IBM SPSS Web Report - Region 3 - 42 binary variables 83 cases varimax rotated 9-8-7-6 factors.spv   


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Log
Log - Log - February 17, 2020

FILTER OFF.
USE ALL.
EXECUTE.
USE ALL.
COMPUTE filter_$=(REGION = 3).
VARIABLE LABELS filter_$ 'REGION = 3 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.
FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e 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 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.

 - - - - - - - - - - - - - - - - - - - - - - - -   F A C T O R   A N A L Y S I S   - - - - - - - - - - - - - - - - - - - - - - - -

Factor Analysis
Factor Analysis - Descriptive Statistics - February 17, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 44 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .24 .430 83
K1b Lending money to relatives .30 .462 83
K1c Lending money to people in your own village .18 .387 83
K1d Lending money to people outside the village .07 .261 83
K1e Lending money to people from the same mosque/ church .10 .297 83
K2a Lending tools like axes, hoes etc. to family members .61 .490 83
K2b Lending tools like axes, hoes etc. to relatives outside the household .81 .397 83
K2c Lending tools like axes, hoes etc. to people in your own village .61 .490 83
K2d Lending tools like axes, hoes etc. to people outside the village .23 .423 83
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .25 .437 83
L2 Participated in cooperative agricultural work .18 .387 83
L3.a. Participated last 12 months in cooperative work of preparing a garden .06 .239 83
L3.b. Participated last12 months in cooperative work of planting .06 .239 83
L3.d. Participated last 12 months in cooperative work of weeding .04 .188 83
L3.e. Participated last 12 months in cooperative work of harvesting .14 .354 83
L3.f. Participated last 12 months in cooperative work of other agriculture work .04 .188 83
L6 Participation in other exchange work than agriculture .40 .492 83
L7 Participated in public works without payment during the last year .92 .280 83
L8.a. Participated in school project over the last 12 months .34 .476 83
L8.b. Participated in road project over the last 12 months .71 .456 83
L8.c. Participated in bridge project over the last 12 months .27 .444 83
L8.d. Participated in church project over the last 12 months .37 .487 83
L8.g. Participated in health centre project over the last 12 months .18 .387 83
L8.h. Participated in irrigation project over the last 12 months .11 .313 83
L8.i. Participated in borehole project over the last 12 months .37 .487 83
L8.k. Participated in graveyard clearing project over the last 12 months .66 .476 83
M1 Most people can be trusted (1) or you cannot be too careful (0) .47 .502 83
M2.d. Trust in Traditional Authorities .51 .503 83
M2.e. Trust in group village headmen .46 .501 83
M2.f. Trust in village headmen .51 .503 83
M2.j. Trust in police .46 .501 83
M2.l. Trust in teachers .54 .501 83
M2.m.Trust in school administrators .54 .501 83
M2.n. Trust in religious leaders .60 .492 83
M3.a. Trust in family members .78 .415 83
M3.b. Trust in relatives .46 .501 83
M3.c. Trust in people in own village .33 .471 83
M3.d. Trust in people outside the village .22 .415 83
M3.e. Trust in people of same ethnic group .34 .476 83
M3.f. Trust in people outside ethnic group .25 .437 83
M3.g. Trust in people from same church/ mosque .47 .502 83
M3.h. Trust in people not from same church/ mosque .29 .456 83
Factor Analysis
Factor Analysis - Communalities - February 17, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 46 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .185 .156 1.000 .842
K1b Lending money to relatives .213 .148 1.000 .695
K1c Lending money to people in your own village .150 .103 1.000 .687
K1d Lending money to people outside the village .068 .030 1.000 .440
K1e Lending money to people from the same mosque/ church .088 .043 1.000 .489
K2a Lending tools like axes, hoes etc. to family members .240 .173 1.000 .720
K2b Lending tools like axes, hoes etc. to relatives outside the household .158 .070 1.000 .444
K2c Lending tools like axes, hoes etc. to people in your own village .240 .165 1.000 .690
K2d Lending tools like axes, hoes etc. to people outside the village .179 .132 1.000 .739
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .191 .137 1.000 .718
L2 Participated in cooperative agricultural work .150 .123 1.000 .823
L3.a. Participated last 12 months in cooperative work of preparing a garden .057 .030 1.000 .519
L3.b. Participated last12 months in cooperative work of planting .057 .032 1.000 .559
L3.d. Participated last 12 months in cooperative work of weeding .035 .011 1.000 .323
L3.e. Participated last 12 months in cooperative work of harvesting .125 .086 1.000 .689
L3.f. Participated last 12 months in cooperative work of other agriculture work .035 .011 1.000 .320
L6 Participation in other exchange work than agriculture .242 .178 1.000 .736
L7 Participated in public works without payment during the last year .078 .039 1.000 .500
L8.a. Participated in school project over the last 12 months .226 .147 1.000 .649
L8.b. Participated in road project over the last 12 months .208 .157 1.000 .757
L8.c. Participated in bridge project over the last 12 months .197 .086 1.000 .436
L8.d. Participated in church project over the last 12 months .237 .160 1.000 .676
L8.g. Participated in health centre project over the last 12 months .150 .093 1.000 .619
L8.h. Participated in irrigation project over the last 12 months .098 .023 1.000 .236
L8.i. Participated in borehole project over the last 12 months .237 .167 1.000 .705
L8.k. Participated in graveyard clearing project over the last 12 months .226 .187 1.000 .825
M1 Most people can be trusted (1) or you cannot be too careful (0) .252 .189 1.000 .750
M2.d. Trust in Traditional Authorities .253 .196 1.000 .775
M2.e. Trust in group village headmen .251 .217 1.000 .864
M2.f. Trust in village headmen .253 .207 1.000 .820
M2.j. Trust in police .251 .179 1.000 .711
M2.l. Trust in teachers .251 .146 1.000 .581
M2.m.Trust in school administrators .251 .183 1.000 .730
M2.n. Trust in religious leaders .242 .155 1.000 .641
M3.a. Trust in family members .172 .106 1.000 .615
M3.b. Trust in relatives .251 .184 1.000 .732
M3.c. Trust in people in own village .222 .174 1.000 .781
M3.d. Trust in people outside the village .172 .120 1.000 .696
M3.e. Trust in people of same ethnic group .226 .176 1.000 .780
M3.f. Trust in people outside ethnic group .191 .131 1.000 .683
M3.g. Trust in people from same church/ mosque .252 .198 1.000 .787
M3.h. Trust in people not from same church/ mosque .208 .150 1.000 .722
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 17, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 89 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 1.938 24.931 24.931 1.938 24.931 24.931 1.847 23.761 23.761
2 .826 10.628 35.559 .826 10.628 35.559 .468 6.021 29.782
3 .707 9.100 44.659 .707 9.100 44.659 .622 8.007 37.789
4 .568 7.306 51.965 .568 7.306 51.965 .562 7.236 45.025
5 .339 4.356 56.322 .339 4.356 56.322 .519 6.681 51.705
6 .308 3.960 60.282 .308 3.960 60.282 .417 5.371 57.077
7 .250 3.217 63.499 .250 3.217 63.499 .400 5.145 62.222
8 .238 3.064 66.562 .238 3.064 66.562 .284 3.659 65.881
9 .228 2.929 69.492 .228 2.929 69.492 .281 3.611 69.492
10 .203 2.615 72.107            
11 .194 2.500 74.607            
12 .170 2.191 76.798            
13 .167 2.152 78.950            
14 .158 2.039 80.989            
15 .152 1.960 82.949            
16 .129 1.661 84.609            
17 .126 1.625 86.235            
18 .118 1.524 87.758            
19 .102 1.307 89.065            
20 .085 1.089 90.155            
21 .080 1.029 91.184            
22 .078 1.002 92.186            
23 .070 .897 93.083            
24 .067 .862 93.945            
25 .058 .747 94.693            
26 .050 .642 95.335            
27 .047 .610 95.944            
28 .046 .589 96.534            
29 .040 .516 97.049            
30 .036 .462 97.511            
31 .034 .436 97.947            
32 .030 .388 98.335            
33 .025 .328 98.663            
34 .022 .281 98.944            
35 .019 .239 99.183            
36 .017 .215 99.398            
37 .014 .183 99.581            
38 .012 .160 99.741            
39 .010 .124 99.865            
40 .006 .076 99.941            
41 .003 .038 99.978            
42 .002 .022 100.000            
Rescaled 1 1.938 24.931 24.931 8.557 20.375 20.375 8.084 19.248 19.248
2 .826 10.628 35.559 4.656 11.086 31.461 3.613 8.602 27.850
3 .707 9.100 44.659 4.008 9.543 41.004 3.521 8.384 36.234
4 .568 7.306 51.965 2.744 6.534 47.538 2.724 6.487 42.720
5 .339 4.356 56.322 1.807 4.302 51.840 2.572 6.123 48.843
6 .308 3.960 60.282 1.877 4.469 56.310 2.241 5.336 54.179
7 .250 3.217 63.499 1.440 3.430 59.739 1.854 4.414 58.593
8 .238 3.064 66.562 1.259 2.998 62.737 1.519 3.616 62.209
9 .228 2.929 69.492 1.155 2.750 65.487 1.377 3.278 65.487
10 .203 2.615 72.107            
11 .194 2.500 74.607            
12 .170 2.191 76.798            
13 .167 2.152 78.950            
14 .158 2.039 80.989            
15 .152 1.960 82.949            
16 .129 1.661 84.609            
17 .126 1.625 86.235            
18 .118 1.524 87.758            
19 .102 1.307 89.065            
20 .085 1.089 90.155            
21 .080 1.029 91.184            
22 .078 1.002 92.186            
23 .070 .897 93.083            
24 .067 .862 93.945            
25 .058 .747 94.693            
26 .050 .642 95.335            
27 .047 .610 95.944            
28 .046 .589 96.534            
29 .040 .516 97.049            
30 .036 .462 97.511            
31 .034 .436 97.947            
32 .030 .388 98.335            
33 .025 .328 98.663            
34 .022 .281 98.944            
35 .019 .239 99.183            
36 .017 .215 99.398            
37 .014 .183 99.581            
38 .012 .160 99.741            
39 .010 .124 99.865            
40 .006 .076 99.941            
41 .003 .038 99.978            
42 .002 .022 100.000            
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 17, 2020
Scree Plot Component Number: 42
Eigenvalue: 0.0017 Component Number: 41
Eigenvalue: 0.0029 Component Number: 40
Eigenvalue: 0.0059 Component Number: 39
Eigenvalue: 0.0096 Component Number: 38
Eigenvalue: 0.0124 Component Number: 37
Eigenvalue: 0.0142 Component Number: 36
Eigenvalue: 0.0167 Component Number: 35
Eigenvalue: 0.0185 Component Number: 34
Eigenvalue: 0.0218 Component Number: 33
Eigenvalue: 0.0255 Component Number: 32
Eigenvalue: 0.0302 Component Number: 31
Eigenvalue: 0.0339 Component Number: 30
Eigenvalue: 0.0359 Component Number: 29
Eigenvalue: 0.0401 Component Number: 28
Eigenvalue: 0.0458 Component Number: 27
Eigenvalue: 0.0474 Component Number: 26
Eigenvalue: 0.0499 Component Number: 25
Eigenvalue: 0.0581 Component Number: 24
Eigenvalue: 0.0670 Component Number: 23
Eigenvalue: 0.0697 Component Number: 22
Eigenvalue: 0.0779 Component Number: 21
Eigenvalue: 0.0800 Component Number: 20
Eigenvalue: 0.0847 Component Number: 19
Eigenvalue: 0.1016 Component Number: 18
Eigenvalue: 0.1184 Component Number: 17
Eigenvalue: 0.1263 Component Number: 16
Eigenvalue: 0.1291 Component Number: 15
Eigenvalue: 0.1523 Component Number: 14
Eigenvalue: 0.1584 Component Number: 13
Eigenvalue: 0.1673 Component Number: 12
Eigenvalue: 0.1703 Component Number: 11
Eigenvalue: 0.1943 Component Number: 10
Eigenvalue: 0.2033 Component Number: 9
Eigenvalue: 0.2277 Component Number: 8
Eigenvalue: 0.2381 Component Number: 7
Eigenvalue: 0.2500 Component Number: 6
Eigenvalue: 0.3078 Component Number: 5
Eigenvalue: 0.3386 Component Number: 4
Eigenvalue: 0.5678 Component Number: 3
Eigenvalue: 0.7072 Component Number: 2
Eigenvalue: 0.8260 Component Number: 1
Eigenvalue: 1.9376 Component Number: 41
Eigenvalue: 0.0029 Component Number: 40
Eigenvalue: 0.0059 Component Number: 39
Eigenvalue: 0.0096 Component Number: 38
Eigenvalue: 0.0124 Component Number: 37
Eigenvalue: 0.0142 Component Number: 36
Eigenvalue: 0.0167 Component Number: 35
Eigenvalue: 0.0185 Component Number: 34
Eigenvalue: 0.0218 Component Number: 33
Eigenvalue: 0.0255 Component Number: 32
Eigenvalue: 0.0302 Component Number: 31
Eigenvalue: 0.0339 Component Number: 30
Eigenvalue: 0.0359 Component Number: 29
Eigenvalue: 0.0401 Component Number: 28
Eigenvalue: 0.0458 Component Number: 27
Eigenvalue: 0.0474 Component Number: 26
Eigenvalue: 0.0499 Component Number: 25
Eigenvalue: 0.0581 Component Number: 24
Eigenvalue: 0.0670 Component Number: 23
Eigenvalue: 0.0697 Component Number: 22
Eigenvalue: 0.0779 Component Number: 21
Eigenvalue: 0.0800 Component Number: 20
Eigenvalue: 0.0847 Component Number: 19
Eigenvalue: 0.1016 Component Number: 18
Eigenvalue: 0.1184 Component Number: 17
Eigenvalue: 0.1263 Component Number: 16
Eigenvalue: 0.1291 Component Number: 15
Eigenvalue: 0.1523 Component Number: 14
Eigenvalue: 0.1584 Component Number: 13
Eigenvalue: 0.1673 Component Number: 12
Eigenvalue: 0.1703 Component Number: 11
Eigenvalue: 0.1943 Component Number: 10
Eigenvalue: 0.2033 Component Number: 9
Eigenvalue: 0.2277 Component Number: 8
Eigenvalue: 0.2381 Component Number: 7
Eigenvalue: 0.2500 Component Number: 6
Eigenvalue: 0.3078 Component Number: 5
Eigenvalue: 0.3386 Component Number: 4
Eigenvalue: 0.5678 Component Number: 3
Eigenvalue: 0.7072 Component Number: 2
Eigenvalue: 0.8260 Component Number: 1
Eigenvalue: 1.9376 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

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Factor Analysis
Factor Analysis - Component Matrix - February 17, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 19 columns and 48 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 -.087 .270 -.113 .166 -.027 .058 .038 -.163 -.054 -.201 .628 -.262 .386 -.063 .135 .089 -.379 -.125
K1b Lending money to relatives -.032 .259 -.150 .188 -.021 .030 .039 -.100 .097 -.069 .560 -.326 .408 -.046 .065 .085 -.216 .210
