Total Variance Explained
Initial Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings | |||||||
Total | % of Variance | Cumulati ve % | Total | % of Variance | Cumulati ve % | Total | % of Variance | Cumulat ive % | |
13 | .445 | 1.647 | 87.329 | ||||||
14 | .432 | 1.600 | 88.929 | ||||||
15 | .373 | 1.381 | 90.310 | ||||||
16 | .358 | 1.326 | 91.636 | ||||||
17 | .309 | 1.146 | 92.782 | ||||||
18 | .302 | 1.117 | 93.899 | ||||||
19 | .263 | .975 | 94.874 | ||||||
20 | .244 | .905 | 95.779 | ||||||
21 | .232 | .860 | 96.639 | ||||||
22 | .188 | .696 | 97.335 | ||||||
23 | .173 | .641 | 97.976 | ||||||
24 | .166 | .616 | 98.591 | ||||||
25 | .140 | .519 | 99.111 | ||||||
26 | .123 | .454 | 99.565 | ||||||
27 | .117 | .435 | 100.000 |
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Extraction Method: Principal Component Analysis.
Component Matrixa
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
AN1 | .601 | -.501 | .509 | |||
AN2 | .650 | |||||
AN3 | .666 | |||||
AN4 | .657 | |||||
AN5 | .728 | |||||
DU6 | .569 | |||||
DU7 | .649 | |||||
DU8 | .683 | |||||
DU9 | .629 | |||||
DU10 | .608 | |||||
NL11 | .516 |
Component Matrixa
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
NL12 | .581 | .552 | .539 | |||
NL13 | .648 | .506 | ||||
NL14 | .566 | .528 | ||||
CSVC16 | .561 | .555 | ||||
CSVC17 | .599 | .527 | ||||
CSVC18 | .627 | |||||
CSVC19 | .591 | |||||
CLSP21 | .519 | |||||
CLSP22 | ||||||
CLSP23 | ||||||
CLSP24 | .522 | |||||
CLSP25 | ||||||
HLCP27 | .738 | |||||
HLCP29 | .796 | |||||
HLCP30 | .789 | |||||
HLCP31 | .759 |
Extraction Method: Principal Component Analysis.
a. 6 components extracted.
Rotated Component Matrixa
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
AN1 | .800 | |||||
AN2 | .807 | |||||
AN3 | .717 | |||||
AN4 | .739 | |||||
AN5 | .730 | |||||
DU6 | .802 | |||||
DU7 | .768 | |||||
DU8 | .865 | |||||
DU9 | .846 | |||||
DU10 | .829 | |||||
NL11 | .808 | |||||
NL12 | .678 | |||||
NL13 | .792 | |||||
NL14 | .778 | |||||
CSVC16 | .804 | |||||
CSVC17 | .830 |
Rotated Component Matrixa
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
CSVC18 | .658 | |||||
CSVC19 | .670 | |||||
CLSP21 | .589 | |||||
CLSP22 | .642 | |||||
CLSP23 | .814 | |||||
CLSP24 | .838 | |||||
CLSP25 | .660 | |||||
HLCP27 | .568 | |||||
HLCP29 | .558 | |||||
HLCP30 | .563 | |||||
HLCP31 | .642 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | .500 | |
Approx. Chi-Square | 70.602 | |
Bartlett's Test of Sphericity | df | 1 |
Sig. | .000 |
Communalities
Initial | Extraction | |
HL1 | 1.000 | .774 |
HL2 | 1.000 | .774 |
Extraction Method: Principal Component Analysis.
Total Variance Explained
Initial Eigenvalues | Extraction Sums of Squared Loadings | |||||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 1.548 | 77.412 | 77.412 | 1.548 | 77.412 | 77.412 |
2 | .452 | 22.588 | 100.000 |
Extraction Method: Principal Component Analysis.
