IBM SPSS Web Report - 42 binary variables 224 cases varimax rotated 9 factors.spv   


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Log
Log - Log - February 10, 2020

FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e 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.

Factor Analysis
Factor Analysis - Descriptive Statistics - February 10, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 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 10, 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 .176 1.000 .714
K1b Lending money to relatives .251 .189 1.000 .754
K1c Lending money to people in your own village .238 .168 1.000 .708
K1d Lending money to people outside the village .126 .054 1.000 .431
K1e Lending money to people from the same mosque/ church .129 .042 1.000 .327
K2a Lending tools like axes, hoes etc. to family members .205 .102 1.000 .499
K2b Lending tools like axes, hoes etc. to relatives outside the household .179 .099 1.000 .554
K2c Lending tools like axes, hoes etc. to people in your own village .228 .137 1.000 .602
K2d Lending tools like axes, hoes etc. to people outside the village .184 .112 1.000 .610
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .199 .132 1.000 .662
L2 Participated in cooperative agricultural work .240 .197 1.000 .822
L3.a. Participated last 12 months in cooperative work of preparing a garden .164 .081 1.000 .492
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 .073 1.000 .525
L3.e. Participated last 12 months in cooperative work of harvesting .159 .088 1.000 .555
L3.f. Participated last 12 months in cooperative work of other agriculture work .126 .069 1.000 .546
L6 Participation in other exchange work than agriculture .251 .152 1.000 .605
L7 Participated in public works without payment during the last year .167 .124 1.000 .742
L8.a. Participated in school project over the last 12 months .251 .154 1.000 .614
L8.b. Participated in road project over the last 12 months .250 .180 1.000 .721
L8.c. Participated in bridge project over the last 12 months .199 .079 1.000 .396
L8.d. Participated in church project over the last 12 months .197 .110 1.000 .558
L8.g. Participated in health centre project over the last 12 months .123 .044 1.000 .356
L8.h. Participated in irrigation project over the last 12 months .106 .031 1.000 .287
L8.i. Participated in borehole project over the last 12 months .203 .129 1.000 .636
L8.k. Participated in graveyard clearing project over the last 12 months .244 .182 1.000 .748
M1 Most people can be trusted (1) or you cannot be too careful (0) .248 .166 1.000 .671
M2.d. Trust in Traditional Authorities .242 .176 1.000 .728
M2.e. Trust in group village headmen .249 .205 1.000 .823
M2.f. Trust in village headmen .245 .180 1.000 .738
M2.j. Trust in police .248 .135 1.000 .543
M2.l. Trust in teachers .243 .159 1.000 .653
M2.m.Trust in school administrators .245 .185 1.000 .757
M2.n. Trust in religious leaders .227 .125 1.000 .554
M3.a. Trust in family members .153 .069 1.000 .453
M3.b. Trust in relatives .241 .154 1.000 .639
M3.c. Trust in people in own village .241 .157 1.000 .652
M3.d. Trust in people outside the village .172 .102 1.000 .593
M3.e. Trust in people of same ethnic group .222 .156 1.000 .701
M3.f. Trust in people outside ethnic group .169 .111 1.000 .656
M3.g. Trust in people from same church/ mosque .251 .172 1.000 .685
M3.h. Trust in people not from same church/ mosque .203 .143 1.000 .707
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 10, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 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 .911 10.761 10.761
2 1.047 12.372 30.557 1.047 12.372 30.557 .635 7.501 18.262
