IBM SPSS Web Report - 42 binary variables 224 cases varimax rotated 8 factors.spv   


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Log
Log - Log - February 11, 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 FSCORE
  /PLOT EIGEN ROTATION
  /CRITERIA FACTORS(8) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - February 11, 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 .44 .497 224
K1b Lending money to relatives .48 .501 224
K1c Lending money to people in your own village .38 .487 224
K1d Lending money to people outside the village .15 .355 224
K1e Lending money to people from the same mosque/ church .15 .360 224
K2a Lending tools like axes, hoes etc. to family members .71 .453 224
K2b Lending tools like axes, hoes etc. to relatives outside the household .77 .423 224
K2c Lending tools like axes, hoes etc. to people in your own village .65 .477 224
K2d Lending tools like axes, hoes etc. to people outside the village .24 .429 224
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .27 .446 224
L2 Participated in cooperative agricultural work .39 .489 224
L3.a. Participated last 12 months in cooperative work of preparing a garden .21 .405 224
L3.b. Participated last12 months in cooperative work of planting .07 .251 224
L3.d. Participated last 12 months in cooperative work of weeding .17 .372 224
L3.e. Participated last 12 months in cooperative work of harvesting .20 .398 224
L3.f. Participated last 12 months in cooperative work of other agriculture work .15 .355 224
L6 Participation in other exchange work than agriculture .52 .501 224
L7 Participated in public works without payment during the last year .79 .408 224
L8.a. Participated in school project over the last 12 months .49 .501 224
L8.b. Participated in road project over the last 12 months .53 .500 224
L8.c. Participated in bridge project over the last 12 months .27 .446 224
L8.d. Participated in church project over the last 12 months .27 .444 224
L8.g. Participated in health centre project over the last 12 months .14 .351 224
L8.h. Participated in irrigation project over the last 12 months .12 .326 224
L8.i. Participated in borehole project over the last 12 months .28 .451 224
L8.k. Participated in graveyard clearing project over the last 12 months .42 .494 224
M1 Most people can be trusted (1) or you cannot be too careful (0) .44 .498 224
M2.d. Trust in Traditional Authorities .59 .492 224
M2.e. Trust in group village headmen .55 .499 224
M2.f. Trust in village headmen .58 .495 224
M2.j. Trust in police .55 .498 224
M2.l. Trust in teachers .59 .493 224
M2.m.Trust in school administrators .58 .495 224
M2.n. Trust in religious leaders .66 .476 224
M3.a. Trust in family members .81 .391 224
M3.b. Trust in relatives .60 .490 224
M3.c. Trust in people in own village .40 .490 224
M3.d. Trust in people outside the village .22 .414 224
M3.e. Trust in people of same ethnic group .33 .471 224
M3.f. Trust in people outside ethnic group .21 .411 224
M3.g. Trust in people from same church/ mosque .50 .501 224
M3.h. Trust in people not from same church/ mosque .28 .451 224
Factor Analysis
Factor Analysis - Communalities - February 11, 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 .247 .174 1.000 .702
K1b Lending money to relatives .251 .186 1.000 .740
K1c Lending money to people in your own village .238 .154 1.000 .649
K1d Lending money to people outside the village .126 .039 1.000 .311
K1e Lending money to people from the same mosque/ church .129 .041 1.000 .319
K2a Lending tools like axes, hoes etc. to family members .205 .102 1.000 .498
K2b Lending tools like axes, hoes etc. to relatives outside the household .179 .093 1.000 .519
K2c Lending tools like axes, hoes etc. to people in your own village .228 .136 1.000 .595
K2d Lending tools like axes, hoes etc. to people outside the village .184 .112 1.000 .609
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .199 .129 1.000 .650
L2 Participated in cooperative agricultural work .240 .191 1.000 .799
L3.a. Participated last 12 months in cooperative work of preparing a garden .164 .080 1.000 .487