K1c Lending money to people in your own village .023 .237 -.068 .130 .094 .054 .058 .036 .092 .059 .612 -.177 .335 .243 .140 .149 .092 .238
K1d Lending money to people outside the village .012 .139 -.027 .051 .027 .071 .017 .031 -.009 .048 .532 -.104 .197 .104 .272 .067 .119 -.033
K1e Lending money to people from the same mosque/ church -.028 .150 -.066 .098 .038 .001 .054 .014 -.036 -.095 .506 -.222 .329 .127 .004 .183 .047 -.123
K2a Lending tools like axes, hoes etc. to family members -.206 .237 -.042 -.116 -.117 -.073 -.116 -.143 -.076 -.421 .483 -.087 -.237 -.239 -.149 -.237 -.292 -.155
K2b Lending tools like axes, hoes etc. to relatives outside the household -.108 .180 -.044 -.033 -.062 -.116 .008 .052 .054 -.272 .453 -.110 -.083 -.157 -.291 .021 .130 .135
K2c Lending tools like axes, hoes etc. to people in your own village -.178 .304 .030 .017 -.019 -.028 -.101 .166 .038 -.364 .620 .061 .034 -.039 -.056 -.206 .339 .077
K2d Lending tools like axes, hoes etc. to people outside the village -.093 .208 -.018 .057 -.005 .090 -.151 .185 -.106 -.221 .492 -.043 .135 -.012 .214 -.358 .437 -.252
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.134 .257 -.052 .014 -.018 .050 -.066 .101 -.183 -.306 .587 -.118 .032 -.040 .115 -.152 .230 -.417
L2 Participated in cooperative agricultural work .019 .091 .234 .107 -.075 .171 .051 -.084 .063 .050 .235 .605 .278 -.193 .441 .132 -.217 .162
L3.a. Participated last 12 months in cooperative work of preparing a garden .056 .086 .065 .011 -.021 .093 .053 .022 .049 .233 .357 .273 .046 -.088 .390 .222 .092 .206
L3.b. Participated last12 months in cooperative work of planting .029 .087 .103 .034 -.044 .072 .067 .014 -.007 .122 .363 .429 .140 -.185 .301 .280 .060 -.031
L3.d. Participated last 12 months in cooperative work of weeding .018 .060 .047 .003 -.033 .057 .027 .010 -.005 .096 .319 .253 .018 -.175 .305 .144 .053 -.024
L3.e. Participated last 12 months in cooperative work of harvesting .001 .024 .205 .102 -.040 .156 .016 -.067 .051 .002 .069 .579 .289 -.113 .440 .044 -.190 .145
L3.f. Participated last 12 months in cooperative work of other agriculture work .037 .035 .070 .018 -.035 .011 .041 .004 .024 .194 .187 .370 .094 -.186 .056 .217 .022 .128
L6 Participation in other exchange work than agriculture -.037 .241 .095 .007 -.137 -.230 .109 .050 .154 -.074 .489 .193 .014 -.279 -.467 .221 .101 .313
L7 Participated in public works without payment during the last year -.006 .033 .102 -.042 .139 -.037 .045 .044 .034 -.021 .119 .363 -.149 .498 -.131 .163 .159 .123
L8.a. Participated in school project over the last 12 months .087 -.014 .303 .144 .095 -.056 -.097 .049 -.050 .182 -.029 .638 .303 .199 -.117 -.204 .103 -.106
L8.b. Participated in road project over the last 12 months .004 .196 .173 -.194 .168 -.115 .062 -.068 -.039 .009 .430 .379 -.426 .368 -.251 .136 -.149 -.087
L8.c. Participated in bridge project over the last 12 months -.112 .027 .186 -.137 .067 .030 -.033 -.073 -.086 -.252 .061 .419 -.308 .152 .068 -.075 -.165 -.194
L8.d. Participated in church project over the last 12 months -.029 .010 .264 .234 .065 .003 .138 .049 -.095 -.059 .021 .542 .481 .133 .006 .284 .101 -.195
L8.g. Participated in health centre project over the last 12 months -.113 -.037 .187 -.001 .007 -.059 -.174 -.078 .060 -.293 -.096 .484 -.002 .018 -.151 -.448 -.202 .155
L8.h. Participated in irrigation project over the last 12 months -.006 .013 .082 .082 .061 .003 -.051 .036 .042 -.019 .042 .263 .262 .196 .010 -.164 .115 .135
L8.i. Participated in borehole project over the last 12 months .036 .014 .363 .112 .006 -.108 -.094 -.007 -.025 .075 .028 .745 .230 .012 -.222 -.194 -.013 -.051
L8.k. Participated in graveyard clearing project over the last 12 months .006 .251 .124 -.219 .231 .008 .009 -.063 .056 .013 .527 .261 -.460 .485 .017 .020 -.132 .119
M1 Most people can be trusted (1) or you cannot be too careful (0) .267 .164 .024 -.205 -.136 .020 -.117 .010 .125 .531 .327 .048 -.409 -.270 .041 -.234 .020 .249
M2.d. Trust in Traditional Authorities .350 .117 -.103 .157 .136 -.066 -.017 -.035 .020 .695 .233 -.205 .312 .271 -.131 -.035 -.069 .040
M2.e. Trust in group village headmen .370 .009 -.160 .152 .122 -.112 -.037 .028 -.043 .738 .018 -.319 .304 .244 -.224 -.075 .055 -.085
M2.f. Trust in village headmen .361 .041 -.165 .147 .111 -.096 -.055 -.046 .002 .718 .081 -.328 .292 .221 -.191 -.110 -.091 .003
M2.j. Trust in police .394 -.045 .003 .025 .091 .005 -.089 -.008 .069 .785 -.090 .006 .050 .182 .011 -.177 -.017 .138
M2.l. Trust in teachers .328 .036 -.033 -.109 .084 .109 .046 .036 .043 .655 .072 -.066 -.218 .167 .217 .092 .072 .085
M2.m.Trust in school administrators .307 .090 .057 -.204 .041 .059 .135 -.013 -.112 .613 .179 .113 -.407 .082 .118 .269 -.026 -.223
M2.n. Trust in religious leaders .241 .118 -.100 -.238 .056 .099 -.028 .035 -.041 .490 .240 -.204 -.482 .114 .201 -.058 .071 -.083
M3.a. Trust in family members .148 .009 .037 -.050 -.089 -.124 .183 .138 -.065 .356 .022 .088 -.120 -.214 -.299 .441 .334 -.157
M3.b. Trust in relatives .312 .118 .048 -.009 -.163 -.124 .044 -.086 -.136 .623 .235 .095 -.017 -.326 -.248 .087 -.172 -.272
M3.c. Trust in people in own village .388 .080 .078 -.022 -.070 -.029 -.028 -.016 .055 .824 .169 .166 -.047 -.148 -.062 -.060 -.033 .116
M3.d. Trust in people outside the village .302 -.002 .063 -.026 -.089 .047 -.011 .105 .048 .730 -.005 .153 -.063 -.214 .113 -.026 .253 .116
M3.e. Trust in people of same ethnic group .383 -.094 .019 .003 -.074 -.089 -.017 -.052 -.064 .805 -.198 .039 .007 -.155 -.188 -.036 -.108 -.135
M3.f. Trust in people outside ethnic group .339 -.012 .065 -.007 -.057 .066 -.030 .000 .051 .776 -.026 .148 -.016 -.131 .150 -.069 .000 .117
M3.g. Trust in people from same church/ mosque .380 .087 .028 .082 -.105 .083 -.049 -.074 -.114 .757 .174 .055 .164 -.210 .166 -.098 -.147 -.226
M3.h. Trust in people not from same church/ mosque .359 -.042 .063 .022 -.057 .058 -.016 .091 .010 .787 -.091 .137 .049 -.126 .127 -.035 .200 .023
Extraction Method: Principal Component Analysis.
a. 9 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 17, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 19 columns and 48 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 -.074 .077 .330 -.038 -.020 .064 .016 -.052 .164 -.172 .180 .766 -.089 -.046 .150 .038 -.120 .380
K1b Lending money to relatives -.014 .060 .347 -.051 -.058 .021 .101 -.080 .033 -.030 .130 .751 -.110 -.126 .046 .218 -.173 .072
K1c Lending money to people in your own village .032 .069 .277 -.004 .043 .070 .058 -.013 -.101 .081 .178 .716 -.011 .112 .182 .150 -.033 -.260
K1d Lending money to people outside the village .019 .063 .127 -.017 .022 .091 -.003 .005 -.021 .075 .241 .486 -.064 .085 .348 -.013 .020 -.082
K1e Lending money to people from the same mosque/ church -.026 .010 .186 .003 .008 .070 .019 .050 .010 -.088 .032 .625 .009 .028 .235 .063 .168 .033
K2a Lending tools like axes, hoes etc. to family members -.152 -.026 .050 -.087 .086 .144 .155 -.127 .265 -.310 -.054 .103 -.177 .176 .294 .316 -.259 .542
K2b Lending tools like axes, hoes etc. to relatives outside the household -.078 -.024 .073 -.040 .035 .089 .216 .010 .023 -.196 -.061 .184 -.100 .087 .224 .544 .024 .059
K2c Lending tools like axes, hoes etc. to people in your own village -.115 .042 .106 .046 .063 .290 .212 -.053 -.036 -.235 .085 .217 .093 .128 .593 .432 -.108 -.074
K2d Lending tools like axes, hoes etc. to people outside the village -.039 .024 .078 .036 -.017 .348 .011 -.026 -.015 -.092 .058 .185 .085 -.039 .824 .027 -.061 -.035
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.093 .014 .123 -.021 .038 .317 .017 .037 .097 -.213 .033 .282 -.049 .088 .724 .039 .084 .221
L2 Participated in cooperative agricultural work .005 .323 .038 .107 .004 -.031 -.013 -.067 .027 .014 .834 .099 .277 .011 -.079 -.034 -.172 .069
L3.a. Participated last 12 months in cooperative work of preparing a garden .050 .150 .037 -.011 .028 .020 .016 .005 -.042 .208 .628 .155 -.046 .116 .083 .067 .019 -.174
L3.b. Participated last12 months in cooperative work of planting .020 .163 .030 .030 .020 .029 .013 .042 .010 .081 .681 .123 .125 .084 .123 .054 .175 .042
L3.d. Participated last 12 months in cooperative work of weeding .016 .097 .014 -.004 .013 .033 .006 .012 .008 .085 .516 .073 -.023 .069 .177 .031 .065 .044
L3.e. Participated last 12 months in cooperative work of harvesting -.012 .252 .005 .115 -.012 -.033 -.050 -.077 .002 -.033 .711 .015 .324 -.034 -.094 -.141 -.218 .007
L3.f. Participated last 12 months in cooperative work of other agriculture work .030 .087 .003 .028 .008 -.015 .036 .023 .000 .161 .462 .015 .150 .040 -.077 .190 .121 -.002
L6 Participation in other exchange work than agriculture -.019 .083 .079 .052 .055 -.010 .391 .075 .026 -.038 .169 .161 .106 .112 -.021 .794 .153 .052
L7 Participated in public works without payment during the last year -.016 .007 -.003 .075 .154 -.013 .015 .033 -.088 -.057 .025 -.012 .268 .553 -.045 .055 .117 -.316
L8.a. Participated in school project over the last 12 months .090 .071 -.058 .353 .057 .029 -.034 .003 -.015 .190 .148 -.122 .743 .120 .061 -.072 .006 -.031
L8.b. Participated in road project over the last 12 months .001 .020 .006 .051 .375 .005 .083 .039 .071 .002 .045 .013 .112 .823 .012 .182 .086 .156
L8.c. Participated in bridge project over the last 12 months -.111 .065 -.113 .062 .196 .036 -.052 -.047 .091 -.251 .145 -.253 .139 .441 .082 -.117 -.105 .205
L8.d. Participated in church project over the last 12 months -.070 .172 .065 .300 .007 -.019 -.065 .162 -.017 -.144 .354 .134 .617 .014 -.038 -.133 .334 -.034
L8.g. Participated in health centre project over the last 12 months -.083 .005 -.117 .178 .042 -.014 .051 -.184 .049 -.214 .012 -.301 .459 .110 -.037 .133 -.474 .126
L8.h. Participated in irrigation project over the last 12 months .002 .023 .021 .124 .007 .022 .000 -.045 -.065 .008 .073 .068 .396 .024 .071 .001 -.142 -.209
L8.i. Participated in borehole project over the last 12 months .046 .113 -.098 .361 .063 -.001 .060 -.021 .064 .095 .232 -.201 .742 .129 -.002 .124 -.043 .132
L8.k. Participated in graveyard clearing project over the last 12 months .018 .055 .058 -.021 .409 .048 .052 -.080 -.026 .037 .115 .123 -.043 .860 .101 .110 -.169 -.054
M1 Most people can be trusted (1) or you cannot be too careful (0) .310 .096 -.088 -.142 .087 .071 .173 -.112 .026 .618 .192 -.176 -.282 .174 .141 .344 -.223 .053
M2.d. Trust in Traditional Authorities .351 -.078 .242 .063 .019 -.043 -.023 .022 -.032 .697 -.156 .482 .126 .039 -.086 -.047 .043 -.065
M2.e. Trust in group village headmen .368 -.180 .172 .059 -.051 -.035 -.060 .084 -.040 .734 -.359 .344 .118 -.101 -.069 -.120 .168 -.080
M2.f. Trust in village headmen .365 -.157 .202 .037 -.038 -.065 -.043 .013 -.011 .725 -.311 .402 .073 -.076 -.128 -.085 .027 -.022
M2.j. Trust in police .394 -.031 .003 .048 .019 -.079 -.069 -.046 -.084 .785 -.062 .006 .095 .038 -.157 -.138 -.091 -.167
M2.l. Trust in teachers .311 .057 .009 -.120 .111 -.022 -.077 .037 -.106 .621 .114 .017 -.239 .221 -.045 -.153 .073 -.212
M2.m.Trust in school administrators .274 .105 -.042 -.122 .218 -.010 -.070 .159 .054 .546 .209 -.084 -.243 .436 -.020 -.140 .318 .107
M2.n. Trust in religious leaders .253 -.008 -.020 -.219 .171 .106 -.051 .006 -.013 .514 -.015 -.041 -.444 .347 .215 -.103 .012 -.026
M3.a. Trust in family members .117 .027 -.059 -.016 .009 -.017 .106 .276 -.001 .282 .064 -.143 -.038 .021 -.042 .256 .665 -.003
M3.b. Trust in relatives .307 .057 .016 .012 .009 -.027 .086 .140 .241 .612 .115 .032 .023 .018 -.053 .171 .279 .482
M3.c. Trust in people in own village .393 .093 -.015 .019 .033 -.044 .075 .011 .029 .834 .198 -.033 .041 .069 -.093 .159 .023 .061
M3.d. Trust in people outside the village .302 .108 -.086 -.011 -.038 .014 .029 .050 -.067 .728 .260 -.207 -.026 -.092 .033 .071 .120 -.161
M3.e. Trust in people of same ethnic group .368 -.031 -.077 .034 -.052 -.116 -.030 .085 .096 .773 -.066 -.162 .071 -.109 -.243 -.064 .178 .201
M3.f. Trust in people outside ethnic group .335 .110 -.051 .000 -.020 -.048 -.022 -.010 -.023 .766 .252 -.118 .000 -.045 -.110 -.050 -.022 -.052
M3.g. Trust in people from same church/ mosque .381 .126 .060 .018 -.060 .029 -.082 .025 .148 .758 .252 .119 .036 -.119 .058 -.164 .050 .294
M3.h. Trust in people not from same church/ mosque .350 .093 -.071 .027 -.059 -.006 -.039 .065 -.063 .767 .204 -.155 .059 -.129 -.014 -.085 .143 -.139
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 9 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - February 17, 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 .971 .061 .009 -.015 .019 -.151 -.093 .145 -.023
2 .095 .268 .576 -.073 .380 .476 .414 -.053 .191
3 -.028 .547 -.401 .652 .323 -.055 .069 .003 .054
4 -.016 .086 .563 .570 -.574 -.053 -.114 .030 -.063
5 -.040 -.355 .290 .246 .608 -.064 -.419 -.057 -.420
6 -.030 .598 .036 -.332 -.096 .227 -.596 -.260 -.216
7 -.206 .328 .228 -.241 .125 -.453 .026 .711 -.114
8 .038 -.056 -.223 .069 -.158 .573 .174 .419 -.618
9 .031 .155 .060 -.105 -.044 -.394 .491 -.473 -.582
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - February 17, 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: 0.6969
Component 2: -0.1558
Component 3: 0.4820 Component 1: 0.7250
Component 2: -0.3115
Component 3: 0.4015 Component 1: 0.0814
Component 2: 0.1782
Component 3: 0.7157 Component 1: 0.7341
Component 2: -0.3593
Component 3: 0.3439 Component 1: -0.0298
Component 2: 0.1303
Component 3: 0.7513 Component 1: 0.7583
Component 2: 0.2515
Component 3: 0.1194 Component 1: -0.1725
Component 2: 0.1798
Component 3: 0.7663 Component 1: 0.8345
Component 2: 0.1980
Component 3: -0.0325 Component 1: 0.0746
Component 2: 0.2413
Component 3: 0.4864 Component 1: -0.0877
Component 2: 0.0321
Component 3: 0.6249 Component 1: 0.7852
Component 2: -0.0622
Component 3: 0.0062 Component 1: 0.6125
Component 2: 0.1146
