Rotated Component Matrixa
Component | |||||
1 | 2 | 3 | 4 | 5 | |
PV2 | .757 | ||||
PV1 | .713 | ||||
PV5 | .708 | ||||
PV3 | .650 | .316 | |||
PV4 | .621 | ||||
ATTP4 | .774 | ||||
ATTP1 | .772 | ||||
ATTP2 | .769 | ||||
ATTP5 | .629 | .302 | |||
ATTP3 | .601 | ||||
CS1 | .816 | ||||
CS4 | .740 | ||||
CS2 | .716 | ||||
CS3 | .634 | .305 | |||
CS5 | .488 | ||||
DV3 | .764 | ||||
DV1 | .656 | ||||
DV4 | .300 | .653 | |||
DV2 | .647 | ||||
DV5 | .587 | ||||
NV2 | .720 | ||||
NV1 | .640 | ||||
NV3 | .638 | ||||
NV4 | .628 | ||||
NV5 | .604 |
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Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 7 iterations.
Kaiser-Meyer-Olkin
Adequacy.
Measure
of Sampling
.822
Bartlett's
Sphericity
Test
of
KMO and Bartlett's Test
2413.211 | |
df | 276 |
Sig. | .000 |
Total Variance Explained
Initial Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings | |||||||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 5.645 | 23.520 | 23.520 | 5.645 | 23.520 | 23.520 | 2.877 | 11.988 | 11.988 |
2 | 2.626 | 10.941 | 34.461 | 2.626 | 10.941 | 34.461 | 2.785 | 11.603 | 23.591 |
3 | 2.220 | 9.252 | 43.713 | 2.220 | 9.252 | 43.713 | 2.628 | 10.949 | 34.540 |
4 | 1.485 | 6.187 | 49.900 | 1.485 | 6.187 | 49.900 | 2.559 | 10.663 | 45.203 |
5 | 1.316 | 5.481 | 55.381 | 1.316 | 5.481 | 55.381 | 2.443 | 10.178 | 55.381 |
6 | .993 | 4.136 | 59.518 | ||||||
7 | .893 | 3.722 | 63.239 | ||||||
8 | .807 | 3.362 | 66.601 | ||||||
9 | .770 | 3.209 | 69.810 | ||||||
10 | .723 | 3.011 | 72.821 | ||||||
11 | .673 | 2.805 | 75.626 | ||||||
12 | .653 | 2.721 | 78.347 | ||||||
13 | .625 | 2.605 | 80.952 | ||||||
14 | .553 | 2.304 | 83.256 | ||||||
15 | .537 | 2.237 | 85.493 | ||||||
16 | .513 | 2.136 | 87.630 | ||||||
17 | .449 | 1.871 | 89.501 | ||||||
18 | .447 | 1.861 | 91.362 | ||||||
19 | .434 | 1.808 | 93.169 | ||||||
20 | .387 | 1.614 | 94.783 | ||||||
21 | .353 | 1.471 | 96.254 | ||||||
22 | .320 | 1.334 | 97.588 | ||||||
23 | .310 | 1.290 | 98.878 | ||||||
24 | .269 | 1.122 | 100.000 |
Extraction Method: Principal Component Analysis.
Rotated Component Matrixa
Component | |||||
1 | 2 | 3 | 4 | 5 | |
PV2 | .758 | ||||
PV1 | .719 | ||||
PV5 | .709 | ||||
PV3 | .653 | .310 | |||
PV4 | .615 | ||||
ATTP1 | .780 | ||||
ATTP4 | .779 | ||||
ATTP2 | .774 | ||||
ATTP5 | .632 | ||||
ATTP3 | .592 | ||||
DV3 | .761 | ||||
DV4 | .301 | .662 | |||
DV1 | .658 | ||||
DV2 | .654 | ||||
DV5 | .594 | ||||
NV2 | .727 | ||||
NV1 | .642 | ||||
NV3 | .639 | ||||
NV4 | .621 | ||||
NV5 | .604 | ||||
CS1 | .826 | ||||
CS4 | .729 | ||||
CS2 | .709 | ||||
CS3 | .303 | .668 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 7 iterations.