L3.b. Participated last12 months in cooperative work of planting .063 .016 1.000 .256
L3.d. Participated last 12 months in cooperative work of weeding .139 .071 1.000 .514
L3.e. Participated last 12 months in cooperative work of harvesting .159 .087 1.000 .549
L3.f. Participated last 12 months in cooperative work of other agriculture work .126 .057 1.000 .455
L6 Participation in other exchange work than agriculture .251 .124 1.000 .494
L7 Participated in public works without payment during the last year .167 .123 1.000 .737
L8.a. Participated in school project over the last 12 months .251 .152 1.000 .604
L8.b. Participated in road project over the last 12 months .250 .180 1.000 .720
L8.c. Participated in bridge project over the last 12 months .199 .078 1.000 .392
L8.d. Participated in church project over the last 12 months .197 .107 1.000 .543
L8.g. Participated in health centre project over the last 12 months .123 .041 1.000 .330
L8.h. Participated in irrigation project over the last 12 months .106 .028 1.000 .268
L8.i. Participated in borehole project over the last 12 months .203 .102 1.000 .504
L8.k. Participated in graveyard clearing project over the last 12 months .244 .177 1.000 .728
M1 Most people can be trusted (1) or you cannot be too careful (0) .248 .165 1.000 .665
M2.d. Trust in Traditional Authorities .242 .164 1.000 .675
M2.e. Trust in group village headmen .249 .201 1.000 .807
M2.f. Trust in village headmen .245 .174 1.000 .710
M2.j. Trust in police .248 .132 1.000 .530
M2.l. Trust in teachers .243 .159 1.000 .652
M2.m.Trust in school administrators .245 .184 1.000 .753
M2.n. Trust in religious leaders .227 .125 1.000 .553
M3.a. Trust in family members .153 .063 1.000 .411
M3.b. Trust in relatives .241 .142 1.000 .589
M3.c. Trust in people in own village .241 .152 1.000 .632
M3.d. Trust in people outside the village .172 .101 1.000 .589
M3.e. Trust in people of same ethnic group .222 .154 1.000 .691
M3.f. Trust in people outside ethnic group .169 .110 1.000 .653
M3.g. Trust in people from same church/ mosque .251 .137 1.000 .547
M3.h. Trust in people not from same church/ mosque .203 .129 1.000 .637
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 11, 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 1.539 18.184 18.184 1.539 18.184 18.184 .984 11.631 11.631
2 1.047 12.372 30.557 1.047 12.372 30.557 .627 7.414 19.044
3 .689 8.136 38.693 .689 8.136 38.693 .751 8.871 27.915
4 .478 5.643 44.335 .478 5.643 44.335 .651 7.687 35.602
5 .408 4.826 49.161 .408 4.826 49.161 .662 7.821 43.423
6 .362 4.274 53.435 .362 4.274 53.435 .524 6.191 49.614
7 .294 3.478 56.913 .294 3.478 56.913 .493 5.823 55.437
8 .255 3.019 59.932 .255 3.019 59.932 .380 4.495 59.932
9 .244 2.882 62.814            
10 .229 2.707 65.521            
11 .206 2.439 67.960            
12 .198 2.339 70.299            
13 .171 2.018 72.316            
14 .163 1.929 74.245            
15 .152 1.796 76.041            
16 .135 1.594 77.636            
17 .132 1.558 79.194            
18 .127 1.506 80.700            
19 .125 1.478 82.178            
20 .110 1.299 83.478            
21 .105 1.243 84.721            
22 .103 1.219 85.940            
23 .101 1.190 87.130            
24 .095 1.124 88.254            
25 .089 1.052 89.305            
26 .087 1.033 90.338            
27 .079 .930 91.268            
28 .076 .897 92.165            
29 .067 .790 92.955            
30 .065 .771 93.726            
31 .060 .712 94.438            
32 .057 .678 95.116            
33 .056 .667 95.783            
34 .055 .647 96.430            
35 .050 .585 97.015            
36 .046 .543 97.559            
37 .044 .524 98.083            
38 .041 .485 98.568            
39 .034 .399 98.966            
40 .033 .387 99.353            
41 .030 .352 99.705            
42 .025 .295 100.000            
Rescaled 1 1.539 18.184 18.184 6.953 16.555 16.555 4.658 11.090 11.090
2 1.047 12.372 30.557 5.056 12.039 28.594 3.427 8.160 19.250
3 .689 8.136 38.693 3.454 8.225 36.819 3.414 8.130 27.380
4 .478 5.643 44.335 2.411 5.742 42.560 3.281 7.813 35.193
5 .408 4.826 49.161 1.948 4.638 47.198 2.819 6.713 41.906