3 .689 8.136 38.693 .689 8.136 38.693 .674 7.967 26.229
4 .478 5.643 44.335 .478 5.643 44.335 .693 8.187 34.416
5 .408 4.826 49.161 .408 4.826 49.161 .642 7.589 42.005
6 .362 4.274 53.435 .362 4.274 53.435 .517 6.112 48.117
7 .294 3.478 56.913 .294 3.478 56.913 .514 6.070 54.187
8 .255 3.019 59.932 .255 3.019 59.932 .371 4.379 58.566
9 .244 2.882 62.814 .244 2.882 62.814 .360 4.248 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 4.264 10.152 10.152
2 1.047 12.372 30.557 5.056 12.039 28.594 3.457 8.231 18.383
3 .689 8.136 38.693 3.454 8.225 36.819 3.399 8.094 26.477
4 .478 5.643 44.335 2.411 5.742 42.560 3.217 7.660 34.137
5 .408 4.826 49.161 1.948 4.638 47.198 2.708 6.448 40.585
6 .362 4.274 53.435 1.733 4.126 51.325 2.619 6.235 46.820
7 .294 3.478 56.913 1.352 3.219 54.544 2.241 5.335 52.155
8 .255 3.019 59.932 1.160 2.761 57.305 1.841 4.383 56.538
9 .244 2.882 62.814 1.202 2.861 60.166 1.524 3.628 60.166
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 10, 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 10, 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 .067 .342 .032 -.118 -.066 .177 -.038 -.010 -.053 .134 .688 .064 -.237 -.133 .356 -.077 -.021 -.107
K1b Lending money to relatives .098 .358 .015 -.092 -.047 .185 -.054 -.004 -.060 .196 .714 .031 -.184 -.093 .369 -.108 -.009 -.119
K1c Lending money to people in your own village .135 .329 .059 -.061 .019 .141 .009 -.016 -.118 .276 .675 .121 -.124 .038 .290 .019 -.032 -.242
K1d Lending money to people outside the village .058 .157 .103 -.003 .000 .014 .016 -.014 -.123 .163 .441 .290 -.007 -.001 .039 .046 -.040 -.347
K1e Lending money to people from the same mosque/ church .042 .152 .092 -.068 .008 .038 -.008 .042 -.033 .117 .422 .256 -.188 .022 .106 -.022 .118 -.091
K2a Lending tools like axes, hoes etc. to family members -.015 .255 .084 -.049 -.115 -.110 .001 -.045 .011 -.032 .563 .186 -.109 -.254 -.243 .002 -.099 .024
K2b Lending tools like axes, hoes etc. to relatives outside the household -.010 .198 .104 -.043 -.115 -.155 -.026 -.054 .078 -.023 .468 .247 -.101 -.272 -.367 -.062 -.128 .185
K2c Lending tools like axes, hoes etc. to people in your own village -.045 .212 .200 -.092 -.048 -.163 -.099 -.041 .039 -.095 .444 .418 -.193 -.101 -.341 -.207 -.086 .081
K2d Lending tools like axes, hoes etc. to people outside the village .008 .082 .200 -.140 -.001 -.186 -.097 .035 -.014 .018 .192 .467 -.327 -.002 -.435 -.225 .082 -.033
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.034 .073 .239 -.132 -.019 -.158 -.150 .027 .048 -.076 .163 .536 -.296 -.043 -.353 -.336 .060 .107
L2 Participated in cooperative agricultural work .138 .258 .070 .202 .220 -.071 .068 .042 .075 .281 .527 .143 .413 .450 -.144 .140 .085 .152
L3.a. Participated last 12 months in cooperative work of preparing a garden .117 .152 .046 .111 .141 -.039 .066 .055 -.028 .289 .374 .113 .274 .348 -.096 .163 .137 -.068
L3.b. Participated last12 months in cooperative work of planting .025 .045 .063 .084 .044 .005 -.005 -.020 .001 .101 .178 .252 .335 .176 .019 -.021 -.081 .006
L3.d. Participated last 12 months in cooperative work of weeding .084 .147 .098 .051 .140 -.063 .082 .003 -.039 .225 .395 .264 .137 .376 -.171 .221 .008 -.105
L3.e. Participated last 12 months in cooperative work of harvesting .086 .154 .036 .185 .129 -.034 .039 -.033 .031 .216 .386 .090 .465 .325 -.086 .097 -.082 .077
L3.f. Participated last 12 months in cooperative work of other agriculture work .125 .156 -.038 .124 -.003 -.009 .013 -.009 .107 .353 .441 -.106 .350 -.008 -.027 .037 -.024 .302
L6 Participation in other exchange work than agriculture .055 .277 .094 .060 -.035 .062 .083 .140 .167 .110 .553 .187 .119 -.071 .124 .166 .280 .333
