IBM SPSS Web Report - 43 binary variables 222 cases varimax rotated 11 factors.spv   


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Log
Log - Log - January 31, 2020

FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L1g L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c
    L8d L8g L8h L8i L8k M1trust M2dTradBIN M2eGVHBIN M2fVHBIN M2jPoliceBIN M2lTeachBIN M2mSchABIN
    M2nRelLeBIN M3aFamilBIN M3bRelatBIN M3cOwnVBIN M3dOutsVBIN M3eSaEthBIN M3fOutsEtBIN M3gSaChMBIN
    M3hNSaChMBIN
  /MISSING LISTWISE
  /ANALYSIS K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L1g L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c
    L8d L8g L8h L8i L8k M1trust M2dTradBIN M2eGVHBIN M2fVHBIN M2jPoliceBIN M2lTeachBIN M2mSchABIN
    M2nRelLeBIN M3aFamilBIN M3bRelatBIN M3cOwnVBIN M3dOutsVBIN M3eSaEthBIN M3fOutsEtBIN M3gSaChMBIN
    M3hNSaChMBIN
  /PRINT UNIVARIATE INITIAL EXTRACTION ROTATION
  /PLOT EIGEN ROTATION
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - January 31, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 45 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .44 .497 222
K1b Lending money to relatives .48 .501 222
K1c Lending money to people in your own village .38 .487 222
K1d Lending money to people outside the village .15 .357 222
K1e Lending money to people from the same mosque/ church .15 .361 222
K2a Lending tools like axes, hoes etc. to family members .72 .452 222
K2b Lending tools like axes, hoes etc. to relatives outside the household .77 .422 222
K2c Lending tools like axes, hoes etc. to people in your own village .65 .477 222
K2d Lending tools like axes, hoes etc. to people outside the village .24 .430 222
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .27 .445 222
L1g Member of religious groups .50 .501 222
L2 Participated in cooperative agricultural work .40 .490 222
L3.a. Participated last 12 months in cooperative work of preparing a garden .21 .406 222
L3.b. Participated last12 months in cooperative work of planting .07 .252 222
L3.d. Participated last 12 months in cooperative work of weeding .17 .374 222
L3.e. Participated last 12 months in cooperative work of harvesting .20 .400 222
L3.f. Participated last 12 months in cooperative work of other agriculture work .15 .357 222
L6 Participation in other exchange work than agriculture .52 .501 222
L7 Participated in public works without payment during the last year .79 .409 222
L8.a. Participated in school project over the last 12 months .48 .501 222
L8.b. Participated in road project over the last 12 months .53 .500 222
L8.c. Participated in bridge project over the last 12 months .27 .447 222
L8.d. Participated in church project over the last 12 months .27 .443 222
L8.g. Participated in health centre project over the last 12 months .14 .343 222
L8.h. Participated in irrigation project over the last 12 months .12 .322 222
L8.i. Participated in borehole project over the last 12 months .28 .450 222
L8.k. Participated in graveyard clearing project over the last 12 months .41 .494 222
M1 Most people can be trusted (1) or you cannot be too careful (0) .44 .498 222
M2.d. Trust in Traditional Authorities .59 .493 222
M2.e. Trust in group village headmen .55 .499 222
M2.f. Trust in village headmen .58 .494 222
M2.j. Trust in police .55 .498 222
M2.l. Trust in teachers .59 .494 222
M2.m.Trust in school administrators .59 .494 222
M2.n. Trust in religious leaders .66 .476 222
M3.a. Trust in family members .82 .389 222
M3.b. Trust in relatives .61 .489 222
M3.c. Trust in people in own village .40 .491 222
M3.d. Trust in people outside the village .22 .416 222
M3.e. Trust in people of same ethnic group .33 .472 222
M3.f. Trust in people outside ethnic group .22 .413 222
M3.g. Trust in people from same church/ mosque .50 .501 222
M3.h. Trust in people not from same church/ mosque .28 .452 222
Factor Analysis
Factor Analysis - Communalities - January 31, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 47 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .247 .191 1.000 .773
K1b Lending money to relatives .251 .192 1.000 .767
K1c Lending money to people in your own village .237 .177 1.000 .747
K1d Lending money to people outside the village .127 .069 1.000 .539
K1e Lending money to people from the same mosque/ church .130 .067 1.000 .515
K2a Lending tools like axes, hoes etc. to family members .204 .149 1.000 .728
K2b Lending tools like axes, hoes etc. to relatives outside the household .178 .112 1.000 .632
K2c Lending tools like axes, hoes etc. to people in your own village .228 .145 1.000 .636
K2d Lending tools like axes, hoes etc. to people outside the village .185 .129 1.000 .698
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .198 .152 1.000 .765
L1g Member of religious groups .251 .198 1.000 .790
L2 Participated in cooperative agricultural work .240 .197 1.000 .819
L3.a. Participated last 12 months in cooperative work of preparing a garden .165 .090 1.000 .545
L3.b. Participated last12 months in cooperative work of planting .063 .018 1.000 .282
L3.d. Participated last 12 months in cooperative work of weeding .140 .076 1.000 .548
L3.e. Participated last 12 months in cooperative work of harvesting .160 .096 1.000 .603
L3.f. Participated last 12 months in cooperative work of other agriculture work .127 .066 1.000 .522
