.994 | 3.681 | 63.577 | |
7 | .923 | 3.418 | 66.995 |
8 | .779 | 2.884 | 69.879 |
9 | .721 | 2.669 | 72.548 |
10 | .688 | 2.547 | 75.096 |
11 | .651 | 2.411 | 77.507 |
12 | .599 | 2.219 | 79.726 |
13 | .535 | 1.980 | 81.706 |
14 | .496 | 1.837 | 83.543 |
15 | .471 | 1.746 | 85.288 |
16 | .455 | 1.685 | 86.974 |
17 | .432 | 1.600 | 88.574 |
18 | .416 | 1.542 | 90.116 |
19 | .392 | 1.451 | 91.566 |
20 | .380 | 1.406 | 92.973 |
21 | .352 | 1.304 | 94.277 |
22 | .334 | 1.237 | 95.514 |
23 | .317 | 1.174 | 96.689 |
24 | .264 | .976 | 97.665 |
25 | .230 | .850 | 98.515 |
26 | .210 | .777 | 99.292 |
27 | .191 | .708 | 100.000 |
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Extraction Method: Principal Component Analysis.
Rotated Component Matrixa
Component | |||||
1 | 2 | 3 | 4 | 5 | |
KT3 | .751 | ||||
KT1 | .731 | ||||
KT2 | .715 | ||||
KT6 | .680 | ||||
KT8 | .666 | ||||
KT4 | .657 | ||||
KT7 | .631 | ||||
KT5 | .619 | ||||
DK3 | .767 | ||||
DK5 | .766 | ||||
DK4 | .740 |
.710 | ||||
DK6 | .703 | |||
DK1 | .701 | |||
TT3 | .799 | |||
TT4 | .725 | |||
TT2 | .721 | |||
TT5 | .663 | |||
TT1 | .621 | |||
CN4 | .766 | |||
CN1 | .750 | |||
CN2 | .683 | |||
CN3 | .647 | |||
CS2 | .797 | |||
CS4 | .710 | |||
CS1 | .696 | |||
CS3 | .676 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
Correlations
DK | CS | CN | KT | TT | PT | ||
DK | Pearson Correlation | 1 | .426** | .393** | .350** | .346** | .566** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | ||
N | 290 | 290 | 290 | 290 | 290 | 290 | |
CS | Pearson Correlation | .426** | 1 | .323** | .435** | .411** | .530** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | ||
N | 290 | 290 | 290 | 290 | 290 | 290 | |
CN | Pearson Correlation | .393** | .323** | 1 | .339** | .267** | .491** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | ||
N | 290 | 290 | 290 | 290 | 290 | 290 | |
KT | Pearson Correlation | .350** | .435** | .339** | 1 | .516** | .545** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 |
N | 290 | 290 | 290 | 290 | 290 | 290 | |
TT | Pearson Correlation | .346** | .411** | .267** | .516** | 1 | .556** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | ||
N | 290 | 290 | 290 | 290 | 290 | 290 | |
PT | Pearson Correlation | .566** | .530** | .491** | .545** | .556** | 1 |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | ||
N | 290 | 290 | 290 | 290 | 290 | 290 |
**. Correlation is significant at the 0.01 level (2-tailed).
Model Summaryb
R | R Square | Adjusted R Square | Std. Error of the Estimate | Durbin- Watson | |
1 | .759a | .577 | .569 | .41147 | 1.349 |
a. Predictors: (Constant), TT, CN, DK, CS, KT
b. Dependent Variable: PT
ANOVAa
Sum of Squares | df | Mean Square | F | Sig. | ||
1 | Regressio n | 65.534 | 5 | 13.107 | 77.413 | .000b |
Residual | 48.084 | 284 | .169 | |||
Total | 113.619 | 289 |
a. Dependent Variable: PT
b. Predictors: (Constant), TT, CN, DK, CS, KT
Coefficientsa
Unstandardized Coefficients | Standardized Coefficients | t | Sig. | Collinearity Statistics | ||||
B | Std. Error | Beta | Tolerance | VIF | ||||
1 | (Constant) | .063 | .175 | .264 | .362 | .718 | .719 | 1.392 |
DK | .233 | .040 | 5.797 | .000 |
CS | .133 | .036 | .171 | 3.682 | .000 | .691 | 1.447 |
CN | .175 | .037 | .205 | 4.711 | .000 | .787 | 1.271 |
KT | .190 | .050 | .182 | 3.785 | .000 | .646 | 1.549 |
TT | .227 | .043 | .246 | 5.243 | .000 | .677 | 1.478 |
a. Dependent Variable: PT
Group Statistics
GIOITI NH | N | Mean | Std. Deviation | Std. Error Mean | |
PT | Nam | 256 | 3.3906 | .63192 | .03949 |
Nữ | 34 | 3.4412 | .59584 | .10219 |
Independent Samples Test
Levene's Test for Equality of Variance s | t-test for Equality of Means | |||||||||
F | Sig. | t | df | Sig. (2- tailed ) | Mean Differenc e | Std. Error Differenc e | 95% Confidence Interval of the Difference | |||
Lower | Upper | |||||||||
P T | Equal variance s assumed | .02 1 | .88 4 | - .44 1 | 288 | .659 | -.05055 | .11461 | - .2761 3 | .1750 3 |
Equal variance s not assumed | - .46 1 | 43.47 0 | .647 | -.05055 | .10955 | - .2714 1 | .1703 1 |
ANOVA
Sum of Squares | df | Mean Square | F | Sig. | ||
Between Groups | 15.493 | 12 | 1.291 | 1.504 | .122 | |
TUOI | Within Groups | 237.821 | 277 | .859 | ||
Total | 253.314 | 289 | ||||
TRINHD O | Between Groups | 3.163 | 12 | .264 | .549 | .881 |
Within Groups | 132.937 | 277 | .480 | |||
Total | 136.100 | 289 | ||||
Between Groups | 1.869 | 12 | .156 | .767 | .684 | |
VON | Within Groups | 56.214 | 277 | .203 | ||
Total | 58.083 | 289 | ||||
Between Groups | 5.840 | 12 | .487 | .767 | .684 | |
VAY | Within Groups | 175.778 | 277 | .635 | ||
Total | 181.617 | 289 | ||||
DIENTI CH | Between Groups | 5.312 | 12 | .443 | 2.577 | .003 |
Within Groups | 47.585 | 277 | .172 | |||
Total | 52.897 | 289 | ||||
LAODO NG | Between Groups | 27.897 | 12 | 2.325 | 2.687 | .002 |
Within Groups | 239.634 | 277 | .865 | |||
Total | 267.531 | 289 |
Descriptive Statistics
N | Minimu m | Maximu m | Mean | Std. Deviation | |
DK | 290 | 1.00 | 5.00 | 3.6414 | .70937 |
CS | 290 | 1.00 | 5.00 | 3.1931 | .80319 |
CN | 290 | 1.25 | 5.00 | 3.5741 | .73625 |
KT | 290 | 1.38 | 5.00 | 3.3026 | .59892 |
TT | 290 | 1.60 | 5.00 | 3.5414 | .67870 |
PT | 290 | 1.00 | 5.00 | 3.3966 | .62701 |
Valid N (listwise) | 290 |