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APPENDIX
Appendix 1: Results of exploratory factor analysis EFA
Dependent variable
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | ,810 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 3768,971 |
df | 55 | |
Sig. | ,000 | |
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Exploratory Factor Analysis Efa For Independent Variables

Total Variance Explained
Factor | Initial Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings a | ||||
Total | % of Variance | cumulative % | Total | % of Variance | cumulative % | Total | |
1 | 4,510 | 41,000 | 41,000 | 4,295 | 39,047 | 39,047 | 3,829 |
2 | 2,634 | 23,949 | 64,948 | 2,232 | 20,287 | 59,334 | 3,312 |
3 | 1,330 | 12,090 | 77,039 | 1,118 | 10,159 | 69,493 | 2,249 |
4 | ,667 | 6,060 | 83,099 | ||||
5 | ,423 | 3,848 | 86,947 | ||||
6 | ,382 | 3,470 | 90,417 | ||||
7 | ,336 | 3,054 | 93,471 | ||||
8 | ,294 | 2,677 | 96,148 | ||||
9 | ,223 | 2,028 | 98,176 | ||||
10 | ,111 | 1,012 | 99,188 | ||||
11 | ,089 | ,812 | 100,000 | ||||
Extraction Method: Principal Axis Factoring. | |||||||
a. When factors are correlated, sums of squared loadings cannot be added to obtain a total variance. | |||||||
Pattern Matrix a
Factor | |||
1 | 2 | 3 | |
BE2 | ,979 | ||
BE4 | ,895 | ||
BE3 | ,853 | ||
BE1 | ,745 | ||
CE2
,956 | |||
CE1 | ,905 | ||
CE3 | ,732 | ||
AE2 | ,871 | ||
AE3 | ,783 | ||
AE4 | ,739 | ||
AE1 | ,563 | ||
Extraction Method: Principal Axis Factoring. Rotation Method: Promax with Kaiser Normalization. | |||
a. Rotation converged in 4 iterations. | |||
Independent variable
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | ,841 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 15200,892 |
df | 1081 | |
Sig. | ,000 | |
Total Variance Explained
Factor | Initial Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings a | ||||
Total | % of Variance | cumulative % | Total | % of Variance | cumulative % | Total | |
1 | 8,936 | 19,013 | 19,013 | 8,596 | 18,289 | 18,289 | 4,248 |
2 | 4,417 | 9,398 | 28,412 | 4,217 | 8,973 | 27,262 | 3,559 |
3 | 3,470 | 7,382 | 35,794 | 3,156 | 6,715 | 33,976 | 3,894 |
4 | 3,167 | 6,739 | 42,533 | 2,867 | 6,101 | 40,077 | 5,007 |
5 | 2,864 | 6,093 | 48,627 | 2,556 | 5,439 | 45,516 | 4,295 |
6 | 2,801 | 5,960 | 54,587 | 2,483 | 5,283 | 50,799 | 3,848 |
7 | 2,119 | 4,509 | 59,097 | 1,722 | 3,665 | 54,464 | 2,720 |
8 | 2,004 | 4,264 | 63,361 | 1,692 | 3,599 | 58,063 | 4,955 |
9 | 1,742 | 3,706 | 67,067 | 1,403 | 2,985 | 61,048 | 4,590 |
10 | 1,454 | 3,093 | 70,160 | 1,138 | 2,422 | 63,470 | 4,247 |
11 | 1,330 | 2,829 | 72,989 | ,982 | 2,089 | 65,559 | 3,905 |
12 | 1,036 | 2,205 | 75,194 | ,724 | 1,540 | 67,099 | 5,215 |
13 | ,810 | 1,723 | 76,917 | ||||