L7 Participated in public works without payment during the last year -.165 -.209 .179 -.113 .044 .051 .051 .021 -.028 -.403 -.512 .437 -.276 .108 .124 .125 .051 -.069
L8.a. Participated in school project over the last 12 months -.089 -.097 .272 -.045 .188 .151 -.003 .009 -.050 -.177 -.194 .544 -.089 .375 .301 -.006 .019 -.099
L8.b. Participated in road project over the last 12 months -.142 -.128 .331 -.009 -.136 .056 .109 .013 -.009 -.284 -.256 .663 -.018 -.273 .111 .218 .025 -.019
L8.c. Participated in bridge project over the last 12 months -.083 -.064 .212 .039 .081 -.023 .114 -.021 -.028 -.186 -.143 .476 .087 .181 -.052 .256 -.047 -.063
L8.d. Participated in church project over the last 12 months -.059 -.108 .233 .077 .105 .080 -.100 -.061 .055 -.133 -.244 .526 .174 .237 .180 -.226 -.138 .124
L8.g. Participated in health centre project over the last 12 months -.090 -.033 .147 .056 .010 .004 -.021 .079 .056 -.257 -.094 .418 .159 .028 .010 -.060 .224 .160
L8.h. Participated in irrigation project over the last 12 months -.032 -.005 .110 .043 .060 .099 -.005 -.016 -.045 -.099 -.014 .336 .131 .184 .302 -.014 -.049 -.139
L8.i. Participated in borehole project over the last 12 months -.064 -.155 .185 .101 .048 .120 -.093 -.067 .164 -.143 -.343 .410 .224 .107 .266 -.207 -.150 .363
L8.k. Participated in graveyard clearing project over the last 12 months -.159 -.114 .192 -.028 -.229 .084 .180 .100 .070 -.321 -.230 .389 -.057 -.463 .170 .364 .202 .143
M1 Most people can be trusted (1) or you cannot be too careful (0) .235 .048 .053 .163 -.200 -.010 .141 .133 -.038 .473 .097 .107 .327 -.402 -.020 .284 .268 -.077
M2.d. Trust in Traditional Authorities .297 -.096 .004 -.193 .114 .023 -.029 .120 .113 .604 -.195 .008 -.392 .231 .047 -.059 .245 .230
M2.e. Trust in group village headmen .338 -.088 -.034 -.200 .119 .031 -.035 .146 .064 .677 -.176 -.068 -.402 .238 .063 -.070 .292 .128
M2.f. Trust in village headmen .349 -.055 -.058 -.182 .047 .057 -.008 .082 .083 .706 -.112 -.117 -.368 .095 .115 -.015 .166 .167
M2.j. Trust in police .303 -.077 .047 -.025 .074 -.070 .123 .077 -.057 .608 -.154 .094 -.051 .148 -.140 .246 .154 -.115
M2.l. Trust in teachers .271 -.106 .059 -.147 .054 -.041 .142 -.156 -.014 .549 -.215 .120 -.297 .109 -.083 .288 -.316 -.028
M2.m.Trust in school administrators .300 -.076 .056 -.069 .046 -.104 .136 -.222 .028 .606 -.154 .112 -.140 .094 -.211 .274 -.450 .056
M2.n. Trust in religious leaders .277 -.052 .008 -.107 -.101 -.063 .141 -.020 -.011 .581 -.108 .017 -.226 -.213 -.133 .297 -.042 -.024
M3.a. Trust in family members .174 .007 .011 -.003 -.065 .105 .003 -.132 .080 .444 .017 .027 -.007 -.166 .269 .008 -.336 .204
M3.b. Trust in relatives .290 .051 .031 .031 -.070 .160 -.024 -.148 .109 .592 .104 .063 .063 -.144 .326 -.048 -.302 .223
M3.c. Trust in people in own village .344 -.071 .048 .075 -.109 .045 -.061 -.055 .069 .702 -.145 .098 .152 -.222 .092 -.125 -.112 .141
M3.d. Trust in people outside the village .255 -.073 -.002 .131 -.083 -.039 -.071 -.006 .026 .616 -.177 -.005 .316 -.201 -.094 -.171 -.015 .064
M3.e. Trust in people of same ethnic group .304 -.139 .071 .108 -.051 -.024 -.128 .075 -.048 .645 -.296 .150 .229 -.108 -.050 -.271 .158 -.102
M3.f. Trust in people outside ethnic group .241 -.120 .029 .128 -.097 -.017 -.086 .059 -.023 .586 -.292 .070 .312 -.236 -.042 -.209 .144 -.056
M3.g. Trust in people from same church/ mosque .322 -.089 .121 .057 -.016 .030 -.080 -.023 -.186 .642 -.177 .242 .113 -.031 .059 -.160 -.047 -.371
M3.h. Trust in people not from same church/ mosque .255 -.146 .132 .111 -.049 -.044 -.093 .022 -.118 .565 -.324 .293 .246 -.110 -.097 -.206 .050 -.263
Extraction Method: Principal Component Analysis.