Component 3: 0.0317 Component 1: 0.6214
Component 2: 0.1143
Component 3: 0.0172 Component 1: 0.7656
Component 2: 0.2518
Component 3: -0.1177 Component 1: 0.2081
Component 2: 0.6276
Component 3: 0.1554 Component 1: 0.7673
Component 2: 0.2045
Component 3: -0.1554 Component 1: 0.7726
Component 2: -0.0657
Component 3: -0.1624 Component 1: 0.7285
Component 2: 0.2600
Component 3: -0.2066 Component 1: 0.5457
Component 2: 0.2089
Component 3: -0.0839 Component 1: 0.0815
Component 2: 0.6810
Component 3: 0.1234 Component 1: 0.5135
Component 2: -0.0152
Component 3: -0.0407 Component 1: 0.6177
Component 2: 0.1920
Component 3: -0.1757 Component 1: 0.0138
Component 2: 0.8335
Component 3: 0.0986 Component 1: 0.0853
Component 2: 0.5160
Component 3: 0.0730 Component 1: 0.1606
Component 2: 0.4619
Component 3: 0.0146 Component 1: 0.0371
Component 2: 0.1154
Component 3: 0.1226 Component 1: -0.0381
Component 2: 0.1685
Component 3: 0.1609 Component 1: -0.0329
Component 2: 0.7109
Component 3: 0.0154 Component 1: -0.2129
Component 2: 0.0325
Component 3: 0.2823 Component 1: -0.0920
Component 2: 0.0578
Component 3: 0.1849 Component 1: -0.1441
Component 2: 0.3539
Component 3: 0.1343 Component 1: 0.0079
Component 2: 0.0735
Component 3: 0.0684 Component 1: -0.2353
Component 2: 0.0853
Component 3: 0.2171 Component 1: 0.2822
Component 2: 0.0643
Component 3: -0.1433 Component 1: 0.1897
Component 2: 0.1484
Component 3: -0.1224 Component 1: -0.1962
Component 2: -0.0608
Component 3: 0.1840 Component 1: 0.0020
Component 2: 0.0447
Component 3: 0.0131 Component 1: -0.0569
Component 2: 0.0253
Component 3: -0.0123 Component 1: 0.0948
Component 2: 0.2316
Component 3: -0.2010 Component 1: -0.3102
Component 2: -0.0540
Component 3: 0.1026 Component 1: -0.2510
Component 2: 0.1453
Component 3: -0.2535 Component 1: -0.2140
Component 2: 0.0124
Component 3: -0.3011

Log
Log - Log - February 17, 2020

FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e 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 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(8) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - February 17, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 44 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .24 .430 83
K1b Lending money to relatives .30 .462 83
K1c Lending money to people in your own village .18 .387 83
K1d Lending money to people outside the village .07 .261 83
K1e Lending money to people from the same mosque/ church .10 .297 83
K2a Lending tools like axes, hoes etc. to family members .61 .490 83
K2b Lending tools like axes, hoes etc. to relatives outside the household .81 .397 83
K2c Lending tools like axes, hoes etc. to people in your own village .61 .490 83
K2d Lending tools like axes, hoes etc. to people outside the village .23 .423 83
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .25 .437 83
L2 Participated in cooperative agricultural work .18 .387 83
L3.a. Participated last 12 months in cooperative work of preparing a garden .06 .239 83
L3.b. Participated last12 months in cooperative work of planting .06 .239 83
L3.d. Participated last 12 months in cooperative work of weeding .04 .188 83
L3.e. Participated last 12 months in cooperative work of harvesting .14 .354 83
L3.f. Participated last 12 months in cooperative work of other agriculture work .04 .188 83
L6 Participation in other exchange work than agriculture .40 .492 83
L7 Participated in public works without payment during the last year .92 .280 83
L8.a. Participated in school project over the last 12 months .34 .476 83
L8.b. Participated in road project over the last 12 months .71 .456 83
L8.c. Participated in bridge project over the last 12 months .27 .444 83
L8.d. Participated in church project over the last 12 months .37 .487 83
L8.g. Participated in health centre project over the last 12 months .18 .387 83
L8.h. Participated in irrigation project over the last 12 months .11 .313 83
L8.i. Participated in borehole project over the last 12 months .37 .487 83
L8.k. Participated in graveyard clearing project over the last 12 months .66 .476 83
M1 Most people can be trusted (1) or you cannot be too careful (0) .47 .502 83
M2.d. Trust in Traditional Authorities .51 .503 83
M2.e. Trust in group village headmen .46 .501 83
M2.f. Trust in village headmen .51 .503 83
M2.j. Trust in police .46 .501 83
M2.l. Trust in teachers .54 .501 83
M2.m.Trust in school administrators .54 .501 83
M2.n. Trust in religious leaders .60 .492 83
M3.a. Trust in family members .78 .415 83
M3.b. Trust in relatives .46 .501 83
M3.c. Trust in people in own village .33 .471 83
M3.d. Trust in people outside the village .22 .415 83
M3.e. Trust in people of same ethnic group .34 .476 83
M3.f. Trust in people outside ethnic group .25 .437 83
M3.g. Trust in people from same church/ mosque .47 .502 83
M3.h. Trust in people not from same church/ mosque .29 .456 83
Factor Analysis
Factor Analysis - Communalities - February 17, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 46 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .185 .153 1.000 .827
K1b Lending money to relatives .213 .139 1.000 .651
K1c Lending money to people in your own village .150 .094 1.000 .630
K1d Lending money to people outside the village .068 .030 1.000 .439
K1e Lending money to people from the same mosque/ church .088 .042 1.000 .474
K2a Lending tools like axes, hoes etc. to family members .240 .167 1.000 .696
K2b Lending tools like axes, hoes etc. to relatives outside the household .158 .067 1.000 .425
K2c Lending tools like axes, hoes etc. to people in your own village .240 .164 1.000 .684
K2d Lending tools like axes, hoes etc. to people outside the village .179 .121 1.000 .676
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .191 .104 1.000 .544
L2 Participated in cooperative agricultural work .150 .119 1.000 .797
L3.a. Participated last 12 months in cooperative work of preparing a garden .057 .027 1.000 .477
L3.b. Participated last12 months in cooperative work of planting .057 .032 1.000 .558
L3.d. Participated last 12 months in cooperative work of weeding .035 .011 1.000 .322
L3.e. Participated last 12 months in cooperative work of harvesting .125 .084 1.000 .668
L3.f. Participated last 12 months in cooperative work of other agriculture work .035 .011 1.000 .304
L6 Participation in other exchange work than agriculture .242 .155 1.000 .638
L7 Participated in public works without payment during the last year .078 .038 1.000 .485
L8.a. Participated in school project over the last 12 months .226 .144 1.000 .638
L8.b. Participated in road project over the last 12 months .208 .156 1.000 .749
L8.c. Participated in bridge project over the last 12 months .197 .079 1.000 .398
L8.d. Participated in church project over the last 12 months .237 .151 1.000 .638
L8.g. Participated in health centre project over the last 12 months .150 .089 1.000 .595
L8.h. Participated in irrigation project over the last 12 months .098 .021 1.000 .218
L8.i. Participated in borehole project over the last 12 months .237 .166 1.000 .702
L8.k. Participated in graveyard clearing project over the last 12 months .226 .184 1.000 .811
M1 Most people can be trusted (1) or you cannot be too careful (0) .252 .174 1.000 .688
M2.d. Trust in Traditional Authorities .253 .196 1.000 .774
M2.e. Trust in group village headmen .251 .215 1.000 .857
M2.f. Trust in village headmen .253 .207 1.000 .820
M2.j. Trust in police .251 .174 1.000 .692
M2.l. Trust in teachers .251 .144 1.000 .574
M2.m.Trust in school administrators .251 .171 1.000 .680
M2.n. Trust in religious leaders .242 .154 1.000 .634
M3.a. Trust in family members .172 .101 1.000 .590
M3.b. Trust in relatives .251 .165 1.000 .658
M3.c. Trust in people in own village .222 .171 1.000 .768
M3.d. Trust in people outside the village .172 .117 1.000 .683
M3.e. Trust in people of same ethnic group .226 .172 1.000 .762
M3.f. Trust in people outside ethnic group .191 .128 1.000 .669
M3.g. Trust in people from same church/ mosque .252 .185 1.000 .736
M3.h. Trust in people not from same church/ mosque .208 .150 1.000 .722
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 17, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 89 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 1.938 24.931 24.931 1.938 24.931 24.931 1.850 23.807 23.807
2 .826 10.628 35.559 .826 10.628 35.559 .634 8.159 31.966
3 .707 9.100 44.659 .707 9.100 44.659 .471 6.056 38.022
4 .568 7.306 51.965 .568 7.306 51.965 .552 7.104 45.126
5 .339 4.356 56.322 .339 4.356 56.322 .516 6.636 51.762
6 .308 3.960 60.282 .308 3.960 60.282 .449 5.775 57.537
7 .250 3.217 63.499 .250 3.217 63.499 .360 4.636 62.173
8 .238 3.064 66.562 .238 3.064 66.562 .341 4.389 66.562
9 .228 2.929 69.492            
10 .203 2.615 72.107            
11 .194 2.500 74.607            
12 .170 2.191 76.798            
13 .167 2.152 78.950            
14 .158 2.039 80.989            
15 .152 1.960 82.949            
16 .129 1.661 84.609            
17 .126 1.625 86.235            
18 .118 1.524 87.758            
19 .102 1.307 89.065            
20 .085 1.089 90.155            
21 .080 1.029 91.184            
22 .078 1.002 92.186            
23 .070 .897 93.083            
24 .067 .862 93.945            
25 .058 .747 94.693            
26 .050 .642 95.335            
27 .047 .610 95.944            
28 .046 .589 96.534            
29 .040 .516 97.049            
30 .036 .462 97.511            
31 .034 .436 97.947            
32 .030 .388 98.335            
33 .025 .328 98.663            
34 .022 .281 98.944            
35 .019 .239 99.183            
36 .017 .215 99.398            
37 .014 .183 99.581            
38 .012 .160 99.741            
39 .010 .124 99.865            
40 .006 .076 99.941            
41 .003 .038 99.978            
42 .002 .022 100.000            
Rescaled 1 1.938 24.931 24.931 8.557 20.375 20.375 8.096 19.277 19.277
2 .826 10.628 35.559 4.656 11.086 31.461 3.591 8.549 27.826
3 .707 9.100 44.659 4.008 9.543 41.004 3.583 8.532 36.358
4 .568 7.306 51.965 2.744 6.534 47.538 2.711 6.456 42.814
5 .339 4.356 56.322 1.807 4.302 51.840 2.567 6.113 48.927
6 .308 3.960 60.282 1.877 4.469 56.310 2.334 5.558 54.484
7 .250 3.217 63.499 1.440 3.430 59.739 1.769 4.212 58.696
8 .238 3.064 66.562 1.259 2.998 62.737 1.697 4.041 62.737
9 .228 2.929 69.492            
10 .203 2.615 72.107            
11 .194 2.500 74.607            
12 .170 2.191 76.798            
13 .167 2.152 78.950            
14 .158 2.039 80.989            
15 .152 1.960 82.949            
16 .129 1.661 84.609            
17 .126 1.625 86.235            
18 .118 1.524 87.758            
19 .102 1.307 89.065            
20 .085 1.089 90.155            
21 .080 1.029 91.184            
22 .078 1.002 92.186            
23 .070 .897 93.083            
24 .067 .862 93.945            
25 .058 .747 94.693            
26 .050 .642 95.335            
27 .047 .610 95.944            
28 .046 .589 96.534            
29 .040 .516 97.049            
30 .036 .462 97.511            
31 .034 .436 97.947            
32 .030 .388 98.335            
33 .025 .328 98.663            
34 .022 .281 98.944            
35 .019 .239 99.183            
36 .017 .215 99.398            
37 .014 .183 99.581            
38 .012 .160 99.741            
39 .010 .124 99.865            
40 .006 .076 99.941            
41 .003 .038 99.978            
42 .002 .022 100.000            
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 17, 2020
Scree Plot Component Number: 42
Eigenvalue: 0.0017 Component Number: 41
Eigenvalue: 0.0029 Component Number: 40
Eigenvalue: 0.0059 Component Number: 39
Eigenvalue: 0.0096 Component Number: 38
Eigenvalue: 0.0124 Component Number: 37
Eigenvalue: 0.0142 Component Number: 36
Eigenvalue: 0.0167 Component Number: 35
Eigenvalue: 0.0185 Component Number: 34
Eigenvalue: 0.0218 Component Number: 33
Eigenvalue: 0.0255 Component Number: 32
Eigenvalue: 0.0302 Component Number: 31
Eigenvalue: 0.0339 Component Number: 30
Eigenvalue: 0.0359 Component Number: 29
Eigenvalue: 0.0401 Component Number: 28
Eigenvalue: 0.0458 Component Number: 27
Eigenvalue: 0.0474 Component Number: 26
Eigenvalue: 0.0499 Component Number: 25
Eigenvalue: 0.0581 Component Number: 24
Eigenvalue: 0.0670 Component Number: 23
Eigenvalue: 0.0697 Component Number: 22
Eigenvalue: 0.0779 Component Number: 21
Eigenvalue: 0.0800 Component Number: 20
Eigenvalue: 0.0847 Component Number: 19
Eigenvalue: 0.1016 Component Number: 18
Eigenvalue: 0.1184 Component Number: 17
Eigenvalue: 0.1263 Component Number: 16
Eigenvalue: 0.1291 Component Number: 15
Eigenvalue: 0.1523 Component Number: 14
Eigenvalue: 0.1584 Component Number: 13
Eigenvalue: 0.1673 Component Number: 12
Eigenvalue: 0.1703 Component Number: 11
Eigenvalue: 0.1943 Component Number: 10
Eigenvalue: 0.2033 Component Number: 9
Eigenvalue: 0.2277 Component Number: 8
Eigenvalue: 0.2381 Component Number: 7
Eigenvalue: 0.2500 Component Number: 6
Eigenvalue: 0.3078 Component Number: 5
Eigenvalue: 0.3386 Component Number: 4
Eigenvalue: 0.5678 Component Number: 3
Eigenvalue: 0.7072 Component Number: 2
Eigenvalue: 0.8260 Component Number: 1
Eigenvalue: 1.9376 Component Number: 41
Eigenvalue: 0.0029 Component Number: 40
Eigenvalue: 0.0059 Component Number: 39
Eigenvalue: 0.0096 Component Number: 38
Eigenvalue: 0.0124 Component Number: 37
Eigenvalue: 0.0142 Component Number: 36
Eigenvalue: 0.0167 Component Number: 35
Eigenvalue: 0.0185 Component Number: 34
Eigenvalue: 0.0218 Component Number: 33
Eigenvalue: 0.0255 Component Number: 32
Eigenvalue: 0.0302 Component Number: 31
Eigenvalue: 0.0339 Component Number: 30
Eigenvalue: 0.0359 Component Number: 29
Eigenvalue: 0.0401 Component Number: 28
Eigenvalue: 0.0458 Component Number: 27
Eigenvalue: 0.0474 Component Number: 26
Eigenvalue: 0.0499 Component Number: 25
Eigenvalue: 0.0581 Component Number: 24
Eigenvalue: 0.0670 Component Number: 23
Eigenvalue: 0.0697 Component Number: 22