KMO and Bartlett's Test
.861 | |
Approx. Chi-Square | 857.183 |
Bartlett's Test of Sphericity df | 15 |
Sig. | .000 |
Total Variance Explained
Initial Eigenvalues | Extraction Sums of Squared Loadings | |||||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 3.605 | 60.082 | 60.082 | 3.605 | 60.082 | 60.082 |
2 | .660 | 11.004 | 71.085 | |||
3 | .634 | 10.573 | 81.659 | |||
4 | .510 | 8.498 | 90.157 | |||
5 | .377 | 6.290 | 96.447 | |||
6 | .213 | 3.553 | 100.000 |
Extraction Method: Principal Component Analysis.
Component Matrixa
Component | |
1 | |
HL6 | .913 |
HL5 | .797 |
HL1 | .755 |
HL3 | .750 |
HL4 | .716 |
HL2 | .700 |
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
PHỤ LỤC 6: HỒI QUY
Correlations
HL | DV | ATTP | PV | NV | CS | ||
Pearson Correlation | 1 | .572** | .424** | .471** | .479** | .594** | |
HL | Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | |
N | 312 | 312 | 312 | 312 | 312 | 312 | |
Pearson Correlation | .572** | 1 | .235** | .328** | .258** | .457** | |
DV | Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | |
N | 312 | 312 | 312 | 312 | 312 | 312 | |
Pearson Correlation | .424** | .235** | 1 | .157** | .376** | .140* | |
ATTP | Sig. (2-tailed) | .000 | .000 | .005 | .000 | .014 | |
N | 312 | 312 | 312 | 312 | 312 | 312 | |
Pearson Correlation | .471** | .328** | .157** | 1 | .434** | .282** | |
PV | Sig. (2-tailed) | .000 | .000 | .005 | .000 | .000 | |
N | 312 | 312 | 312 | 312 | 312 | 312 | |
Pearson Correlation | .479** | .258** | .376** | .434** | 1 | .256** | |
NV | Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | |
N | 312 | 312 | 312 | 312 | 312 | 312 | |
Pearson Correlation | .594** | .457** | .140* | .282** | .256** | 1 | |
CS | Sig. (2-tailed) | .000 | .000 | .014 | .000 | .000 | |
N | 312 | 312 | 312 | 312 | 312 | 312 |
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Descriptive Statistics
Mean | Std. Deviation | N | |
HL | 4.0134 | .45570 | 312 |
DV | 3.9955 | .44373 | 312 |
ATTP | 3.9929 | .49985 | 312 |
PV | 3.7551 | .50849 | 312 |
NV | 4.0962 | .45163 | 312 |
CS | 4.0817 | .50810 | 312 |
Correlations
HL | DV | ATTP | PV | NV | CS | ||
Pearson Correlation Sig. (1-tailed) N | HL DV ATTP PV NV CS HL DV ATTP PV NV CS HL DV ATTP PV NV CS | 1.000 | .572 | .424 | .471 | .479 | .594 |
.572 | 1.000 | .235 | .328 | .258 | .457 | ||
.424 | .235 | 1.000 | .157 | .376 | .140 | ||
.471 | .328 | .157 | 1.000 | .434 | .282 | ||
.479 | .258 | .376 | .434 | 1.000 | .256 | ||
.594 | .457 | .140 | .282 | .256 | 1.000 | ||
. | .000 | .000 | .000 | .000 | .000 | ||
.000 | . | .000 | .000 | .000 | .000 | ||
.000 | .000 | . | .003 | .000 | .007 | ||
.000 | .000 | .003 | . | .000 | .000 | ||
.000 | .000 | .000 | .000 | . | .000 | ||
.000 | .000 | .007 | .000 | .000 | . | ||
312 | 312 | 312 | 312 | 312 | 312 | ||
312 | 312 | 312 | 312 | 312 | 312 | ||
312 | 312 | 312 | 312 | 312 | 312 | ||
312 | 312 | 312 | 312 | 312 | 312 | ||
312 | 312 | 312 | 312 | 312 | 312 | ||
312 | 312 | 312 | 312 | 312 | 312 |
Model Summaryb
R | R Square | Adjusted R Square | Std. Error of the Estimate | Durbin-Watson | |
1 | .784a | .614 | .608 | .28531 | 1.670 |
a. Predictors: (Constant), CS, ATTP, PV, DV, NV
b. Dependent Variable: HL
ANOVAa
Sum of Squares | df | Mean Square | F | Sig. | ||
Regression | 39.674 | 5 | 7.935 | 97.474 | .000b | |
1 | Residual | 24.910 | 306 | .081 | ||
Total | 64.583 | 311 |
a. Dependent Variable: HL
b. Predictors: (Constant), CS, ATTP, PV, DV, NV