1
7.302 | 29,210 | 29,210 | 7.302 | 29,210 | 29,210 | 3.129 | 12,518 | 12,518 | |
2 | 2,153 | 8,612 | 37,822 | 2,153 | 8,612 | 37,822 | 3,089 | 12,357 | 24,874 |
3 | 1,851 | 7.404 | 45,226 | 1,851 | 7.404 | 45,226 | 2,644 | 10,577 | 35,451 |
4 | 1,750 | 7,000 | 52,226 | 1,750 | 7,000 | 52,226 | 2,506 | 10,024 | 45,476 |
5 | 1,574 | 6,294 | 58,520 | 1,574 | 6,294 | 58,520 | 2,496 | 9,984 | 55,460 |
6 | 1,428 | 5,713 | 64,233 | 1,428 | 5,713 | 64,233 | 2,193 | 8,773 | 64,233 |
7 | .747 | 2,987 | 67,220 | ||||||
8 | .704 | 2,816 | 70,036 | ||||||
9 | .662 | 2,647 | 72,684 | ||||||
10 | .616 | 2,463 | 75,147 | ||||||
11 | .600 | 2,399 | 77,546 | ||||||
12 | .533 | 2,132 | 79,678 | ||||||
13 | .526 | 2.105 | 81,783 | ||||||
14 | .507 | 2,030 | 83,813 | ||||||
15 | .470 | 1,881 | 85,694 | ||||||
16 | .448 | 1,792 | 87,486 | ||||||
17 | .412 | 1,648 | 89,134 | ||||||
18 | .406 | 1,624 | 90,758 | ||||||
19 | .389 | 1.555 | 92,313 | ||||||
20 | .374 | 1,497 | 93,810 | ||||||
21 | .358 | 1,432 | 95,242 | ||||||
22 | .326 | 1,303 | 96,546 | ||||||
23 | .309 | 1,237 | 97,783 | ||||||
24 | .287 | 1,148 | 98,931 | ||||||
25 | .267 | 1,069 | 100,000 |
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Rotated Component Matrix a
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
NC2 | .824 | |||||
NC5 | .805 | |||||
NC1 | .741 | |||||
NC3 | .703 | |||||
NC4 | .671 | |||||
CL5 | .792 | |||||
CL3 | .759 | |||||
CL4 | .754 | |||||
CL1 | .700 | |||||
CL2 | .641 | |||||
GC1 | .797 | |||||
GC4 | .776 | |||||
GC3 | .742 | |||||
GC2
.720 | ||||||
TK1 | .766 | |||||
TK4 | .741 | |||||
TK3 | .723 | |||||
TK2 | .715 | |||||
MK1 | .776 | |||||
MK4 | .742 | |||||
MK2 | .735 | |||||
MK3 | .711 | |||||
TH1 | .832 | |||||
TH2 | .789 | |||||
TH3 | .756 |
DEPENDENT VARIABLE
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
.818 | ||
Bartlett's Test of Sphericity | Approx. Chi-Square | 384,375 |
df | 6 | |
Sig. | .000 |
Total Variance Explained
Component
Initial Eigenvalues | Extraction Sums of Squared Loadings | |||||
Total | % of Variance | cumulative % | Total | % of Variance | cumulative % | |
1 | 2,716 | 67,898 | 67,898 | 2,716 | 67,898 | 67,898 |
2 | .471 | 11,768 | 79,666 | |||
3 | .430 | 10,759 | 90,425 | |||
4 | .383 | 9,575 | 100,000 | |||
Component Matrix a
Component
1
QD1
.846
QD4
.819 | |
QD3 | .818 |
QD2 | .812 |
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
3, MULTIVARIABLE REGRESSION
Model Summary b
Mode l
R | R Square | Adjusted R Square | Std. Error of the Estimate | Durbin-Watson | |
1 | .856a | .732 | .725 | .38942 | 2,094 |
ANOVA a
Model
Sum of Squares | df | Mean Square | F | Sig. | ||
1 | Regression | 100,621 | 6 | 16,770 | 110,588 | .000 b |
Residual | 36,850 | 243 | .152 | |||
Total | 137,471 | 249 |
Coefficients a
Model
Unstandardized Coefficients | Standardized Coefficients | t | Sig. | Collinearity Statistics | ||||
B | Std. Error | Beta | Tolerance | VIF | ||||
1 | (Constant) | -.131 | .138 | -.949 | .344 | |||
NC | .243 | .032 | .291 | 7,695 | .000 | .769 | 1,300 | |
MK | .082 | .029 | .104 | 2,777 | .006 | .787 | 1,271 | |
CL | .183 | .031 | .234 | 5,843 | .000 | .691 | 1,448 | |
F_TK | .083 | .031 | .107 | 2,685 | .008 | .700 | 1,428 | |
F_GC | .200 | .032 | .243 | 6,249 | .000 | .728 | 1,373 | |
F_TH | .203 | .028 | .272 | 7.152 | .000 | .764 | 1,308 | |
4, ANOVA, T-TEST
Gender Variation
Run Independent T-Test:
Independent Samples Test
Levene's Test for Equality of Variances | t-test for Equality of Means | |||||
F | Sig. | t | df | Sig. (2- tailed) | ||
QD | Equal variances assumed | .473 | .492 | -.502 | 248 | .616 |
Equal variances not assumed | -.502 | 246,565 | .616 | |||
AGE VARIATION
Test of Homogeneity of Variances
Levene Statistic
df1 | df2 | Sig. | |
1,531 | 3 | 246 | .207 |
>> Sig Levene's Test is 0.207 >0.05. We use the F test sig result in the ANOVA table.
ANOVA
Sum of Squares | df | Mean Square | F | Sig. | |
Between Groups | .698 | 3 | .233 | .418 | .740 |
Within Groups | 136,773 | 246 | .556 | ||
Total | 137,471 | 249 |
INCOME VARIATION
Levene Statistic
df1 | df2 | Sig. | |
.790 | 3 | 246 | .500 |
>> Sig Levene's Test is 0.500 >0.05. We use the F test sig result in the ANOVA table.
ANOVA
Sum of Squares | df | Mean Square | F | Sig. | |
Between Groups | 5,283 | 3 | 1,761 | 3,277 | .022 |
Within Groups | 132,188 | 246 | .537 | ||
Total | 137,471 | 249 |
EDUCATIONAL VARIATION
Levene Statistic
df1 | df2 | Sig. | |
.387 | 3 | 246 | .763 |
>> Sig Levene's Test is 0.763 >0.05. We use the F test sig result in the ANOVA table.
ANOVA
Sum of Squares | df | Mean Square | F | Sig. | |
Between Groups | .199 | 3 | .066 | .119 | .949 |
Within Groups | 137,272 | 246 | .558 | ||
Total | 137,471 | 249 |
CAREER CHANGE
Levene Statistic
df1 | df2 | Sig. | |
1,871 | 8 | 241 | .065 |
>> Sig Levene's Test is 0.063 >0.05. We use the F test sig result in the ANOVA table.
ANOVA
Sum of Squares | df | Mean Square | F | Sig. | |
Between Groups | 5,047 | 8 | .631 | 1,148 | .332 |
Within Groups | 132,424 | 241 | .549 | ||
Total | 137,471 | 249 |