14 | ,683 | 1,452 | 78,369 | ||||
15 | ,621 | 1,320 | 79,690 | ||||
16 | ,565 | 1,203 | 80,893 | ||||
17 | ,510 | 1,086 | 81,979 | ||||
18 | ,504 | 1,073 | 83,052 | ||||
19
,476 | 1,012 | 84,064 | |||||
20 | ,450 | ,958 | 85,022 | ||||
21 | ,444 | ,945 | 85,968 | ||||
22 | ,427 | ,909 | 86,877 | ||||
23 | ,405 | ,861 | 87,738 | ||||
24 | ,399 | ,849 | 88,586 | ||||
25 | ,375 | ,798 | 89,384 | ||||
26 | ,363 | ,771 | 90,156 | ||||
27 | ,350 | ,745 | 90,901 | ||||
28 | ,330 | ,701 | 91,602 | ||||
29 | ,316 | ,672 | 92,274 | ||||
30 | ,301 | ,641 | 92,915 | ||||
31 | ,289 | ,615 | 93,530 | ||||
32 | ,279 | ,593 | 94,123 | ||||
33 | ,270 | ,574 | 94,697 | ||||
34 | ,252 | ,537 | 95,234 | ||||
35 | ,246 | ,523 | 95,757 | ||||
36 | ,234 | ,498 | 96,255 | ||||
37 | ,230 | ,490 | 96,745 | ||||
38 | ,203 | ,432 | 97,177 | ||||
39 | ,201 | ,427 | 97,604 | ||||
40 | ,191 | ,405 | 98,010 | ||||
41 | ,187 | ,398 | 98,408 | ||||
42 | ,175 | ,372 | 98,780 | ||||
43 | ,160 | ,339 | 99,120 | ||||
44 | ,146 | ,311 | 99,431 | ||||
45 | ,127 | ,271 | 99,701 | ||||
46 | ,084 | ,178 | 99,879 | ||||
47 | ,057 | ,121 | 100,000 | ||||
Extraction Method: Principal Axis Factoring. | |||||||
a. When factors are correlated, sums of squared loadings cannot be added to obtain a total variance. | |||||||
Pattern Matrix a
Factor | ||||||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | |
COS3 | ,936 | |||||||||||
COS2 | ,927 | |||||||||||
COS4 | ,913 | |||||||||||
COS1
,882 | ||||||||||||
COS5 | ,840 | |||||||||||
PRT4 | ,898 | |||||||||||
PRT2 | ,863 | |||||||||||
PRT1 | ,818 | |||||||||||
PRT3 | ,786 | |||||||||||
LMD3 | ,902 | |||||||||||
LMD2 | ,902 | |||||||||||
LMD1 | ,747 | |||||||||||
LMD4 | ,727 | |||||||||||
SEP2 | ,955 | |||||||||||
SEP4 | ,769 | |||||||||||
SEP1 | ,747 | |||||||||||
SEP3 | ,725 | |||||||||||
HBS3 | ,951 | |||||||||||
HBS2 | ,765 | |||||||||||
HBS4 | ,751 | |||||||||||
HBS1 | ,723 | |||||||||||
VLD4 | ,912 | |||||||||||
VLD1 | ,872 | |||||||||||
VLD2 | ,796 | |||||||||||
VLD3 | ,577 | |||||||||||
HDO2 | ,876 | |||||||||||
HDO1 | ,797 | |||||||||||
HDO3 | ,780 | |||||||||||
HDO4 | ,756 | |||||||||||
SED3 | ,858 | |||||||||||
SED2 | ,848 | |||||||||||
SED4 | ,688 | |||||||||||
SED1 | ,589 | |||||||||||
ISD4 | ,838 | |||||||||||
ISD3 | ,798 | |||||||||||
ISD2 | ,734 | |||||||||||
ISD1 | ,601 | |||||||||||
BIC2 | ,842 | |||||||||||
BIC3 | ,732 | |||||||||||
BIC4 | ,698 |
BIC1
,625 | ||||||||||||
CDO2 | ,949 | |||||||||||
CDO3 | ,786 | |||||||||||
CDO1 | ,697 | |||||||||||
UBS2 | ,915 | |||||||||||
UBS1 | ,719 | |||||||||||
UBS3 | ,693 | |||||||||||
Extraction Method: Principal Axis Factoring. Rotation Method: Promax with Kaiser Normalization. | ||||||||||||
a. Rotation converged in 7 iterations. | ||||||||||||