a. 9 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 10, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 19 columns and 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 -.060 .031 -.058 .392 .017 .066 -.039 .093 .002 -.120 .062 -.117 .789 .033 .132 -.079 .187 .004
K1b Lending money to relatives -.036 .062 -.070 .404 .026 .048 -.050 .099 -.021 -.072 .124 -.140 .807 .052 .096 -.101 .197 -.042
K1c Lending money to people in your own village -.004 .126 -.029 .384 .018 .031 .033 .034 -.024 -.008 .259 -.059 .787 .038 .064 .067 .070 -.049
K1d Lending money to people outside the village .042 .079 .023 .188 -.047 .061 .050 -.044 .003 .120 .222 .064 .529 -.133 .173 .140 -.123 .009
K1e Lending money to people from the same mosque/ church -.010 .048 .023 .172 .045 .083 -.005 -.014 .024 -.028 .135 .063 .479 .125 .230 -.015 -.039 .066
K2a Lending tools like axes, hoes etc. to family members -.051 .062 -.098 .143 -.091 .231 .016 .028 .055 -.113 .137 -.215 .317 -.202 .510 .036 .062 .121
K2b Lending tools like axes, hoes etc. to relatives outside the household -.035 .055 -.081 .057 -.070 .271 .014 .061 .053 -.083 .129 -.192 .135 -.165 .640 .033 .144 .126
K2c Lending tools like axes, hoes etc. to people in your own village -.042 .048 .018 .095 -.049 .348 -.008 .006 -.003 -.089 .101 .038 .199 -.103 .729 -.017 .012 -.006
K2d Lending tools like axes, hoes etc. to people outside the village .025 .000 .048 .039 .051 .309 .028 -.091 -.014 .057 -.001 .113 .092 .120 .721 .065 -.213 -.032
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .012 -.024 .097 .020 .044 .342 -.031 -.035 -.008 .027 -.055 .217 .046 .098 .767 -.070 -.078 -.018
L2 Participated in cooperative agricultural work .004 .436 -.004 .060 .034 .040 -.009 .015 -.018 .007 .890 -.008 .122 .070 .082 -.018 .030 -.036
L3.a. Participated last 12 months in cooperative work of preparing a garden .038 .263 -.005 .075 .034 -.002 .025 -.051 -.005 .093 .650 -.012 .185 .084 -.004 .061 -.126 -.013
L3.b. Participated last12 months in cooperative work of planting .033 .100 .052 .018 -.033 .011 -.005 .022 -.010 .132 .401 .208 .070 -.134 .044 -.021 .087 -.039
L3.d. Participated last 12 months in cooperative work of weeding -.001 .227 .035 .080 .014 .053 .083 -.060 -.008 -.002 .611 .093 .215 .038 .143 .223 -.160 -.022
L3.e. Participated last 12 months in cooperative work of harvesting .025 .286 .003 .027 -.043 -.003 .007 .041 -.035 .063 .719 .009 .068 -.107 -.008 .017 .103 -.087
L3.f. Participated last 12 months in cooperative work of other agriculture work .037 .192 -.106 .037 .006 .010 -.028 .130 .020 .103 .540 -.299 .104 .017 .028 -.079 .365 .056
L6 Participation in other exchange work than agriculture -.057 .219 -.039 .155 .067 .083 -.112 .101 .201 -.114 .438 -.079 .310 .133 .165 -.224 .202 .401
L7 Participated in public works without payment during the last year -.073 -.161 .260 -.081 .018 .005 .041 -.104 .073 -.179 -.393 .638 -.198 .045 .012 .102 -.254 .178
L8.a. Participated in school project over the last 12 months -.039 -.004 .378 .046 .050 -.010 .012 -.066 -.008 -.078 -.007 .755 .092 .100 -.020 .025 -.132 -.016
L8.b. Participated in road project over the last 12 months .017 -.116 .279 -.016 -.106 .089 .042 -.027 .258 .034 -.233 .558 -.032 -.211 .179 .084 -.055 .516
