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Research on factors affecting the quality of accounting information systems in Vietnamese traffic construction enterprises - 26


* Cronbach's Alpha analysis 1st time for MC Reliability Statistics variable

Cronbach's Alpha

Number of observed variables

0.913

6

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Variable – total correction



Scale

Scale Mean if Item Deleted

variable)

Scale Variance if Item Deleted

variable)


Corrected Item- Total Correlation

total adjustment)

Cronbach's Alpha if Item Deleted (Cronbach's Alpha if removed

variable)

MC1

17.87

15,055

0.705

0.905

MC2

17.79

14,545

0.794

0.892

MC3

17.71

14,921

0.777

0.895

MC4

17.60

15,154

0.798

0.893

MC5

17.96

15,044

0.682

0.909

MC6

17.73

14,804

0.795

0.892


* Cronbach's Alpha analysis 1st time for TMS Reliability Statistics variable

Cronbach's Alpha

Number of observed variables

0.918

4


Variable – total correction



Scale


Scale Mean if Item Deleted

variable)


Scale Variance if Item Deleted

variable)


Corrected Item- Total Correlation

total adjustment)

Cronbach's Alpha if Item Deleted (Cronbach's Alpha if removed

variable)

TMS1

5.82

2,628

0.754

0.912

TMS2

5.78

2,616

0.823

0.890

TMS3

5.78

2,480

0.792

0.900

TMS4

5.78

2,387

0.881

0.868


* Cronbach's Alpha analysis 1st time for MK Reliability Statistics variable

Cronbach's Alpha

Number of observed variables

0.923

4


Variable – total correction



Scale

Scale Mean if Item Deleted

variable)

Scale Variance if Item Deleted

variable)


Corrected Item- Total Correlation

total adjustment)

Cronbach's Alpha if Item Deleted (Cronbach's Alpha if removed

variable)

MK1

11.23

5,121

0.809

0.904

MK2

11.27

5,031

0.820

0.901

MK3

11.37

4,886

0.782

0.915

MK4

11.34

4,832

0.882

0.879


* Cronbach's Alpha analysis 1 for FP Reliability Statistics variable

Cronbach's Alpha

Number of observed variables

0.882

4


Variable – total correction



Scale

Scale Mean if Item Deleted

variable)

Scale Variance if Item Deleted

variable)


Corrected Item- Total Correlation

total adjustment)

Cronbach's Alpha if Item Deleted (Cronbach's Alpha if removed

variable)

FP1

11.85

3,159

0.784

0.833

FP2

11.99

3,190

0.777

0.835

FP3

11.90

3,176

0.703

0.867

FP4

11.83

3,590

0.727

0.858


Appendix 4.3: Results of EFA analysis of the official study Part 1: EFA analysis for independent variables

KMO and Bartlett's test


KMO coefficient

0.884

Bartlett's test

Approximate Chi-square value

6,182,799

Number of degrees of freedom (df)

703

Significance level (Sig.)

0.000


Testing the level of explanation of observed variables for factors



Component variable


Eigenvalues ​​Criteria


Extraction Sums of Squared Loadings

Rotation Sums of Squared

Loadings a


Total

%

explained variance

Okay


%

cumulative variance


Total


% explained variance


%

cumulative variance


Total

1

10,994

28,932

28,932

10,677

28,098

28,098

6,301

2

4,129

10,865

39,797

3,849

10,130

38,227

6,794

3

3,227

8,491

48,288

2,929

7,709

45,936

5,440

4

2,840

7,473

55,761

2,518

6,626

52,562

3,859

5

2,363

6,219

61,980

2,041

5,372

57,934

5,062

6

2,105

5,538

67,518

1,794

4,721

62,655

6,581

7

1,379

3,629

71,148

1,110

2,921

65,576

5,953

8

1,347

3,544

74,692

1,027

2,704

68,279

6,642

9

0.761

2,002

76,694





10

0.579

1,523

78,217





11

0.554

1,457

79,674





12

0.531

1,396

81,071





13

0.518

1,363

82,433






14

0.462

1,216

83,649





15

0.452

1,189

84,838





16

0.423

1,114

85,952





17

0.398

1,048

87,000





18

0.371

0.977

87,977





19

0.361

0.950

88,927





20

0.348

0.917

89,844





21

0.340

0.895

90,739





22

0.320

0.841

91,580





23

0.309

0.813

92,393





24

0.296

0.780

93,173





25

0.265

0.698

93,871





26

0.257

0.675

94,546





27

0.246

0.646

95,193





28

0.242

0.637

95,830





29

0.230

0.607

96,436





30

0.206

0.543

96,979





31

0.183

0.481

97,460





32

0.179

0.471

97,932





33

0.170

0.448

98,379





34

0.159

0.419

98,798





35

0.139

0.365

99,164





36

0.122

0.322

99,485





37

0.110

0.291

99,776





38

0.085

0.224

100,000





Extraction method: principal component analysis

a. When factors are correlated, the sum of squared variances cannot be added to form the total variance.


Pattern Matrix a



Factor

1

2

3

4

5

6

7

8

MC2

0.894








MC4

0.834








MC6

0.821








MC3

0.811








MC5

0.731








MC1

0.683








Q_AIS4


0.888







Q_AIS7


0.825







Q_AIS5


0.807







Q_AIS2


0.791







Q_AIS3


0.727







Q_AIS1


0.643







TE5



0.888






TE2



0.887






TE3



0.838






TE4



0.832






TE1



0.772






TMS4




0.939





TMS1




0.839





TMS3




0.821





TMS2




0.816





IT7





0.853




IT6





0.822





IT1





0.777




IT5





0.764




IT2





0.653




MK4






0.917



MK2






0.903



MK1






0.821



MK3






0.806



FP4







0.883


FP2







0.852


FP1







0.780


FP3







0.627


OC5








0.926

OC2








0.817

OC3








0.671

OC4








0.593

Extraction method: Principal component analysis

Factor rotation method: Factor rotation of Kaiser Normalization.

a. Factor rotation allows 6 repetitions


Appendix 4.4: Impact of enterprise size on quality of information technology and operational efficiency

Test 2 independent samples



Levene's test for equality of variances


t-test for equality of means


F test value


Test significance level (Sig.)


Test value (t)


Number of degrees of freedom (df)


Test significance level Sig. (2-

tailed)


Mean Difference


Difference error (Std.

Error Difference)

95% Confidence Interval of the Difference

Lowest

Upper

Q_ AI S

Equal population variance


6,196


0.014


-11,285


220


0.000


-0.92721


0.08217


-1.08


-0.765

Unequal population variances




-12,517


195,385


0.000


-0.92721


0.07408


-1.07


-0.781

FP

Equal population variance


0.799


0.372


4,417


220


0.000


0.35646


0.08070


0.197


0.515

Unequal population variances




4,769


183,139


0.000


0.35646


0.07474


0.209


0.503


Appendix 4.5: Multi-group analysis by enterprise size (Medium size) of the variability model


Appendix 4.6: Multi-group analysis by enterprise size (Large size) of the variability model


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