6 .362 4.274 53.435 1.733 4.126 51.325 2.672 6.362 48.267
7 .294 3.478 56.913 1.352 3.219 54.544 2.161 5.146 53.413
8 .255 3.019 59.932 1.160 2.761 57.305 1.635 3.892 57.305
9 .244 2.882 62.814            
10 .229 2.707 65.521            
11 .206 2.439 67.960            
12 .198 2.339 70.299            
13 .171 2.018 72.316            
14 .163 1.929 74.245            
15 .152 1.796 76.041            
16 .135 1.594 77.636            
17 .132 1.558 79.194            
18 .127 1.506 80.700            
19 .125 1.478 82.178            
20 .110 1.299 83.478            
21 .105 1.243 84.721            
22 .103 1.219 85.940            
23 .101 1.190 87.130            
24 .095 1.124 88.254            
25 .089 1.052 89.305            
26 .087 1.033 90.338            
27 .079 .930 91.268            
28 .076 .897 92.165            
29 .067 .790 92.955            
30 .065 .771 93.726            
31 .060 .712 94.438            
32 .057 .678 95.116            
33 .056 .667 95.783            
34 .055 .647 96.430            
35 .050 .585 97.015            
36 .046 .543 97.559            
37 .044 .524 98.083            
38 .041 .485 98.568            
39 .034 .399 98.966            
40 .033 .387 99.353            
41 .030 .352 99.705            
42 .025 .295 100.000            
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 11, 2020
Scree Plot Component Number: 42
Eigenvalue: 0.0250 Component Number: 41
Eigenvalue: 0.0298 Component Number: 40
Eigenvalue: 0.0327 Component Number: 39
Eigenvalue: 0.0337 Component Number: 38
Eigenvalue: 0.0410 Component Number: 37
Eigenvalue: 0.0444 Component Number: 36
Eigenvalue: 0.0460 Component Number: 35
Eigenvalue: 0.0495 Component Number: 34
Eigenvalue: 0.0548 Component Number: 33
Eigenvalue: 0.0565 Component Number: 32
Eigenvalue: 0.0574 Component Number: 31
Eigenvalue: 0.0602 Component Number: 30
Eigenvalue: 0.0653 Component Number: 29
Eigenvalue: 0.0668 Component Number: 28
Eigenvalue: 0.0759 Component Number: 27
Eigenvalue: 0.0787 Component Number: 26
Eigenvalue: 0.0874 Component Number: 25
Eigenvalue: 0.0890 Component Number: 24
Eigenvalue: 0.0951 Component Number: 23
Eigenvalue: 0.1007 Component Number: 22
Eigenvalue: 0.1032 Component Number: 21
Eigenvalue: 0.1052 Component Number: 20
Eigenvalue: 0.1100 Component Number: 19
Eigenvalue: 0.1251 Component Number: 18
Eigenvalue: 0.1275 Component Number: 17
Eigenvalue: 0.1319 Component Number: 16
Eigenvalue: 0.1349 Component Number: 15
Eigenvalue: 0.1520 Component Number: 14
Eigenvalue: 0.1633 Component Number: 13
Eigenvalue: 0.1708 Component Number: 12
Eigenvalue: 0.1979 Component Number: 11
Eigenvalue: 0.2064 Component Number: 10
Eigenvalue: 0.2291 Component Number: 9
Eigenvalue: 0.2439 Component Number: 8
Eigenvalue: 0.2555 Component Number: 7
Eigenvalue: 0.2943 Component Number: 6
Eigenvalue: 0.3617 Component Number: 5
Eigenvalue: 0.4084 Component Number: 4
Eigenvalue: 0.4776 Component Number: 3
Eigenvalue: 0.6886 Component Number: 2
Eigenvalue: 1.0471 Component Number: 1
Eigenvalue: 1.5390 Component Number: 41
Eigenvalue: 0.0298 Component Number: 40
Eigenvalue: 0.0327 Component Number: 39
Eigenvalue: 0.0337 Component Number: 38
Eigenvalue: 0.0410 Component Number: 37
Eigenvalue: 0.0444 Component Number: 36
Eigenvalue: 0.0460 Component Number: 35
Eigenvalue: 0.0495 Component Number: 34
Eigenvalue: 0.0548 Component Number: 33
Eigenvalue: 0.0565 Component Number: 32
Eigenvalue: 0.0574 Component Number: 31
Eigenvalue: 0.0602 Component Number: 30
Eigenvalue: 0.0653 Component Number: 29
Eigenvalue: 0.0668 Component Number: 28
Eigenvalue: 0.0759 Component Number: 27
Eigenvalue: 0.0787 Component Number: 26
Eigenvalue: 0.0874 Component Number: 25
Eigenvalue: 0.0890 Component Number: 24
Eigenvalue: 0.0951 Component Number: 23
Eigenvalue: 0.1007 Component Number: 22
Eigenvalue: 0.1032 Component Number: 21
Eigenvalue: 0.1052 Component Number: 20
Eigenvalue: 0.1100 Component Number: 19
Eigenvalue: 0.1251 Component Number: 18
Eigenvalue: 0.1275 Component Number: 17
Eigenvalue: 0.1319 Component Number: 16
Eigenvalue: 0.1349 Component Number: 15