L6 Participation in other exchange work than agriculture .251 .177 1.000 .705
L7 Participated in public works without payment during the last year .168 .125 1.000 .748
L8.a. Participated in school project over the last 12 months .251 .167 1.000 .664
L8.b. Participated in road project over the last 12 months .250 .180 1.000 .717
L8.c. Participated in bridge project over the last 12 months .200 .110 1.000 .549
L8.d. Participated in church project over the last 12 months .196 .109 1.000 .556
L8.g. Participated in health centre project over the last 12 months .117 .039 1.000 .333
L8.h. Participated in irrigation project over the last 12 months .104 .032 1.000 .307
L8.i. Participated in borehole project over the last 12 months .202 .124 1.000 .614
L8.k. Participated in graveyard clearing project over the last 12 months .244 .191 1.000 .782
M1 Most people can be trusted (1) or you cannot be too careful (0) .248 .171 1.000 .690
M2.d. Trust in Traditional Authorities .243 .180 1.000 .742
M2.e. Trust in group village headmen .249 .205 1.000 .826
M2.f. Trust in village headmen .245 .179 1.000 .734
M2.j. Trust in police .248 .164 1.000 .660
M2.l. Trust in teachers .244 .169 1.000 .692
M2.m.Trust in school administrators .244 .186 1.000 .761
M2.n. Trust in religious leaders .226 .125 1.000 .555
M3.a. Trust in family members .151 .075 1.000 .498
M3.b. Trust in relatives .239 .168 1.000 .701
M3.c. Trust in people in own village .241 .156 1.000 .647
M3.d. Trust in people outside the village .173 .103 1.000 .596
M3.e. Trust in people of same ethnic group .223 .159 1.000 .714
M3.f. Trust in people outside ethnic group .170 .116 1.000 .683
M3.g. Trust in people from same church/ mosque .251 .164 1.000 .654
M3.h. Trust in people not from same church/ mosque .204 .144 1.000 .707
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - January 31, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 91 rows
  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 1.539 17.663 17.663 1.539 17.663 17.663 .919 10.551 10.551
2 1.067 12.247 29.910 1.067 12.247 29.910 .634 7.280 17.831
3 .695 7.977 37.887 .695 7.977 37.887 .643 7.377 25.208
4 .492 5.643 43.530 .492 5.643 43.530 .624 7.166 32.374
5 .427 4.899 48.428 .427 4.899 48.428 .644 7.385 39.759
6 .360 4.131 52.560 .360 4.131 52.560 .430 4.930 44.689
7 .291 3.339 55.899 .291 3.339 55.899 .486 5.574 50.263
8 .271 3.112 59.011 .271 3.112 59.011 .414 4.754 55.016
9 .249 2.858 61.869 .249 2.858 61.869 .388 4.450 59.467
10 .231 2.656 64.525 .231 2.656 64.525 .359 4.119 63.585
11 .221 2.541 67.066 .221 2.541 67.066 .303 3.480 67.066
12 .200 2.299 69.365            
13 .191 2.196 71.561            
14 .167 1.912 73.473            
15 .161 1.852 75.325            
16 .151 1.735 77.060            
17 .132 1.516 78.576            
18 .132 1.513 80.089            
19 .126 1.446 81.535            
20 .120 1.380 82.914            
21 .111 1.270 84.185            
22 .106 1.211 85.396            
23 .102 1.168 86.564            
24 .099 1.140 87.704            
25 .093 1.067 88.771            
26 .087 1.000 89.771            
27 .082 .945 90.716            
28 .077 .883 91.599            
29 .074 .853 92.453            
30 .065 .751 93.203            
31 .065 .748 93.952            
32 .061 .694 94.646            
33 .058 .660 95.307            
34 .056 .641 95.948            
35 .054 .620 96.568            
36 .049 .566 97.134            
37 .046 .530 97.664            
38 .044 .506 98.170            
39 .040 .464 98.634            
40 .034 .389 99.023            
41 .031 .352 99.375            
42 .029 .336 99.712            
43 .025 .288 100.000            
Rescaled 1 1.539 17.663 17.663 6.931 16.119 16.119 4.303 10.007 10.007
2 1.067 12.247 29.910 5.142 11.959 28.078 3.484 8.102 18.109
3 .695 7.977 37.887 3.467 8.062 36.140 3.207 7.459 25.567
4 .492 5.643 43.530 2.406 5.594 41.734 2.917 6.784 32.351
5 .427 4.899 48.428 2.116 4.920 46.655 2.705 6.292 38.643
6 .360 4.131 52.560 1.723 4.006 50.661 2.277 5.294 43.937
7 .291 3.339 55.899 1.344 3.126 53.787 2.095 4.871 48.808
8 .271 3.112 59.011 1.234 2.869 56.657 1.994 4.637 53.445
9 .249 2.858 61.869 1.127 2.620 59.277 1.876 4.363 57.808
10 .231 2.656 64.525 1.177 2.736 62.013 1.539 3.579 61.387
11 .221 2.541 67.066 1.079 2.510 64.523 1.348 3.136 64.523
12 .200 2.299 69.365            
13 .191 2.196 71.561            
14 .167 1.912 73.473            
15 .161 1.852 75.325            
16 .151 1.735 77.060            
17 .132 1.516 78.576            
18 .132 1.513 80.089            
19 .126 1.446 81.535            
20 .120 1.380 82.914            
21 .111 1.270 84.185            
22 .106 1.211 85.396            
23 .102 1.168 86.564            
24 .099 1.140 87.704            
25 .093 1.067 88.771            
26 .087 1.000 89.771            
27 .082 .945 90.716            
28 .077 .883 91.599            
29 .074 .853 92.453            
30 .065 .751 93.203            
31 .065 .748 93.952            
32 .061 .694 94.646            
33 .058 .660 95.307            
34 .056 .641 95.948            
35 .054 .620 96.568            
36 .049 .566 97.134            
37 .046 .530 97.664            
38 .044 .506 98.170            
39 .040 .464 98.634            
40 .034 .389 99.023            
41 .031 .352 99.375            
42 .029 .336 99.712            
43 .025 .288 100.000            
Extraction Method: Principal Component Analysis.