Correlations
HL | CSVC | NLPV | DU | HLCP | CLSP | AN | ||
Pearson Correlation | 1 | .533** | .542** | .548** | .633** | .520** | .566** | |
HL | Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | |
N | 200 | 200 | 200 | 200 | 200 | 200 | 200 | |
Pearson Correlation | .533** | 1 | .442** | .354** | .621** | .297** | .545** | |
CSVC | Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | |
N | 200 | 200 | 200 | 200 | 200 | 200 | 200 | |
Pearson Correlation | .542** | .442** | 1 | .400** | .496** | .427** | .439** | |
NL | Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | |
N | 200 | 200 | 200 | 200 | 200 | 200 | 200 | |
Pearson Correlation | .548** | .354** | .400** | 1 | .515** | .412** | .420** | |
DU | Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | |
N | 200 | 200 | 200 | 200 | 200 | 200 | 200 | |
Pearson Correlation | .633** | .621** | .496** | .515** | 1 | .458** | .682** | |
HLCP | Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | |
N | 200 | 200 | 200 | 200 | 200 | 200 | 200 | |
Pearson Correlation | .520** | .297** | .427** | .412** | .458** | 1 | .305** | |
CLSP | Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | |
N | 200 | 200 | 200 | 200 | 200 | 200 | 200 | |
Pearson Correlation | .566** | .545** | .439** | .420** | .682** | .305** | 1 | |
AN | Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | |
N | 200 | 200 | 200 | 200 | 200 | 200 | 200 |
**. Correlation is significant at the 0.01 level (2-tailed).
Model Summaryb
R | R Squar e | Adjusted R Square | Std. Error of the Estimate | Change Statistics | |||||
R Square Change | F Change | df1 | df2 | Sig. F Change | |||||
1 | .756a | .572 | .558 | .57024 | .572 | 42.905 | 6 | 193 | .000 |
a. Predictors: (Constant), AN, CLSP, DU, NL, CSVC, HLCP
b. Dependent Variable: HL
ANOVAa
Sum of Squares | df | Mean Square | F | Sig. | ||
Regression | 83.710 | 6 | 13.952 | 42.905 | .000b | |
1 | Residual | 62.759 | 193 | .325 | ||
Total | 146.469 | 199 |
a. Dependent Variable: HL
b. Predictors: (Constant), AN, CLSP, DU, NL, CSVC, HLCP
Coefficientsa
Unstandardized Coefficients | Standardized Coefficients | t | Sig. | Collinearity Statistics | ||||
B | Std. Error | Beta | Tolera nce | VIF | ||||
(Constant) | -.211 | .261 | -.807 | .421 | ||||
AN | .166 | .071 | .145 | 2.326 | .021 | .570 | 1.755 | |
DU | .178 | .064 | .162 | 2.787 | .006 | .654 | 1.530 | |
1 | NL | .188 | .054 | .200 | 3.482 | .001 | .675 | 1.480 |
CSVC | .162 | .081 | .153 | 1.989 | .048 | .375 | 2.669 | |
CLSP | .206 | .056 | .205 | 3.665 | .000 | .706 | 1.416 | |
HLCP | .198 | .080 | .164 | 2.456 | .015 | .497 | 2.010 |
a. Dependent Variable: HL
Collinearity Diagnosticsa
Dimension | Eigenvalue | Condition Index | Variance Proportions | |||||||
(Constant) | CSVC | NLPV | DU | HLCP | CLSP | AN | ||||
1 | 6.832 | 1.000 | .00 | .00 | .00 | .00 | .00 | .00 | .00 | |
2 | .050 | 11.736 | .04 | .04 | .01 | .78 | .00 | .03 | .02 | |
3 | .041 | 12.942 | .00 | .03 | .01 | .13 | .02 | .75 | .03 | |
1 | 4 | .027 | 16.043 | .01 | .02 | .80 | .02 | .10 | .13 | .03 |
5 | .024 | 16.971 | .59 | .00 | .17 | .06 | .19 | .00 | .00 | |
6 | .017 | 20.346 | .03 | .78 | .00 | .01 | .01 | .00 | .37 | |
7 | .011 | 24.841 | .33 | .14 | .00 | .01 | .68 | .08 | .55 |
a. Dependent Variable: HL
Residuals Statisticsa
Minimum | Maximum | Mean | Std. Deviation | N | |
Predicted Value | 1.3037 | 5.2722 | 3.6375 | .64858 | 200 |
Residual | -1.31965 | 2.26008 | .00000 | .56158 | 200 |
Std. Predicted Value | -3.598 | 2.520 | .000 | 1.000 | 200 |
Std. Residual | -2.314 | 3.963 | .000 | .985 | 200 |
a. Dependent Variable: HL