Luận văn Thạc sĩ Kinh tế: Tác động của Sự hài lòng trong công việc và Cam kết với tổ chức đến Ý định nghỉ việc: Một nghiên cứu tại các đơn vị sự nghiệp hành chính cấp Phường thuộc Quận 11 - Tp. HCM
2,637
590
126
PL5 – 21
b. Predictors: (Constant), JS
Coefficients
a
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
1.559
.238
6.547
.000
JS
.494
.069
.517
7.190
.000
a. Dependent Variable: AC
Kiểm định H2
Model Summary
Model
R
R Square
Adjusted R
Square
Std. Error of the
Estimate
1
.781
a
.609
.607
.56029
a. Predictors: (Constant), JS
ANOVA
a
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
69.538
1
69.538
221.512
.000
b
Residual
44.577
142
.314
Total
114.116
143
a. Dependent Variable: CC
b. Predictors: (Constant), JS
Coefficients
a
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
.867
.162
5.341
.000
JS
.697
.047
.781
14.883
.000
a. Dependent Variable: CC
PL5 – 22
Kiểm định H3
Model Summary
Model
R
R Square
Adjusted R
Square
Std. Error of the
Estimate
1
.746
a
.557
.554
.59469
a. Predictors: (Constant), JS
ANOVA
a
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
63.167
1
63.167
178.610
.000
b
Residual
50.220
142
.354
Total
113.387
143
a. Dependent Variable: NC
b. Predictors: (Constant), JS
Coefficients
a
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
1.271
.172
7.382
.000
JS
.665
.050
.746
13.364
.000
a. Dependent Variable: NC
Kiểm định H4
Model Summary
Model
R
R Square
Adjusted R
Square
Std. Error of the
Estimate
1
.670
a
.449
.445
.83828
a. Predictors: (Constant), JS
ANOVA
a
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
81.183
1
81.183
115.528
.000
b
PL5 – 23
Residual
99.785
142
.703
Total
180.968
143
a. Dependent Variable: TI
b. Predictors: (Constant), JS
Coefficients
a
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
5.091
.243
20.971
.000
JS
-.753
.070
-.670
-10.748
.000
a. Dependent Variable: TI
Phân tích kiểm định giả thuyết H5, H6, H7
Kiểm định H5
Model Summary
Model
R
R Square
Adjusted R
Square
Std. Error of the
Estimate
1
.680
a
.463
.455
.83034
a. Predictors: (Constant), AC, JS
ANOVA
a
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
83.753
2
41.877
60.737
.000
b
Residual
97.215
141
.689
Total
180.968
143
a. Dependent Variable: TI
b. Predictors: (Constant), AC, JS
Coefficients
a
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
Collinearity Statistics
PL5 – 24
B
Std. Error
Beta
Tolerance
VIF
1
(Constant)
5.346
.274
19.485
.000
JS
-.673
.081
-.598
-8.294
.000
.733
1.364
AC
-.164
.085
-.139
-1.931
.056
.733
1.364
a. Dependent Variable: TI
Kiểm định H6
Model Summary
Model
R
R Square
Adjusted R
Square
Std. Error of the
Estimate
1
.696
a
.484
.477
.81349
a. Predictors: (Constant), CC, JS
ANOVA
a
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
87.660
2
43.830
66.232
.000
b
Residual
93.309
141
.662
Total
180.968
143
a. Dependent Variable: TI
b. Predictors: (Constant), CC, JS
Coefficients
a
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
Collinearity Statistics
B
Std. Error
Beta
Tolerance
VIF
1
(Constant)
5.421
.258
20.999
.000
JS
-.488
.109
-.433
-4.480
.000
.391
2.560
CC
-.381
.122
-.303
-3.128
.002
.391
2.560
a. Dependent Variable: TI
Kiểm định H7
PL5 – 25
Model Summary
Model
R
R Square
Adjusted R
Square
Std. Error of the
Estimate
1
.686
a
.471
.463
.82417
a. Predictors: (Constant), NC, JS
ANOVA
a
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
85.194
2
42.597
62.711
.000
b
Residual
95.775
141
.679
Total
180.968
143
a. Dependent Variable: TI
b. Predictors: (Constant), NC, JS
Coefficients
a
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
Collinearity Statistics
B
Std. Error
Beta
Tolerance
VIF
1
(Constant)
5.450
.281
19.412
.000
JS
-.566
.104
-.503
-5.462
.000
.443
2.258
NC
-.283
.116
-.224
-2.430
.016
.443
2.258
a. Dependent Variable: TI
Phân tích hồi quy đầy đủ các yếu tố ảnh hưởng
Model Summary
Model
R
R Square
Adjusted R
Square
Std. Error of the
Estimate
1
.710
a
.504
.489
.80395
a. Predictors: (Constant), NC, AC, CC, JS
ANOVA
a
Model
Sum of Squares
df
Mean Square
F
Sig.
PL5 – 26
1
Regression
91.128
4
22.782
35.248
.000
b
Residual
89.840
139
.646
Total
180.968
143
a. Dependent Variable: TI
b. Predictors: (Constant), NC, AC, CC, JS
Coefficients
a
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
Collinearity Statistics
B
Std. Error
Beta
Tolerance
VIF
1
(Constant)
5.812
.306
19.008
.000
JS
-.350
.124
-.311
-2.825
.005
.295
3.394
AC
-.139
.083
-.118
-1.678
.096
.721
1.386
CC
-.292
.128
-.232
-2.290
.024
.348
2.872
NC
-.197
.119
-.156
-1.655
.100
.401
2.496
a. Dependent Variable: TI