Sự tiện lợi
Reliability Statistics
Cronbach's
Alpha N of Items
.734 5
Item-Total Statistics
Corrected Item-
Cronbach's
Sự tiện lợi 1 | 14.98 | 6.745 | .360 | .735 |
STL2 | 14.96 | 6.159 | .488 | .690 |
STL3 | 15.16 | 6.135 | .508 | .683 |
STL4 | 14.93 | 5.907 | .525 | .676 |
STL5 | 15.07 | 5.526 | .595 | .646 |
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Scale Mean if Item Deleted
Scale Variance if Item Deleted
Total Correlation
Alpha if Item Deleted
Đồng cảm
Reliability Statistics
Cronbach's
Alpha N of Items
.615 3
Item-Total Statistics
Corrected Item-
Cronbach's
Đồng cảm 1 | 7.09 | 1.414 | .460 | .462 |
DC2 | 7.03 | 1.321 | .488 | .418 |
DC3 | 6.97 | 1.737 | .332 | .635 |
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Total Correlation
Alpha if Item Deleted
Độ tin cậy
Reliability Statistics
Cronbach's
Alpha N of Items
.794 3
Item-Total Statistics
Corrected Item-
Cronbach's
Độ tin cậy 1 | 7.31 | 2.780 | .688 | .669 |
DTC2 | 7.21 | 3.001 | .581 | .776 |
DTC3 | 7.54 | 2.478 | .651 | .709 |
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Total Correlation
Alpha if Item Deleted
Đánh giá chung
Reliability Statistics
Cronbach's
Alpha N of Items
.685 3
Item-Total Statistics
Đánh giá chung 1 | 7.50 | 2.091 | .594 | .470 |
DGC2 | 7.65 | 2.069 | .445 | .675 |
DGC3 | 7.64 | 2.406 | .473 | .624 |
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item- Total Correlation
Cronbach's Alpha if Item Deleted
III. Kết quả phân tích hồi quy tuyến tính bội
Variables Entered/Removeda
Model
Variables
Entered
Variables
Removed
DC
Method
. Stepwise (Criteria: Probability-of-F- to-enter <= .050, Probability-of-F- to-remove
>= .100).
1
TT | . | Stepwise (Criteria: Probability-of-F- to-enter <= .050, Probability-of-F- to-remove >= .100). | |
3 | STL | . | Stepwise (Criteria: Probability-of-F- to-enter <= .050, Probability-of-F- to-remove >= .100). |
4 | DTC | . | Stepwise (Criteria: Probability-of-F- to-enter <= .050, Probability-of-F- to-remove >= .100). |
a. Dependent Variable: DGC
Model Summarye
1 | .621a | .386 | .382 | .377 | |
2 | .753b | .567 | .561 | .318 | |
3 | .828c | .685 | .679 | .272 | |
4 | .868d | .753 | .746 | .241 | 1.928 |
Model R R Square
Adjusted R Square
Std. Error of the
Estimate Durbin-Watson
a. Predictors: (Constant), DC
b. Predictors: (Constant), DC, TT
c. Predictors: (Constant), DC, TT, STL
d. Predictors: (Constant), DC, TT, STL, DTC
e. Dependent Variable: DGC
ANOVAa
Model Sum of Squares df Mean Square F Sig.
Regression | 13.200 | 1 | 13.200 | 92.925 | .000b | |
Residual | 21.023 | 148 | .142 | |||
Total | 34.222 | 149 | ||||
2 | Regression | 19.399 | 2 | 9.699 | 96.185 | .000c |
Residual | 14.824 | 147 | .101 | |||
Total | 34.222 | 149 | ||||
3 | Regression | 23.445 | 3 | 7.815 | 105.876 | .000d |
Residual | 10.777 | 146 | .074 | |||
Total | 34.222 | 149 | ||||
4 | Regression | 25.770 | 4 | 6.443 | 110.530 | .000e |
Residual | 8.452 | 145 | .058 | |||
Total | 34.222 | 149 |
a. Dependent Variable: DGC
b. Predictors: (Constant), DC
c. Predictors: (Constant), DC, TT
d. Predictors: (Constant), DC, TT, STL
e. Predictors: (Constant), DC, TT, STL, DTC
Correlations
DC | DTC | STL | TT | |||
DGC | Pearson Correlation | 1 | .621** | .495** | .590** | .610** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | ||
N | 150 | 150 | 150 | 150 | 150 | |
DC | Pearson Correlation | .621** | 1 | .263** | .324** | .337** |
Sig. (2-tailed) | .000 | .001 | .000 | .000 |
150 | 150 | 150 | 150 | 150 | ||
DTC | Pearson Correlation | .495** | .263** | 1 | .268** | .134 |
Sig. (2-tailed) | .000 | .001 | .001 | .003 | ||
N | 150 | 150 | 150 | 150 | 150 | |
STL | Pearson Correlation | .590** | .324** | .268** | 1 | .259** |
Sig. (2-tailed) | .000 | .000 | .001 | .001 | ||
N | 150 | 150 | 150 | 150 | 150 | |
TT | Pearson Correlation | .610** | .337** | .134** | .259** | 1 |
Sig. (2-tailed) | .000 | .000 | .003 | .001 | ||
N | 150 | 150 | 150 | 150 | 150 |
**. Correlation is significant at the 0.01 level (2-tailed).
Coefficientsa
Unstandardized Coefficients
Standardized Coefficients
Collinearity Statistics
Model
B Std. Error Beta
t Sig.
