IBM SPSS Web Report - 43 binary variables 222 cases varimax rotated 9 factors.spv   


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Log
Log - Log - February 10, 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 FACTORS(9) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - February 10, 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 - February 10, 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 .176 1.000 .712
K1b Lending money to relatives .251 .185 1.000 .739
K1c Lending money to people in your own village .237 .157 1.000 .660
K1d Lending money to people outside the village .127 .049 1.000 .386
K1e Lending money to people from the same mosque/ church .130 .043 1.000 .330
K2a Lending tools like axes, hoes etc. to family members .204 .099 1.000 .487
K2b Lending tools like axes, hoes etc. to relatives outside the household .178 .100 1.000 .563
K2c Lending tools like axes, hoes etc. to people in your own village .228 .143 1.000 .628
K2d Lending tools like axes, hoes etc. to people outside the village .185 .116 1.000 .630
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .198 .127 1.000 .640
L1g Member of religious groups .251 .163 1.000 .650
L2 Participated in cooperative agricultural work .240 .195 1.000 .813
L3.a. Participated last 12 months in cooperative work of preparing a garden .165 .081 1.000 .492
L3.b. Participated last12 months in cooperative work of planting .063 .016 1.000 .257
L3.d. Participated last 12 months in cooperative work of weeding .140 .075 1.000 .535
L3.e. Participated last 12 months in cooperative work of harvesting .160 .094 1.000 .586
L3.f. Participated last 12 months in cooperative work of other agriculture work .127 .062 1.000 .491
L6 Participation in other exchange work than agriculture .251 .132 1.000 .526
L7 Participated in public works without payment during the last year .168 .125 1.000 .743
L8.a. Participated in school project over the last 12 months .251 .146 1.000 .583
L8.b. Participated in road project over the last 12 months .250 .179 1.000 .716
L8.c. Participated in bridge project over the last 12 months .200 .088 1.000 .438
L8.d. Participated in church project over the last 12 months .196 .108 1.000 .553
L8.g. Participated in health centre project over the last 12 months .117 .037 1.000 .315
L8.h. Participated in irrigation project over the last 12 months .104 .031 1.000 .298
L8.i. Participated in borehole project over the last 12 months .202 .122 1.000 .602
L8.k. Participated in graveyard clearing project over the last 12 months .244 .185 1.000 .758
M1 Most people can be trusted (1) or you cannot be too careful (0) .248 .166 1.000 .669
M2.d. Trust in Traditional Authorities .243 .179 1.000 .739
M2.e. Trust in group village headmen .249 .205 1.000 .826
M2.f. Trust in village headmen .245 .179 1.000 .732
M2.j. Trust in police .248 .129 1.000 .520
M2.l. Trust in teachers .244 .165 1.000 .679
M2.m.Trust in school administrators .244 .185 1.000 .759
M2.n. Trust in religious leaders .226 .124 1.000 .548
M3.a. Trust in family members .151 .062 1.000 .407
M3.b. Trust in relatives .239 .141 1.000 .587
M3.c. Trust in people in own village .241 .154 1.000 .640
M3.d. Trust in people outside the village .173 .101 1.000 .586
M3.e. Trust in people of same ethnic group .223 .157 1.000 .701
M3.f. Trust in people outside ethnic group .170 .111 1.000 .654
M3.g. Trust in people from same church/ mosque .251 .159 1.000 .631
M3.h. Trust in people not from same church/ mosque .204 .139 1.000 .682
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 10, 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 .969 11.124 11.124
2 1.067 12.247 29.910 1.067 12.247 29.910 .756 8.678 19.802
3 .695 7.977 37.887 .695 7.977 37.887 .629 7.222 27.024
4 .492 5.643 43.530 .492 5.643 43.530 .640 7.341 34.365
5 .427 4.899 48.428 .427 4.899 48.428 .642 7.367 41.733