a. When analyzing a covariance matrix, the initial eigenvalues are the same across the raw and rescaled solution.
Factor Analysis
Factor Analysis - Scree Plot - January 31, 2020
Scree Plot Component Number: 43
Eigenvalue: 0.0251 Component Number: 42
Eigenvalue: 0.0293 Component Number: 41
Eigenvalue: 0.0307 Component Number: 40
Eigenvalue: 0.0339 Component Number: 39
Eigenvalue: 0.0404 Component Number: 38
Eigenvalue: 0.0441 Component Number: 37
Eigenvalue: 0.0462 Component Number: 36
Eigenvalue: 0.0493 Component Number: 35
Eigenvalue: 0.0540 Component Number: 34
Eigenvalue: 0.0559 Component Number: 33
Eigenvalue: 0.0575 Component Number: 32
Eigenvalue: 0.0605 Component Number: 31
Eigenvalue: 0.0652 Component Number: 30
Eigenvalue: 0.0654 Component Number: 29
Eigenvalue: 0.0743 Component Number: 28
Eigenvalue: 0.0770 Component Number: 27
Eigenvalue: 0.0823 Component Number: 26
Eigenvalue: 0.0871 Component Number: 25
Eigenvalue: 0.0930 Component Number: 24
Eigenvalue: 0.0994 Component Number: 23
Eigenvalue: 0.1018 Component Number: 22
Eigenvalue: 0.1055 Component Number: 21
Eigenvalue: 0.1107 Component Number: 20
Eigenvalue: 0.1202 Component Number: 19
Eigenvalue: 0.1260 Component Number: 18
Eigenvalue: 0.1318 Component Number: 17
Eigenvalue: 0.1321 Component Number: 16
Eigenvalue: 0.1512 Component Number: 15
Eigenvalue: 0.1614 Component Number: 14
Eigenvalue: 0.1666 Component Number: 13
Eigenvalue: 0.1914 Component Number: 12
Eigenvalue: 0.2003 Component Number: 11
Eigenvalue: 0.2214 Component Number: 10
Eigenvalue: 0.2314 Component Number: 9
Eigenvalue: 0.2490 Component Number: 8
Eigenvalue: 0.2711 Component Number: 7
Eigenvalue: 0.2910 Component Number: 6
Eigenvalue: 0.3600 Component Number: 5
Eigenvalue: 0.4269 Component Number: 4
Eigenvalue: 0.4917 Component Number: 3
Eigenvalue: 0.6951 Component Number: 2
Eigenvalue: 1.0672 Component Number: 1
Eigenvalue: 1.5391 Component Number: 42
Eigenvalue: 0.0293 Component Number: 41
Eigenvalue: 0.0307 Component Number: 40
Eigenvalue: 0.0339 Component Number: 39
Eigenvalue: 0.0404 Component Number: 38
Eigenvalue: 0.0441 Component Number: 37
Eigenvalue: 0.0462 Component Number: 36
Eigenvalue: 0.0493 Component Number: 35
Eigenvalue: 0.0540 Component Number: 34
Eigenvalue: 0.0559 Component Number: 33
Eigenvalue: 0.0575 Component Number: 32
Eigenvalue: 0.0605 Component Number: 31
Eigenvalue: 0.0652 Component Number: 30
Eigenvalue: 0.0654 Component Number: 29
Eigenvalue: 0.0743 Component Number: 28
Eigenvalue: 0.0770 Component Number: 27
Eigenvalue: 0.0823 Component Number: 26
Eigenvalue: 0.0871 Component Number: 25
Eigenvalue: 0.0930 Component Number: 24
Eigenvalue: 0.0994 Component Number: 23
Eigenvalue: 0.1018 Component Number: 22
Eigenvalue: 0.1055 Component Number: 21
Eigenvalue: 0.1107 Component Number: 20
Eigenvalue: 0.1202 Component Number: 19
Eigenvalue: 0.1260 Component Number: 18
Eigenvalue: 0.1318 Component Number: 17
Eigenvalue: 0.1321 Component Number: 16
Eigenvalue: 0.1512 Component Number: 15
Eigenvalue: 0.1614 Component Number: 14
Eigenvalue: 0.1666 Component Number: 13
Eigenvalue: 0.1914 Component Number: 12
Eigenvalue: 0.2003 Component Number: 11
Eigenvalue: 0.2214 Component Number: 10
Eigenvalue: 0.2314 Component Number: 9
Eigenvalue: 0.2490 Component Number: 8
Eigenvalue: 0.2711 Component Number: 7
Eigenvalue: 0.2910 Component Number: 6
Eigenvalue: 0.3600 Component Number: 5
Eigenvalue: 0.4269 Component Number: 4
Eigenvalue: 0.4917 Component Number: 3
Eigenvalue: 0.6951 Component Number: 2
Eigenvalue: 1.0672 Component Number: 1
Eigenvalue: 1.5391 0.0 0.5 1.0 1.5 2.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43

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Factor Analysis
