7. Personal Capacity Development Scale
Reliability Statistics
Cronbach's Alpha
N of Items | |
.898 | 4 |
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Item Statistics
Mean | Std. Deviation | N | |
NL1 | 3.9143 | .87621 | 210 |
NL2 | 3.9000 | .88285 | 210 |
NL3 | 3.8905 | .93441 | 210 |
NL4 | 3.7667 | .86828 | 210 |
Item-Total Statistics
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Cronbach's Alpha if Item Deleted | |
NL1 | 11.5571 | 5,626 | .799 | .858 |
NL2 | 11.5714 | 5,567 | .809 | .855 |
NL3 | 11.5810 | 5,527 | .754 | .875 |
NL4 | 11.7048 | 5,884 | .730 | .883 |
Scale Statistics
Mean
Variance | Std. Deviation | N of Items | |
15.4714 | 9,714 | 3.11681 | 4 |
8. Scale of Organizational Social Responsibility Awareness
Reliability Statistics
Cronbach's Alpha
N of Items | |
.866 | 5 |
Item Statistics
Mean | Std. Deviation | N | |
TN1 | 4.0238 | .79134 | 210 |
TN2 | 3.9476 | .75907 | 210 |
TN3 | 3.8429 | .76344 | 210 |
TN4 | 3.8048 | .76087 | 210 |
TN5 | 3.7190 | .67215 | 210 |
Item-Total Statistics
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Cronbach's Alpha if Item Deleted | |
TN1 | 15.3143 | 6.063 | .637 | .852 |
TN2 | 15.3905 | 5,952 | .714 | .832 |
TN3 | 15.4952 | 6.022 | .685 | .839 |
TN4 | 15.5333 | 5.810 | .759 | .820 |
TN5 | 15.6190 | 6,486 | .653 | .847 |
Scale Statistics
Mean
Variance | Std. Deviation | N of Items | |
19.3381 | 9,172 | 3.02857 | 5 |
9. Job satisfaction scale
Reliability Statistics
Cronbach's Alpha
N of Items | |
.892 | 5 |
Item Statistics
Mean | Std. Deviation | N | |
STM1 | 3.4905 | .94964 | 210 |
STM2 | 3.5238 | .94939 | 210 |
STM3 | 3.8143 | .79399 | 210 |
STM4 | 4.1048 | .81168 | 210 |
STM5 | 3.5143 | 1.01768 | 210 |
Item-Total Statistics
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Cronbach's Alpha if Item Deleted | |
STM1 | 14.9571 | 8,673 | .863 | .837 |
STM2 | 14.9238 | 8,836 | .826 | .846 |
STM3 | 14.6333 | 10,626 | .608 | .894 |
STM4 | 14.3429 | 10,332 | .654 | .886 |
STM5 | 14.9333 | 8,866 | .742 | .868 |
Scale Statistics
Mean
Variance | Std. Deviation | N of Items | |
18.4476 | 14,402 | 3.79494 | 5 |
APPENDIX 4
EFA RESULTS OF WORK LIFE QUALITY FACTORS
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
.845 | |
Bartlett's Test of Sphericity Approx. Chi-Square | 6.397E3 |
df | 595 |
Sig. | .000 |
Communalities
Initial | Extraction | |
DK1 | 1,000 | .781 |
DK2 | 1,000 | .716 |
DK3 | 1,000 | .777 |