Eigenvalue: 0.1520 Component Number: 14
Eigenvalue: 0.1633 Component Number: 13
Eigenvalue: 0.1708 Component Number: 12
Eigenvalue: 0.1979 Component Number: 11
Eigenvalue: 0.2064 Component Number: 10
Eigenvalue: 0.2291 Component Number: 9
Eigenvalue: 0.2439 Component Number: 8
Eigenvalue: 0.2555 Component Number: 7
Eigenvalue: 0.2943 Component Number: 6
Eigenvalue: 0.3617 Component Number: 5
Eigenvalue: 0.4084 Component Number: 4
Eigenvalue: 0.4776 Component Number: 3
Eigenvalue: 0.6886 Component Number: 2
Eigenvalue: 1.0471 Component Number: 1
Eigenvalue: 1.5390 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 11, 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 .067 .342 .032 -.118 -.066 .177 -.038 -.010 .134 .688 .064 -.237 -.133 .356 -.077 -.021
K1b Lending money to relatives .098 .358 .015 -.092 -.047 .185 -.054 -.004 .196 .714 .031 -.184 -.093 .369 -.108 -.009
K1c Lending money to people in your own village .135 .329 .059 -.061 .019 .141 .009 -.016 .276 .675 .121 -.124 .038 .290 .019 -.032
K1d Lending money to people outside the village .058 .157 .103 -.003 .000 .014 .016 -.014 .163 .441 .290 -.007 -.001 .039 .046 -.040
K1e Lending money to people from the same mosque/ church .042 .152 .092 -.068 .008 .038 -.008 .042 .117 .422 .256 -.188 .022 .106 -.022 .118
K2a Lending tools like axes, hoes etc. to family members -.015 .255 .084 -.049 -.115 -.110 .001 -.045 -.032 .563 .186 -.109 -.254 -.243 .002 -.099
K2b Lending tools like axes, hoes etc. to relatives outside the household -.010 .198 .104 -.043 -.115 -.155 -.026 -.054 -.023 .468 .247 -.101 -.272 -.367 -.062 -.128
K2c Lending tools like axes, hoes etc. to people in your own village -.045 .212 .200 -.092 -.048 -.163 -.099 -.041 -.095 .444 .418 -.193 -.101 -.341 -.207 -.086
K2d Lending tools like axes, hoes etc. to people outside the village .008 .082 .200 -.140 -.001 -.186 -.097 .035 .018 .192 .467 -.327 -.002 -.435 -.225 .082
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.034 .073 .239 -.132 -.019 -.158 -.150 .027 -.076 .163 .536 -.296 -.043 -.353 -.336 .060
L2 Participated in cooperative agricultural work .138 .258 .070 .202 .220 -.071 .068 .042 .281 .527 .143 .413 .450 -.144 .140 .085
L3.a. Participated last 12 months in cooperative work of preparing a garden .117 .152 .046 .111 .141 -.039 .066 .055 .289 .374 .113 .274 .348 -.096 .163 .137
L3.b. Participated last12 months in cooperative work of planting .025 .045 .063 .084 .044 .005 -.005 -.020 .101 .178 .252 .335 .176 .019 -.021 -.081
L3.d. Participated last 12 months in cooperative work of weeding .084 .147 .098 .051 .140 -.063 .082 .003 .225 .395 .264 .137 .376 -.171 .221 .008
L3.e. Participated last 12 months in cooperative work of harvesting .086 .154 .036 .185 .129 -.034 .039 -.033 .216 .386 .090 .465 .325 -.086 .097 -.082
L3.f. Participated last 12 months in cooperative work of other agriculture work .125 .156 -.038 .124 -.003 -.009 .013 -.009 .353 .441 -.106 .350 -.008 -.027 .037 -.024
L6 Participation in other exchange work than agriculture .055 .277 .094 .060 -.035 .062 .083 .140 .110 .553 .187 .119 -.071 .124 .166 .280
L7 Participated in public works without payment during the last year -.165 -.209 .179 -.113 .044 .051 .051 .021 -.403 -.512 .437 -.276 .108 .124 .125 .051
L8.a. Participated in school project over the last 12 months -.089 -.097 .272 -.045 .188 .151 -.003 .009 -.177 -.194 .544 -.089 .375 .301 -.006 .019
L8.b. Participated in road project over the last 12 months -.142 -.128 .331 -.009 -.136 .056 .109 .013 -.284 -.256 .663 -.018 -.273 .111 .218 .025
L8.c. Participated in bridge project over the last 12 months -.083 -.064 .212 .039 .081 -.023 .114 -.021 -.186 -.143 .476 .087 .181 -.052 .256 -.047
L8.d. Participated in church project over the last 12 months -.059 -.108 .233 .077 .105 .080 -.100 -.061 -.133 -.244 .526 .174 .237 .180 -.226 -.138
L8.g. Participated in health centre project over the last 12 months -.090 -.033 .147 .056 .010 .004 -.021 .079 -.257 -.094 .418 .159 .028 .010 -.060 .224
L8.h. Participated in irrigation project over the last 12 months -.032 -.005 .110 .043 .060 .099 -.005 -.016 -.099 -.014 .336 .131 .184 .302 -.014 -.049