6 .360 4.131 52.560 .360 4.131 52.560 .512 5.876 47.608
7 .291 3.339 55.899 .291 3.339 55.899 .522 5.996 53.605
8 .271 3.112 59.011 .271 3.112 59.011 .377 4.325 57.929
9 .249 2.858 61.869 .249 2.858 61.869 .343 3.939 61.869
10 .231 2.656 64.525            
11 .221 2.541 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 4.543 10.565 10.565
2 1.067 12.247 29.910 5.142 11.959 28.078 3.472 8.075 18.639
3 .695 7.977 37.887 3.467 8.062 36.140 3.411 7.932 26.571
4 .492 5.643 43.530 2.406 5.594 41.734 3.215 7.477 34.048
5 .427 4.899 48.428 2.116 4.920 46.655 2.709 6.300 40.348
6 .360 4.131 52.560 1.723 4.006 50.661 2.617 6.087 46.435
7 .291 3.339 55.899 1.344 3.126 53.787 2.278 5.297 51.732
8 .271 3.112 59.011 1.234 2.869 56.657 1.634 3.799 55.532
9 .249 2.858 61.869 1.127 2.620 59.277 1.610 3.745 59.277
10 .231 2.656 64.525            
11 .221 2.541 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            
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 - February 10, 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 - February 10, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 19 columns and 49 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9
K1a Lending money to family members .062 .341 .022 -.118 -.054 .189 -.027 -.044 -.003 .124 .686 .044 -.238 -.110 .380 -.055 -.089 -.006
K1b Lending money to relatives .092 .358 .007 -.091 -.037 .192 -.043 -.010 -.004 .185 .715 .015 -.181 -.074 .382 -.086 -.020 -.009
K1c Lending money to people in your own village .131 .330 .049 -.074 .033 .135 .008 -.057 -.016 .268 .678 .102 -.151 .067 .277 .017 -.118 -.034
K1d Lending money to people outside the village .056 .157 .098 -.019 .019 .020 .002 -.102 -.005 .157 .441 .275 -.054 .054 .056 .006 -.286 -.015
K1e Lending money to people from the same mosque/ church .040 .153 .087 -.076 .004 .039 -.013 -.020 .051 .112 .424 .241 -.210 .011 .108 -.036 -.055 .140
K2a Lending tools like axes, hoes etc. to family members -.015 .257 .077 -.045 -.118 -.078 .004 -.066 -.031 -.034 .569 .171 -.099 -.260 -.173 .010 -.145 -.068
K2b Lending tools like axes, hoes etc. to relatives outside the household -.011 .205 .104 -.019 -.144 -.133 -.015 .056 -.069 -.025 .487 .247 -.046 -.341 -.316 -.036 .132 -.164
K2c Lending tools like axes, hoes etc. to people in your own village -.045 .219 .197 -.084 -.088 -.145 -.094 .071 -.066 -.095 .459 .412 -.177 -.185 -.304 -.197 .150 -.139
K2d Lending tools like axes, hoes etc. to people outside the village .007 .083 .195 -.151 -.034 -.174 -.127 -.027 .005 .015 .193 .455 -.352 -.079 -.405 -.295 -.063 .012
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.029 .076 .231 -.142 -.050 -.134 -.162 -.005 .000 -.065 .170 .518 -.319 -.113 -.301 -.365 -.011 .000
L1g Member of religious groups -.024 .123 .074 .167 -.164 -.063 .038 .286 -.019 -.047 .245 .148 .333 -.327 -.125 .077 .570 -.038
L2 Participated in cooperative agricultural work .134 .261 .064 .148 .254 -.104 .055 .058 .039 .273 .532 .131 .302 .518 -.212 .112 .117 .080
L3.a. Participated last 12 months in cooperative work of preparing a garden .115 .154 .042 .079 .158 -.063 .050 .002 .068 .284 .380 .104 .195 .388 -.156 .124 .005 .167
L3.b. Participated last12 months in cooperative work of planting .025 .047 .064 .070 .064 .001 -.005 .003 -.022 .098 .186 .253 .277 .253 .005 -.021 .012 -.087
L3.d. Participated last 12 months in cooperative work of weeding .083 .146 .091 .009 .156 -.080 .065 -.053 .018 .221 .391 .244 .023 .417 -.215 .174 -.141 .049
L3.e. Participated last 12 months in cooperative work of harvesting .084 .159 .036 .161 .153 -.057 .040 .060 -.045 .210 .398 .091 .403 .384 -.143 .100 .150 -.113
L3.f. Participated last 12 months in cooperative work of other agriculture work .123 .160 -.038 .123 .019 -.011 .021 .059 -.019 .346 .450 -.108 .346 .055 -.032 .058 .164 -.053
