Các yếu tố tác động đến ý định sử dụng dịch vụ Chính phủ điện tử - Nghiên cứu trường hợp ngành thuế Tỉnh Long An - 11

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.715

Bartlett's Test of Sphericity

Approx. Chi-Square

159.666

df

3

Sig.

.000

Compone nt

Initial Eigenvalues

Extraction Sums of Squared

Loadings

Total

% of

Variance

Cumulative

%

Total

% of

Variance

Cumulative

%

1

2.282

76.077

76.077

2.282

76.077

76.077

2

.422

14.053

90.130

3

.296

9.870

100.000

Extraction Method: Principal Component Analysis.

Model

Variables Entered

Variables Removed

Method

1

X5, X1, X4, X3, X2b

.

Enter

a. Dependent Variable: Y

b. All requested variables entered.

Model

R

R

Square

Adjusted R Square

Std. Error of the Estimate

Change Statistics

Durbin- Watson

R Square Change

F

Change

df1

df2

Sig. F

Chang e

1

.851a

.724

.713

.5202418

.724

65.030

5

124

.000

1.878

a. Predictors: (Constant), X5, X1, X4, X3, X2

b. Dependent Variable: Y

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

88.002

5

17.600

65.030

.000b

Residual

33.561

124

.271

Total

121.563

129

a. Dependent Variable: Y

b. Predictors: (Constant), X5, X1, X4, X3, X2

Y

X1

X2

X3

X4

X5

Y

Pearson Correlation

1

.570**

.659**

.595**

.628**

.620**

Sig. (2-tailed)

.000

.000

.000

.000

.000

N

130

130

130

130

130

130

X1

Pearson Correlation

.570**

1

.315**

.342**

.308**

.306**

Sig. (2-tailed)

.000

.000

.000

.000

.000

N

130

130

130

130

130

130

X2

Pearson Correlation

.659**

.315**

1

.388**

.567**

.566**

Sig. (2-tailed)

.000

.000

.000

.000

.000

N

130

130

130

130

130

130

Pearson

Correlation

.595**

.342**

.388**

1

.369**

.450**

Sig. (2-tailed)

.000

.000

.000

.000

.000

N

130

130

130

130

130

130

X4

Pearson Correlation

.628**

.308**

.567**

.369**

1

.429**

Sig. (2-tailed)

.000

.000

.000

.000

.000

N

130

130

130

130

130

130

X5

Pearson Correlation

.620**

.306**

.566**

.450**

.429**

1

Sig. (2-tailed)

.000

.000

.000

.000

.000

N

130

130

130

130

130

130

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

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

Collinearity Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

-1.152

.348

-3.314

.001

X1

.293

.054

.284

5.467

.000

.825

1.212

X2

.258

.071

.235

3.660

.000

.542

1.846

X3

.222

.053

.231

4.171

.000

.723

1.383

X4

.243

.060

.239

4.046

.000

.637

1.570

X5

.200

.063

.193

3.183

.002

.606

1.651

a. Dependent Variable: Y

Minimum

Maximum

Mean

Std.

Deviation

N

Predicted Value

.753766

7.125405

4.971795

.8259477

130

Residual

-1.3428757

1.2370565

0E-7

.5100600

130

Std. Predicted Value

-5.107

2.607

.000

1.000

130

Std. Residual

-2.581

2.378

.000

.980

130

a. Dependent Variable: Y

GT

N

Mean

Std.

Deviation

Std. Error Mean

Y

Nam

71

5.028169

.8886345

.1054615

Nữ

59

4.903955

1.0650326

.1386554

Levene's Test for Equality of

Variances

t-test for Equality of Means

F

Sig.

t

df

Sig. (2-

tailed)

Mean Difference

Std. Error Differenc

e

95% Confidence Interval of the Difference

Lower

Upper

Y

Equal

variances assumed

1.157

.284

.725

128

.470

.1242142

.1713258

-.2147831

.4632116

Equal variances not assumed

.713

113.144

.477

.1242142

.1742052

-.2209130

.4693414

Model

Variables Entered

Variables Removed

Method

1

HT, GT, KNb

.

Enter

a. Dependent Variable: Y

b. All requested variables entered.

Model

R

R

Square

Adjusted R Square

Std. Error of the

Estimate

Change Statistics

Durbin- Watson

R Square Change

F

Change

df1

df2

Sig. F Change

1

.116a

.013

-.010

.9756336

.013

.570

3

126

.636

1.845

a. Predictors: (Constant), HT, GT, KN

b. Dependent Variable: Y

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

1.629

3

.543

.570

.636b

Residual

119.934

126

.952

Total

121.563

129

a. Dependent Variable: Y

b. Predictors: (Constant), HT, GT, KN

Model

Unstandardize

d Coefficients

Standardized

Coefficients

t

Sig.

Collinearity

Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

5.160

.213

24.231

.000

GT

-.111

.172

-.057

-.641

.523

.993

1.007

KN

.034

.062

.084

.547

.585

.331

3.025

HT

-.069

.070

-.153

-.990

.324

.330

3.032

a. Dependent Variable: Y

Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

4.735921

5.329137

4.971795

.1123660

130

Residual

-3.5064883

2.0146818

0E-7

.9642223

130

Std. Predicted Value

-2.099

3.180

.000

1.000

130

Std. Residual

-3.594

2.065

.000

.988

130

a. Dependent Variable: Y