3. Leadership
Cronbach's Alpha | N of Items |
.788 | 3 |
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Item-Total Statistics
Scale Scale Mean if Variance if
Corrected Item-Total
Cronbach's Alpha if Item
Item Deleted
Item Deleted
Correlation
Deleted
LD1
8.52 | 1,604 | .613 | .729 | |
LD2 | 8.46 | 1,502 | .659 | .679 |
LD3 | 8.53 | 1,474 | .615 | .729 |
4. Colleagues
Cronbach's Alpha | N of Items |
.805 | 3 |
Item-Total Statistics
Scale Scale Mean if Variance if
Corrected Item-Total
Cronbach's Alpha if Item
Item Deleted
Item Deleted
Correlation
Deleted
DN1
8.56 | 1,731 | .665 | .720 | |
DN2 | 8.49 | 1,791 | .655 | .731 |
DN3 | 8.56 | 1,845 | .637 | .749 |
5. Salary
Cronbach's Alpha | N of Items |
.756 | 4 |
Item-Total Statistics
Scale Scale Mean if Variance if
Corrected Item-Total
Cronbach's Alpha if Item
Item Deleted
Item Deleted
Correlation
Deleted
TL1
12.03 | 2,560 | .562 | .696 | |
TL2 | 12.02 | 2,410 | .648 | .642 |
TL3 | 11.97 | 2,963 | .524 | .715 |
TL4 | 11.76 | 3.117 | .493 | .731 |
6. Benefits
Cronbach's Alpha | N of Items |
.775 | 4 |
Item-Total Statistics
Scale Scale Mean if Variance if
Corrected Item-Total
Cronbach's Alpha if Item
Item Deleted
Item Deleted
Correlation
Deleted
PL1
12.07 | 3,606 | .503 | .761 | |
PL2 | 11.95 | 3,271 | .567 | .730 |
PL3 | 11.85 | 3,452 | .701 | .662 |
PL4 | 11.91 | 3,719 | .566 | .728 |
7. Working conditions
Cronbach's Alpha | N of Items |
.755 | 3 |
Item-Total Statistics
Scale Scale Mean if Variance if
Corrected Item-Total
Cronbach's Alpha if Item
Item Deleted
Item Deleted
Correlation
Deleted
DK1
7.79 | 1,532 | .519 | .744 | |
DK2 | 7.87 | 1,350 | .634 | .613 |
DK3 | 7.69 | 1,409 | .602 | .652 |
8. Job satisfaction
Cronbach's Alpha | N of Items |
.731 | 3 |
Item-Total Statistics
Scale Scale Mean if Variance if
Corrected Item-Total
Cronbach's Alpha if Item
Item Deleted
Item Deleted
Correlation
Deleted
SHL1
8.53 | 1,733 | .517 | .687 | |
SHL2 | 8.39 | 1,434 | .588 | .604 |
SHL3 | 8.32 | 1,587 | .562 | .635 |
APPENDIX 4: EXPLORATORY FACTOR ANALYSIS EFA
1. Exploratory factor analysis EFA for independent variables
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy.
.782 | ||
Bartlett's Test of Sphericity | Approx. Chi-Square | 1362.459 |
df | 276 | |
Sig. | .000 |
Total Variance Explained
Initial Eigenvalues
Extraction Sums of Squared Loadings
Rotation Sums of Squared Loadings
Component
Total
% of Variance
cumulative
% Total
% of Variance
cumulative
% Total
% of Variance
cumulative
%
1
6,427 | 26,778 | 26,778 | 6,427 | 26,778 | 26,778 | 2,617 | 10,902 | 10,902 | |
2 | 2.106 | 8,777 | 35,555 | 2.106 | 8,777 | 35,555 | 2,508 | 10,449 | 21,352 |
3 | 1,950 | 8.125 | 43,680 | 1,950 | 8.125 | 43,680 | 2,478 | 10,323 | 31,675 |
4 | 1,768 | 7,368 | 51,049 | 1,768 | 7,368 | 51,049 | 2,284 | 9,518 | 41,193 |
5 | 1,497 | 6,239 | 57,288 | 1,497 | 6,239 | 57,288 | 2,238 | 9,325 | 50,518 |
6 | 1,486 | 6,190 | 63,479 | 1,486 | 6,190 | 63,479 | 2.209 | 9.202 | 59,720 |
7 | 1,207 | 5,028 | 68,506 | 1,207 | 5,028 | 68,506 | 2.109 | 8,786 | 68,506 |
8 | .798 | 3.326 | 71,832 | ||||||
9 | .720 | 3.001 | 74,834 | ||||||
10 | .705 | 2,939 | 77,773 | ||||||
11 | .610 | 2,542 | 80,315 | ||||||
12 | .546 | 2,275 | 82,590 | ||||||
13 | .513 | 2,137 | 84,727 | ||||||
14 | .489 | 2,038 | 86,765 | ||||||
15 | .451 | 1,879 | 88,644 | ||||||
16 | .423 | 1,762 | 90,406 | ||||||
17 | .405 | 1,687 | 92,093 |
18
.361 | 1,503 | 93,595 | |
19 | .326 | 1,359 | 94,954 |
20 | .298 | 1,240 | 96,194 |
21 | .295 | 1,230 | 97,424 |
22 | .247 | 1,030 | 98,454 |
23 | .207 | .860 | 99,314 |
24 | .165 | .686 | 100,000 |
Extraction Method: Principal Component Analysis.