L6 Participation in other exchange work than agriculture .057 .284 .088 .065 -.014 .049 .083 .060 .151 .113 .567 .176 .130 -.028 .097 .166 .119 .302
L7 Participated in public works without payment during the last year -.162 -.211 .181 -.122 .029 .039 .050 -.003 .037 -.395 -.516 .441 -.299 .070 .095 .122 -.006 .091
L8.a. Participated in school project over the last 12 months -.083 -.095 .269 -.081 .185 .120 .011 .047 .015 -.166 -.190 .538 -.162 .369 .239 .022 .094 .030
L8.b. Participated in road project over the last 12 months -.138 -.122 .339 .008 -.114 .060 .101 -.047 .032 -.276 -.244 .678 .017 -.227 .119 .203 -.094 .064
L8.c. Participated in bridge project over the last 12 months -.084 -.066 .213 .003 .107 -.030 .105 -.086 .016 -.188 -.147 .476 .006 .238 -.068 .234 -.192 .035
L8.d. Participated in church project over the last 12 months -.053 -.103 .233 .050 .122 .078 -.074 .076 -.076 -.119 -.234 .527 .113 .275 .176 -.167 .172 -.173
L8.g. Participated in health centre project over the last 12 months -.084 -.029 .146 .053 .026 -.008 -.037 .021 .049 -.244 -.084 .426 .154 .077 -.024 -.108 .061 .142
L8.h. Participated in irrigation project over the last 12 months -.026 -.004 .104 .019 .084 .099 .008 -.049 -.002 -.080 -.011 .321 .060 .260 .306 .024 -.153 -.006
L8.i. Participated in borehole project over the last 12 months -.058 -.150 .188 .089 .070 .121 -.054 .147 -.094 -.129 -.333 .417 .199 .156 .268 -.120 .327 -.208
L8.k. Participated in graveyard clearing project over the last 12 months -.162 -.107 .210 .029 -.222 .076 .170 .058 .122 -.329 -.216 .425 .058 -.451 .154 .343 .117 .246
M1 Most people can be trusted (1) or you cannot be too careful (0) .233 .058 .063 .199 -.148 -.009 .099 -.110 .142 .469 .116 .126 .401 -.297 -.019 .200 -.222 .286
M2.d. Trust in Traditional Authorities .305 -.094 -.004 -.193 .048 -.002 -.016 .158 .114 .618 -.190 -.009 -.391 .098 -.005 -.032 .321 .231
M2.e. Trust in group village headmen .339 -.090 -.041 -.207 .063 .006 -.039 .113 .140 .680 -.180 -.081 -.416 .127 .013 -.077 .226 .280
M2.f. Trust in village headmen .350 -.055 -.062 -.175 -.001 .039 .000 .111 .075 .707 -.112 -.126 -.353 -.002 .079 .000 .225 .151
M2.j. Trust in police .303 -.074 .047 -.030 .057 -.100 .096 -.017 .076 .609 -.148 .095 -.061 .115 -.201 .194 -.034 .152
M2.l. Trust in teachers .278 -.102 .054 -.143 .006 -.058 .166 -.011 -.152 .563 -.207 .109 -.290 .012 -.118 .336 -.022 -.308
M2.m.Trust in school administrators .299 -.075 .054 -.080 .021 -.104 .161 -.022 -.207 .606 -.152 .109 -.163 .042 -.211 .326 -.045 -.419
M2.n. Trust in religious leaders .275 -.048 .012 -.077 -.129 -.066 .134 -.033 .006 .578 -.100 .026 -.162 -.271 -.138 .282 -.070 .014
M3.a. Trust in family members .170 .007 .014 .005 -.048 .118 .031 .023 -.122 .436 .019 .035 .012 -.123 .304 .079 .059 -.313
M3.b. Trust in relatives .288 .054 .031 .034 -.044 .185 .027 .038 -.119 .588 .111 .064 .069 -.090 .379 .055 .077 -.243
M3.c. Trust in people in own village .345 -.063 .053 .095 -.090 .067 -.041 .041 -.060 .702 -.128 .109 .193 -.184 .136 -.083 .084 -.123
M3.d. Trust in people outside the village .256 -.068 .003 .144 -.057 -.022 -.075 .000 -.028 .616 -.163 .007 .347 -.138 -.052 -.179 -.001 -.067
M3.e. Trust in people of same ethnic group .306 -.134 .074 .109 -.022 -.005 -.146 -.046 .058 .648 -.284 .158 .230 -.047 -.010 -.310 -.097 .122
M3.f. Trust in people outside ethnic group .242 -.113 .037 .147 -.071 -.002 -.099 -.007 .044 .587 -.275 .088 .357 -.172 -.004 -.239 -.017 .106
M3.g. Trust in people from same church/ mosque .322 -.084 .123 .045 .013 .050 -.090 -.140 -.008 .643 -.168 .245 .089 .025 .100 -.180 -.279 -.017
M3.h. Trust in people not from same church/ mosque .257 -.140 .137 .110 -.019 -.026 -.115 -.091 .009 .568 -.310 .304 .243 -.042 -.059 -.255 -.202 .020
Extraction Method: Principal Component Analysis.
