Corporate culture at commercial banks in Quang Ngai province - 28

16

Table 1.2. Summary of Cronbach's Alpha reliability coefficients of the scales


STT

Scale

Number of indicators

Cronbach's Alpha coefficient

1

Bank leader

3

0.891

2

Bank employee

3

0.866

3

Job Characteristics

5

0.807

4

Competitive environment

3

0.854

5

Client

3

0.830

6

Integration process

3

0.769

7

Corporate culture

7

0.671

Total

28


Maybe you are interested!


2. FACTOR ANALYSIS - EFA


2.1. KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.689

Bartlett's Test of Sphericity

Approx. Chi-Square

2019,037

df

190


Sig.

.000


2.2. 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

4,237

21,186

21,186

4,237

21,186

21,186

2,957

14,783

14,783

2

2,688

13,442

34,629

2,688

13,442

34,629

2,663

13,313

28,096

3

2,352

11,760

46,388

2,352

11,760

46,388

2,497

12,483

40,579

4

2.121

10,606

56,995

2.121

10,606

56,995

2,360

11,801

52,379

5

2.002

10,010

67,005

2.002

10,010

67,005

2,310

11,549

63,928

6

1,472

7,361

74,367

1,472

7,361

74,367

2,088

10,438

74,367

7

.817

4,085

78,452







8

.758

3,790

82,241







9

.690

3,450

85,691







10

.559

2,793

88,484







11

.502

2,512

90,996







.395

1,974

92,970







13

.330

1,648

94,618

14

.257

1,286

95,904

15

.243

1,214

97,119

16

.189

.946

98,065

17

.141

.704

98,769

18

.124

.620

99,388

19

.102

.508

99,896

20

.021

.104

100,000

12

Extraction Method: Principal Component Analysis.


2.3. Rotated Component Matrix a


Component

1

2

3

4

5

6

CV1

.896






CV5

.888






CV4

.691






CV2

.682






CV3

.567






NV1


.917





NV3


.912





NV2


.700





LD3



.935




LD1



.913




LD2



.834




CT2




.901



CT1




.870



CT3




.848



KH2





.925


KH4





.913


KH1





.747


HN3






.866

HN4






.792

HN2






.752

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

a. Rotation converged in 5 iterations.


3. CRONBACH'S ALPHA AFTER EFA


Reliability Statistics

Cronbach's Alpha

N of Items

.866

3

Item-Total Statistics


Scale Mean if Item Deleted

Scale Variance if Item Deleted

Corrected Item- Total Correlation

Cronbach's Alpha if Item Deleted

NV1

8.68

2,232

.866

.694

NV2

8.70

2,896

.537

.989

NV3

8.70

2.251

.861

.699


Reliability Statistics

Cronbach's Alpha

N of Items

.854

3

Item-Total Statistics


Scale Mean if Item Deleted

Scale Variance if Item Deleted

Corrected Item- Total Correlation

Cronbach's Alpha if Item Deleted

CT1

8.21

2,297

.704

.816

CT2

8.28

2.113

.772

.750

CT3

8.10

2,462

.705

.816


Reliability Statistics

Cronbach's Alpha

N of Items

.830

3

Item-Total Statistics


Scale Mean if Item Deleted

Scale Variance if Item Deleted

Corrected Item- Total Correlation

Cronbach's Alpha if Item Deleted

KH1

7.29

3,936

.545

.904

KH2

7.26

3.511

.779

.681

KH4

7.14

3,232

.762

.689


Reliability Statistics

Cronbach's Alpha

N of Items

.769

3

Item-Total Statistics


Scale Mean if Item Deleted

Scale Variance if Item Deleted

Corrected Item- Total Correlation

Cronbach's Alpha if Item Deleted

HN2

7.97

3.012

.594

.698

HN3

7.78

2,898

.712

.570

HN4

8.24

3,140

.513

.790


4. PEARSON CORRELATION COEFFICIENT TEST


Correlation matrix between variables

Correlations


CV

NV

LD

CT

KH

HN

VH

CV

Pearson Correlation

1

.229 **

.160 *

.001

-.008

.206 **

.273 **


Sig. (2-tailed)