L8.i. Participated in borehole project over the last 12 months -.064 -.155 .185 .101 .048 .120 -.093 -.067 -.143 -.343 .410 .224 .107 .266 -.207 -.150
L8.k. Participated in graveyard clearing project over the last 12 months -.159 -.114 .192 -.028 -.229 .084 .180 .100 -.321 -.230 .389 -.057 -.463 .170 .364 .202
M1 Most people can be trusted (1) or you cannot be too careful (0) .235 .048 .053 .163 -.200 -.010 .141 .133 .473 .097 .107 .327 -.402 -.020 .284 .268
M2.d. Trust in Traditional Authorities .297 -.096 .004 -.193 .114 .023 -.029 .120 .604 -.195 .008 -.392 .231 .047 -.059 .245
M2.e. Trust in group village headmen .338 -.088 -.034 -.200 .119 .031 -.035 .146 .677 -.176 -.068 -.402 .238 .063 -.070 .292
M2.f. Trust in village headmen .349 -.055 -.058 -.182 .047 .057 -.008 .082 .706 -.112 -.117 -.368 .095 .115 -.015 .166
M2.j. Trust in police .303 -.077 .047 -.025 .074 -.070 .123 .077 .608 -.154 .094 -.051 .148 -.140 .246 .154
M2.l. Trust in teachers .271 -.106 .059 -.147 .054 -.041 .142 -.156 .549 -.215 .120 -.297 .109 -.083 .288 -.316
M2.m.Trust in school administrators .300 -.076 .056 -.069 .046 -.104 .136 -.222 .606 -.154 .112 -.140 .094 -.211 .274 -.450
M2.n. Trust in religious leaders .277 -.052 .008 -.107 -.101 -.063 .141 -.020 .581 -.108 .017 -.226 -.213 -.133 .297 -.042
M3.a. Trust in family members .174 .007 .011 -.003 -.065 .105 .003 -.132 .444 .017 .027 -.007 -.166 .269 .008 -.336
M3.b. Trust in relatives .290 .051 .031 .031 -.070 .160 -.024 -.148 .592 .104 .063 .063 -.144 .326 -.048 -.302
M3.c. Trust in people in own village .344 -.071 .048 .075 -.109 .045 -.061 -.055 .702 -.145 .098 .152 -.222 .092 -.125 -.112
M3.d. Trust in people outside the village .255 -.073 -.002 .131 -.083 -.039 -.071 -.006 .616 -.177 -.005 .316 -.201 -.094 -.171 -.015
M3.e. Trust in people of same ethnic group .304 -.139 .071 .108 -.051 -.024 -.128 .075 .645 -.296 .150 .229 -.108 -.050 -.271 .158
M3.f. Trust in people outside ethnic group .241 -.120 .029 .128 -.097 -.017 -.086 .059 .586 -.292 .070 .312 -.236 -.042 -.209 .144
M3.g. Trust in people from same church/ mosque .322 -.089 .121 .057 -.016 .030 -.080 -.023 .642 -.177 .242 .113 -.031 .059 -.160 -.047
M3.h. Trust in people not from same church/ mosque .255 -.146 .132 .111 -.049 -.044 -.093 .022 .565 -.324 .293 .246 -.110 -.097 -.206 .050
Extraction Method: Principal Component Analysis.
a. 8 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 11, 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 -.044 .030 .404 -.050 .004 .065 -.008 -.020 -.089 .061 .814 -.101 .008 .130 -.015 -.040
K1b Lending money to relatives -.020 .061 .416 -.059 .013 .048 -.017 -.045 -.040 .121 .831 -.118 .025 .095 -.035 -.090
K1c Lending money to people in your own village -.015 .141 .357 -.026 .039 .048 .038 -.022 -.031 .289 .733 -.053 .081 .098 .078 -.045
K1d Lending money to people outside the village .010 .101 .140 .019 -.008 .085 .030 .028 .029 .283 .395 .053 -.022 .239 .085 .078
K1e Lending money to people from the same mosque/ church -.020 .055 .159 .019 .054 .091 -.013 .025 -.054 .153 .443 .054 .150 .253 -.036 .071
K2a Lending tools like axes, hoes etc. to family members -.041 .062 .152 -.101 -.102 .224 .024 .045 -.090 .137 .336 -.223 -.226 .495 .054 .100
K2b Lending tools like axes, hoes etc. to relatives outside the household -.008 .045 .089 -.083 -.101 .252 .032 .034 -.018 .106 .211 -.197 -.238 .596 .075 .080
K2c Lending tools like axes, hoes etc. to people in your own village -.037 .047 .101 .014 -.063 .343 -.002 -.007 -.078 .098 .211 .030 -.133 .718 -.005 -.014
K2d Lending tools like axes, hoes etc. to people outside the village -.003 .012 .005 .037 .071 .324 -.004 .007 -.008 .028 .012 .086 .165 .757 -.009 .016
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .006 -.025 .019 .091 .035 .343 -.039 -.004 .014 -.057 .042 .203 .079 .768 -.087 -.009
L2 Participated in cooperative agricultural work .019 .427 .076 -.004 .018 .030 -.015 -.038 .039 .873 .155 -.008 .036 .061 -.031 -.077