DK4 | 1,000 | .794 |
DK5 | 1,000 | .789 |
LT1 | 1,000 | .632 |
LT2 | 1,000 | .685 |
LT3 | 1,000 | .761 |
LT4 | 1,000 | .602 |
LT5 | 1,000 | .770 |
TN1 | 1,000 | .620 |
TN2 | 1,000 | .715 |
TN3 | 1,000 | .703 |
TN4 | 1,000 | .823 |
TN5 | 1,000 | .723 |
NL1 | 1,000 | .793 |
NL2 | 1,000 | .802 |
NL3 | 1,000 | .789 |
NL4 | 1,000 | .708 |
QL1 | 1,000 | .862 |
QL2 | 1,000 | .748 |
QL3 | 1,000 | .645 |
QL4 | 1,000 | .875 |
CH1 | 1,000 | .891 |
CH2 | 1,000 | .835 |
CH3 | 1,000 | .684 |
CH4 | 1,000 | .721 |
HN1 | 1,000 | .719 |
HN2 | 1,000 | .856 |
HN3 | 1,000 | .878 |
HN4 | 1,000 | .615 |
CB1 | 1,000 | .801 |
CB2 | 1,000 | .701 |
CB3 | 1,000 | .755 |
CB4 | 1,000 | .712 |
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
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 | 10,852 | 31,006 | 31,006 | 10,852 | 31,006 | 31,006 | 3,732 | 10,662 | 10,662 |
2 | 3,512 | 10,034 | 41,040 | 3,512 | 10,034 | 41,040 | 3,542 | 10,121 | 20,783 |
3 | 2,781 | 7,945 | 48,985 | 2,781 | 7,945 | 48,985 | 3,362 | 9,607 | 30,390 |
4 | 2,559 | 7,312 | 56,298 | 2,559 | 7,312 | 56,298 | 3.330 | 9,515 | 39,905 |
5 | 2,162 | 6.179 | 62,476 | 2,162 | 6.179 | 62,476 | 3.322 | 9,492 | 49,397 |
6 | 1,700 | 4,858 | 67,334 | 1,700 | 4,858 | 67,334 | 3,094 | 8,841 | 58,238 |
7 | 1,491 | 4,261 | 71,595 | 1,491 | 4,261 | 71,595 | 2,954 | 8,440 | 66,678 |
8 | 1,225 | 3,499 | 75,095 | 1,225 | 3,499 | 75,095 | 2,946 | 8,416 | 75,095 |
9 | .962 | 2,750 | 77,844 | ||||||
10 | .796 | 2,275 | 80,119 | ||||||
11 | .771 | 2.203 | 82,322 | ||||||
12 | .564 | 1.611 | 83,933 | ||||||
13 | .542 | 1,549 | 85,482 | ||||||
14 | .509 | 1,454 | 86,936 | ||||||
15 | .484 | 1,383 | 88,319 | ||||||
16 | .427 | 1,220 | 89,539 | ||||||
17 | .398 | 1,137 | 90,676 | ||||||
18 | .363 | 1,036 | 91,712 | ||||||
19 | .336 | .961 | 92,672 | ||||||
20 | .304 | .868 | 93,540 | ||||||
21 | .296 | .845 | 94,386 | ||||||
22 | .276 | .790 | 95,175 | ||||||
23 | .255 | .728 | 95,903 | ||||||
24 | .222 | .635 | 96,538 | ||||||
25 | .199 | .569 | 97,107 | ||||||
26 | .187 | .536 | 97,643 | ||||||
27 | .172 | .491 | 98,134 | ||||||
28 | .138 | .394 | 98,527 | ||||||
29 | .132 | .376 | 98,903 | ||||||
30 | .107 | .306 | 99,209 | ||||||
31 | .102 | .291 | 99,500 | ||||||
32 | .078 | .223 | 99,723 | ||||||
33 | .042 | .121 | 99,844 | ||||||
34 | .030 | .086 | 99,930 | ||||||
35 | .024 | .070 | 100,000 | ||||||
Extraction Method: Principal Component Analysis.
