1


.577





Man4


.568





Man3


.559





Man2


.542





Res1



-.748




Res4



-.742




Res2



-.704




Res3



-.682




COM4




.675



COM1




.670



COM3




.665



COM2




.646



Cri2




-.529



Cri3




-.513



Tan2







Tan4







Tan1







Tan3







Emp1





.564


Emp4





.564


Emp2





.561


Emp3





.521


Cri1







Extraction Method: Principal Component Analysis.

a. 10 components extracted.


Pattern Matrixa


Component

1

2

3

4

5

6

7

8

9

10

Tec4

.947










Tec5

.943










Tec2

.863










Tec1

.770










Tec3

.730










Rel2


.940









Rel4


.940









Rel1


.934









Rel3


.882









Res1



.971








Res4



.968








Res3



.944








Res2



.913








Com1




.938







Com3




.935







Com4




.935







Com2




.925







Man1





.946






Man4





.939






Man2





.932






Man3





.918






BSQ4






.893





BSQ1






.853





BSQ2






.848





BSQ3






.785





Emp2







.901




Emp4







.878




Emp1







.832




Emp3







.779




Tan4








.877



Tan1








.860



Tan2








.826



Tan3








.784



Cri2









.963


Cri1









.950


Cri3









.930


CBS3










.947

CBS2










.945

CBS1










.862

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

a. Rotation converged in 6 iterations.


Structure Matrix


Component

1

2

3

4

5

6

7

8

9

10

Tec4

.931










Tec5

.920










Tec2

.878










Tec1

.778










Tec3

.765










Rel4


.962








.507

Rel1


.951








.511

Rel3


.932








.544

Rel2


.920









Res1



.974








Res4



.966








Res3



.934








Res2



.922








Com1




.945







Com4




.943







Com3




.926







Com2




.920







Man1





.949






Man4





.946






Man2





.923






Man3





.919






BSQ2






.896





BSQ4






.879





BSQ1






.820





BSQ3






.805





Emp2







.900




Emp4







.872




Emp1







.828




Emp3







.793




Tan4








.871



Tan1








.867



Tan2








.830



Tan3








.783



Cri2









.967


Cri1









.941


Cri3









.937


CBS2


.512








.966

CBS3










.938

CBS1


.561




.508




.932

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


Component Correlation Matrix

Component

1

2

3

4

5

6

7

8

9

10

1

1.000

.099

.012

.063

.314

-.052

-.106

-.018

-.047

.138

2

.099

1.000

.139

.014

.129

.444

-.019

.040

.081

.508

3

.012

.139

1.000

.108

.045

.206

-.147

-.165

-.006

.146

4

.063

.014

.108

1.000

.114

.128

-.054

-.009

-.111

.083

5

.314

.129

.045

.114

1.000

.066

-.081

-.081

.066

.190

6

-.052

.444

.206

.128

.066

1.000

.108

.123

.056

.499

7

-.106

-.019

-.147

-.054

-.081

.108

1.000

.031

.033

.014

8

-.018

.040

-.165

-.009

-.081

.123

.031

1.000

-.103

.105

9

-.047

.081

-.006

-.111

.066

.056

.033

-.103

1.000

.077

10

.138

.508

.146

.083

.190

.499

.014

.105

.077

1.000

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


PHỤ LỤC 06: KẾT QUẢ ĐỊNH LƯỢNG CHÍNH THỨC (N = 917)


Statistics


Giới tính

Tình trạng hôn nhân

Tuổi

Thu nhập bình quân hàng

Nghề nghiệp


N

Valid

917

917

917

917

917

Missing

0

0

0

0

0


Frequency Table


Giới tính


Frequency

Percent

Valid Percent

Cumulative Percent


Nam

412

44.9

44.9

44.9

Valid

Nữ

505

55.1

55.1

100.0


Total

917

100.0

100.0



Tình trạng hôn nhân


Frequency

Percent

Valid Percent

Cumulative Percent


Độc thân

386

42.1

42.1

42.1

Valid

Có gia đình

531

57.9

57.9

100.0


Total

917

100.0

100.0



Tuổi


Frequency

Percent

Valid Percent

Cumulative Percent


Từ 18 đến dưới 25

tuổi

72

7.9

7.9

7.9


Từ 25 đến dưới 35

tuổi

221

24.1

24.1

32.0

Valid

Từ 35 đến dưới 45

tuổi

480

52.3

52.3

84.3


Từ 45 đến 55 tuổi

101

11.0

11.0

95.3


Trên 55 tuổi

43

4.7

4.7

100.0


Total

917

100.0

100.0


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