L3.a. Participated last 12 months in cooperative work of preparing a garden .021 .272 .050 -.010 .054 .009 -.003 .001 .053 .671 .123 -.024 .133 .022 -.007 .003
L3.b. Participated last12 months in cooperative work of planting .036 .099 .020 .055 -.035 .009 .000 -.010 .145 .397 .080 .218 -.142 .038 .001 -.041
L3.d. Participated last 12 months in cooperative work of weeding -.024 .242 .045 .026 .043 .068 .054 .010 -.063 .650 .121 .069 .116 .183 .145 .027
L3.e. Participated last 12 months in cooperative work of harvesting .039 .281 .039 .008 -.053 -.011 .015 -.046 .098 .705 .097 .020 -.134 -.028 .037 -.115
L3.f. Participated last 12 months in cooperative work of other agriculture work .087 .168 .097 -.097 -.043 -.019 .005 -.023 .244 .474 .272 -.273 -.121 -.054 .015 -.065
L6 Participation in other exchange work than agriculture -.003 .192 .233 -.041 .005 .047 -.090 .144 -.006 .383 .465 -.082 .011 .094 -.181 .288
L7 Participated in public works without payment during the last year -.109 -.144 -.117 .245 .054 .024 .013 .112 -.268 -.354 -.286 .600 .132 .058 .033 .275
L8.a. Participated in school project over the last 12 months -.074 .012 .008 .371 .085 .013 -.003 .029 -.149 .024 .017 .740 .170 .026 -.005 .059
L8.b. Participated in road project over the last 12 months -.001 -.104 -.027 .262 -.083 .097 .027 .288 -.001 -.208 -.054 .524 -.166 .193 .053 .577
L8.c. Participated in bridge project over the last 12 months -.061 .079 -.085 .200 -.024 .051 .056 .122 -.136 .178 -.190 .447 -.054 .115 .125 .272
L8.d. Participated in church project over the last 12 months .055 .012 -.040 .312 -.042 .034 -.015 -.037 .123 .028 -.090 .704 -.096 .077 -.035 -.084
L8.g. Participated in health centre project over the last 12 months .001 .019 -.038 .137 -.024 .055 -.100 .080 .004 .055 -.109 .390 -.067 .158 -.285 .229
L8.h. Participated in irrigation project over the last 12 months -.005 .035 .042 .156 -.019 -.026 -.011 .010 -.015 .106 .128 .477 -.059 -.078 -.035 .030
L8.i. Participated in borehole project over the last 12 months .082 -.042 -.049 .290 -.073 -.032 -.020 -.020 .183 -.093 -.108 .644 -.163 -.072 -.044 -.045
L8.k. Participated in graveyard clearing project over the last 12 months -.035 -.158 -.005 .116 -.071 .007 -.025 .363 -.072 -.320 -.011 .236 -.143 .014 -.050 .736
M1 Most people can be trusted (1) or you cannot be too careful (0) .252 .125 .068 -.128 .007 -.036 .011 .251 .506 .251 .137 -.257 .013 -.073 .022 .505
M2.d. Trust in Traditional Authorities .123 -.017 .025 -.006 .373 .000 .080 -.046 .250 -.036 .051 -.012 .757 -.001 .163 -.093
M2.e. Trust in group village headmen .140 -.012 .040 -.042 .410 -.022 .072 -.059 .281 -.024 .080 -.085 .822 -.044 .144 -.119
M2.f. Trust in village headmen .157 -.029 .088 -.082 .339 -.045 .120 -.044 .318 -.058 .179 -.165 .686 -.091 .243 -.089
M2.j. Trust in police .155 .128 -.051 -.037 .244 -.012 .147 .077 .311 .257 -.103 -.075 .489 -.023 .295 .155
M2.l. Trust in teachers .085 .011 -.020 .009 .173 .010 .348 .009 .172 .022 -.042 .018 .350 .020 .705 .018
M2.m.Trust in school administrators .130 .075 -.045 -.022 .098 .033 .385 -.023 .263 .152 -.091 -.045 .198 .067 .778 -.046
M2.n. Trust in religious leaders .144 -.013 .016 -.126 .151 .021 .227 .115 .303 -.027 .034 -.265 .317 .044 .477 .242
M3.a. Trust in family members .137 -.023 .124 .004 -.009 -.058 .155 -.028 .350 -.060 .317 .011 -.024 -.147 .397 -.071
M3.b. Trust in relatives .234 .022 .210 .010 .009 -.076 .183 -.051 .478 .045 .428 .020 .018 -.155 .374 -.105
M3.c. Trust in people in own village .353 .009 .066 -.017 .061 -.033 .133 -.009 .720 .018 .134 -.035 .124 -.067 .272 -.018
M3.d. Trust in people outside the village .303 .043 -.029 -.059 .021 -.022 .046 -.019 .730 .103 -.070 -.142 .051 -.053 .112 -.045
M3.e. Trust in people of same ethnic group .368 .027 -.048 .017 .122 .004 .001 -.011 .780 .057 -.101 .036 .259 .009 .003 -.023
M3.f. Trust in people outside ethnic group .322 .010 -.046 -.022 .053 -.026 -.007 .021 .783 .024 -.112 -.054 .129 -.063 -.016 .052
M3.g. Trust in people from same church/ mosque .321 .045 .033 .071 .116 .010 .110 -.024 .641 .090 .067 .142 .231 .019 .219 -.047