Eigenvalue: 0.0779 Component Number: 21
Eigenvalue: 0.0800 Component Number: 20
Eigenvalue: 0.0847 Component Number: 19
Eigenvalue: 0.1016 Component Number: 18
Eigenvalue: 0.1184 Component Number: 17
Eigenvalue: 0.1263 Component Number: 16
Eigenvalue: 0.1291 Component Number: 15
Eigenvalue: 0.1523 Component Number: 14
Eigenvalue: 0.1584 Component Number: 13
Eigenvalue: 0.1673 Component Number: 12
Eigenvalue: 0.1703 Component Number: 11
Eigenvalue: 0.1943 Component Number: 10
Eigenvalue: 0.2033 Component Number: 9
Eigenvalue: 0.2277 Component Number: 8
Eigenvalue: 0.2381 Component Number: 7
Eigenvalue: 0.2500 Component Number: 6
Eigenvalue: 0.3078 Component Number: 5
Eigenvalue: 0.3386 Component Number: 4
Eigenvalue: 0.5678 Component Number: 3
Eigenvalue: 0.7072 Component Number: 2
Eigenvalue: 0.8260 Component Number: 1
Eigenvalue: 1.9376 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

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Factor Analysis
Factor Analysis - Component Matrix - February 17, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 17 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8
K1a Lending money to family members -.087 .270 -.113 .166 -.027 .058 .038 -.163 -.201 .628 -.262 .386 -.063 .135 .089 -.379
K1b Lending money to relatives -.032 .259 -.150 .188 -.021 .030 .039 -.100 -.069 .560 -.326 .408 -.046 .065 .085 -.216
K1c Lending money to people in your own village .023 .237 -.068 .130 .094 .054 .058 .036 .059 .612 -.177 .335 .243 .140 .149 .092
K1d Lending money to people outside the village .012 .139 -.027 .051 .027 .071 .017 .031 .048 .532 -.104 .197 .104 .272 .067 .119
K1e Lending money to people from the same mosque/ church -.028 .150 -.066 .098 .038 .001 .054 .014 -.095 .506 -.222 .329 .127 .004 .183 .047
K2a Lending tools like axes, hoes etc. to family members -.206 .237 -.042 -.116 -.117 -.073 -.116 -.143 -.421 .483 -.087 -.237 -.239 -.149 -.237 -.292
K2b Lending tools like axes, hoes etc. to relatives outside the household -.108 .180 -.044 -.033 -.062 -.116 .008 .052 -.272 .453 -.110 -.083 -.157 -.291 .021 .130
K2c Lending tools like axes, hoes etc. to people in your own village -.178 .304 .030 .017 -.019 -.028 -.101 .166 -.364 .620 .061 .034 -.039 -.056 -.206 .339
K2d Lending tools like axes, hoes etc. to people outside the village -.093 .208 -.018 .057 -.005 .090 -.151 .185 -.221 .492 -.043 .135 -.012 .214 -.358 .437
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.134 .257 -.052 .014 -.018 .050 -.066 .101 -.306 .587 -.118 .032 -.040 .115 -.152 .230
L2 Participated in cooperative agricultural work .019 .091 .234 .107 -.075 .171 .051 -.084 .050 .235 .605 .278 -.193 .441 .132 -.217
L3.a. Participated last 12 months in cooperative work of preparing a garden .056 .086 .065 .011 -.021 .093 .053 .022 .233 .357 .273 .046 -.088 .390 .222 .092
L3.b. Participated last12 months in cooperative work of planting .029 .087 .103 .034 -.044 .072 .067 .014 .122 .363 .429 .140 -.185 .301 .280 .060
L3.d. Participated last 12 months in cooperative work of weeding .018 .060 .047 .003 -.033 .057 .027 .010 .096 .319 .253 .018 -.175 .305 .144 .053
L3.e. Participated last 12 months in cooperative work of harvesting .001 .024 .205 .102 -.040 .156 .016 -.067 .002 .069 .579 .289 -.113 .440 .044 -.190
L3.f. Participated last 12 months in cooperative work of other agriculture work .037 .035 .070 .018 -.035 .011 .041 .004 .194 .187 .370 .094 -.186 .056 .217 .022
L6 Participation in other exchange work than agriculture -.037 .241 .095 .007 -.137 -.230 .109 .050 -.074 .489 .193 .014 -.279 -.467 .221 .101
L7 Participated in public works without payment during the last year -.006 .033 .102 -.042 .139 -.037 .045 .044 -.021 .119 .363 -.149 .498 -.131 .163 .159
L8.a. Participated in school project over the last 12 months .087 -.014 .303 .144 .095 -.056 -.097 .049 .182 -.029 .638 .303 .199 -.117 -.204 .103
L8.b. Participated in road project over the last 12 months .004 .196 .173 -.194 .168 -.115 .062 -.068 .009 .430 .379 -.426 .368 -.251 .136 -.149
L8.c. Participated in bridge project over the last 12 months -.112 .027 .186 -.137 .067 .030 -.033 -.073 -.252 .061 .419 -.308 .152 .068 -.075 -.165
L8.d. Participated in church project over the last 12 months -.029 .010 .264 .234 .065 .003 .138 .049 -.059 .021 .542 .481 .133 .006 .284 .101
L8.g. Participated in health centre project over the last 12 months -.113 -.037 .187 -.001 .007 -.059 -.174 -.078 -.293 -.096 .484 -.002 .018 -.151 -.448 -.202
L8.h. Participated in irrigation project over the last 12 months -.006 .013 .082 .082 .061 .003 -.051 .036 -.019 .042 .263 .262 .196 .010 -.164 .115
L8.i. Participated in borehole project over the last 12 months .036 .014 .363 .112 .006 -.108 -.094 -.007 .075 .028 .745 .230 .012 -.222 -.194 -.013
L8.k. Participated in graveyard clearing project over the last 12 months .006 .251 .124 -.219 .231 .008 .009 -.063 .013 .527 .261 -.460 .485 .017 .020 -.132
M1 Most people can be trusted (1) or you cannot be too careful (0) .267 .164 .024 -.205 -.136 .020 -.117 .010 .531 .327 .048 -.409 -.270 .041 -.234 .020
M2.d. Trust in Traditional Authorities .350 .117 -.103 .157 .136 -.066 -.017 -.035 .695 .233 -.205 .312 .271 -.131 -.035 -.069
M2.e. Trust in group village headmen .370 .009 -.160 .152 .122 -.112 -.037 .028 .738 .018 -.319 .304 .244 -.224 -.075 .055
M2.f. Trust in village headmen .361 .041 -.165 .147 .111 -.096 -.055 -.046 .718 .081 -.328 .292 .221 -.191 -.110 -.091
M2.j. Trust in police .394 -.045 .003 .025 .091 .005 -.089 -.008 .785 -.090 .006 .050 .182 .011 -.177 -.017
M2.l. Trust in teachers .328 .036 -.033 -.109 .084 .109 .046 .036 .655 .072 -.066 -.218 .167 .217 .092 .072
M2.m.Trust in school administrators .307 .090 .057 -.204 .041 .059 .135 -.013 .613 .179 .113 -.407 .082 .118 .269 -.026
M2.n. Trust in religious leaders .241 .118 -.100 -.238 .056 .099 -.028 .035 .490 .240 -.204 -.482 .114 .201 -.058 .071
M3.a. Trust in family members .148 .009 .037 -.050 -.089 -.124 .183 .138 .356 .022 .088 -.120 -.214 -.299 .441 .334
M3.b. Trust in relatives .312 .118 .048 -.009 -.163 -.124 .044 -.086 .623 .235 .095 -.017 -.326 -.248 .087 -.172
M3.c. Trust in people in own village .388 .080 .078 -.022 -.070 -.029 -.028 -.016 .824 .169 .166 -.047 -.148 -.062 -.060 -.033
M3.d. Trust in people outside the village .302 -.002 .063 -.026 -.089 .047 -.011 .105 .730 -.005 .153 -.063 -.214 .113 -.026 .253
M3.e. Trust in people of same ethnic group .383 -.094 .019 .003 -.074 -.089 -.017 -.052 .805 -.198 .039 .007 -.155 -.188 -.036 -.108
M3.f. Trust in people outside ethnic group .339 -.012 .065 -.007 -.057 .066 -.030 .000 .776 -.026 .148 -.016 -.131 .150 -.069 .000
M3.g. Trust in people from same church/ mosque .380 .087 .028 .082 -.105 .083 -.049 -.074 .757 .174 .055 .164 -.210 .166 -.098 -.147
M3.h. Trust in people not from same church/ mosque .359 -.042 .063 .022 -.057 .058 -.016 .091 .787 -.091 .137 .049 -.126 .127 -.035 .200
Extraction Method: Principal Component Analysis.
a. 8 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 17, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 17 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8
K1a Lending money to family members -.067 .343 .085 -.044 -.027 .032 .012 .140 -.156 .798 .197 -.101 -.063 .073 .027 .326
K1b Lending money to relatives -.013 .348 .044 -.041 -.057 .052 .032 .081 -.028 .755 .094 -.089 -.124 .112 .070 .176
K1c Lending money to people in your own village .029 .270 .053 .007 .049 .106 .005 -.063 .075 .698 .137 .018 .126 .274 .013 -.164
K1d Lending money to people outside the village .020 .127 .063 -.015 .022 .088 -.013 -.024 .079 .489 .241 -.056 .086 .337 -.051 -.093
K1e Lending money to people from the same mosque/ church -.025 .188 .015 -.003 .007 .056 .037 -.030 -.083 .634 .049 -.010 .025 .188 .126 -.102
K2a Lending tools like axes, hoes etc. to family members -.144 .076 -.020 -.090 .076 .128 .106 .314 -.294 .155 -.040 -.183 .155 .261 .217 .641
K2b Lending tools like axes, hoes etc. to relatives outside the household -.079 .078 -.035 -.039 .036 .128 .175 .060 -.199 .197 -.089 -.099 .091 .322 .441 .150
K2c Lending tools like axes, hoes etc. to people in your own village -.117 .113 .030 .058 .065 .334 .120 .057 -.240 .231 .061 .118 .134 .682 .244 .116
K2d Lending tools like axes, hoes etc. to people outside the village -.038 .088 .034 .042 -.019 .328 -.023 .008 -.089 .207 .081 .100 -.044 .777 -.055 .018
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.087 .141 .037 -.031 .031 .263 .039 .049 -.199 .323 .085 -.071 .071 .602 .089 .111
L2 Participated in cooperative agricultural work .008 .039 .317 .110 .003 -.025 -.033 .058 .021 .101 .819 .285 .009 -.064 -.085 .150
L3.a. Participated last 12 months in cooperative work of preparing a garden .050 .034 .143 -.008 .030 .036 .002 -.029 .209 .143 .599 -.033 .124 .149 .009 -.123
L3.b. Participated last12 months in cooperative work of planting .022 .031 .166 .024 .019 .022 .035 -.018 .090 .131 .693 .100 .080 .093 .147 -.073
L3.d. Participated last 12 months in cooperative work of weeding .018 .015 .098 -.006 .012 .030 .011 .000 .093 .082 .522 -.034 .066 .161 .058 -.001
L3.e. Participated last 12 months in cooperative work of harvesting -.010 .005 .247 .120 -.012 -.030 -.072 .040 -.029 .013 .699 .340 -.034 -.085 -.204 .113
L3.f. Participated last 12 months in cooperative work of other agriculture work .030 .002 .084 .025 .008 -.008 .043 -.007 .162 .013 .449 .135 .042 -.040 .230 -.040
L6 Participation in other exchange work than agriculture -.022 .082 .059 .045 .059 .067 .362 .055 -.044 .166 .121 .092 .120 .136 .735 .111
L7 Participated in public works without payment during the last year -.019 -.010 .003 .077 .159 .004 .015 -.079 -.067 -.035 .011 .274 .567 .014 .054 -.281
L8.a. Participated in school project over the last 12 months .088 -.058 .080 .351 .055 .006 -.003 -.026 .186 -.121 .169 .737 .117 .012 -.007 -.054
L8.b. Participated in road project over the last 12 months .005 .013 .027 .041 .372 -.004 .110 .053 .010 .029 .059 .090 .816 -.009 .241 .116
L8.c. Participated in bridge project over the last 12 months -.107 -.103 .079 .057 .191 .002 -.039 .097 -.240 -.232 .178 .128 .429 .005 -.087 .217
L8.d. Participated in church project over the last 12 months -.069 .065 .195 .277 .005 -.070 .054 -.142 -.142 .134 .400 .568 .011 -.143 .110 -.291
L8.g. Participated in health centre project over the last 12 months -.085 -.113 -.005 .193 .042 .010 -.030 .171 -.219 -.291 -.013 .498 .109 .027 -.078 .442
L8.h. Participated in irrigation project over the last 12 months -.001 .017 .016 .133 .011 .039 -.032 -.021 -.002 .054 .053 .425 .034 .124 -.103 -.068
L8.i. Participated in borehole project over the last 12 months .046 -.092 .119 .355 .060 -.013 .081 .072 .094 -.188 .245 .730 .122 -.028 .167 .147
L8.k. Participated in graveyard clearing project over the last 12 months .019 .058 .044 -.009 .411 .076 -.012 .055 .040 .122 .092 -.018 .864 .160 -.024 .116
M1 Most people can be trusted (1) or you cannot be too careful (0) .310 -.086 .070 -.124 .088 .133 .072 .139 .618 -.171 .140 -.246 .175 .264 .142 .277
M2.d. Trust in Traditional Authorities .349 .236 -.084 .067 .020 -.046 -.014 -.064 .693 .469 -.167 .134 .039 -.091 -.027 -.127
M2.e. Trust in group village headmen .365 .166 -.176 .056 -.051 -.057 -.010 -.118 .729 .331 -.352 .113 -.102 -.113 -.019 -.236
M2.f. Trust in village headmen .363 .196 -.160 .041 -.039 -.073 -.028 -.048 .721 .390 -.318 .081 -.077 -.146 -.056 -.095
M2.j. Trust in police .390 -.008 -.044 .062 .022 -.061 -.094 -.054 .778 -.016 -.088 .124 .043 -.122 -.187 -.108
M2.l. Trust in teachers .311 -.002 .049 -.113 .114 -.011 -.075 -.117 .620 -.004 .098 -.225 .227 -.021 -.150 -.234
M2.m.Trust in school administrators .280 -.038 .122 -.142 .213 -.059 .036 -.074 .559 -.077 .244 -.284 .424 -.117 .072 -.148
M2.n. Trust in religious leaders .256 -.019 -.007 -.213 .169 .098 -.060 -.017 .520 -.039 -.014 -.433 .343 .199 -.122 -.034
M3.a. Trust in family members .118 -.059 .039 -.046 .008 -.034 .235 -.155 .284 -.142 .095 -.111 .019 -.082 .566 -.375
M3.b. Trust in relatives .315 .033 .078 -.019 -.004 -.085 .205 .095 .629 .066 .156 -.038 -.007 -.170 .408 .190
M3.c. Trust in people in own village .394 -.016 .083 .020 .031 -.026 .076 .026 .835 -.034 .176 .043 .066 -.056 .161 .054
M3.d. Trust in people outside the village .300 -.092 .099 -.008 -.036 .034 .034 -.074 .724 -.221 .239 -.020 -.087 .083 .081 -.178
M3.e. Trust in people of same ethnic group .370 -.075 -.021 .019 -.058 -.151 .054 .001 .778 -.157 -.044 .040 -.122 -.318 .114 .001
M3.f. Trust in people outside ethnic group .335 -.056 .101 .005 -.020 -.036 -.026 -.018 .765 -.129 .232 .012 -.045 -.083 -.059 -.040
M3.g. Trust in people from same church/ mosque .388 .070 .142 .007 -.070 -.031 -.018 .061 .773 .140 .283 .014 -.139 -.061 -.036 .121
M3.h. Trust in people not from same church/ mosque .349 -.077 .091 .027 -.058 -.006 -.008 -.100 .764 -.170 .199 .058 -.128 -.014 -.018 -.220
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 8 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - February 17, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 9 columns and 11 rows
Component 1 2 3 4 5 6 7 8
1 .972 -.002 .058 -.022 .016 -.172 .003 -.149
2 .105 .604 .256 -.071 .373 .505 .310 .252
3 -.027 -.394 .559 .636 .319 -.068 .129 .071
4 -.022 .555 .094 .566 -.572 -.093 -.060 -.150
5 -.051 .255 -.354 .278 .622 -.077 -.449 -.368
6 -.022 .024 .598 -.290 -.093 .188 -.708 -.107
7 -.201 .208 .351 -.321 .132 -.488 .376 -.542
8 .019 -.251 -.064 .072 -.134 .650 .199 -.668
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - February 17, 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: 0.0206
Component 2: 0.1014
Component 3: 0.8194 Component 1: 0.7725
Component 2: 0.1399
Component 3: 0.2831 Component 1: 0.0904
Component 2: 0.1314
Component 3: 0.6932 Component 1: 0.2089
Component 2: 0.1433
Component 3: 0.5987 Component 1: 0.8351