a. 9 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 10, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 19 columns and 49 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9
K1a Lending money to family members -.045 .408 .026 -.052 .004 .053 -.010 -.025 .013 -.091 .822 .051 -.104 .008 .106 -.019 -.051 .026
K1b Lending money to relatives -.025 .413 .059 -.057 .021 .039 -.019 -.054 .045 -.049 .825 .117 -.114 .041 .078 -.037 -.107 .090
K1c Lending money to people in your own village -.006 .364 .135 -.033 .016 .045 .042 -.030 -.018 -.011 .746 .277 -.068 .033 .092 .085 -.063 -.037
K1d Lending money to people outside the village .028 .161 .090 .008 -.040 .081 .027 .028 -.066 .079 .451 .253 .022 -.113 .228 .075 .079 -.186
K1e Lending money to people from the same mosque/ church -.013 .168 .052 .015 .044 .087 -.016 .034 -.023 -.037 .467 .145 .040 .123 .242 -.045 .093 -.063
K2a Lending tools like axes, hoes etc. to family members -.045 .172 .055 -.105 -.097 .200 .022 .055 .028 -.099 .381 .121 -.233 -.215 .443 .048 .121 .063
K2b Lending tools like axes, hoes etc. to relatives outside the household -.029 .087 .046 -.073 -.070 .237 .040 .034 .142 -.070 .206 .110 -.174 -.166 .563 .094 .080 .337
K2c Lending tools like axes, hoes etc. to people in your own village -.053 .102 .051 .021 -.041 .336 .003 -.004 .111 -.111 .213 .106 .043 -.085 .704 .005 -.008 .234
K2d Lending tools like axes, hoes etc. to people outside the village .008 .023 .009 .034 .042 .332 .001 .005 -.052 .019 .054 .021 .078 .098 .772 .002 .012 -.120
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .012 .038 -.025 .085 .024 .339 -.033 .002 -.024 .027 .086 -.056 .190 .054 .763 -.074 .004 -.053
L1g Member of religious groups .000 -.009 .074 -.014 -.037 .072 -.031 .080 .379 .000 -.018 .148 -.028 -.074 .143 -.062 .159 .756
L2 Participated in cooperative agricultural work .009 .074 .431 .002 .028 .026 -.010 -.036 .031 .019 .151 .880 .005 .057 .053 -.020 -.073 .062
L3.a. Participated last 12 months in cooperative work of preparing a garden .027 .055 .273 -.014 .046 .009 -.006 .013 -.021 .067 .136 .671 -.036 .113 .021 -.014 .032 -.052
L3.b. Participated last12 months in cooperative work of planting .035 .021 .099 .056 -.035 .008 .001 -.012 .013 .138 .084 .395 .223 -.137 .032 .002 -.049 .051
L3.d. Participated last 12 months in cooperative work of weeding -.011 .062 .237 .017 .017 .067 .051 .019 -.079 -.030 .167 .636 .045 .046 .179 .135 .052 -.212
L3.e. Participated last 12 months in cooperative work of harvesting .028 .029 .285 .015 -.041 -.011 .022 -.052 .076 .069 .073 .712 .038 -.103 -.028 .056 -.130 .190
L3.f. Participated last 12 months in cooperative work of other agriculture work .065 .084 .172 -.083 -.010 -.030 .016 -.035 .111 .182 .235 .482 -.234 -.028 -.084 .044 -.099 .310
L6 Participation in other exchange work than agriculture -.017 .224 .198 -.037 .034 .029 -.080 .146 .104 -.033 .447 .396 -.074 .068 .058 -.161 .292 .207
L7 Participated in public works without payment during the last year -.097 -.110 -.144 .239 .032 .034 .006 .123 -.089 -.236 -.270 -.352 .583 .079 .084 .014 .301 -.217
L8.a. Participated in school project over the last 12 months -.063 .009 .018 .361 .064 .025 -.003 .044 -.070 -.127 .019 .037 .720 .128 .050 -.007 .089 -.140