M3.h. Trust in people not from same church/ mosque .332 .032 -.069 .068 .072 .038 .043 .017 .737 .072 -.154 .150 .161 .085 .096 .037
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 11, 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 .685 .245 .203 -.212 .473 -.054 .391 -.072
2 -.252 .466 .694 -.305 -.187 .299 -.123 -.077
3 .171 .143 .111 .716 -.008 .526 .092 .374
4 .410 .536 -.220 .081 -.547 -.338 -.273 .048
5 -.368 .523 -.201 .369 .408 -.142 .021 -.476
6 .009 -.229 .607 .413 .035 -.632 -.087 .022
7 -.364 .285 -.082 -.137 .042 -.313 .458 .672
8 .038 .091 -.041 -.127 .523 -.011 -.729 .410
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - February 11, 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: -0.0399
Component 2: 0.1215
Component 3: 0.8309 Component 1: -0.0311
Component 2: 0.2888
Component 3: 0.7333 Component 1: 0.4776
Component 2: 0.0455
Component 3: 0.4281 Component 1: -0.0888
Component 2: 0.0606
Component 3: 0.8136 Component 1: 0.7200
Component 2: 0.0176
Component 3: 0.1345 Component 1: 0.3495
Component 2: -0.0599
Component 3: 0.3166 Component 1: 0.5063
Component 2: 0.2511
Component 3: 0.1373 Component 1: 0.2441
Component 2: 0.4741
Component 3: 0.2717 Component 1: -0.0062
Component 2: 0.3826
Component 3: 0.4652 Component 1: 0.6410
Component 2: 0.0904
Component 3: 0.0666 Component 1: 0.0292
Component 2: 0.2833
Component 3: 0.3946 Component 1: 0.7303
Component 2: 0.1031
Component 3: -0.0703 Component 1: 0.7799
Component 2: 0.0569
Component 3: -0.1014 Component 1: 0.7832
Component 2: 0.0244
Component 3: -0.1121 Component 1: -0.0543
Component 2: 0.1529
Component 3: 0.4434 Component 1: 0.3184
Component 2: -0.0585
Component 3: 0.1786 Component 1: 0.7365
Component 2: 0.0718
Component 3: -0.1542 Component 1: 0.0394
Component 2: 0.8726
Component 3: 0.1547 Component 1: 0.0984
Component 2: 0.7046
Component 3: 0.0972 Component 1: 0.0525
Component 2: 0.6713
Component 3: 0.1234 Component 1: -0.0901
Component 2: 0.1371
Component 3: 0.3359 Component 1: 0.2812
Component 2: -0.0243
Component 3: 0.0799 Component 1: 0.1448
Component 2: 0.3969
Component 3: 0.0798 Component 1: 0.3033
Component 2: -0.0266
Component 3: 0.0338 Component 1: -0.0179
Component 2: 0.1058
Component 3: 0.2113 Component 1: 0.2500
Component 2: -0.0355
Component 3: 0.0509 Component 1: -0.0634
Component 2: 0.6497
Component 3: 0.1213 Component 1: -0.0781
Component 2: 0.0983
Component 3: 0.2108 Component 1: 0.3113
Component 2: 0.2570
Component 3: -0.1026 Component 1: -0.0150
Component 2: 0.1058
Component 3: 0.1282 Component 1: 0.2626
Component 2: 0.1520
Component 3: -0.0914 Component 1: 0.1717
Component 2: 0.0217
Component 3: -0.0415 Component 1: 0.0140
Component 2: -0.0568
Component 3: 0.0415 Component 1: -0.0079
Component 2: 0.0278
Component 3: 0.0124 Component 1: 0.1228
Component 2: 0.0281
Component 3: -0.0905 Component 1: 0.1829
Component 2: -0.0929
Component 3: -0.1079 Component 1: -0.1486
Component 2: 0.0237
Component 3: 0.0165 Component 1: 0.0039
Component 2: 0.0545
Component 3: -0.1094 Component 1: -0.0011
Component 2: -0.2075
Component 3: -0.0542 Component 1: -0.0718
Component 2: -0.3198
Component 3: -0.0111 Component 1: -0.1364
Component 2: 0.1780
Component 3: -0.1901 Component 1: -0.2680
Component 2: -0.3540
Component 3: -0.2858

Factor Analysis
Factor Analysis - Component Score Coefficient Matrix - February 11, 2020
Component Score Coefficient MatrixaComponent Score Coefficient Matrix, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 47 rows
  Component
1 2 3 4 5 6 7 8
K1a Lending money to family members -.018 -.100 .316 .035 .009 -.021 -.014 -.020
K1b Lending money to relatives -.003 -.078 .322 .040 .013 -.037 -.040 -.048
K1c Lending money to people in your own village -.041 .024 .244 .058 .026 -.042 .031 -.011
K1d Lending money to people outside the village -.004 .035 .053 .024 -.012 .029 .026 .020
K1e Lending money to people from the same mosque/ church -.016 .004 .075 .024 .057 .035 -.035 .026
K2a Lending tools like axes, hoes etc. to family members .002 -.009 .037 -.091 -.096 .184 .070 .037
K2b Lending tools like axes, hoes etc. to relatives outside the household .026 -.014 -.009 -.084 -.100 .215 .067 .007