L8.c. Participated in bridge project over the last 12 months -.030 .062 .215 -.049 -.060 .035 .085 -.080 .085 -.068 .139 .481 -.110 -.136 .079 .190 -.178 .190
L8.d. Participated in church project over the last 12 months .041 .023 .305 -.063 -.024 .043 -.045 .067 -.039 .092 .051 .688 -.142 -.054 .096 -.102 .151 -.089
L8.g. Participated in health centre project over the last 12 months .000 .026 .140 -.052 -.012 .062 -.096 -.023 .084 .001 .073 .400 -.148 -.035 .175 -.272 -.066 .239
L8.h. Participated in irrigation project over the last 12 months .008 .028 .155 .057 -.034 -.035 -.013 -.004 -.004 .024 .085 .474 .174 -.104 -.106 -.041 -.012 -.012
L8.i. Participated in borehole project over the last 12 months .026 -.010 .277 -.129 -.011 .003 -.082 .167 .009 .059 -.022 .615 -.285 -.025 .006 -.182 .371 .019
L8.k. Participated in graveyard clearing project over the last 12 months -.044 -.155 .135 -.034 -.063 .019 -.016 .000 .364 -.090 -.315 .273 -.069 -.127 .039 -.032 .000 .737
M1 Most people can be trusted (1) or you cannot be too careful (0) .254 .118 -.119 .073 -.008 -.039 .041 .014 .255 .510 .237 -.240 .146 -.017 -.078 .083 .028 .512
M2.d. Trust in Traditional Authorities .099 -.004 -.002 -.004 .395 .007 .088 .045 -.026 .202 -.008 -.004 -.008 .802 .014 .179 .092 -.052
M2.e. Trust in group village headmen .131 -.006 -.038 .031 .417 -.025 .092 .014 -.047 .262 -.012 -.076 .061 .836 -.050 .184 .028 -.094
M2.f. Trust in village headmen .127 -.016 -.082 .056 .362 -.037 .117 .090 -.020 .256 -.033 -.165 .114 .731 -.074 .237 .181 -.040
M2.j. Trust in police .186 .107 -.022 -.002 .195 -.037 .204 -.071 .048 .374 .214 -.044 -.004 .392 -.074 .409 -.143 .096
M2.l. Trust in teachers .082 -.004 .020 -.002 .145 -.001 .355 .063 -.019 .167 -.008 .040 -.005 .294 -.002 .721 .129 -.039
M2.m.Trust in school administrators .108 .069 -.016 -.048 .088 .035 .375 .122 -.040 .217 .139 -.032 -.098 .179 .070 .758 .247 -.081
M2.n. Trust in religious leaders .141 -.023 -.114 .026 .131 .015 .248 .038 .104 .297 -.049 -.238 .054 .276 .030 .522 .079 .219
M3.a. Trust in family members .077 -.003 -.008 .060 .036 -.031 .096 .220 .003 .198 -.008 -.020 .153 .091 -.078 .246 .561 .007
M3.b. Trust in relatives .151 .052 -.010 .120 .074 -.039 .102 .311 -.004 .307 .106 -.020 .244 .151 -.079 .207 .633 -.008
M3.c. Trust in people in own village .298 .028 -.030 .008 .101 -.010 .090 .217 .021 .608 .058 -.062 .017 .206 -.020 .184 .442 .043
M3.d. Trust in people outside the village .275 .054 -.069 -.056 .041 -.010 .030 .111 -.002 .665 .130 -.167 -.136 .100 -.025 .073 .268 -.004
M3.e. Trust in people of same ethnic group .374 .024 .010 -.035 .111 -.006 .015 .031 -.016 .794 .051 .022 -.074 .236 -.012 .031 .066 -.034
M3.f. Trust in people outside ethnic group .317 .012 -.029 -.049 .054 -.027 -.003 .051 .025 .772 .030 -.071 -.119 .130 -.065 -.006 .125 .061
M3.g. Trust in people from same church/ mosque .362 .018 .068 .100 .057 -.027 .135 -.002 -.065 .722 .035 .135 .200 .114 -.053 .269 -.005 -.130
M3.h. Trust in people not from same church/ mosque .363 .014 .066 -.023 .032 .013 .071 -.015 -.014 .806 .032 .146 -.050 .070 .030 .157 -.034 -.032
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 10, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 10 columns and 12 rows