Component 2: -0.0341
Component 3: 0.1759 Component 1: 0.7648
Component 2: -0.1288
Component 3: 0.2316 Component 1: 0.7241
Component 2: -0.2207
Component 3: 0.2385 Component 1: 0.7644
Component 2: -0.1697
Component 3: 0.1992 Component 1: -0.0292
Component 2: 0.0130
Component 3: 0.6991 Component 1: 0.5594
Component 2: -0.0766
Component 3: 0.2442 Component 1: 0.6293
Component 2: 0.0664
Component 3: 0.1562 Component 1: 0.0935
Component 2: 0.0820
Component 3: 0.5217 Component 1: 0.1616
Component 2: 0.0127
Component 3: 0.4490 Component 1: 0.6181
Component 2: -0.1706
Component 3: 0.1398 Component 1: 0.6202
Component 2: -0.0040
Component 3: 0.0976 Component 1: 0.7776
Component 2: -0.1569
Component 3: -0.0444 Component 1: 0.7778
Component 2: -0.0162
Component 3: -0.0882 Component 1: 0.6934
Component 2: 0.4694
Component 3: -0.1669 Component 1: 0.0785
Component 2: 0.4889
Component 3: 0.2411 Component 1: 0.5203
Component 2: -0.0389
Component 3: -0.0144 Component 1: 0.0751
Component 2: 0.6983
Component 3: 0.1373 Component 1: -0.1422
Component 2: 0.1339
Component 3: 0.3998 Component 1: 0.1857
Component 2: -0.1213
Component 3: 0.1691 Component 1: 0.7212
Component 2: 0.3904
Component 3: -0.3184 Component 1: 0.0937
Component 2: -0.1881
Component 3: 0.2452 Component 1: 0.2841
Component 2: -0.1423
Component 3: 0.0946 Component 1: -0.1558
Component 2: 0.7982
Component 3: 0.1974 Component 1: -0.0283
Component 2: 0.7547
Component 3: 0.0943 Component 1: 0.7292
Component 2: 0.3310
Component 3: -0.3520 Component 1: 0.0396
Component 2: 0.1224
Component 3: 0.0922 Component 1: -0.0828
Component 2: 0.6340
Component 3: 0.0494 Component 1: -0.0443
Component 2: 0.1664
Component 3: 0.1206 Component 1: 0.0099
Component 2: 0.0288
Component 3: 0.0587 Component 1: -0.0888
Component 2: 0.2074
Component 3: 0.0810 Component 1: -0.0022
Component 2: 0.0543
Component 3: 0.0527 Component 1: -0.1986
Component 2: 0.3228
Component 3: 0.0851 Component 1: -0.2403
Component 2: -0.2317
Component 3: 0.1777 Component 1: -0.0668
Component 2: -0.0355
Component 3: 0.0107 Component 1: -0.2395
Component 2: 0.2307
Component 3: 0.0609 Component 1: -0.1987
Component 2: 0.1968
Component 3: -0.0889 Component 1: -0.2936
Component 2: 0.1548
Component 3: -0.0404 Component 1: -0.2189
Component 2: -0.2908
Component 3: -0.0126

Log
Log - Log - February 17, 2020

FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e 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 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(7) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - February 17, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 44 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .24 .430 83
K1b Lending money to relatives .30 .462 83
K1c Lending money to people in your own village .18 .387 83
K1d Lending money to people outside the village .07 .261 83
K1e Lending money to people from the same mosque/ church .10 .297 83
K2a Lending tools like axes, hoes etc. to family members .61 .490 83
K2b Lending tools like axes, hoes etc. to relatives outside the household .81 .397 83
K2c Lending tools like axes, hoes etc. to people in your own village .61 .490 83
K2d Lending tools like axes, hoes etc. to people outside the village .23 .423 83
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .25 .437 83
L2 Participated in cooperative agricultural work .18 .387 83
L3.a. Participated last 12 months in cooperative work of preparing a garden .06 .239 83
L3.b. Participated last12 months in cooperative work of planting .06 .239 83
L3.d. Participated last 12 months in cooperative work of weeding .04 .188 83
L3.e. Participated last 12 months in cooperative work of harvesting .14 .354 83
L3.f. Participated last 12 months in cooperative work of other agriculture work .04 .188 83
L6 Participation in other exchange work than agriculture .40 .492 83
L7 Participated in public works without payment during the last year .92 .280 83
L8.a. Participated in school project over the last 12 months .34 .476 83
L8.b. Participated in road project over the last 12 months .71 .456 83
L8.c. Participated in bridge project over the last 12 months .27 .444 83
L8.d. Participated in church project over the last 12 months .37 .487 83
L8.g. Participated in health centre project over the last 12 months .18 .387 83
L8.h. Participated in irrigation project over the last 12 months .11 .313 83
L8.i. Participated in borehole project over the last 12 months .37 .487 83
L8.k. Participated in graveyard clearing project over the last 12 months .66 .476 83
M1 Most people can be trusted (1) or you cannot be too careful (0) .47 .502 83
M2.d. Trust in Traditional Authorities .51 .503 83
M2.e. Trust in group village headmen .46 .501 83
M2.f. Trust in village headmen .51 .503 83
M2.j. Trust in police .46 .501 83
M2.l. Trust in teachers .54 .501 83
M2.m.Trust in school administrators .54 .501 83
M2.n. Trust in religious leaders .60 .492 83
M3.a. Trust in family members .78 .415 83
M3.b. Trust in relatives .46 .501 83
M3.c. Trust in people in own village .33 .471 83
M3.d. Trust in people outside the village .22 .415 83
M3.e. Trust in people of same ethnic group .34 .476 83
M3.f. Trust in people outside ethnic group .25 .437 83
M3.g. Trust in people from same church/ mosque .47 .502 83
M3.h. Trust in people not from same church/ mosque .29 .456 83
Factor Analysis
Factor Analysis - Communalities - February 17, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 46 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .185 .126 1.000 .683
K1b Lending money to relatives .213 .129 1.000 .604
K1c Lending money to people in your own village .150 .093 1.000 .622
K1d Lending money to people outside the village .068 .029 1.000 .425
K1e Lending money to people from the same mosque/ church .088 .042 1.000 .471
K2a Lending tools like axes, hoes etc. to family members .240 .146 1.000 .611
K2b Lending tools like axes, hoes etc. to relatives outside the household .158 .064 1.000 .408
K2c Lending tools like axes, hoes etc. to people in your own village .240 .136 1.000 .569
K2d Lending tools like axes, hoes etc. to people outside the village .179 .087 1.000 .485
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .191 .094 1.000 .491
L2 Participated in cooperative agricultural work .150 .112 1.000 .750
L3.a. Participated last 12 months in cooperative work of preparing a garden .057 .027 1.000 .468
L3.b. Participated last12 months in cooperative work of planting .057 .032 1.000 .554
L3.d. Participated last 12 months in cooperative work of weeding .035 .011 1.000 .319
L3.e. Participated last 12 months in cooperative work of harvesting .125 .079 1.000 .632
L3.f. Participated last 12 months in cooperative work of other agriculture work .035 .011 1.000 .303
L6 Participation in other exchange work than agriculture .242 .152 1.000 .628
L7 Participated in public works without payment during the last year .078 .036 1.000 .460
L8.a. Participated in school project over the last 12 months .226 .142 1.000 .628
L8.b. Participated in road project over the last 12 months .208 .151 1.000 .727
L8.c. Participated in bridge project over the last 12 months .197 .073 1.000 .371
L8.d. Participated in church project over the last 12 months .237 .149 1.000 .628
L8.g. Participated in health centre project over the last 12 months .150 .083 1.000 .554
L8.h. Participated in irrigation project over the last 12 months .098 .020 1.000 .205
L8.i. Participated in borehole project over the last 12 months .237 .166 1.000 .702
L8.k. Participated in graveyard clearing project over the last 12 months .226 .180 1.000 .794
M1 Most people can be trusted (1) or you cannot be too careful (0) .252 .173 1.000 .688
M2.d. Trust in Traditional Authorities .253 .195 1.000 .769
M2.e. Trust in group village headmen .251 .215 1.000 .854
M2.f. Trust in village headmen .253 .205 1.000 .812
M2.j. Trust in police .251 .174 1.000 .692
M2.l. Trust in teachers .251 .143 1.000 .569
M2.m.Trust in school administrators .251 .171 1.000 .679
M2.n. Trust in religious leaders .242 .152 1.000 .629
M3.a. Trust in family members .172 .082 1.000 .479
M3.b. Trust in relatives .251 .158 1.000 .628
M3.c. Trust in people in own village .222 .170 1.000 .767
M3.d. Trust in people outside the village .172 .106 1.000 .619
M3.e. Trust in people of same ethnic group .226 .170 1.000 .750
M3.f. Trust in people outside ethnic group .191 .128 1.000 .669
M3.g. Trust in people from same church/ mosque .252 .180 1.000 .714
M3.h. Trust in people not from same church/ mosque .208 .142 1.000 .682
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 17, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 89 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 1.938 24.931 24.931 1.938 24.931 24.931 1.852 23.825 23.825
2 .826 10.628 35.559 .826 10.628 35.559 .685 8.813 32.638
3 .707 9.100 44.659 .707 9.100 44.659 .470 6.052 38.690
4 .568 7.306 51.965 .568 7.306 51.965 .543 6.987 45.677
5 .339 4.356 56.322 .339 4.356 56.322 .506 6.513 52.190
6 .308 3.960 60.282 .308 3.960 60.282 .537 6.914 59.104
7 .250 3.217 63.499 .250 3.217 63.499 .342 4.395 63.499
8 .238 3.064 66.562            
9 .228 2.929 69.492            
10 .203 2.615 72.107            
11 .194 2.500 74.607            
12 .170 2.191 76.798            
13 .167 2.152 78.950            
14 .158 2.039 80.989            
15 .152 1.960 82.949            
16 .129 1.661 84.609            
17 .126 1.625 86.235            
18 .118 1.524 87.758            
19 .102 1.307 89.065            
20 .085 1.089 90.155            
21 .080 1.029 91.184            
22 .078 1.002 92.186            
23 .070 .897 93.083            
24 .067 .862 93.945            
25 .058 .747 94.693            
26 .050 .642 95.335            
27 .047 .610 95.944            
28 .046 .589 96.534            
29 .040 .516 97.049            
30 .036 .462 97.511            
31 .034 .436 97.947            
32 .030 .388 98.335            
33 .025 .328 98.663            
34 .022 .281 98.944            
35 .019 .239 99.183            
36 .017 .215 99.398            
37 .014 .183 99.581            
38 .012 .160 99.741            
39 .010 .124 99.865            
40 .006 .076 99.941            
41 .003 .038 99.978            
42 .002 .022 100.000            
Rescaled 1 1.938 24.931 24.931 8.557 20.375 20.375 8.100 19.286 19.286
2 .826 10.628 35.559 4.656 11.086 31.461 4.005 9.535 28.821
3 .707 9.100 44.659 4.008 9.543 41.004 3.569 8.497 37.318
4 .568 7.306 51.965 2.744 6.534 47.538 2.679 6.378 43.696
5 .339 4.356 56.322 1.807 4.302 51.840 2.557 6.088 49.784
6 .308 3.960 60.282 1.877 4.469 56.310 2.508 5.971 55.755
7 .250 3.217 63.499 1.440 3.430 59.739 1.673 3.984 59.739
8 .238 3.064 66.562            
9 .228 2.929 69.492            
10 .203 2.615 72.107            
11 .194 2.500 74.607            
12 .170 2.191 76.798            
13 .167 2.152 78.950            
14 .158 2.039 80.989            
15 .152 1.960 82.949            
16 .129 1.661 84.609            
17 .126 1.625 86.235            
18 .118 1.524 87.758            
19 .102 1.307 89.065            
20 .085 1.089 90.155            
21 .080 1.029 91.184            
22 .078 1.002 92.186            
23 .070 .897 93.083            
24 .067 .862 93.945            
25 .058 .747 94.693            
26 .050 .642 95.335            
27 .047 .610 95.944            
28 .046 .589 96.534            
29 .040 .516 97.049            
30 .036 .462 97.511            
31 .034 .436 97.947            
32 .030 .388 98.335            
33 .025 .328 98.663            
34 .022 .281 98.944            
35 .019 .239 99.183            
36 .017 .215 99.398            
37 .014 .183 99.581            
38 .012 .160 99.741            
39 .010 .124 99.865            
40 .006 .076 99.941            
41 .003 .038 99.978            
42 .002 .022 100.000            
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 17, 2020
Scree Plot Component Number: 42
Eigenvalue: 0.0017 Component Number: 41
Eigenvalue: 0.0029 Component Number: 40
Eigenvalue: 0.0059 Component Number: 39
Eigenvalue: 0.0096 Component Number: 38
Eigenvalue: 0.0124 Component Number: 37
Eigenvalue: 0.0142 Component Number: 36
Eigenvalue: 0.0167 Component Number: 35
Eigenvalue: 0.0185 Component Number: 34
Eigenvalue: 0.0218 Component Number: 33
Eigenvalue: 0.0255 Component Number: 32
Eigenvalue: 0.0302 Component Number: 31
Eigenvalue: 0.0339 Component Number: 30
Eigenvalue: 0.0359 Component Number: 29
Eigenvalue: 0.0401 Component Number: 28
Eigenvalue: 0.0458 Component Number: 27
Eigenvalue: 0.0474 Component Number: 26
Eigenvalue: 0.0499 Component Number: 25
Eigenvalue: 0.0581 Component Number: 24
Eigenvalue: 0.0670 Component Number: 23
Eigenvalue: 0.0697 Component Number: 22
Eigenvalue: 0.0779 Component Number: 21
Eigenvalue: 0.0800 Component Number: 20
Eigenvalue: 0.0847 Component Number: 19
Eigenvalue: 0.1016 Component Number: 18
Eigenvalue: 0.1184 Component Number: 17
Eigenvalue: 0.1263 Component Number: 16
Eigenvalue: 0.1291 Component Number: 15
Eigenvalue: 0.1523 Component Number: 14
Eigenvalue: 0.1584 Component Number: 13
Eigenvalue: 0.1673 Component Number: 12
Eigenvalue: 0.1703 Component Number: 11
Eigenvalue: 0.1943 Component Number: 10
Eigenvalue: 0.2033 Component Number: 9
Eigenvalue: 0.2277 Component Number: 8
Eigenvalue: 0.2381 Component Number: 7
Eigenvalue: 0.2500 Component Number: 6
Eigenvalue: 0.3078 Component Number: 5
Eigenvalue: 0.3386 Component Number: 4
Eigenvalue: 0.5678 Component Number: 3
Eigenvalue: 0.7072 Component Number: 2
Eigenvalue: 0.8260 Component Number: 1
Eigenvalue: 1.9376 Component Number: 41
Eigenvalue: 0.0029 Component Number: 40
Eigenvalue: 0.0059 Component Number: 39
Eigenvalue: 0.0096 Component Number: 38
Eigenvalue: 0.0124 Component Number: 37
Eigenvalue: 0.0142 Component Number: 36
Eigenvalue: 0.0167 Component Number: 35
Eigenvalue: 0.0185 Component Number: 34
Eigenvalue: 0.0218 Component Number: 33
Eigenvalue: 0.0255 Component Number: 32