Factor Analysis - Component Matrix - January 31, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 23 columns and 49 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 10 11 1 2 3 4 5 6 7 8 9 10 11
K1a Lending money to family members .062 .341 .022 -.118 -.054 .189 -.027 -.044 -.003 -.121 .017 .124 .686 .044 -.238 -.110 .380 -.055 -.089 -.006 -.244 .034
K1b Lending money to relatives .092 .358 .007 -.091 -.037 .192 -.043 -.010 -.004 -.049 -.069 .185 .715 .015 -.181 -.074 .382 -.086 -.020 -.009 -.098 -.138
K1c Lending money to people in your own village .131 .330 .049 -.074 .033 .135 .008 -.057 -.016 -.025 -.141 .268 .678 .102 -.151 .067 .277 .017 -.118 -.034 -.051 -.290
K1d Lending money to people outside the village .056 .157 .098 -.019 .019 .020 .002 -.102 -.005 .063 -.125 .157 .441 .275 -.054 .054 .056 .006 -.286 -.015 .176 -.350
K1e Lending money to people from the same mosque/ church .040 .153 .087 -.076 .004 .039 -.013 -.020 .051 .139 -.069 .112 .424 .241 -.210 .011 .108 -.036 -.055 .140 .385 -.192
K2a Lending tools like axes, hoes etc. to family members -.015 .257 .077 -.045 -.118 -.078 .004 -.066 -.031 -.167 .146 -.034 .569 .171 -.099 -.260 -.173 .010 -.145 -.068 -.369 .323
K2b Lending tools like axes, hoes etc. to relatives outside the household -.011 .205 .104 -.019 -.144 -.133 -.015 .056 -.069 -.100 .049 -.025 .487 .247 -.046 -.341 -.316 -.036 .132 -.164 -.237 .116
K2c Lending tools like axes, hoes etc. to people in your own village -.045 .219 .197 -.084 -.088 -.145 -.094 .071 -.066 -.038 -.021 -.095 .459 .412 -.177 -.185 -.304 -.197 .150 -.139 -.079 -.044
K2d Lending tools like axes, hoes etc. to people outside the village .007 .083 .195 -.151 -.034 -.174 -.127 -.027 .005 .111 -.012 .015 .193 .455 -.352 -.079 -.405 -.295 -.063 .012 .258 -.029
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.029 .076 .231 -.142 -.050 -.134 -.162 -.005 .000 .143 .065 -.065 .170 .518 -.319 -.113 -.301 -.365 -.011 .000 .322 .147
L1g Member of religious groups -.024 .123 .074 .167 -.164 -.063 .038 .286 -.019 -.057 -.179 -.047 .245 .148 .333 -.327 -.125 .077 .570 -.038 -.114 -.357
L2 Participated in cooperative agricultural work .134 .261 .064 .148 .254 -.104 .055 .058 .039 .033 .024 .273 .532 .131 .302 .518 -.212 .112 .117 .080 .067 .049
L3.a. Participated last 12 months in cooperative work of preparing a garden .115 .154 .042 .079 .158 -.063 .050 .002 .068 .064 -.068 .284 .380 .104 .195 .388 -.156 .124 .005 .167 .158 -.169
L3.b. Participated last12 months in cooperative work of planting .025 .047 .064 .070 .064 .001 -.005 .003 -.022 .036 -.017 .098 .186 .253 .277 .253 .005 -.021 .012 -.087 .144 -.067
L3.d. Participated last 12 months in cooperative work of weeding .083 .146 .091 .009 .156 -.080 .065 -.053 .018 .039 -.016 .221 .391 .244 .023 .417 -.215 .174 -.141 .049 .105 -.042
L3.e. Participated last 12 months in cooperative work of harvesting .084 .159 .036 .161 .153 -.057 .040 .060 -.045 -.008 -.051 .210 .398 .091 .403 .384 -.143 .100 .150 -.113 -.021 -.127
L3.f. Participated last 12 months in cooperative work of other agriculture work .123 .160 -.038 .123 .019 -.011 .021 .059 -.019 .016 .061 .346 .450 -.108 .346 .055 -.032 .058 .164 -.053 .046 .172
L6 Participation in other exchange work than agriculture .057 .284 .088 .065 -.014 .049 .083 .060 .151 .048 .207 .113 .567 .176 .130 -.028 .097 .166 .119 .302 .096 .413
L7 Participated in public works without payment during the last year -.162 -.211 .181 -.122 .029 .039 .050 -.003 .037 -.005 -.029 -.395 -.516 .441 -.299 .070 .095 .122 -.006 .091 -.012 -.070
L8.a. Participated in school project over the last 12 months -.083 -.095 .269 -.081 .185 .120 .011 .047 .015 -.141 -.020 -.166 -.190 .538 -.162 .369 .239 .022 .094 .030 -.282 -.040
