Communalities
Initial | Extraction | |
NLTD1 | 1.000 | .738 |
NLTD2 | 1.000 | .602 |
NLTD3 | 1.000 | .672 |
NLTD4 | 1.000 | .711 |
QTCV2 | 1.000 | .653 |
QTCV3 | 1.000 | .769 |
QTCV4 | 1.000 | .767 |
NLKH1 | 1.000 | .790 |
NLKH2 | 1.000 | .756 |
NLKH3 | 1.000 | .743 |
PTCV1 | 1.000 | .759 |
PTCV2 | 1.000 | .616 |
PTCV3 | 1.000 | .756 |
TTTD1 | 1.000 | .713 |
TTTD2 | 1.000 | .709 |
TTTD3 | 1.000 | .689 |
TTTD4 | 1.000 | .615 |
CSNN1 | 1.000 | .787 |
CSNN2 | 1.000 | .805 |
CSNN3 | 1.000 | .651 |
CSNN4 | 1.000 | .711 |
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Extraction Method: Principal Component Analysis.
Total Variance Explained
Initial Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings | |||||||
Total | % of Vari ance | Cumulativ e % | Total | % of Vari ance | Cumulativ e % | Total | % of Vari ance | Cumulativ e % | |
1 | 4.626 | 22.027 | 22.027 | 4.626 | 22.027 | 22.027 | 2.975 | 14.168 | 14.168 |
2 | 3.056 | 14.553 | 36.580 | 3.056 | 14.553 | 36.580 | 2.780 | 13.237 | 27.404 |
3 | 2.543 | 12.108 | 48.688 | 2.543 | 12.108 | 48.688 | 2.742 | 13.057 | 40.461 |
1.791 | 8.529 | 57.217 | 1.791 | 8.529 | 57.217 | 2.311 | 11.003 | 51.464 | |
5 | 1.673 | 7.969 | 65.186 | 1.673 | 7.969 | 65.186 | 2.111 | 10.054 | 61.519 |
6 | 1.325 | 6.309 | 71.495 | 1.325 | 6.309 | 71.495 | 2.095 | 9.976 | 71.495 |
7 | .669 | 3.187 | 74.681 | ||||||
8 | .580 | 2.762 | 77.443 | ||||||
9 | .545 | 2.594 | 80.036 | ||||||
10 | .534 | 2.542 | 82.579 | ||||||
11 | .520 | 2.477 | 85.056 | ||||||
12 | .419 | 1.996 | 87.052 | ||||||
13 | .408 | 1.945 | 88.997 | ||||||
14 | .386 | 1.837 | 90.834 | ||||||
15 | .362 | 1.726 | 92.559 | ||||||
16 | .317 | 1.510 | 94.070 | ||||||
17 | .286 | 1.361 | 95.431 | ||||||
18 | .279 | 1.328 | 96.759 | ||||||
19 | .266 | 1.268 | 98.028 | ||||||
20 | .231 | 1.102 | 99.130 | ||||||
21 | .183 | .870 | 100.000 |
Extraction Method: Principal Component Analysis.
Component Matrixa
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
NLTD1 | .683 | -.402 | ||||
NLTD3 | .678 | -.403 | ||||
NLTD4 | .654 | -.401 | ||||
NLTD2 | .602 | -.353 | ||||
PTCV2 | .533 | -.453 | ||||
NLKH2 | .527 | -.426 | .423 | |||
QTTD2 | .511 | -.459 | .315 | |||
TTTD4 | .469 | -.303 | .417 | |||
CSNN2 | .800 | |||||
CSNN1 | .778 | |||||
CSNN4 | .777 | |||||
CSNN3 | .734 | |||||
TTTD2 | .387 | -.385 | .523 | .353 | ||
TTTD3 | .413 | -.403 | .516 | |||
QTCV4 | .371 | -.513 | .347 | .452 | ||
TTTD1 | .428 | -.338 | .502 | .356 |
.434 | -.460 | .328 | -.393 | |||
NLKH1 | .457 | -.460 | .501 | |||
PTCV3 | .485 | -.630 | ||||
PTCV1 | .451 | -.563 | .417 | |||
QTCV3 | .448 | -.438 | .366 | .484 |
Extraction Method: Principal Component Analysis.
a. 6 components extracted.