Eigenvalue: 0.0302 Component Number: 31
Eigenvalue: 0.0339 Component Number: 30
Eigenvalue: 0.0359 Component Number: 29
Eigenvalue: 0.0401 Component Number: 28
Eigenvalue: 0.0458 Component Number: 27
Eigenvalue: 0.0474 Component Number: 26
Eigenvalue: 0.0499 Component Number: 25
Eigenvalue: 0.0581 Component Number: 24
Eigenvalue: 0.0670 Component Number: 23
Eigenvalue: 0.0697 Component Number: 22
Eigenvalue: 0.0779 Component Number: 21
Eigenvalue: 0.0800 Component Number: 20
Eigenvalue: 0.0847 Component Number: 19
Eigenvalue: 0.1016 Component Number: 18
Eigenvalue: 0.1184 Component Number: 17
Eigenvalue: 0.1263 Component Number: 16
Eigenvalue: 0.1291 Component Number: 15
Eigenvalue: 0.1523 Component Number: 14
Eigenvalue: 0.1584 Component Number: 13
Eigenvalue: 0.1673 Component Number: 12
Eigenvalue: 0.1703 Component Number: 11
Eigenvalue: 0.1943 Component Number: 10
Eigenvalue: 0.2033 Component Number: 9
Eigenvalue: 0.2277 Component Number: 8
Eigenvalue: 0.2381 Component Number: 7
Eigenvalue: 0.2500 Component Number: 6
Eigenvalue: 0.3078 Component Number: 5
Eigenvalue: 0.3386 Component Number: 4
Eigenvalue: 0.5678 Component Number: 3
Eigenvalue: 0.7072 Component Number: 2
Eigenvalue: 0.8260 Component Number: 1
Eigenvalue: 1.9376 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

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Factor Analysis
Factor Analysis - Component Matrix - February 17, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 15 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 1 2 3 4 5 6 7
K1a Lending money to family members -.087 .270 -.113 .166 -.027 .058 .038 -.201 .628 -.262 .386 -.063 .135 .089
K1b Lending money to relatives -.032 .259 -.150 .188 -.021 .030 .039 -.069 .560 -.326 .408 -.046 .065 .085
K1c Lending money to people in your own village .023 .237 -.068 .130 .094 .054 .058 .059 .612 -.177 .335 .243 .140 .149
K1d Lending money to people outside the village .012 .139 -.027 .051 .027 .071 .017 .048 .532 -.104 .197 .104 .272 .067
K1e Lending money to people from the same mosque/ church -.028 .150 -.066 .098 .038 .001 .054 -.095 .506 -.222 .329 .127 .004 .183
K2a Lending tools like axes, hoes etc. to family members -.206 .237 -.042 -.116 -.117 -.073 -.116 -.421 .483 -.087 -.237 -.239 -.149 -.237
K2b Lending tools like axes, hoes etc. to relatives outside the household -.108 .180 -.044 -.033 -.062 -.116 .008 -.272 .453 -.110 -.083 -.157 -.291 .021
K2c Lending tools like axes, hoes etc. to people in your own village -.178 .304 .030 .017 -.019 -.028 -.101 -.364 .620 .061 .034 -.039 -.056 -.206
K2d Lending tools like axes, hoes etc. to people outside the village -.093 .208 -.018 .057 -.005 .090 -.151 -.221 .492 -.043 .135 -.012 .214 -.358
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.134 .257 -.052 .014 -.018 .050 -.066 -.306 .587 -.118 .032 -.040 .115 -.152
L2 Participated in cooperative agricultural work .019 .091 .234 .107 -.075 .171 .051 .050 .235 .605 .278 -.193 .441 .132
L3.a. Participated last 12 months in cooperative work of preparing a garden .056 .086 .065 .011 -.021 .093 .053 .233 .357 .273 .046 -.088 .390 .222
L3.b. Participated last12 months in cooperative work of planting .029 .087 .103 .034 -.044 .072 .067 .122 .363 .429 .140 -.185 .301 .280
L3.d. Participated last 12 months in cooperative work of weeding .018 .060 .047 .003 -.033 .057 .027 .096 .319 .253 .018 -.175 .305 .144
L3.e. Participated last 12 months in cooperative work of harvesting .001 .024 .205 .102 -.040 .156 .016 .002 .069 .579 .289 -.113 .440 .044
L3.f. Participated last 12 months in cooperative work of other agriculture work .037 .035 .070 .018 -.035 .011 .041 .194 .187 .370 .094 -.186 .056 .217
L6 Participation in other exchange work than agriculture -.037 .241 .095 .007 -.137 -.230 .109 -.074 .489 .193 .014 -.279 -.467 .221
L7 Participated in public works without payment during the last year -.006 .033 .102 -.042 .139 -.037 .045 -.021 .119 .363 -.149 .498 -.131 .163
L8.a. Participated in school project over the last 12 months .087 -.014 .303 .144 .095 -.056 -.097 .182 -.029 .638 .303 .199 -.117 -.204
L8.b. Participated in road project over the last 12 months .004 .196 .173 -.194 .168 -.115 .062 .009 .430 .379 -.426 .368 -.251 .136
L8.c. Participated in bridge project over the last 12 months -.112 .027 .186 -.137 .067 .030 -.033 -.252 .061 .419 -.308 .152 .068 -.075
L8.d. Participated in church project over the last 12 months -.029 .010 .264 .234 .065 .003 .138 -.059 .021 .542 .481 .133 .006 .284
L8.g. Participated in health centre project over the last 12 months -.113 -.037 .187 -.001 .007 -.059 -.174 -.293 -.096 .484 -.002 .018 -.151 -.448
L8.h. Participated in irrigation project over the last 12 months -.006 .013 .082 .082 .061 .003 -.051 -.019 .042 .263 .262 .196 .010 -.164
L8.i. Participated in borehole project over the last 12 months .036 .014 .363 .112 .006 -.108 -.094 .075 .028 .745 .230 .012 -.222 -.194
L8.k. Participated in graveyard clearing project over the last 12 months .006 .251 .124 -.219 .231 .008 .009 .013 .527 .261 -.460 .485 .017 .020
M1 Most people can be trusted (1) or you cannot be too careful (0) .267 .164 .024 -.205 -.136 .020 -.117 .531 .327 .048 -.409 -.270 .041 -.234
M2.d. Trust in Traditional Authorities .350 .117 -.103 .157 .136 -.066 -.017 .695 .233 -.205 .312 .271 -.131 -.035
M2.e. Trust in group village headmen .370 .009 -.160 .152 .122 -.112 -.037 .738 .018 -.319 .304 .244 -.224 -.075
M2.f. Trust in village headmen .361 .041 -.165 .147 .111 -.096 -.055 .718 .081 -.328 .292 .221 -.191 -.110
M2.j. Trust in police .394 -.045 .003 .025 .091 .005 -.089 .785 -.090 .006 .050 .182 .011 -.177
M2.l. Trust in teachers .328 .036 -.033 -.109 .084 .109 .046 .655 .072 -.066 -.218 .167 .217 .092
M2.m.Trust in school administrators .307 .090 .057 -.204 .041 .059 .135 .613 .179 .113 -.407 .082 .118 .269
M2.n. Trust in religious leaders .241 .118 -.100 -.238 .056 .099 -.028 .490 .240 -.204 -.482 .114 .201 -.058
M3.a. Trust in family members .148 .009 .037 -.050 -.089 -.124 .183 .356 .022 .088 -.120 -.214 -.299 .441
M3.b. Trust in relatives .312 .118 .048 -.009 -.163 -.124 .044 .623 .235 .095 -.017 -.326 -.248 .087
M3.c. Trust in people in own village .388 .080 .078 -.022 -.070 -.029 -.028 .824 .169 .166 -.047 -.148 -.062 -.060
M3.d. Trust in people outside the village .302 -.002 .063 -.026 -.089 .047 -.011 .730 -.005 .153 -.063 -.214 .113 -.026
M3.e. Trust in people of same ethnic group .383 -.094 .019 .003 -.074 -.089 -.017 .805 -.198 .039 .007 -.155 -.188 -.036
M3.f. Trust in people outside ethnic group .339 -.012 .065 -.007 -.057 .066 -.030 .776 -.026 .148 -.016 -.131 .150 -.069
M3.g. Trust in people from same church/ mosque .380 .087 .028 .082 -.105 .083 -.049 .757 .174 .055 .164 -.210 .166 -.098
M3.h. Trust in people not from same church/ mosque .359 -.042 .063 .022 -.057 .058 -.016 .787 -.091 .137 .049 -.126 .127 -.035
Extraction Method: Principal Component Analysis.
a. 7 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 17, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 15 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 1 2 3 4 5 6 7
K1a Lending money to family members -.063 .323 .068 -.025 -.054 .095 .029 -.146 .751 .157 -.058 -.125 .221 .068
K1b Lending money to relatives -.010 .339 .029 -.029 -.074 .068 .041 -.022 .735 .062 -.062 -.161 .147 .090
K1c Lending money to people in your own village .030 .295 .049 .003 .055 .006 -.007 .076 .761 .128 .006 .142 .017 -.017
K1d Lending money to people outside the village .021 .148 .063 -.016 .026 .032 -.026 .080 .568 .240 -.060 .099 .123 -.099
K1e Lending money to people from the same mosque/ church -.024 .199 .011 -.005 .009 .006 .032 -.082 .671 .036 -.016 .032 .020 .108
K2a Lending tools like axes, hoes etc. to family members -.142 .067 -.029 -.053 .039 .329 .092 -.291 .137 -.060 -.108 .079 .671 .187
K2b Lending tools like axes, hoes etc. to relatives outside the household -.081 .101 -.036 -.032 .034 .150 .146 -.204 .253 -.091 -.082 .086 .379 .369
K2c Lending tools like axes, hoes etc. to people in your own village -.121 .186 .039 .066 .075 .271 .050 -.246 .380 .079 .135 .153 .553 .101
K2d Lending tools like axes, hoes etc. to people outside the village -.040 .165 .047 .047 -.004 .213 -.092 -.095 .389 .110 .111 -.008 .504 -.216
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.088 .196 .042 -.022 .035 .210 -.012 -.202 .447 .096 -.051 .079 .481 -.027
L2 Participated in cooperative agricultural work .011 .032 .313 .116 -.007 .005 -.013 .029 .082 .807 .298 -.018 .014 -.034
L3.a. Participated last 12 months in cooperative work of preparing a garden .050 .048 .144 -.011 .033 .002 -.002 .211 .201 .601 -.047 .139 .008 -.007
L3.b. Participated last12 months in cooperative work of planting .022 .042 .166 .021 .021 .002 .034 .092 .175 .692 .089 .090 .010 .143
L3.d. Participated last 12 months in cooperative work of weeding .018 .024 .098 -.006 .013 .021 .007 .095 .130 .523 -.033 .068 .112 .038
L3.e. Participated last 12 months in cooperative work of harvesting -.007 -.003 .245 .124 -.019 -.014 -.055 -.021 -.008 .693 .350 -.054 -.041 -.155
L3.f. Participated last 12 months in cooperative work of other agriculture work .030 .004 .083 .024 .009 -.007 .046 .162 .020 .445 .126 .047 -.039 .244
L6 Participation in other exchange work than agriculture -.025 .094 .054 .049 .057 .123 .345 -.051 .192 .109 .099 .117 .249 .701
L7 Participated in public works without payment during the last year -.020 .001 .007 .066 .169 -.049 .011 -.071 .004 .023 .237 .605 -.174 .041
L8.a. Participated in school project over the last 12 months .088 -.048 .085 .345 .067 -.037 -.004 .185 -.101 .180 .725 .140 -.079 -.007
L8.b. Participated in road project over the last 12 months .004 .006 .022 .044 .363 .064 .115 .009 .014 .049 .095 .795 .140 .252
L8.c. Participated in bridge project over the last 12 months -.106 -.109 .080 .066 .179 .078 -.035 -.238 -.245 .181 .148 .403 .176 -.080
L8.d. Participated in church project over the last 12 months -.069 .069 .195 .258 .023 -.171 .070 -.142 .142 .401 .529 .047 -.352 .144
L8.g. Participated in health centre project over the last 12 months -.084 -.126 -.004 .210 .026 .120 -.028 -.216 -.325 -.011 .543 .068 .310 -.073
L8.h. Participated in irrigation project over the last 12 months -.001 .029 .020 .130 .017 -.005 -.039 -.003 .092 .062 .417 .054 -.017 -.125
L8.i. Participated in borehole project over the last 12 months .045 -.095 .120 .359 .059 .032 .087 .093 -.196 .247 .737 .121 .066 .178
L8.k. Participated in graveyard clearing project over the last 12 months .020 .067 .042 -.003 .401 .107 -.018 .041 .142 .089 -.007 .844 .224 -.038
M1 Most people can be trusted (1) or you cannot be too careful (0) .309 -.066 .071 -.108 .077 .220 .046 .616 -.132 .142 -.215 .153 .439 .091
M2.d. Trust in Traditional Authorities .350 .221 -.094 .061 .021 -.102 .007 .696 .439 -.187 .122 .042 -.202 .014
M2.e. Trust in group village headmen .365 .155 -.182 .044 -.040 -.143 .004 .728 .310 -.363 .088 -.080 -.286 .009
M2.f. Trust in village headmen .364 .172 -.170 .037 -.039 -.108 -.005 .723 .342 -.339 .073 -.078 -.214 -.009
M2.j. Trust in police .391 -.019 -.045 .056 .027 -.094 -.078 .779 -.039 -.091 .111 .053 -.188 -.155
M2.l. Trust in teachers .311 .008 .051 -.126 .125 -.084 -.073 .620 .016 .101 -.251 .248 -.168 -.145
M2.m.Trust in school administrators .280 -.041 .120 -.153 .215 -.062 .049 .560 -.083 .240 -.304 .429 -.123 .098
M2.n. Trust in religious leaders .256 .004 -.004 -.214 .171 .076 -.081 .519 .009 -.007 -.434 .347 .155 -.164
M3.a. Trust in family members .114 -.043 .042 -.067 .029 -.094 .227 .274 -.104 .102 -.161 .071 -.227 .547
M3.b. Trust in relatives .316 .003 .066 -.011 -.019 .035 .228 .630 .006 .131 -.022 -.039 .070 .455
M3.c. Trust in people in own village .394 -.024 .078 .021 .028 .011 .085 .835 -.050 .166 .045 .059 .024 .180
M3.d. Trust in people outside the village .299 -.069 .105 -.017 -.022 -.018 .021 .720 -.167 .252 -.042 -.052 -.045 .051
M3.e. Trust in people of same ethnic group .370 -.110 -.027 .017 -.062 -.093 .085 .778 -.230 -.058 .035 -.130 -.195 .178
M3.f. Trust in people outside ethnic group .335 -.060 .101 .003 -.018 -.037 -.016 .766 -.138 .230 .006 -.041 -.086 -.036
M3.g. Trust in people from same church/ mosque .390 .054 .134 .014 -.081 .009 .001 .777 .108 .266 .028 -.161 .019 .002
M3.h. Trust in people not from same church/ mosque .348 -.063 .096 .015 -.042 -.076 -.011 .762 -.138 .210 .032 -.093 -.166 -.024
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 9 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - February 17, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 10 rows
Component 1 2 3 4 5 6 7
1 .972 -.028 .050 -.041 .027 -.218 .043
2 .105 .682 .241 -.038 .348 .535 .239
3 -.026 -.388 .569 .632 .324 .013 .143
4 -.018 .534 .079 .552 -.557 -.304 -.016
5 -.049 .257 -.348 .237 .655 -.381 -.425
6 -.013 .085 .614 -.292 -.086 -.025 -.722
7 -.201 .158 .334 -.388 .163 -.654 .467
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - February 17, 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: 0.0294
Component 2: 0.0817
Component 3: 0.8073 Component 1: 0.7775
Component 2: 0.1085
Component 3: 0.2664 Component 1: 0.0923
Component 2: 0.1749
Component 3: 0.6918 Component 1: 0.2107
Component 2: 0.2011
Component 3: 0.6014 Component 1: 0.8352
Component 2: -0.0501
Component 3: 0.1664 Component 1: 0.7662
Component 2: -0.1375
Component 3: 0.2304 Component 1: 0.7201
Component 2: -0.1665
Component 3: 0.2525 Component 1: 0.7622
Component 2: -0.1379
Component 3: 0.2096 Component 1: -0.0206
Component 2: -0.0075
Component 3: 0.6931 Component 1: 0.0950
Component 2: 0.1297
Component 3: 0.5232 Component 1: 0.5596
Component 2: -0.0825
Component 3: 0.2402 Component 1: 0.6301
Component 2: 0.0056
Component 3: 0.1307 Component 1: 0.1619
Component 2: 0.0198
Component 3: 0.4446 Component 1: 0.6162
Component 2: -0.1318
Component 3: 0.1418 Component 1: 0.6203