L8.b. Participated in road project over the last 12 months -.138 -.122 .339 .008 -.114 .060 .101 -.047 .032 .007 -.018 -.276 -.244 .678 .017 -.227 .119 .203 -.094 .064 .013 -.037
L8.c. Participated in bridge project over the last 12 months -.084 -.066 .213 .003 .107 -.030 .105 -.086 .016 -.077 .128 -.188 -.147 .476 .006 .238 -.068 .234 -.192 .035 -.171 .286
L8.d. Participated in church project over the last 12 months -.053 -.103 .233 .050 .122 .078 -.074 .076 -.076 .022 .006 -.119 -.234 .527 .113 .275 .176 -.167 .172 -.173 .049 .013
L8.g. Participated in health centre project over the last 12 months -.084 -.029 .146 .053 .026 -.008 -.037 .021 .049 .011 .046 -.244 -.084 .426 .154 .077 -.024 -.108 .061 .142 .033 .133
L8.h. Participated in irrigation project over the last 12 months -.026 -.004 .104 .019 .084 .099 .008 -.049 -.002 -.025 .017 -.080 -.011 .321 .060 .260 .306 .024 -.153 -.006 -.078 .052
L8.i. Participated in borehole project over the last 12 months -.058 -.150 .188 .089 .070 .121 -.054 .147 -.094 .018 .046 -.129 -.333 .417 .199 .156 .268 -.120 .327 -.208 .040 .103
L8.k. Participated in graveyard clearing project over the last 12 months -.162 -.107 .210 .029 -.222 .076 .170 .058 .122 .048 -.059 -.329 -.216 .425 .058 -.451 .154 .343 .117 .246 .097 -.120
M1 Most people can be trusted (1) or you cannot be too careful (0) .233 .058 .063 .199 -.148 -.009 .099 -.110 .142 .071 -.007 .469 .116 .126 .401 -.297 -.019 .200 -.222 .286 .143 -.014
M2.d. Trust in Traditional Authorities .305 -.094 -.004 -.193 .048 -.002 -.016 .158 .114 -.007 .028 .618 -.190 -.009 -.391 .098 -.005 -.032 .321 .231 -.015 .056
M2.e. Trust in group village headmen .339 -.090 -.041 -.207 .063 .006 -.039 .113 .140 .001 .013 .680 -.180 -.081 -.416 .127 .013 -.077 .226 .280 .003 .025
M2.f. Trust in village headmen .350 -.055 -.062 -.175 -.001 .039 .000 .111 .075 .017 .001 .707 -.112 -.126 -.353 -.002 .079 .000 .225 .151 .035 .001
M2.j. Trust in police .303 -.074 .047 -.030 .057 -.100 .096 -.017 .076 -.185 -.016 .609 -.148 .095 -.061 .115 -.201 .194 -.034 .152 -.372 -.033
M2.l. Trust in teachers .278 -.102 .054 -.143 .006 -.058 .166 -.011 -.152 -.008 -.058 .563 -.207 .109 -.290 .012 -.118 .336 -.022 -.308 -.016 -.117
M2.m.Trust in school administrators .299 -.075 .054 -.080 .021 -.104 .161 -.022 -.207 .020 .006 .606 -.152 .109 -.163 .042 -.211 .326 -.045 -.419 .040 .011
M2.n. Trust in religious leaders .275 -.048 .012 -.077 -.129 -.066 .134 -.033 .006 .038 .006 .578 -.100 .026 -.162 -.271 -.138 .282 -.070 .014 .079 .013
M3.a. Trust in family members .170 .007 .014 .005 -.048 .118 .031 .023 -.122 .094 .070 .436 .019 .035 .012 -.123 .304 .079 .059 -.313 .242 .181
M3.b. Trust in relatives .288 .054 .031 .034 -.044 .185 .027 .038 -.119 .111 .123 .588 .111 .064 .069 -.090 .379 .055 .077 -.243 .226 .251
M3.c. Trust in people in own village .345 -.063 .053 .095 -.090 .067 -.041 .041 -.060 .005 .040 .702 -.128 .109 .193 -.184 .136 -.083 .084 -.123 .011 .082
M3.d. Trust in people outside the village .256 -.068 .003 .144 -.057 -.022 -.075 .000 -.028 -.036 .021 .616 -.163 .007 .347 -.138 -.052 -.179 -.001 -.067 -.087 .051
M3.e. Trust in people of same ethnic group .306 -.134 .074 .109 -.022 -.005 -.146 -.046 .058 -.053 .010 .648 -.284 .158 .230 -.047 -.010 -.310 -.097 .122 -.113 .021
M3.f. Trust in people outside ethnic group .242 -.113 .037 .147 -.071 -.002 -.099 -.007 .044 -.068 -.014 .587 -.275 .088 .357 -.172 -.004 -.239 -.017 .106 -.166 -.033
M3.g. Trust in people from same church/ mosque .322 -.084 .123 .045 .013 .050 -.090 -.140 -.008 .009 -.074 .643 -.168 .245 .089 .025 .100 -.180 -.279 -.017 .018 -.148
M3.h. Trust in people not from same church/ mosque .257 -.140 .137 .110 -.019 -.026 -.115 -.091 .009 -.054 -.047 .568 -.310 .304 .243 -.042 -.059 -.255 -.202 .020 -.120 -.104
Extraction Method: Principal Component Analysis.