K2c Lending tools like axes, hoes etc. to people in your own village .026 -.021 -.003 -.013 -.053 .329 .021 -.076
K2d Lending tools like axes, hoes etc. to people outside the village .015 -.018 -.059 -.011 .079 .301 -.046 -.037
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .052 -.059 -.033 .031 .055 .329 -.081 -.077
L2 Participated in cooperative agricultural work -.043 .385 -.071 .039 .035 -.024 -.042 -.003
L3.a. Participated last 12 months in cooperative work of preparing a garden -.032 .206 -.036 .012 .057 -.024 -.034 .037
L3.b. Participated last12 months in cooperative work of planting .013 .043 -.001 .030 -.024 -.004 .003 -.014
L3.d. Participated last 12 months in cooperative work of weeding -.059 .170 -.036 .026 .034 .020 .048 .026
L3.e. Participated last 12 months in cooperative work of harvesting .000 .203 -.037 .035 -.059 -.035 .028 -.038
L3.f. Participated last 12 months in cooperative work of other agriculture work .036 .083 .014 -.034 -.053 -.026 -.006 -.002
L6 Participation in other exchange work than agriculture -.008 .132 .127 -.025 .084 -.042 -.164 .247
L7 Participated in public works without payment during the last year -.071 -.052 -.014 .128 .086 .001 .033 .086
L8.a. Participated in school project over the last 12 months -.074 .048 .074 .328 .130 -.056 -.003 -.023
L8.b. Participated in road project over the last 12 months .017 -.060 .041 .142 -.052 .031 .071 .314
L8.c. Participated in bridge project over the last 12 months -.068 .119 -.064 .117 -.004 .005 .107 .116
L8.d. Participated in church project over the last 12 months .065 .019 .019 .248 -.052 .013 -.004 -.133
L8.g. Participated in health centre project over the last 12 months .028 .029 -.015 .059 .028 .026 -.101 .056
L8.h. Participated in irrigation project over the last 12 months .001 .022 .043 .099 -.008 -.044 .000 -.011
L8.i. Participated in borehole project over the last 12 months .093 -.025 .039 .235 -.091 -.043 -.005 -.111
L8.k. Participated in graveyard clearing project over the last 12 months -.009 -.101 .067 .003 .005 -.061 -.011 .474
M1 Most people can be trusted (1) or you cannot be too careful (0) .135 .093 .009 -.143 -.015 -.069 -.099 .398
M2.d. Trust in Traditional Authorities -.028 -.032 .018 .021 .338 .023 -.094 -.014
M2.e. Trust in group village headmen -.025 -.033 .027 -.002 .381 .007 -.132 -.015
M2.f. Trust in village headmen -.011 -.069 .072 -.026 .270 -.027 -.032 .000
M2.j. Trust in police -.032 .139 -.095 -.041 .187 -.008 .049 .163
M2.l. Trust in teachers -.105 .010 -.033 .021 .010 .009 .419 .011
M2.m.Trust in school administrators -.069 .062 -.084 -.001 -.107 .045 .497 -.046
M2.n. Trust in religious leaders -.020 -.027 -.019 -.120 .042 .026 .203 .185
M3.a. Trust in family members .045 -.064 .101 .043 -.105 -.060 .156 -.049
M3.b. Trust in relatives .111 -.077 .194 .091 -.155 -.106 .195 -.097
M3.c. Trust in people in own village .202 -.064 .062 .022 -.095 -.011 .051 -.037
M3.d. Trust in people outside the village .167 .001 -.033 -.032 -.070 .020 -.037 -.029
M3.e. Trust in people of same ethnic group .233 -.012 -.039 .019 .035 .056 -.173 -.032
M3.f. Trust in people outside ethnic group .187 -.017 -.029 -.018 -.017 .017 -.122 .015
M3.g. Trust in people from same church/ mosque .178 -.012 .030 .093 -.012 .028 .005 -.069
M3.h. Trust in people not from same church/ mosque .197 .004 -.054 .045 -.020 .074 -.074 -.018
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Coefficients are standardized.
Factor Analysis
Factor Analysis - Component Score Covariance Matrix - February 11, 2020
Component Score Covariance MatrixComponent Score Covariance 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 1.000 .000 .000 .000 .000 .000 .000 .000
2 .000 1.000 .000 .000 .000 .000 .000 .000
3 .000 .000 1.000 .000 .000 .000 .000 .000
4 .000 .000 .000 1.000 .000 .000 .000 .000
5 .000 .000 .000 .000 1.000 .000 .000 .000
6 .000 .000 .000 .000 .000 1.000 .000 .000
7 .000 .000 .000 .000 .000 .000 1.000 .000
8 .000 .000 .000 .000 .000 .000 .000 1.000
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.