L8.b. Participated in road project over the last 12 months .010 -.018 -.108 .259 -.101 .094 .026 .283 -.003 .019 -.036 -.217 .518 -.203 .188 .052 .565 -.006
L8.c. Participated in bridge project over the last 12 months -.045 -.061 .072 .190 -.058 .049 .043 .139 -.118 -.100 -.136 .161 .424 -.129 .110 .096 .310 -.264
L8.d. Participated in church project over the last 12 months .044 -.043 .019 .316 -.029 .034 -.009 -.036 .031 .100 -.097 .042 .714 -.065 .076 -.020 -.082 .070
L8.g. Participated in health centre project over the last 12 months .008 -.041 .023 .136 -.035 .062 -.084 .063 .012 .024 -.120 .069 .396 -.103 .180 -.246 .184 .034
L8.h. Participated in irrigation project over the last 12 months .007 .057 .031 .141 -.036 -.033 -.011 .021 -.061 .021 .176 .097 .439 -.113 -.103 -.034 .065 -.190
L8.i. Participated in borehole project over the last 12 months .051 -.069 -.032 .310 -.027 -.036 -.004 -.035 .119 .113 -.152 -.071 .689 -.061 -.081 -.009 -.079 .264
L8.k. Participated in graveyard clearing project over the last 12 months -.046 -.026 -.156 .134 -.049 .009 -.028 .350 .120 -.093 -.053 -.315 .271 -.099 .018 -.057 .708 .244
M1 Most people can be trusted (1) or you cannot be too careful (0) .269 .075 .116 -.130 -.021 -.041 .022 .234 .022 .540 .150 .233 -.261 -.042 -.083 .044 .470 .045
M2.d. Trust in Traditional Authorities .110 .006 -.001 -.002 .397 .007 .095 -.029 .007 .223 .012 -.002 -.005 .805 .015 .192 -.059 .015
M2.e. Trust in group village headmen .135 .026 .000 -.037 .417 -.008 .081 -.047 -.046 .270 .051 -.001 -.074 .837 -.016 .162 -.094 -.092
M2.f. Trust in village headmen .143 .069 -.019 -.071 .357 -.036 .133 -.042 .010 .289 .139 -.039 -.143 .723 -.074 .269 -.086 .019
M2.j. Trust in police .170 -.050 .128 -.043 .206 .003 .160 .079 -.073 .341 -.100 .257 -.086 .413 .006 .322 .158 -.147
M2.l. Trust in teachers .088 -.019 .010 -.001 .143 .015 .367 .011 -.043 .178 -.039 .021 -.002 .290 .031 .743 .023 -.088
M2.m.Trust in school administrators .119 -.039 .070 -.019 .087 .030 .393 -.021 -.025 .241 -.079 .141 -.039 .177 .060 .796 -.042 -.051
M2.n. Trust in religious leaders .147 .016 -.015 -.126 .140 .022 .226 .120 -.008 .309 .034 -.032 -.266 .295 .047 .476 .252 -.016
M3.a. Trust in family members .114 .113 -.024 .021 .019 -.065 .155 -.042 .068 .293 .290 -.061 .054 .050 -.168 .397 -.107 .175
M3.b. Trust in relatives .200 .202 .022 .027 .060 -.100 .181 -.050 .098 .410 .413 .044 .055 .122 -.204 .369 -.102 .201
M3.c. Trust in people in own village .330 .056 .009 -.001 .093 -.044 .145 -.020 .101 .672 .115 .019 -.001 .190 -.089 .295 -.040 .206
M3.d. Trust in people outside the village .293 -.032 .041 -.049 .032 -.026 .061 -.036 .058 .705 -.078 .100 -.118 .078 -.064 .147 -.085 .140
M3.e. Trust in people of same ethnic group .376 -.037 .023 .017 .109 .004 .011 -.015 -.033 .795 -.078 .049 .036 .230 .009 .024 -.032 -.069
M3.f. Trust in people outside ethnic group .321 -.047 .009 -.016 .058 -.027 .003 .012 .039 .778 -.114 .022 -.039 .141 -.065 .007 .029 .094
M3.g. Trust in people from same church/ mosque .347 .062 .034 .055 .071 .008 .105 -.010 -.118 .692 .124 .067 .109 .141 .017 .210 -.020 -.236
M3.h. Trust in people not from same church/ mosque .350 -.051 .025 .061 .038 .042 .051 .013 -.061 .775 -.114 .054 .135 .084 .093 .112 .028 -.135