a. 11 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - January 31, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 23 columns and 49 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 10 11 1 2 3 4 5 6 7 8 9 10 11
K1a Lending money to family members -.044 .016 -.022 .370 .035 -.014 -.052 .202 .071 -.034 -.015 -.088 .032 -.044 .744 .070 -.029 -.104 .407 .142 -.068 -.030
K1b Lending money to relatives -.033 .065 -.053 .397 .038 .006 -.054 .110 .083 -.037 .041 -.066 .130 -.106 .793 .076 .013 -.107 .220 .166 -.074 .082
K1c Lending money to people in your own village -.005 .142 -.033 .387 .020 .020 .037 .049 .030 -.019 .023 -.010 .292 -.067 .794 .042 .040 .075 .100 .061 -.039 .046
K1d Lending money to people outside the village .025 .105 -.005 .197 -.053 .096 .049 -.032 -.017 .043 -.014 .070 .296 -.015 .553 -.150 .269 .137 -.091 -.048 .122 -.039
K1e Lending money to people from the same mosque/ church -.037 .082 -.014 .168 .033 .142 -.015 -.050 .039 .070 -.009 -.103 .228 -.038 .466 .091 .393 -.040 -.139 .108 .195 -.025
K2a Lending tools like axes, hoes etc. to family members -.025 .020 -.043 .110 -.058 .070 .000 .353 -.011 .002 -.020 -.055 .044 -.096 .243 -.129 .154 .001 .782 -.024 .004 -.044
K2b Lending tools like axes, hoes etc. to relatives outside the household -.016 .026 -.041 .052 -.049 .130 .028 .265 -.003 .001 .130 -.039 .063 -.097 .124 -.115 .309 .067 .628 -.008 .002 .308
K2c Lending tools like axes, hoes etc. to people in your own village -.040 .044 .033 .097 -.037 .259 .013 .195 -.041 -.027 .146 -.084 .092 .069 .204 -.078 .544 .027 .409 -.085 -.057 .306
K2d Lending tools like axes, hoes etc. to people outside the village .004 .023 .018 .032 .024 .348 .032 .042 -.049 .009 -.009 .009 .054 .042 .075 .057 .809 .075 .097 -.113 .020 -.020
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.009 -.003 .063 .007 .013 .376 -.028 .062 .019 .015 -.023 -.020 -.007 .141 .015 .030 .845 -.063 .139 .043 .034 -.052
L1g Member of religious groups .009 .075 -.022 .015 -.039 -.004 -.030 .062 -.012 .083 .423 .017 .149 -.043 .030 -.078 -.007 -.059 .124 -.023 .167 .844
L2 Participated in cooperative agricultural work .006 .432 .003 .042 .036 .010 -.017 .067 .017 -.041 .006 .013 .882 .006 .085 .074 .021 -.034 .137 .034 -.083 .012
L3.a. Participated last 12 months in cooperative work of preparing a garden .026 .282 -.025 .068 .038 .022 .013 -.034 -.026 .022 -.001 .064 .695 -.062 .168 .092 .054 .031 -.083 -.064 .053 -.003
L3.b. Participated last12 months in cooperative work of planting .028 .107 .045 .018 -.037 .022 -.004 -.019 .027 -.004 .014 .110 .426 .180 .073 -.149 .087 -.015 -.077 .109 -.017 .055
L3.d. Participated last 12 months in cooperative work of weeding -.008 .239 .020 .066 .015 .063 .068 .025 -.030 .010 -.064 -.020 .639 .055 .177 .039 .169 .183 .067 -.081 .028 -.171
L3.e. Participated last 12 months in cooperative work of harvesting .031 .283 .011 .032 -.039 -.037 .020 .021 .012 -.055 .084 .078 .709 .029 .080 -.097 -.092 .050 .054 .031 -.138 .210
L3.f. Participated last 12 months in cooperative work of other agriculture work .045 .176 -.086 .027 .008 -.040 -.028 .082 .116 -.020 .046 .128 .494 -.242 .075 .022 -.113 -.078 .230 .326 -.056 .129
L6 Participation in other exchange work than agriculture -.053 .208 -.020 .086 .073 .021 -.150 .214 .150 .159 -.036 -.106 .416 -.040 .172 .145 .042 -.299 .427 .299 .317 -.073
L7 Participated in public works without payment during the last year -.081 -.146 .245 -.071 .016 .053 .043 -.080 -.100 .100 -.035 -.198 -.357 .598 -.174 .038 .128 .106 -.196 -.243 .244 -.086
L8.a. Participated in school project over the last 12 months -.029 -.002 .388 .042 .062 -.011 .018 .005 -.093 -.008 -.013 -.057 -.005 .775 .085 .124 -.022 .035 .011 -.186 -.016 -.026