Rotated Component Matrix a
Component
1 2 3 4 5 6 7
CH3
.822 | |
CH4 | .758 |
CH1 | .709 |
CH2 | .699 |
PL3 | .846 |
PL2 | .749 |
PL1 | .724 |
PL4 | .652 |
TL2 | .803 |
TL1 | .707 |
TL4 | .639 |
TL3 | .604 |
CV2 | .826 |
CV1 | .780 |
CV3 | .763 |
DN3 | .831 |
DN1
.813 | |
DN2 | .786 |
LD1 | .824 |
LD3 | .819 |
LD2 | .810 |
DK2 | .817 |
DK3 | .745 |
DK1 | .719 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
2. Exploratory factor analysis EFA for dependent variable
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy.
.678 | ||
Bartlett's Test of Sphericity | Approx. Chi-Square | 87,110 |
df | 3 | |
Sig. | .000 |
Total Variance Explained
Initial Eigenvalues Extraction Sums of Squared Loadings
Component Total
% of Variance
cumulative
% Total
% of Variance
cumulative
%
1
1,953 | 65,090 | 65,090 | 1,953 | 65,090 | 65,090 | |
2 | .577 | 19,232 | 84,322 | |||
3 | .470 | 15,678 | 100,000 |
Extraction Method: Principal Component Analysis.
Component Matrix a
Component 1
SHL2
.830 | |
SHL3 | .811 |
SHL1 | .778 |
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
APPENDIX 5: REGRESSION ANALYSIS
1. Correlation analysis
Correlations
Job satisfaction
Nature of work
Training and advancement opportunities
Leader
Colleague
Salary
Benefits
Working conditions
Job satisfaction
Pearson Correlation | 1 | .558 ** | .573 ** | .420 ** | .408 ** | .524 ** | .511 ** | .527 ** | |
Sig. (2- tailed) | .000 | .000 | .000 | .000 | .000 | .000 | .000 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
Nature labour | Pearson Correlation | .558 ** | 1 | .398 ** | .125 | .284 ** | .393 ** | .323 ** | .370 ** |
job | Sig. (2- tailed) | .000 | .000 | .141 | .001 | .000 | .000 | .000 | |
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
Opportunity train | Pearson Correlation | .573 ** | .398 ** | 1 | .221 ** | .230 ** | .462 ** | .282 ** | .326 ** |
and promotion
Sig. (2- tailed) | .000 | .000 | .009 | .006 | .000 | .001 | .000 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
Leader | Pearson Correlation | .420 ** | .125 | .221 ** | 1 | .330 ** | .265 ** | .206 * | .277 ** |
Sig. (2- tailed) | .000 | .141 | .009 | .000 | .002 | .015 | .001 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
Colleague | Pearson Correlation | .408 ** | .284 ** | .230 ** | .330 ** | 1 | .326 ** | .287 ** | .307 ** |
Sig. (2- tailed) | .000 | .001 | .006 | .000 | .000 | .001 | .000 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
Salary | Pearson Correlation | .524 ** | .393 ** | .462 ** | .265 ** | .326 ** | 1 | .293 ** | .452 ** |
Sig. (2- tailed) | .000 | .000 | .000 | .002 | .000 | .000 | .000 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
Benefits | Pearson Correlation | .511 ** | .323 ** | .282 ** | .206 * | .287 ** | .293 ** | 1 | .236 ** |
Sig. (2- tailed) | .000 | .000 | .001 | .015 | .001 | .000 | .005 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
Working conditions | Pearson Correlation | .527 ** | .370 ** | .326 ** | .277 ** | .307 ** | .452 ** | .236 ** | 1 |
Sig. (2- tailed) | .000 | .000 | .000 | .001 | .000 | .000 | .005 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | 140 |
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).