Tolerance VIF
(Constant) | 1.945 | .154 | 12.623 | .000 | ||||
DC | .379 | .039 | .621 | 9.640 | .000 | 1.000 | 1.000 | |
2 | (Constant) | 1.070 | .171 | 6.251 | .000 | |||
DC | .286 | .035 | .468 | 8.124 | .000 | .886 | 1.129 | |
TT | .337 | .043 | .452 | 7.841 | .000 | .886 | 1.129 | |
3 | (Constant) | .489 | .166 | 2.946 | .004 | |||
DC | .226 | .031 | .370 | 7.240 | .000 | .826 | 1.211 | |
TT | .290 | .037 | .390 | 7.789 | .000 | .861 | 1.161 | |
STL | .261 | .035 | .369 | 7.404 | .000 | .870 | 1.150 | |
4 | (Constant) | .218 | .154 | 1.420 | .158 | |||
DC | .194 | .028 | .317 | 6.863 | .000 | .799 | 1.252 | |
TT | .287 | .033 | .385 | 8.661 | .000 | .861 | 1.162 | |
STL | .222 | .032 | .313 | 6.941 | .000 | .837 | 1.195 | |
DTC | .150 | .024 | .276 | 6.316 | .000 | .893 | 1.120 |
a. Dependent Variable: DGC
Collinearity Diagnosticsa
Variance Proportions
Model Dimension Eigenvalue Condition Index (Constant) DC TT STL DTC
1 | 1.980 1.000 .01 .01 | |||||||
2 | .020 | 9.912 | .99 | .99 | ||||
2 | 1 | 2.961 | 1.000 | .00 | .00 | .00 | ||
2 | .024 | 11.050 | .07 | .94 | .31 | |||
3 | .015 | 14.208 | .93 | .06 | .69 | |||
3 | 1 | 3.940 | 1.000 | .00 | .00 | .00 | .00 | |
2 | .025 | 12.557 | .04 | .95 | .03 | .21 | ||
3 | .023 | 13.220 | .00 | .04 | .62 | .52 | ||
4 | .013 | 17.484 | .96 | .01 | .35 | .27 | ||
4 | 1 | 4.900 | 1.000 | .00 | .00 | .00 | .00 | .00 |
2 | .040 | 11.008 | .01 | .05 | .09 | .01 | .90 | |
3 | .025 | 14.014 | .03 | .92 | .06 | .18 | .00 | |
4 | .022 | 14.922 | .00 | .03 | .50 | .62 | .05 | |
5 | .012 | 19.808 | .95 | .00 | .35 | .19 | .05 |
a. Dependent Variable: DGC
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
150 | 1 | 5 | 3.72 | .891 | ||
DTC2 | 150 | 1 | 5 | 3.82 | .898 | |
DTC3 | 150 | 1 | 5 | 3.49 | .922 | |
Valid N (listwise) | 150 |
One-Sample Test
Test Value = 3
t df Sig. (2-tailed) Mean Difference
95% Confidence Interval of the Difference
Lower Upper
9.899 | 149 | .000 | .720 | .58 | .86 | |
DTC2 | 11.184 | 149 | .000 | .820 | .68 | .96 |
DTC3 | 5.915 | 149 | .000 | .493 | .33 | .66 |
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
150 | 1 | 5 | 3.69 | .874 | ||
TT2 | 150 | 1 | 5 | 3.73 | .857 | |
TT3 | 150 | 1 | 5 | 3.69 | .891 | |
TT4 | 150 | 1 | 5 | 3.62 | .994 | |
TT5 | 150 | 1 | 5 | 3.76 | .865 | |
Valid N (listwise) | 150 |
One-Sample Test
Test Value = 3
t df Sig. (2-tailed) Mean Difference
95% Confidence Interval of the Difference
Lower Upper
11.738 | 149 | .000 | .693 | .55 | .83 | |
TT2 | 13.378 | 149 | .000 | .733 | .60 | .87 |
TT3 | 10.679 | 149 | .000 | .687 | .54 | .83 |
TT4 | 14.585 | 149 | .000 | .620 | .46 | .78 |
TT5 | 13.267 | 149 | .000 | .760 | .62 | .90 |
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
150 | 2 | 5 | 3.79 | .813 | ||
STL2 | 150 | 2 | 5 | 3.81 | .847 | |
STL3 | 150 | 1 | 5 | 3.61 | .834 | |
STL4 | 150 | 1 | 5 | 3.85 | .880 | |
STL5 | 150 | 1 | 5 | 3.71 | .916 | |
Valid N (listwise) | 150 |
One-Sample Test
Test Value = 3
t df Sig. (2-tailed) Mean Difference
95% Confidence Interval of the Difference
Lower Upper
11.945 | 149 | .000 | .793 | .66 | .92 | |
STL2 | 11.767 | 149 | .000 | .813 | .68 | .95 |
STL3 | 9.010 | 149 | .000 | .613 | .48 | .75 |
STL4 | 11.779 | 149 | .000 | .847 | .70 | .99 |
STL5 | 9.446 | 149 | .000 | .707 | .56 | .85 |