L8.b. Participated in road project over the last 12 months .011 -.104 .272 -.014 -.108 .091 .043 .019 -.031 .266 .024 .023 -.209 .544 -.027 -.215 .182 .086 .038 -.062 .531 .047
L8.c. Participated in bridge project over the last 12 months -.025 .049 .232 -.086 -.046 .010 .053 .109 -.060 .085 -.134 -.056 .110 .518 -.193 -.102 .022 .119 .244 -.133 .190 -.300
L8.d. Participated in church project over the last 12 months .037 .028 .297 -.046 -.037 .068 -.022 -.066 .052 -.036 .043 .084 .064 .670 -.104 -.083 .153 -.050 -.149 .117 -.081 .097
L8.g. Participated in health centre project over the last 12 months .008 .025 .137 -.058 -.036 .067 -.082 .020 -.020 .055 .003 .022 .074 .400 -.170 -.106 .196 -.239 .059 -.058 .160 .010
L8.h. Participated in irrigation project over the last 12 months .009 .030 .148 .053 -.033 -.027 -.017 -.005 .009 .012 -.063 .027 .093 .459 .163 -.104 -.085 -.051 -.017 .029 .037 -.194
L8.i. Participated in borehole project over the last 12 months .032 -.020 .287 -.100 -.027 .002 -.045 -.062 .120 -.026 .093 .072 -.045 .638 -.222 -.061 .005 -.101 -.138 .267 -.057 .206
L8.k. Participated in graveyard clearing project over the last 12 months -.056 -.141 .136 -.029 -.055 .018 -.018 -.016 -.017 .357 .128 -.114 -.285 .276 -.059 -.111 .037 -.036 -.032 -.035 .724 .259
M1 Most people can be trusted (1) or you cannot be too careful (0) .246 .129 -.130 .043 -.016 -.026 .012 .027 .069 .261 -.017 .494 .260 -.261 .087 -.032 -.053 .024 .054 .139 .524 -.034
M2.d. Trust in Traditional Authorities .107 -.001 -.006 -.006 .397 .028 .083 -.028 .046 -.026 .001 .217 -.003 -.011 -.012 .805 .057 .167 -.056 .093 -.052 .002
M2.e. Trust in group village headmen .133 .001 -.043 .025 .414 .024 .076 -.055 .031 -.039 -.044 .267 .001 -.086 .049 .830 .047 .153 -.111 .062 -.079 -.089
M2.f. Trust in village headmen .130 -.012 -.082 .056 .359 -.005 .109 -.045 .097 -.022 -.004 .263 -.025 -.166 .114 .725 -.010 .221 -.091 .195 -.044 -.008
M2.j. Trust in police .215 .088 .007 -.015 .213 -.085 .193 .091 -.102 .021 -.030 .431 .176 .014 -.029 .428 -.171 .387 .184 -.204 .041 -.060
M2.l. Trust in teachers .091 .004 .003 .010 .139 .004 .369 -.021 .064 .001 -.005 .185 .009 .006 .019 .281 .009 .748 -.044 .129 .003 -.011
M2.m.Trust in school administrators .112 .066 -.018 -.040 .090 .022 .378 .014 .119 -.027 -.022 .226 .133 -.037 -.082 .181 .044 .765 .029 .242 -.054 -.044
M2.n. Trust in religious leaders .135 -.012 -.121 .002 .144 .024 .218 .029 .076 .129 -.022 .283 -.026 -.254 .004 .302 .050 .459 .062 .160 .270 -.046
M3.a. Trust in family members .068 .000 -.005 .047 .032 -.010 .083 -.015 .245 .002 -.007 .174 -.001 -.014 .122 .082 -.026 .214 -.038 .631 .004 -.017
M3.b. Trust in relatives .136 .052 -.004 .096 .084 -.030 .073 .011 .351 .009 -.022 .278 .106 -.009 .196 .171 -.061 .150 .022 .718 .018 -.045
M3.c. Trust in people in own village .302 .018 -.015 .011 .105 -.025 .087 .011 .205 .008 .051 .615 .036 -.031 .023 .213 -.051 .177 .023 .418 .016 .104
M3.d. Trust in people outside the village .287 .037 -.052 -.047 .038 -.035 .037 .017 .087 -.028 .037 .691 .089 -.126 -.113 .091 -.083 .090 .041 .209 -.067 .089
M3.e. Trust in people of same ethnic group .380 .016 .017 -.031 .106 .008 .008 -.017 .030 -.016 -.027 .805 .034 .035 -.065 .224 .016 .017 -.035 .064 -.033 -.056
M3.f. Trust in people outside ethnic group .327 .001 -.014 -.040 .058 -.041 -.003 -.003 .027 .012 .043 .792 .002 -.034 -.097 .141 -.099 -.006 -.006 .065 .028 .104
M3.g. Trust in people from same church/ mosque .344 .040 .041 .097 .058 .041 .112 -.084 .047 .003 -.077 .687 .080 .082 .194 .115 .081 .224 -.167 .094 .006 -.153
M3.h. Trust in people not from same church/ mosque .363 .016 .062 -.016 .027 .036 .068 -.031 -.011 .004 -.017 .804 .036 .137 -.034 .061 .080 .151 -.069 -.025 .009 -.038
