IBM SPSS Web Report - M2 variables 259 cases varimax rotated 2 factor.spv Contents
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FACTOR
  /VARIABLES M2dTradAut M2eGVH M2fVH M2jPolice M2kTraders M2lTeacher M2mSchAdm M2nRelLead
  /MISSING LISTWISE
  /ANALYSIS M2dTradAut M2eGVH M2fVH M2jPolice M2kTraders M2lTeacher M2mSchAdm M2nRelLead
  /PRINT UNIVARIATE INITIAL EXTRACTION ROTATION
  /PLOT EIGEN ROTATION
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.
Mean | Std. Deviation | Analysis N | |
M2.d. Trust in Traditional Authorities | 3.80 | 1.171 | 259 |
M2.e. Trust in group village headmen | 3.69 | 1.207 | 259 |
M2.f. Trust in village headmen | 3.69 | 1.216 | 259 |
M2.j. Trust in police | 3.62 | 1.280 | 259 |
M2.k. Trust in traders | 2.51 | 1.351 | 259 |
M2.l. Trust in teachers | 3.86 | 1.096 | 259 |
M2.m.Trust in school administrators | 3.71 | 1.164 | 259 |
M2.n. Trust in religious leaders | 3.97 | 1.096 | 259 |
Raw | Rescaled | |||
Initial | Extraction | Initial | Extraction | |
M2.d. Trust in Traditional Authorities | 1.370 | 1.038 | 1.000 | .757 |
M2.e. Trust in group village headmen | 1.456 | 1.159 | 1.000 | .796 |
M2.f. Trust in village headmen | 1.479 | 1.154 | 1.000 | .780 |
M2.j. Trust in police | 1.639 | .928 | 1.000 | .566 |
M2.k. Trust in traders | 1.824 | 1.494 | 1.000 | .819 |
M2.l. Trust in teachers | 1.200 | .650 | 1.000 | .542 |
M2.m.Trust in school administrators | 1.354 | .830 | 1.000 | .613 |
M2.n. Trust in religious leaders | 1.201 | .448 | 1.000 | .373 |
Extraction Method: Principal Component Analysis. | ||||
Component | Initial Eigenvaluesa | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings | |||||||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | ||
Raw | 1 | 6.235 | 54.102 | 54.102 | 6.235 | 54.102 | 54.102 | 4.264 | 37.002 | 37.002 |
2 | 1.465 | 12.715 | 66.817 | 1.465 | 12.715 | 66.817 | 3.436 | 29.815 | 66.817 | |
3 | 1.069 | 9.273 | 76.090 | |||||||
4 | .869 | 7.537 | 83.627 | |||||||
5 | .713 | 6.184 | 89.811 | |||||||
6 | .448 | 3.889 | 93.699 | |||||||
7 | .414 | 3.591 | 97.290 | |||||||
8 | .312 | 2.710 | 100.000 | |||||||
Rescaled | 1 | 6.235 | 54.102 | 54.102 | 4.341 | 54.261 | 54.261 | 3.041 | 38.015 | 38.015 |
2 | 1.465 | 12.715 | 66.817 | .905 | 11.310 | 65.571 | 2.205 | 27.556 | 65.571 | |
3 | 1.069 | 9.273 | 76.090 | |||||||
4 | .869 | 7.537 | 83.627 | |||||||
5 | .713 | 6.184 | 89.811 | |||||||
6 | .448 | 3.889 | 93.699 | |||||||
7 | .414 | 3.591 | 97.290 | |||||||
8 | .312 | 2.710 | 100.000 | |||||||
Extraction Method: Principal Component Analysis. | ||||||||||
a. When analyzing a covariance matrix, the initial eigenvalues are the same across the raw and rescaled solution. | ||||||||||
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Raw | Rescaled | |||
Component | Component | |||
1 | 2 | 1 | 2 | |
M2.d. Trust in Traditional Authorities | .903 | -.472 | .771 | -.403 |
M2.e. Trust in group village headmen | .964 | -.480 | .799 | -.397 |
M2.f. Trust in village headmen | 1.023 | -.330 | .841 | -.271 |
M2.j. Trust in police | .924 | .272 | .722 | .212 |
M2.k. Trust in traders | .847 | .881 | .627 | .653 |
M2.l. Trust in teachers | .802 | .080 | .732 | .073 |
M2.m.Trust in school administrators | .886 | .213 | .761 | .183 |
M2.n. Trust in religious leaders | .668 | -.038 | .610 | -.034 |
Extraction Method: Principal Component Analysis. | ||||
a. 2 components extracted. | ||||
Raw | Rescaled | |||
Component | Component | |||
1 | 2 | 1 | 2 | |
M2.d. Trust in Traditional Authorities | .995 | .219 | .850 | .187 |
M2.e. Trust in group village headmen | 1.047 | .252 | .867 | .209 |
M2.f. Trust in village headmen | .995 | .405 | .818 | .333 |
M2.j. Trust in police | .533 | .802 | .416 | .627 |
M2.k. Trust in traders | .082 | 1.219 | .061 | .903 |
M2.l. Trust in teachers | .563 | .577 | .514 | .527 |
M2.m.Trust in school administrators | .542 | .733 | .466 | .630 |
M2.n. Trust in religious leaders | .536 | .401 | .489 | .366 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. |
||||
a. Rotation converged in 3 iterations. | ||||
Component | 1 | 2 |
1 | .766 | .643 |
2 | -.643 | .766 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. |
||
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ABOUT
Created Using: IBM SPSS Statistics 26 |
Creation Date: Feb 13, 2020 |
Document Version: Original |
Saved Date: Feb 13, 2020 |
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