Component 2: 0.0158
Component 3: 0.1015 Component 1: 0.7791
Component 2: -0.0388
Component 3: -0.0905 Component 1: 0.7781
Component 2: -0.2304
Component 3: -0.0578 Component 1: 0.0797
Component 2: 0.5678
Component 3: 0.2402 Component 1: 0.6956
Component 2: 0.4388
Component 3: -0.1869 Component 1: 0.5191
Component 2: 0.0088
Component 3: -0.0071 Component 1: 0.0764
Component 2: 0.7609
Component 3: 0.1278 Component 1: -0.1418
Component 2: 0.1420
Component 3: 0.4007 Component 1: 0.1846
Component 2: -0.1015
Component 3: 0.1795 Component 1: 0.2744
Component 2: -0.1040
Component 3: 0.1019 Component 1: 0.0932
Component 2: -0.1956
Component 3: 0.2475 Component 1: 0.7232
Component 2: 0.3418
Component 3: -0.3386 Component 1: -0.1461
Component 2: 0.7511
Component 3: 0.1572 Component 1: 0.7282
Component 2: 0.3095
Component 3: -0.3633 Component 1: -0.0220
Component 2: 0.7350
Component 3: 0.0625 Component 1: 0.0411
Component 2: 0.1416
Component 3: 0.0886 Component 1: -0.0945
Component 2: 0.3892
Component 3: 0.1102 Component 1: -0.0821
Component 2: 0.6709
Component 3: 0.0361 Component 1: -0.0506
Component 2: 0.1918
Component 3: 0.1093 Component 1: -0.0028
Component 2: 0.0925
Component 3: 0.0625 Component 1: 0.0094
Component 2: 0.0136
Component 3: 0.0493 Component 1: -0.2018
Component 2: 0.4473
Component 3: 0.0959 Component 1: -0.2463
Component 2: 0.3799
Component 3: 0.0787 Component 1: -0.0707
Component 2: 0.0040
Component 3: 0.0235 Component 1: -0.2377
Component 2: -0.2450
Component 3: 0.1806 Component 1: -0.2044
Component 2: 0.2534
Component 3: -0.0910 Component 1: -0.2164
Component 2: -0.3252
Component 3: -0.0112 Component 1: -0.2909
Component 2: 0.1365
Component 3: -0.0597

Log
Log - Log - February 17, 2020

FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e 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 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(6) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - February 17, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 44 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .24 .430 83
K1b Lending money to relatives .30 .462 83
K1c Lending money to people in your own village .18 .387 83
K1d Lending money to people outside the village .07 .261 83
K1e Lending money to people from the same mosque/ church .10 .297 83
K2a Lending tools like axes, hoes etc. to family members .61 .490 83
K2b Lending tools like axes, hoes etc. to relatives outside the household .81 .397 83
K2c Lending tools like axes, hoes etc. to people in your own village .61 .490 83
K2d Lending tools like axes, hoes etc. to people outside the village .23 .423 83
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .25 .437 83
L2 Participated in cooperative agricultural work .18 .387 83
L3.a. Participated last 12 months in cooperative work of preparing a garden .06 .239 83
L3.b. Participated last12 months in cooperative work of planting .06 .239 83
L3.d. Participated last 12 months in cooperative work of weeding .04 .188 83
L3.e. Participated last 12 months in cooperative work of harvesting .14 .354 83
L3.f. Participated last 12 months in cooperative work of other agriculture work .04 .188 83
L6 Participation in other exchange work than agriculture .40 .492 83
L7 Participated in public works without payment during the last year .92 .280 83
L8.a. Participated in school project over the last 12 months .34 .476 83
L8.b. Participated in road project over the last 12 months .71 .456 83
L8.c. Participated in bridge project over the last 12 months .27 .444 83
L8.d. Participated in church project over the last 12 months .37 .487 83
L8.g. Participated in health centre project over the last 12 months .18 .387 83
L8.h. Participated in irrigation project over the last 12 months .11 .313 83
L8.i. Participated in borehole project over the last 12 months .37 .487 83
L8.k. Participated in graveyard clearing project over the last 12 months .66 .476 83
M1 Most people can be trusted (1) or you cannot be too careful (0) .47 .502 83
M2.d. Trust in Traditional Authorities .51 .503 83
M2.e. Trust in group village headmen .46 .501 83
M2.f. Trust in village headmen .51 .503 83
M2.j. Trust in police .46 .501 83
M2.l. Trust in teachers .54 .501 83
M2.m.Trust in school administrators .54 .501 83
M2.n. Trust in religious leaders .60 .492 83
M3.a. Trust in family members .78 .415 83
M3.b. Trust in relatives .46 .501 83
M3.c. Trust in people in own village .33 .471 83
M3.d. Trust in people outside the village .22 .415 83
M3.e. Trust in people of same ethnic group .34 .476 83
M3.f. Trust in people outside ethnic group .25 .437 83
M3.g. Trust in people from same church/ mosque .47 .502 83
M3.h. Trust in people not from same church/ mosque .29 .456 83
Factor Analysis
Factor Analysis - Communalities - February 17, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 46 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .185 .125 1.000 .675
K1b Lending money to relatives .213 .127 1.000 .597
K1c Lending money to people in your own village .150 .090 1.000 .600
K1d Lending money to people outside the village .068 .029 1.000 .420
K1e Lending money to people from the same mosque/ church .088 .039 1.000 .438
K2a Lending tools like axes, hoes etc. to family members .240 .133 1.000 .554
K2b Lending tools like axes, hoes etc. to relatives outside the household .158 .064 1.000 .408
K2c Lending tools like axes, hoes etc. to people in your own village .240 .126 1.000 .526
K2d Lending tools like axes, hoes etc. to people outside the village .179 .064 1.000 .357
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .191 .090 1.000 .468
L2 Participated in cooperative agricultural work .150 .110 1.000 .732
L3.a. Participated last 12 months in cooperative work of preparing a garden .057 .024 1.000 .419
L3.b. Participated last12 months in cooperative work of planting .057 .027 1.000 .476
L3.d. Participated last 12 months in cooperative work of weeding .035 .011 1.000 .299
L3.e. Participated last 12 months in cooperative work of harvesting .125 .079 1.000 .630
L3.f. Participated last 12 months in cooperative work of other agriculture work .035 .009 1.000 .256
L6 Participation in other exchange work than agriculture .242 .140 1.000 .579
L7 Participated in public works without payment during the last year .078 .034 1.000 .433
L8.a. Participated in school project over the last 12 months .226 .133 1.000 .586
L8.b. Participated in road project over the last 12 months .208 .147 1.000 .709
L8.c. Participated in bridge project over the last 12 months .197 .072 1.000 .365
L8.d. Participated in church project over the last 12 months .237 .130 1.000 .547
L8.g. Participated in health centre project over the last 12 months .150 .053 1.000 .353
L8.h. Participated in irrigation project over the last 12 months .098 .017 1.000 .178
L8.i. Participated in borehole project over the last 12 months .237 .157 1.000 .665
L8.k. Participated in graveyard clearing project over the last 12 months .226 .180 1.000 .793
M1 Most people can be trusted (1) or you cannot be too careful (0) .252 .160 1.000 .633
M2.d. Trust in Traditional Authorities .253 .194 1.000 .768
M2.e. Trust in group village headmen .251 .213 1.000 .848
M2.f. Trust in village headmen .253 .202 1.000 .800
M2.j. Trust in police .251 .166 1.000 .660
M2.l. Trust in teachers .251 .141 1.000 .561
M2.m.Trust in school administrators .251 .152 1.000 .607
M2.n. Trust in religious leaders .242 .152 1.000 .626
M3.a. Trust in family members .172 .049 1.000 .285
M3.b. Trust in relatives .251 .156 1.000 .621
M3.c. Trust in people in own village .222 .169 1.000 .763
M3.d. Trust in people outside the village .172 .106 1.000 .618
M3.e. Trust in people of same ethnic group .226 .169 1.000 .748
M3.f. Trust in people outside ethnic group .191 .127 1.000 .665
M3.g. Trust in people from same church/ mosque .252 .178 1.000 .704
M3.h. Trust in people not from same church/ mosque .208 .142 1.000 .680
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 17, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 89 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 1.938 24.931 24.931 1.938 24.931 24.931 1.905 24.515 24.515
2 .826 10.628 35.559 .826 10.628 35.559 .736 9.471 33.986
3 .707 9.100 44.659 .707 9.100 44.659 .486 6.251 40.237
4 .568 7.306 51.965 .568 7.306 51.965 .586 7.537 47.773
5 .339 4.356 56.322 .339 4.356 56.322 .529 6.810 54.583
6 .308 3.960 60.282 .308 3.960 60.282 .443 5.699 60.282
7 .250 3.217 63.499            
8 .238 3.064 66.562            
9 .228 2.929 69.492            
10 .203 2.615 72.107            
11 .194 2.500 74.607            
12 .170 2.191 76.798            
13 .167 2.152 78.950            
14 .158 2.039 80.989            
15 .152 1.960 82.949            
16 .129 1.661 84.609            
17 .126 1.625 86.235            
18 .118 1.524 87.758            
19 .102 1.307 89.065            
20 .085 1.089 90.155            
21 .080 1.029 91.184            
22 .078 1.002 92.186            
23 .070 .897 93.083            
24 .067 .862 93.945            
25 .058 .747 94.693            
26 .050 .642 95.335            
27 .047 .610 95.944            
28 .046 .589 96.534            
29 .040 .516 97.049            
30 .036 .462 97.511            
31 .034 .436 97.947            
32 .030 .388 98.335            
33 .025 .328 98.663            
34 .022 .281 98.944            
35 .019 .239 99.183            
36 .017 .215 99.398            
37 .014 .183 99.581            
38 .012 .160 99.741            
39 .010 .124 99.865            
40 .006 .076 99.941            
41 .003 .038 99.978            
42 .002 .022 100.000            
Rescaled 1 1.938 24.931 24.931 8.557 20.375 20.375 8.357 19.897 19.897
2 .826 10.628 35.559 4.656 11.086 31.461 4.304 10.247 30.145
3 .707 9.100 44.659 4.008 9.543 41.004 3.449 8.213 38.358
4 .568 7.306 51.965 2.744 6.534 47.538 2.870 6.834 45.192
5 .339 4.356 56.322 1.807 4.302 51.840 2.630 6.261 51.453
6 .308 3.960 60.282 1.877 4.469 56.310 2.040 4.856 56.310
7 .250 3.217 63.499            
8 .238 3.064 66.562            
9 .228 2.929 69.492            
10 .203 2.615 72.107            
11 .194 2.500 74.607            
12 .170 2.191 76.798            
13 .167 2.152 78.950            
14 .158 2.039 80.989            
15 .152 1.960 82.949            
16 .129 1.661 84.609            
17 .126 1.625 86.235            
18 .118 1.524 87.758            
19 .102 1.307 89.065            
20 .085 1.089 90.155            
21 .080 1.029 91.184            
22 .078 1.002 92.186            
23 .070 .897 93.083            
24 .067 .862 93.945            
25 .058 .747 94.693            
26 .050 .642 95.335            
27 .047 .610 95.944            
28 .046 .589 96.534            
29 .040 .516 97.049            
30 .036 .462 97.511            
31 .034 .436 97.947            
32 .030 .388 98.335            
33 .025 .328 98.663            
34 .022 .281 98.944            
35 .019 .239 99.183            
36 .017 .215 99.398            
37 .014 .183 99.581            
38 .012 .160 99.741            
39 .010 .124 99.865            
40 .006 .076 99.941            
41 .003 .038 99.978            
42 .002 .022 100.000            
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 17, 2020
Scree Plot Component Number: 42
Eigenvalue: 0.0017 Component Number: 41
Eigenvalue: 0.0029 Component Number: 40
Eigenvalue: 0.0059 Component Number: 39
Eigenvalue: 0.0096 Component Number: 38
Eigenvalue: 0.0124 Component Number: 37
Eigenvalue: 0.0142 Component Number: 36
Eigenvalue: 0.0167 Component Number: 35
Eigenvalue: 0.0185 Component Number: 34
Eigenvalue: 0.0218 Component Number: 33
Eigenvalue: 0.0255 Component Number: 32
Eigenvalue: 0.0302 Component Number: 31
Eigenvalue: 0.0339 Component Number: 30
Eigenvalue: 0.0359 Component Number: 29
Eigenvalue: 0.0401 Component Number: 28
Eigenvalue: 0.0458 Component Number: 27
Eigenvalue: 0.0474 Component Number: 26
Eigenvalue: 0.0499 Component Number: 25
Eigenvalue: 0.0581 Component Number: 24
Eigenvalue: 0.0670 Component Number: 23
Eigenvalue: 0.0697 Component Number: 22
Eigenvalue: 0.0779 Component Number: 21
Eigenvalue: 0.0800 Component Number: 20
Eigenvalue: 0.0847 Component Number: 19
Eigenvalue: 0.1016 Component Number: 18
Eigenvalue: 0.1184 Component Number: 17
Eigenvalue: 0.1263 Component Number: 16
Eigenvalue: 0.1291 Component Number: 15
Eigenvalue: 0.1523 Component Number: 14
Eigenvalue: 0.1584 Component Number: 13
Eigenvalue: 0.1673 Component Number: 12
Eigenvalue: 0.1703 Component Number: 11
Eigenvalue: 0.1943 Component Number: 10
Eigenvalue: 0.2033 Component Number: 9
Eigenvalue: 0.2277 Component Number: 8
Eigenvalue: 0.2381 Component Number: 7
Eigenvalue: 0.2500 Component Number: 6
Eigenvalue: 0.3078 Component Number: 5
Eigenvalue: 0.3386 Component Number: 4
Eigenvalue: 0.5678 Component Number: 3
Eigenvalue: 0.7072 Component Number: 2
Eigenvalue: 0.8260 Component Number: 1
Eigenvalue: 1.9376 Component Number: 41
Eigenvalue: 0.0029 Component Number: 40
Eigenvalue: 0.0059 Component Number: 39
Eigenvalue: 0.0096 Component Number: 38
Eigenvalue: 0.0124 Component Number: 37
Eigenvalue: 0.0142 Component Number: 36
Eigenvalue: 0.0167 Component Number: 35
Eigenvalue: 0.0185 Component Number: 34
Eigenvalue: 0.0218 Component Number: 33
Eigenvalue: 0.0255 Component Number: 32
Eigenvalue: 0.0302 Component Number: 31
Eigenvalue: 0.0339 Component Number: 30
Eigenvalue: 0.0359 Component Number: 29
Eigenvalue: 0.0401 Component Number: 28
Eigenvalue: 0.0458 Component Number: 27
Eigenvalue: 0.0474 Component Number: 26
Eigenvalue: 0.0499 Component Number: 25
Eigenvalue: 0.0581 Component Number: 24
Eigenvalue: 0.0670 Component Number: 23
Eigenvalue: 0.0697 Component Number: 22
Eigenvalue: 0.0779 Component Number: 21
Eigenvalue: 0.0800 Component Number: 20
Eigenvalue: 0.0847 Component Number: 19
Eigenvalue: 0.1016 Component Number: 18
Eigenvalue: 0.1184 Component Number: 17
Eigenvalue: 0.1263 Component Number: 16