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 12 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - January 31, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 12 columns and 14 rows
Component 1 2 3 4 5 6 7 8 9 10 11
1 .647 .245 -.210 .158 .487 -.036 .355 .007 .291 -.038 -.045
2 -.264 .476 -.277 .598 -.117 .160 -.178 .421 .094 -.048 .104
3 .205 .134 .725 .101 -.077 .469 .119 .181 -.005 .350 .091
4 .416 .415 -.018 -.276 -.520 -.352 -.308 -.038 .119 .138 .231
5 -.186 .597 .384 -.060 .161 -.149 .005 -.279 -.174 -.438 -.331
6 -.017 -.269 .351 .526 .034 -.441 -.266 -.227 .444 .071 -.089
7 -.386 .209 -.010 -.077 .019 -.436 .537 .082 .044 .559 -.022
8 -.245 .083 .140 -.246 .466 -.031 -.167 .018 .228 -.104 .737
9 .078 .104 -.100 .014 .458 -.041 -.540 -.045 -.412 .519 -.174
10 -.198 .181 -.218 -.108 -.066 .468 -.068 -.587 .465 .254 -.128
11 -.084 -.023 .070 -.417 .117 .003 -.225 .554 .474 -.027 -.466
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - January 31, 2020
Component Plot of Factors 1, 2, 3 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 Component 1: 0.0836
Component 2: 0.0638
Component 3: 0.6704 Component 1: -0.0574
Component 2: -0.0048
Component 3: 0.7751 Component 1: 0.8040
Component 2: 0.0364
Component 3: 0.1368 Component 1: 0.0721
Component 2: -0.0452
Component 3: 0.6383 Component 1: 0.8046
Component 2: 0.0337
Component 3: 0.0352 Component 1: 0.6872
Component 2: 0.0796
Component 3: 0.0825 Component 1: 0.7916
Component 2: 0.0016
Component 3: -0.0337 Component 1: 0.0226
Component 2: -0.2085
Component 3: 0.5444 Component 1: -0.0564
Component 2: 0.1100
Component 3: 0.5178 Component 1: 0.0269
Component 2: 0.0925
Component 3: 0.4587 Component 1: 0.0221
Component 2: 0.0735
Component 3: 0.3999 Component 1: 0.6154
Component 2: 0.0364
Component 3: -0.0310 Component 1: -0.1978
Component 2: -0.3568
Component 3: 0.5982 Component 1: 0.6914
Component 2: 0.0889
Component 3: -0.1259 Component 1: 0.4308
Component 2: 0.1761
Component 3: 0.0138 Component 1: 0.1099
Component 2: 0.4259
Component 3: 0.1799 Component 1: 0.0785
Component 2: 0.7088
Component 3: 0.0288 Component 1: 0.2783
Component 2: 0.1063
Component 3: -0.0086 Component 1: 0.0132
Component 2: 0.8820
Component 3: 0.0058 Component 1: -0.0204
Component 2: 0.6394
Component 3: 0.0548 Component 1: 0.2261
Component 2: 0.1330
Component 3: -0.0371 Component 1: 0.4938
Component 2: 0.2602
Component 3: -0.2610 Component 1: 0.2173
Component 2: -0.0026
Component 3: -0.0113 Component 1: 0.1850
Component 2: 0.0089
Component 3: 0.0060 Component 1: -0.1140
Component 2: -0.2848
Component 3: 0.2763 Component 1: 0.0637
Component 2: 0.6948
Component 3: -0.0619 Component 1: -0.0195
Component 2: -0.0071
Component 3: 0.1411 Component 1: 0.1745
Component 2: -0.0011
Component 3: -0.0140 Component 1: 0.2670
Component 2: 0.0014
Component 3: -0.0857 Component 1: 0.0699
Component 2: 0.2957
Component 3: -0.0153 Component 1: 0.0090
Component 2: 0.0541
Component 3: 0.0417 Component 1: -0.0841
Component 2: 0.0920
Component 3: 0.0685 Component 1: 0.2627
Component 2: -0.0252
Component 3: -0.1658 Component 1: 0.0175
Component 2: 0.1491
Component 3: -0.0430 Component 1: -0.0100
Component 2: 0.2923
Component 3: -0.0672 Component 1: -0.1060
Component 2: 0.4160
Component 3: -0.0397 Component 1: 0.1275
Component 2: 0.4937
Component 3: -0.2421 Component 1: -0.1027
Component 2: 0.2281
Component 3: -0.0383 Component 1: 0.2833
Component 2: -0.0260
Component 3: -0.2543 Component 1: -0.0883
Component 2: 0.0320
Component 3: -0.0440 Component 1: -0.0387
Component 2: 0.0627
Component 3: -0.0965 Component 1: -0.0659
Component 2: 0.1302
Component 3: -0.1060 Component 1: -0.0547
Component 2: 0.0443
Component 3: -0.0960