.004

.046

.991

.924

.010

.001


N

156

156

156

156

156

156

156

NV

Pearson Correlation

.229 **

1

.264 **

.198 *

.064

.333 **

.628 **


Sig. (2-tailed)

.004


.001

.013

.431

.000

.000


N

156

156

156

156

156

156

156

LD

Pearson Correlation

.160 *

.264 **

1

.079

-.006

.173 *

.324 **


Sig. (2-tailed)

.046

.001


.326

.936

.031

.000


N

156

156

156

156

156

156

156

CT

Pearson Correlation

.001

.198 *

.079

1

-.006

.004

.263 **


Sig. (2-tailed)

.991

.013

.326


.937

.961

.001


N

156

156

156

156

156

156

156

KH

Pearson Correlation

-.008

.064

-.006

-.006

1

.015

.460 **


Sig. (2-tailed)

.924

.431

.936

.937


.850

.000


N

156

156

156

156

156

156

156

HN

Pearson Correlation

.206 **

.333 **

.173 *

.004

.015

1

.273 **


Sig. (2-tailed)

.010

.000

.031

.961

.850


.001


N

156

156

156

156

156

156

156

VH

Pearson Correlation

.273 **

.628 **

.324 **

.263 **

.460 **

.273 **

1


Sig. (2-tailed)

.001

.000

.000

.001

.000

.001



N

156

156

156

156

156

156

156

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

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

5. RESULTS OF REGRESSION ANALYSIS


Variables Entered/Removed a

Model

Variables Entered

Variables Removed

Method

1

HN, CT, KH, LD, CV, NV b

.

Enter

a. Dependent Variable: VH

b. All requested variables entered.


Model Summary b


Model


R


R Square


Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1

.802a

.642

.628

.27553

1,750

a. Predictors: (Constant), HN, CT, KH, LD, CV, NV

b. Dependent Variable: VH


ANOVA a


Model

Sum of Squares


df


Mean Square


F


Sig.

1

Regression

20,328

6

3,388

44,628

.000 b


Residual

11,311

149

.076


Total

31,639

155


a. Dependent Variable: VH

b. Predictors: (Constant), HN, CT, KH, LD, CV, NV


Coefficients a


Model

Unstandardized Coefficients

Standardized Coefficients


t


Sig.

Collinearity Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

.727

.247


.130

2,942

.004


.918


1,089

CV

.080

.031

2,551

.012

NV

.286

.033

.480

8,706

.000

.789

1,268

LD

.118

.038

.158

3,071

.003

.912

1,096

CT

.098

.031

.158

3.156

.002

.953

1,049

KH

.215

.025

.431

8,782

.000

.995

1,005

HN

.029

.029

.052

.990

.324

.862

1,160

a. Dependent Variable: VH


Collinearity Diagnostics a




Value

Condition Index

Variance Proportions

Model

Dimension

(Constant)

CV

NV

LD

CT

KH

HN

1

1

6,833

1,000

.00

.00

.00

.00

.00

.00

.00

2

.057

10,937

.00

.03

.01

.00

.00

.84

.04

3

.036

13,774

.00

.05

.00

.00

.46

.03

.32

4

.030

15,057

.00

.70

.02

.00

.03

.00

.35

5

.020

18,537

.00

.07

.65

.07

.24

.00

.25

6

.018

19,535

.03

.08

.32

.54

.08

.02

.00

7

.006

32,679

.97

.07

.00

.38

.18

.10

.04

a. Dependent Variable: VH


Residuals Statistics a


Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

2.8935

4.6870

4.0962

.36214

156

Residual

-1.19490

.66102

.00000

.27014

156

Std. Predicted Value

-3.321

1,631

.000

1,000

156

Std. Residual

-4.337

2,399

.000

.980

156

a. Dependent Variable: VH

6. CHECK FOR LINEAR VIOLATIONS


Comment


Agree Privacy Policy *