Rotated Component Matrix a
Component | ||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
DK1 | .764 | .279 | .249 | |||||
DK2 | .705 | .305 | ||||||
DK3 | .843 | |||||||
DK4 | .774 | .299 | .205 | |||||
DK5 | .839 | |||||||
LT1 | .758 | |||||||
LT2 | .783 | |||||||
LT3 | .803 | .250 | ||||||
LT4 | .733 | |||||||
LT5 | .796 | .249 | ||||||
TN1 | .731 | .235 | ||||||
TN2 | .797 | |||||||
TN3 | .216 | .762 | ||||||
TN4 | .879 | |||||||
TN5 | .805 | .216 | ||||||
NL1 | .789 | .254 | ||||||
NL2 | .804 | .248 | ||||||
NL3 | .816 | .240 | ||||||
NL4 | .779 | |||||||
QL1 | .869 | .227 | ||||||
QL2 | .803 | |||||||
QL3 | .758 | |||||||
QL4 | .850 | .260 | ||||||
CH1 | .241 | .827 | ||||||
CH2 | .842 | |||||||
CH3 | .230 | .750 | .226 | |||||
CH4 | .735 | .305 | ||||||
HN1 | .223 | .798 | ||||||
HN2 | .855 | |||||||
HN3 | .852 | |||||||
HN4 | .250 | .217 | .225 | .642 | ||||
CB1 | .268 | .212 | .772 | |||||
CB2 | .244 | .753 | ||||||
CB3 | .234 | .231 | .741 | |||||
CB4 | .339 | .707 | ||||||
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
APPENDIX 5
EFA RESULTS JOB SATISFACTION FACTOR
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
.806 | |
Bartlett's Test of Sphericity Approx. Chi-Square | 778.36 |
2 | |
df | 10 |
Sig. | .000 |
Communalities
Initial | Extraction | |
STM1 | 1,000 | .855 |
STM2 | 1,000 | .814 |
STM3 | 1,000 | .534 |
STM4 | 1,000 | .591 |
STM5 | 1,000 | .707 |
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Initial | Eigenvalues | Extraction Sums of Squared Loadings | ||||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 3,500 | 70,007 | 70,007 | 3,500 | 70,007 | 70,007 |
2 | .553 | 11,056 | 81,063 | |||
3 | .524 | 10,489 | 91,553 | |||
4 | .359 | 7.181 | 98,734 | |||
5 | .063 | 1,266 | 100,000 | |||
Extraction Method: Principal Component Analysis.
Component Matrix a
Component | |
1 | |
STM1 | .925 |
STM2 | .902 |
STM3 | .730 |
STM4 | .769 |
STM5 | .841 |
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
APPENDIX 6
MULTIPLE REGRESSION RESULTS
1. Correlation analysis results
Correlations
LT | DK | NL | CH | HN | QL | CB | TN | STM | ||
LT | Pearson Correlation | 1 | .357 ** | .282 ** | .280 ** | .479 ** | .187 ** | .352 ** | .224 ** | .514 ** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .007 | .000 | .001 | .000 | ||
N | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | |
DK | Pearson Correlation | .357 ** | 1 | .412 ** | .370 ** | .309 ** | .391 ** | .527 ** | .076 | .679 ** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | .274 | .000 | ||
N | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | |
NL | Pearson Correlation | .282 ** | .412 ** | 1 | .528 ** | .377 ** | .334 ** | .362 ** | .158 * | .543 ** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | .022 | .000 | ||
N | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | |
CH | Pearson Correlation | .280 ** | .370 ** | .528 ** | 1 | .388 ** | .326 ** | .483 ** | .207 ** | .564 ** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | .003 | .000 | ||
N | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | |
HN | Pearson Correlation | .479 ** | .309 ** | .377 ** | .388 ** | 1 | .301 ** | .417 ** | .231 ** | .551 ** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | .001 | .000 | ||
N | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | |
QL | Pearson Correlation | .187 ** | .391 ** | .334 ** | .326 ** | .301 ** | 1 | .475 ** | .079 | .505 ** |
Sig. (2-tailed) | .007 | .000 | .000 | .000 | .000 | .000 | .255 | .000 | ||
N | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | |
CB | Pearson Correlation | .352 ** | .527 ** | .362 ** | .483 ** | .417 ** | .475 ** | 1 | .188 ** | .683 ** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | .006 | .000 | ||
N | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | |
TN | Pearson Correlation | .224 ** | .076 | .158 * | .207 ** | .231 ** | .079 | .188 ** | 1 | .282 ** |
Sig. (2-tailed) | .001 | .274 | .022 | .003 | .001 | .255 | .006 | .000 | ||
N | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | |
STM Pearson Correlation | .514 ** | .679 ** | .543 ** | .564 ** | .551 ** | .505 ** | .683 ** | .282 ** | 1 | |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | .000 | .000 | ||
N | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | |
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).





