IBM SPSS Web Report - M2 variables (binary) 259 cases varimax rotated 2 factor.spv Contents
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FACTOR
  /VARIABLES M2dTradBIN M2eGVHBIN M2fVHBIN M2jPoliceBIN M2kTradeBIN M2lTeachBIN M2mSchABIN
    M2nRelLeBIN
  /MISSING LISTWISE
  /ANALYSIS M2dTradBIN M2eGVHBIN M2fVHBIN M2jPoliceBIN M2kTradeBIN M2lTeachBIN M2mSchABIN
    M2nRelLeBIN
  /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 | .60 | .491 | 259 |
M2.e. Trust in group village headmen | .56 | .497 | 259 |
M2.f. Trust in village headmen | .58 | .495 | 259 |
M2.j. Trust in police | .54 | .500 | 259 |
M2.k. Trust in traders | .19 | .395 | 259 |
M2.l. Trust in teachers | .61 | .490 | 259 |
M2.m.Trust in school administrators | .58 | .494 | 259 |
M2.n. Trust in religious leaders | .68 | .468 | 259 |
Raw | Rescaled | |||
Initial | Extraction | Initial | Extraction | |
M2.d. Trust in Traditional Authorities | .241 | .178 | 1.000 | .737 |
M2.e. Trust in group village headmen | .247 | .211 | 1.000 | .853 |
M2.f. Trust in village headmen | .245 | .183 | 1.000 | .746 |
M2.j. Trust in police | .250 | .125 | 1.000 | .499 |
M2.k. Trust in traders | .156 | .045 | 1.000 | .287 |
M2.l. Trust in teachers | .240 | .161 | 1.000 | .671 |
M2.m.Trust in school administrators | .244 | .169 | 1.000 | .693 |
M2.n. Trust in religious leaders | .219 | .095 | 1.000 | .434 |
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 | .926 | 50.260 | 50.260 | .926 | 50.260 | 50.260 | .583 | 31.639 | 31.639 |
2 | .240 | 13.026 | 63.286 | .240 | 13.026 | 63.286 | .583 | 31.647 | 63.286 | |
3 | .159 | 8.643 | 71.929 | |||||||
4 | .146 | 7.917 | 79.846 | |||||||
5 | .118 | 6.403 | 86.249 | |||||||
6 | .101 | 5.497 | 91.746 | |||||||
7 | .094 | 5.099 | 96.845 | |||||||
8 | .058 | 3.155 | 100.000 | |||||||
Rescaled | 1 | .926 | 50.260 | 50.260 | 3.913 | 48.915 | 48.915 | 2.517 | 31.467 | 31.467 |
2 | .240 | 13.026 | 63.286 | 1.006 | 12.577 | 61.491 | 2.402 | 30.024 | 61.491 | |
3 | .159 | 8.643 | 71.929 | |||||||
4 | .146 | 7.917 | 79.846 | |||||||
5 | .118 | 6.403 | 86.249 | |||||||
6 | .101 | 5.497 | 91.746 | |||||||
7 | .094 | 5.099 | 96.845 | |||||||
8 | .058 | 3.155 | 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 | .371 | -.200 | .755 | -.407 |
M2.e. Trust in group village headmen | .393 | -.237 | .791 | -.477 |
M2.f. Trust in village headmen | .401 | -.148 | .811 | -.298 |
M2.j. Trust in police | .344 | .081 | .688 | .162 |
M2.k. Trust in traders | .196 | .080 | .496 | .202 |
M2.l. Trust in teachers | .339 | .215 | .691 | .439 |
M2.m.Trust in school administrators | .347 | .220 | .703 | .445 |
M2.n. Trust in religious leaders | .284 | .120 | .607 | .257 |
Extraction Method: Principal Component Analysis. | ||||
a. 2 components extracted. | ||||
Raw | Rescaled | |||
Component | Component | |||
1 | 2 | 1 | 2 | |
M2.d. Trust in Traditional Authorities | .121 | .404 | .246 | .822 |
M2.e. Trust in group village headmen | .111 | .446 | .222 | .896 |
M2.f. Trust in village headmen | .180 | .388 | .363 | .784 |
M2.j. Trust in police | .300 | .186 | .601 | .372 |
M2.k. Trust in traders | .195 | .082 | .494 | .208 |
M2.l. Trust in teachers | .391 | .087 | .800 | .178 |
M2.m.Trust in school administrators | .401 | .090 | .812 | .183 |
M2.n. Trust in religious leaders | .285 | .116 | .610 | .248 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. |
||||
a. Rotation converged in 3 iterations. | ||||
Component | 1 | 2 |
1 | .707 | .707 |
2 | .707 | -.707 |
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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