Rotated Component Matrixa
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
CSNN2 | .881 | |||||
CSNN1 | .870 | |||||
CSNN4 | .820 | |||||
CSNN3 | .801 | |||||
NLTD1 | .822 | |||||
NLTD4 | .818 | |||||
NLTD3 | .761 | |||||
NLTD2 | .749 | |||||
TTTD1 | .838 | |||||
TTTD2 | .831 | |||||
TTTD3 | .810 | |||||
TTTD4 | .756 | |||||
NLKH1 | .864 | |||||
NLKH3 | .823 | |||||
NLKH2 | .817 | |||||
QTCV3 | .860 | |||||
QTCV4 | .844 | |||||
QTCV2 | .708 | |||||
PTCV1 | .857 | |||||
PTCV3 | .839 | |||||
PTCV2 | .713 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
Component Transformation Matrix
1 | 2 | 3 | 4 | 5 | 6 | |
1 | .193 | .618 | .401 | .387 | .349 | .386 |
2 | .902 | .063 | -.415 | .018 | -.056 | -.088 |
3 | .280 | -.003 | .618 | -.497 | -.509 | .181 |
4 | .222 | -.596 | .463 | .564 | .049 | -.247 |
5 | .065 | .251 | .265 | -.345 | .427 | -.749 |
6 | .133 | -.443 | .024 | -.408 | .657 | .433 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
Correlations
TDCCKT | NLTD | QTCV | NLKH | PTCV | TTTD | CSNN | ||
TDCCK T | Pearson Correlati on | 1 | .791** | .385** | .404** | .493** | .350** | .248** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | ||
N | 360 | 360 | 360 | 360 | 360 | 360 | 360 | |
NLTD | Pearson Correlati on | .791** | 1 | .313** | .228** | .340** | .250** | .154** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .003 | ||
N | 360 | 360 | 360 | 360 | 360 | 360 | 360 | |
QTCV | Pearson Correlati on | .385** | .313** | 1 | .351** | .107* | .063 | .008 |
Sig. (2-tailed) | .000 | .000 | .000 | .043 | .235 | .873 | ||
N | 360 | 360 | 360 | 360 | 360 | 360 | 360 | |
NLKH | Pearson Correlati on | .404** | .228** | .351** | 1 | .206** | .093 | .037 |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .077 | .480 | ||
N | 360 | 360 | 360 | 360 | 360 | 360 | 360 | |
PTCV | Pearson Correlati on | .493** | .340** | .107* | .206** | 1 | .244** | .058 |
Sig. (2-tailed) | .000 | .000 | .043 | .000 | .000 | .274 | ||
N | 360 | 360 | 360 | 360 | 360 | 360 | 360 |
Pearson Correlati on | .350** | .250** | .063 | .093 | .244** | 1 | -.041 | |
Sig. (2-tailed) | .000 | .000 | .235 | .077 | .000 | .435 | ||
N | 360 | 360 | 360 | 360 | 360 | 360 | 360 | |
CSNN | Pearson Correlati on | .248** | .154** | .008 | .037 | .058 | -.041 | 1 |
Sig. (2-tailed) | .000 | .003 | .873 | .480 | .274 | .435 | ||
N | 360 | 360 | 360 | 360 | 360 | 360 | 360 |
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
PHỤ LỤC 6
KẾT QUẢ HỒI QUI
Variables Entered/Removeda
Variables Entered | Variables Removed | Method | |
1 | CSNN, QTCV, TTTD, PTCV, NLKH, NLTDb | . | Enter |
a. Dependent Variable: TDCCKT
b. All requested variables entered.
Model Summaryb
R | R S q u a r e | Adjusted R Square | Std. Error of the Esti mate | |
1 | .873a | .763 | .758 | .36368 |
a. Predictors: (Constant), CSNN, QTCV, TTTD, PTCV, NLKHK, NLTD
b. Dependent Variable: TDCCKT
ANOVAa
Sum of Square s | df | Mean Sq uar e | F | Sig. | ||
1 | Regression | 149.903 | 6 | 24.984 | 188.897 | .000b |
Residual | 46.688 | 353 | .132 | |||
Total | 196.591 | 359 |
a. Dependent Variable: TTVCCKT
b. Predictors: (Constant), CSNN, QTCV, TTTD, PTCV, NLKH, NLTD
Coefficientsa
Unstandardized Coefficients | Standardized Coefficien ts | t | Sig. | Collinearity Statistics | ||||
B | Std. Error | Beta | Tolerance | VIF | ||||
1 | (Constant) | -.751 | .118 | -6.348 | .000 | |||
NLTD | .511 | .026 | .593 | 19.879 | .000 | .757 | 1.322 | |
QTCV | .092 | .024 | .108 | 3.755 | .000 | .815 | 1.227 | |
NLKH | .137 | .023 | .171 | 6.056 | .000 | .842 | 1.188 | |
PTCV | .173 | .024 | .203 | 7.188 | .000 | .840 | 1.191 | |
TTTD | .110 | .022 | .135 | 4.944 | .000 | .901 | 1.109 | |
CSNN | .116 | .021 | .143 | 5.432 | .000 | .967 | 1.034 |
a. Dependent Variable: TTVCCKT
Collinearity Diagnosticsa
Eigenvalu e | Condition Index | Variance Proportions | ||||||||
(Constant) | NLTD | QTCV | NLKH | PTCV | TTTD | CSNN | ||||
1 | 1 | 6.593 | 1.000 | .00 | .00 | .00 | .00 | .00 | .00 | .00 |
2 | .134 | 7.010 | .00 | .00 | .00 | .00 | .02 | .12 | .76 | |
3 | .090 | 8.574 | .00 | .00 | .16 | .09 | .01 | .53 | .09 | |
4 | .068 | 9.839 | .00 | .03 | .08 | .02 | .71 | .23 | .01 | |
5 | .055 | 10.993 | .01 | .77 | .01 | .20 | .09 | .00 | .00 | |
6 | .039 | 13.013 | .00 | .19 | .57 | .56 | .10 | .00 | .00 | |
7 | .022 | 17.427 | .98 | .00 | .17 | .13 | .06 | .11 | .14 |
a. Dependent Variable: TDVCCKT
Residuals Statisticsa
Minimum | Maximum | Mean | Std. Deviation | N | |
Predicted Value | 1.3554 | 4.0978 | 2.5597 | .64619 | 360 |
-1.31927 | .93596 | .00000 | .36063 | 360 | |
Std. Predicted Value | -1.864 | 2.380 | .000 | 1.000 | 360 |
Std. Residual | -3.628 | 2.574 | .000 | .992 | 360 |
a. Dependent Variable: HL
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