Eigenvalue: 0.1291 Component Number: 15
Eigenvalue: 0.1523 Component Number: 14
Eigenvalue: 0.1584 Component Number: 13
Eigenvalue: 0.1673 Component Number: 12
Eigenvalue: 0.1703 Component Number: 11
Eigenvalue: 0.1943 Component Number: 10
Eigenvalue: 0.2033 Component Number: 9
Eigenvalue: 0.2277 Component Number: 8
Eigenvalue: 0.2381 Component Number: 7
Eigenvalue: 0.2500 Component Number: 6
Eigenvalue: 0.3078 Component Number: 5
Eigenvalue: 0.3386 Component Number: 4
Eigenvalue: 0.5678 Component Number: 3
Eigenvalue: 0.7072 Component Number: 2
Eigenvalue: 0.8260 Component Number: 1
Eigenvalue: 1.9376 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

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Factor Analysis
Factor Analysis - Component Matrix - February 17, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 13 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 1 2 3 4 5 6
K1a Lending money to family members -.087 .270 -.113 .166 -.027 .058 -.201 .628 -.262 .386 -.063 .135
K1b Lending money to relatives -.032 .259 -.150 .188 -.021 .030 -.069 .560 -.326 .408 -.046 .065
K1c Lending money to people in your own village .023 .237 -.068 .130 .094 .054 .059 .612 -.177 .335 .243 .140
K1d Lending money to people outside the village .012 .139 -.027 .051 .027 .071 .048 .532 -.104 .197 .104 .272
K1e Lending money to people from the same mosque/ church -.028 .150 -.066 .098 .038 .001 -.095 .506 -.222 .329 .127 .004
K2a Lending tools like axes, hoes etc. to family members -.206 .237 -.042 -.116 -.117 -.073 -.421 .483 -.087 -.237 -.239 -.149
K2b Lending tools like axes, hoes etc. to relatives outside the household -.108 .180 -.044 -.033 -.062 -.116 -.272 .453 -.110 -.083 -.157 -.291
K2c Lending tools like axes, hoes etc. to people in your own village -.178 .304 .030 .017 -.019 -.028 -.364 .620 .061 .034 -.039 -.056
K2d Lending tools like axes, hoes etc. to people outside the village -.093 .208 -.018 .057 -.005 .090 -.221 .492 -.043 .135 -.012 .214
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.134 .257 -.052 .014 -.018 .050 -.306 .587 -.118 .032 -.040 .115
L2 Participated in cooperative agricultural work .019 .091 .234 .107 -.075 .171 .050 .235 .605 .278 -.193 .441
L3.a. Participated last 12 months in cooperative work of preparing a garden .056 .086 .065 .011 -.021 .093 .233 .357 .273 .046 -.088 .390
L3.b. Participated last12 months in cooperative work of planting .029 .087 .103 .034 -.044 .072 .122 .363 .429 .140 -.185 .301
L3.d. Participated last 12 months in cooperative work of weeding .018 .060 .047 .003 -.033 .057 .096 .319 .253 .018 -.175 .305
L3.e. Participated last 12 months in cooperative work of harvesting .001 .024 .205 .102 -.040 .156 .002 .069 .579 .289 -.113 .440
L3.f. Participated last 12 months in cooperative work of other agriculture work .037 .035 .070 .018 -.035 .011 .194 .187 .370 .094 -.186 .056
L6 Participation in other exchange work than agriculture -.037 .241 .095 .007 -.137 -.230 -.074 .489 .193 .014 -.279 -.467
L7 Participated in public works without payment during the last year -.006 .033 .102 -.042 .139 -.037 -.021 .119 .363 -.149 .498 -.131
L8.a. Participated in school project over the last 12 months .087 -.014 .303 .144 .095 -.056 .182 -.029 .638 .303 .199 -.117
L8.b. Participated in road project over the last 12 months .004 .196 .173 -.194 .168 -.115 .009 .430 .379 -.426 .368 -.251
L8.c. Participated in bridge project over the last 12 months -.112 .027 .186 -.137 .067 .030 -.252 .061 .419 -.308 .152 .068
L8.d. Participated in church project over the last 12 months -.029 .010 .264 .234 .065 .003 -.059 .021 .542 .481 .133 .006
L8.g. Participated in health centre project over the last 12 months -.113 -.037 .187 -.001 .007 -.059 -.293 -.096 .484 -.002 .018 -.151
L8.h. Participated in irrigation project over the last 12 months -.006 .013 .082 .082 .061 .003 -.019 .042 .263 .262 .196 .010
L8.i. Participated in borehole project over the last 12 months .036 .014 .363 .112 .006 -.108 .075 .028 .745 .230 .012 -.222
L8.k. Participated in graveyard clearing project over the last 12 months .006 .251 .124 -.219 .231 .008 .013 .527 .261 -.460 .485 .017
M1 Most people can be trusted (1) or you cannot be too careful (0) .267 .164 .024 -.205 -.136 .020 .531 .327 .048 -.409 -.270 .041
M2.d. Trust in Traditional Authorities .350 .117 -.103 .157 .136 -.066 .695 .233 -.205 .312 .271 -.131
M2.e. Trust in group village headmen .370 .009 -.160 .152 .122 -.112 .738 .018 -.319 .304 .244 -.224
M2.f. Trust in village headmen .361 .041 -.165 .147 .111 -.096 .718 .081 -.328 .292 .221 -.191
M2.j. Trust in police .394 -.045 .003 .025 .091 .005 .785 -.090 .006 .050 .182 .011
M2.l. Trust in teachers .328 .036 -.033 -.109 .084 .109 .655 .072 -.066 -.218 .167 .217
M2.m.Trust in school administrators .307 .090 .057 -.204 .041 .059 .613 .179 .113 -.407 .082 .118
M2.n. Trust in religious leaders .241 .118 -.100 -.238 .056 .099 .490 .240 -.204 -.482 .114 .201
M3.a. Trust in family members .148 .009 .037 -.050 -.089 -.124 .356 .022 .088 -.120 -.214 -.299
M3.b. Trust in relatives .312 .118 .048 -.009 -.163 -.124 .623 .235 .095 -.017 -.326 -.248
M3.c. Trust in people in own village .388 .080 .078 -.022 -.070 -.029 .824 .169 .166 -.047 -.148 -.062
M3.d. Trust in people outside the village .302 -.002 .063 -.026 -.089 .047 .730 -.005 .153 -.063 -.214 .113
M3.e. Trust in people of same ethnic group .383 -.094 .019 .003 -.074 -.089 .805 -.198 .039 .007 -.155 -.188
M3.f. Trust in people outside ethnic group .339 -.012 .065 -.007 -.057 .066 .776 -.026 .148 -.016 -.131 .150
M3.g. Trust in people from same church/ mosque .380 .087 .028 .082 -.105 .083 .757 .174 .055 .164 -.210 .166
M3.h. Trust in people not from same church/ mosque .359 -.042 .063 .022 -.057 .058 .787 -.091 .137 .049 -.126 .127
Extraction Method: Principal Component Analysis.
a. 6 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 17, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 13 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 1 2 3 4 5 6
K1a Lending money to family members -.052 .336 .050 -.013 -.061 .057 -.121 .780 .116 -.031 -.141 .132
K1b Lending money to relatives .007 .342 .008 -.014 -.084 .054 .015 .741 .018 -.029 -.183 .116
K1c Lending money to people in your own village .049 .290 .020 .029 .042 -.018 .125 .750 .051 .075 .108 -.047
K1d Lending money to people outside the village .022 .155 .057 -.010 .024 -.016 .083 .594 .217 -.039 .093 -.061
K1e Lending money to people from the same mosque/ church -.006 .194 -.016 .018 -.003 .021 -.020 .653 -.053 .062 -.009 .070
K2a Lending tools like axes, hoes etc. to family members -.181 .130 .032 -.131 .069 .245 -.371 .266 .066 -.268 .141 .501
K2b Lending tools like axes, hoes etc. to relatives outside the household -.079 .119 -.030 -.047 .036 .198 -.200 .301 -.077 -.119 .091 .499
K2c Lending tools like axes, hoes etc. to people in your own village -.148 .239 .077 .009 .098 .179 -.302 .487 .157 .018 .199 .365
K2d Lending tools like axes, hoes etc. to people outside the village -.079 .214 .100 -.020 .026 .029 -.187 .506 .236 -.046 .061 .067
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.112 .239 .072 -.064 .052 .088 -.256 .548 .164 -.146 .118 .202
L2 Participated in cooperative agricultural work .005 .042 .298 .137 -.007 -.017 .014 .108 .770 .355 -.018 -.043
L3.a. Participated last 12 months in cooperative work of preparing a garden .051 .051 .133 .006 .030 -.011 .212 .214 .557 .024 .124 -.046
L3.b. Participated last12 months in cooperative work of planting .026 .043 .148 .044 .016 .022 .110 .181 .620 .184 .065 .090
L3.d. Participated last 12 months in cooperative work of weeding .015 .030 .095 .000 .013 .011 .080 .162 .508 -.001 .068 .056
L3.e. Participated last 12 months in cooperative work of harvesting -.016 .006 .238 .137 -.016 -.057 -.046 .016 .671 .387 -.046 -.160
L3.f. Participated last 12 months in cooperative work of other agriculture work .036 .000 .073 .038 .004 .032 .190 .002 .387 .202 .023 .171
L6 Participation in other exchange work than agriculture .003 .093 .026 .070 .043 .352 .006 .190 .054 .142 .088 .715
L7 Participated in public works without payment during the last year -.008 -.008 -.017 .087 .160 -.014 -.027 -.028 -.061 .311 .573 -.050
L8.a. Participated in school project over the last 12 months .084 -.055 .092 .329 .076 -.002 .176 -.116 .194 .691 .160 -.004
L8.b. Participated in road project over the last 12 months .011 .015 .008 .050 .358 .127 .024 .032 .018 .110 .785 .279
L8.c. Participated in bridge project over the last 12 months -.129 -.080 .098 .043 .193 .015 -.291 -.180 .220 .096 .435 .033
L8.d. Participated in church project over the last 12 months -.026 .032 .118 .337 -.007 -.025 -.054 .067 .242 .692 -.014 -.051
L8.g. Participated in health centre project over the last 12 months -.119 -.094 .046 .145 .056 .060 -.307 -.244 .120 .374 .145 .154
L8.h. Participated in irrigation project over the last 12 months -.004 .030 .023 .121 .022 -.029 -.014 .096 .074 .387 .070 -.093
L8.i. Participated in borehole project over the last 12 months .037 -.092 .135 .334 .072 .113 .076 -.188 .277 .687 .148 .231
L8.k. Participated in graveyard clearing project over the last 12 months .006 .095 .049 -.019 .408 .029 .013 .199 .103 -.039 .859 .062
M1 Most people can be trusted (1) or you cannot be too careful (0) .262 -.025 .153 -.185 .111 .143 .521 -.051 .305 -.369 .221 .285
M2.d. Trust in Traditional Authorities .377 .182 -.106 .073 .010 -.051 .749 .361 -.211 .146 .019 -.100
M2.e. Trust in group village headmen .395 .106 -.190 .053 -.052 -.068 .787 .211 -.380 .106 -.104 -.136
M2.f. Trust in village headmen .387 .130 -.170 .036 -.047 -.059 .769 .259 -.337 .071 -.094 -.117
M2.j. Trust in police .386 -.043 -.020 .036 .034 -.111 .770 -.087 -.039 .072 .068 -.222
M2.l. Trust in teachers .311 -.008 .051 -.111 .120 -.121 .621 -.016 .102 -.221 .239 -.241
M2.m.Trust in school administrators .290 -.057 .103 -.117 .202 -.011 .578 -.113 .205 -.233 .404 -.021
M2.n. Trust in religious leaders .229 .024 .038 -.247 .185 -.047 .465 .048 .077 -.501 .376 -.096
M3.a. Trust in family members .154 -.080 -.008 -.004 .000 .136 .372 -.193 -.019 -.010 .001 .329
M3.b. Trust in relatives .329 -.013 .070 -.007 -.024 .206 .655 -.027 .141 -.015 -.048 .410
M3.c. Trust in people in own village .388 -.034 .104 .005 .035 .074 .824 -.072 .221 .010 .074 .156
M3.d. Trust in people outside the village .290 -.077 .125 -.025 -.016 .003 .698 -.185 .302 -.060 -.038 .008
M3.e. Trust in people of same ethnic group .379 -.143 -.015 .016 -.064 .029 .796 -.301 -.031 .033 -.134 .060
M3.f. Trust in people outside ethnic group .324 -.070 .124 -.008 -.011 -.037 .742 -.160 .284 -.018 -.024 -.084
M3.g. Trust in people from same church/ mosque .379 .049 .163 -.004 -.071 -.003 .754 .097 .325 -.008 -.141 -.006
M3.h. Trust in people not from same church/ mosque .344 -.082 .111 .014 -.039 -.051 .754 -.180 .242 .030 -.086 -.113
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 17, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 7 columns and 9 rows
Component 1 2 3 4 5 6
1 .988 -.097 .070 -.029 .020 -.089
2 .085 .767 .273 -.093 .367 .433
3 -.050 -.368 .561 .638 .340 .157
4 .063 .451 -.022 .641 -.598 -.153
5 -.003 .200 -.431 .296 .623 -.546
6 -.099 .155 .648 -.291 -.057 -.677
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - February 17, 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: 0.7544
Component 2: 0.0973
Component 3: 0.3253 Component 1: 0.0137
Component 2: 0.1079
Component 3: 0.7698 Component 1: 0.8239
Component 2: -0.0719
Component 3: 0.2211 Component 1: 0.7418
Component 2: -0.1605
Component 3: 0.2838 Component 1: 0.6984
Component 2: -0.1849
Component 3: 0.3019 Component 1: 0.2117
Component 2: 0.2141
Component 3: 0.5569 Component 1: 0.1102
Component 2: 0.1814
Component 3: 0.6201 Component 1: 0.7537
Component 2: -0.1799
Component 3: 0.2424 Component 1: 0.5211
Component 2: -0.0505
Component 3: 0.3048 Component 1: -0.0463
Component 2: 0.0158
Component 3: 0.6713 Component 1: 0.0804
Component 2: 0.1621
Component 3: 0.5080 Component 1: 0.6554
Component 2: -0.0265
Component 3: 0.1406 Component 1: 0.5784
Component 2: -0.1127
Component 3: 0.2051 Component 1: 0.6210
Component 2: -0.0156
Component 3: 0.1018 Component 1: 0.1904
Component 2: 0.0021
Component 3: 0.3867 Component 1: 0.7695
Component 2: -0.0866
Component 3: -0.0390 Component 1: 0.7963
Component 2: -0.3011
Component 3: -0.0308 Component 1: 0.4645
Component 2: 0.0479
Component 3: 0.0766 Component 1: 0.0829
Component 2: 0.5936
Component 3: 0.2171 Component 1: 0.7489
Component 2: 0.3612
Component 3: -0.2114 Component 1: 0.1253
Component 2: 0.7496
Component 3: 0.0506 Component 1: 0.1760
Component 2: -0.1165
Component 3: 0.1942 Component 1: 0.0757
Component 2: -0.1883
Component 3: 0.2769 Component 1: 0.7688
Component 2: 0.2594
Component 3: -0.3374 Component 1: -0.0542
Component 2: 0.0666
Component 3: 0.2420 Component 1: 0.7871
Component 2: 0.2105
Component 3: -0.3795 Component 1: -0.1871
Component 2: 0.5063
Component 3: 0.2357 Component 1: 0.3723
Component 2: -0.1930
Component 3: -0.0185 Component 1: -0.1214
Component 2: 0.7799
Component 3: 0.1162 Component 1: 0.0152
Component 2: 0.7407
Component 3: 0.0180 Component 1: 0.0125
Component 2: 0.1992
Component 3: 0.1034 Component 1: -0.2555
Component 2: 0.5475
Component 3: 0.1638 Component 1: 0.0065
Component 2: 0.1898
Component 3: 0.0536 Component 1: -0.0138
Component 2: 0.0962
Component 3: 0.0739 Component 1: -0.0199
Component 2: 0.6526
Component 3: -0.0528 Component 1: -0.3019
Component 2: 0.4871
Component 3: 0.1574 Component 1: 0.0236
Component 2: 0.0325
Component 3: 0.0184 Component 1: -0.2914
Component 2: -0.1805
Component 3: 0.2201 Component 1: -0.0269
Component 2: -0.0281
Component 3: -0.0609 Component 1: -0.3706
Component 2: 0.2656
Component 3: 0.0656 Component 1: -0.3070
Component 2: -0.2440
Component 3: 0.1195 Component 1: -0.2002
Component 2: 0.3009
Component 3: -0.0767