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 11 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - February 10, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 10 columns and 12 rows
Component 1 2 3 4 5 6 7 8 9
1 .676 .194 .240 -.197 .474 -.057 .419 -.075 -.004
2 -.244 .695 .467 -.298 -.164 .274 -.123 -.063 .173
3 .199 .119 .128 .705 -.068 .506 .100 .401 .022
4 .440 -.226 .408 .004 -.533 -.345 -.261 .104 .326
5 -.228 -.132 .611 .396 .186 -.223 -.051 -.391 -.401
6 .061 .611 -.320 .393 .002 -.594 -.103 -.027 .037
7 -.384 -.037 .225 -.081 -.013 -.371 .543 .600 .041
8 -.212 -.150 .063 .191 .450 -.014 -.063 -.141 .816
9 .043 .000 .107 -.143 .472 -.070 -.648 .534 -.183
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - February 10, 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: 0.0189
Component 2: 0.1506
Component 3: 0.8796 Component 1: 0.0689
Component 2: 0.0727
Component 3: 0.7125 Component 1: 0.0671
Component 2: 0.1356
Component 3: 0.6712 Component 1: 0.1818
Component 2: 0.2349
Component 3: 0.4818 Component 1: -0.0299
Component 2: 0.1670
Component 3: 0.6356 Component 1: 0.5395
Component 2: 0.1501
Component 3: 0.2325 Component 1: 0.7950
Component 2: -0.0781
Component 3: 0.0487 Component 1: 0.6921
Component 2: 0.1235
Component 3: 0.0671 Component 1: 0.7052
Component 2: -0.0781
Component 3: 0.0996 Component 1: 0.7753
Component 2: -0.1138
Component 3: 0.0545 Component 1: 0.7779
Component 2: -0.1144
Component 3: 0.0220 Component 1: 0.6718
Component 2: 0.1145
Component 3: 0.0192 Component 1: 0.1377
Component 2: 0.0845
Component 3: 0.3951 Component 1: 0.3410
Component 2: -0.0995
Component 3: 0.2569 Component 1: -0.0333
Component 2: 0.4469
Component 3: 0.3963 Component 1: -0.0113
Component 2: 0.7462
Component 3: 0.2771 Component 1: 0.4096
Component 2: 0.4132
Component 3: 0.0443 Component 1: 0.0787
Component 2: 0.4513
Component 3: 0.2534 Component 1: 0.2410
Component 2: -0.0786
Component 3: 0.1410 Component 1: -0.0495
Component 2: 0.8250
Component 3: 0.1170 Component 1: -0.0365
Component 2: 0.4666
Component 3: 0.1452 Component 1: 0.2928
Component 2: 0.2898
Component 3: -0.0614 Component 1: 0.2701
Component 2: 0.0514
Component 3: -0.0007 Component 1: 0.2891
Component 2: 0.1390
Component 3: -0.0388 Component 1: 0.3093
Component 2: 0.0336
Component 3: -0.0317 Component 1: -0.0912
Component 2: 0.8217
Component 3: 0.0513 Component 1: 0.2225
Component 2: 0.0123
Component 3: -0.0019 Component 1: 0.0211
Component 2: 0.1758
Component 3: 0.0972 Component 1: -0.0003
Component 2: -0.0183
Component 3: 0.1476 Component 1: 0.1780
Component 2: -0.0390
Component 3: 0.0206 Component 1: -0.0990
Component 2: 0.3809
Component 3: 0.1211 Component 1: -0.0700
Component 2: 0.2065
Component 3: 0.1101 Component 1: 0.0997
Component 2: -0.0966
Component 3: 0.0419 Component 1: -0.1107
Component 2: 0.2131
Component 3: 0.1065 Component 1: -0.0996
Component 2: -0.1360
Component 3: 0.1612 Component 1: 0.0238
Component 2: -0.1198
Component 3: 0.0685 Component 1: 0.0192
Component 2: 0.0543
Component 3: 0.0206 Component 1: 0.0270
Component 2: 0.0856
Component 3: -0.0560 Component 1: 0.1131
Component 2: -0.1524
Component 3: -0.0712 Component 1: -0.1267
Component 2: 0.0187
Component 3: 0.0369 Component 1: 0.0194
Component 2: -0.0362
Component 3: -0.2167 Component 1: -0.0933
Component 2: -0.0529
Component 3: -0.3150 Component 1: -0.2364
Component 2: -0.2696
Component 3: -0.3520