Component 1 2 3 4 5 6 7 8 9
1 .637 .249 -.221 .181 .478 -.053 .387 .259 -.051
2 -.288 .476 -.315 .660 -.141 .318 -.162 .086 -.014
3 .206 .119 .745 .145 -.048 .503 .120 -.013 .312
4 .381 .559 .049 -.263 -.514 -.308 -.306 .110 .079
5 -.301 .505 .375 -.112 .350 -.184 .078 -.249 -.526
6 -.074 -.193 .375 .495 .105 -.601 -.224 .378 .086
7 -.330 .239 -.070 -.030 -.051 -.331 .563 -.152 .613
8 .138 .080 -.090 .026 .479 -.049 -.546 -.507 .423
9 -.315 .169 -.024 -.427 .347 .203 -.211 .654 .236
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - February 10, 2020
Component Plot of Factors 1, 2, 3 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 Component 1: 0.0916
Component 2: 0.0512
Component 3: 0.6882 Component 1: 0.8057
Component 2: 0.0320
Component 3: 0.1465 Component 1: -0.0785
Component 2: -0.0071
Component 3: 0.7554 Component 1: 0.0585
Component 2: -0.0218
Component 3: 0.6152 Component 1: 0.7216
Component 2: 0.0355
Component 3: 0.1352 Component 1: 0.7940
Component 2: 0.0515
Component 3: 0.0218 Component 1: 0.0340
Component 2: -0.2325
Component 3: 0.5584 Component 1: 0.0238
Component 2: 0.0853
Component 3: 0.4740 Component 1: 0.7716
Component 2: 0.0304
Component 3: -0.0710 Component 1: -0.0681
Component 2: 0.1392
Component 3: 0.4812 Component 1: -0.1790
Component 2: -0.3935
Component 3: 0.6378 Component 1: 0.0009
Component 2: 0.0731
Component 3: 0.4005 Component 1: 0.1320
Component 2: 0.4011
Component 3: 0.2080 Component 1: 0.6082
Component 2: 0.0579
Component 3: -0.0622 Component 1: 0.6647
Component 2: 0.1301
Component 3: -0.1670 Component 1: 0.3740
Component 2: 0.2142
Component 3: -0.0436 Component 1: 0.0269
Component 2: -0.0547
Component 3: 0.2172 Component 1: -0.0024
Component 2: 0.6106
Component 3: 0.0927 Component 1: 0.3072
Component 2: 0.1061
Component 3: -0.0197 Component 1: 0.0634
Component 2: 0.7187
Component 3: 0.0088 Component 1: 0.1195
Component 2: 0.2224
Component 3: 0.0639 Component 1: 0.0932
Component 2: 0.6498
Component 3: -0.0122 Component 1: 0.0073
Component 2: 0.8905
Component 3: -0.0079 Component 1: 0.5101
Component 2: 0.2365
Component 3: -0.2398 Component 1: 0.1673
Component 2: -0.0078
Component 3: 0.0398 Component 1: 0.0573
Component 2: -0.0010
Component 3: 0.1126 Component 1: 0.2174
Component 2: 0.1393
Component 3: -0.0324 Component 1: -0.0900
Component 2: -0.3146
Component 3: 0.2726 Component 1: 0.2018
Component 2: -0.0084
Component 3: -0.0042 Component 1: 0.1977
Component 2: -0.0084
Component 3: -0.0205 Component 1: 0.2619
Component 2: -0.0117
Component 3: -0.0763 Component 1: -0.0280
Component 2: 0.1348
Component 3: 0.0633 Component 1: 0.2559
Component 2: -0.0333
Component 3: -0.1649 Component 1: -0.0887
Component 2: 0.1015
Component 3: 0.0376 Component 1: -0.0083
Component 2: 0.2593
Component 3: -0.0595 Component 1: 0.2970
Component 2: -0.0494
Component 3: -0.2385 Component 1: -0.1143
Component 2: 0.4383
Component 3: -0.0788 Component 1: 0.1029
Component 2: 0.5396
Component 3: -0.2990 Component 1: -0.0722
Component 2: 0.1244
Component 3: -0.1399 Component 1: -0.1198
Component 2: 0.0620
Component 3: -0.1174 Component 1: -0.0829
Component 2: 0.1294
Component 3: -0.1918 Component 1: -0.1131
Component 2: 0.1367
Component 3: -0.2154