IBM SPSS Web Report - Region 1 - 42 binary variables 62 cases varimax rotated 9-8-7 factors.spv   


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Log
Log - Log - February 17, 2020

FILTER OFF.
USE ALL.
EXECUTE.
USE ALL.
COMPUTE filter_$=(REGION = 1).
VARIABLE LABELS filter_$ 'REGION = 1 (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.

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 .50 .504 62
K1b Lending money to relatives .44 .500 62
K1c Lending money to people in your own village .42 .497 62
K1d Lending money to people outside the village .15 .355 62
K1e Lending money to people from the same mosque/ church .18 .385 62
K2a Lending tools like axes, hoes etc. to family members .77 .422 62
K2b Lending tools like axes, hoes etc. to relatives outside the household .61 .491 62
K2c Lending tools like axes, hoes etc. to people in your own village .60 .495 62
K2d Lending tools like axes, hoes etc. to people outside the village .31 .465 62
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .29 .458 62
L2 Participated in cooperative agricultural work .48 .504 62
L3.a. Participated last 12 months in cooperative work of preparing a garden .29 .458 62
L3.b. Participated last12 months in cooperative work of planting .03 .178 62
L3.d. Participated last 12 months in cooperative work of weeding .27 .450 62
L3.e. Participated last 12 months in cooperative work of harvesting .10 .298 62
L3.f. Participated last 12 months in cooperative work of other agriculture work .05 .216 62
L6 Participation in other exchange work than agriculture .53 .503 62
L7 Participated in public works without payment during the last year .95 .216 62
L8.a. Participated in school project over the last 12 months .68 .471 62
L8.b. Participated in road project over the last 12 months .42 .497 62
L8.c. Participated in bridge project over the last 12 months .37 .487 62
L8.d. Participated in church project over the last 12 months .15 .355 62
L8.g. Participated in health centre project over the last 12 months .10 .298 62
L8.h. Participated in irrigation project over the last 12 months .16 .371 62
L8.i. Participated in borehole project over the last 12 months .13 .338 62
L8.k. Participated in graveyard clearing project over the last 12 months .15 .355 62
M1 Most people can be trusted (1) or you cannot be too careful (0) .31 .465 62
M2.d. Trust in Traditional Authorities .69 .465 62
M2.e. Trust in group village headmen .68 .471 62
M2.f. Trust in village headmen .58 .497 62
M2.j. Trust in police .61 .491 62
M2.l. Trust in teachers .66 .477 62
M2.m.Trust in school administrators .65 .482 62
M2.n. Trust in religious leaders .66 .477 62
M3.a. Trust in family members .74 .441 62
M3.b. Trust in relatives .50 .504 62
M3.c. Trust in people in own village .31 .465 62
M3.d. Trust in people outside the village .11 .319 62
M3.e. Trust in people of same ethnic group .24 .432 62
M3.f. Trust in people outside ethnic group .10 .298 62
M3.g. Trust in people from same church/ mosque .52 .504 62
M3.h. Trust in people not from same church/ mosque .23 .422 62
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 .254 .207 1.000 .814
K1b Lending money to relatives .250 .194 1.000 .775
K1c Lending money to people in your own village .247 .181 1.000 .733
K1d Lending money to people outside the village .126 .072 1.000 .568
K1e Lending money to people from the same mosque/ church .148 .087 1.000 .586
K2a Lending tools like axes, hoes etc. to family members .178 .122 1.000 .687
K2b Lending tools like axes, hoes etc. to relatives outside the household .241 .186 1.000 .771
K2c Lending tools like axes, hoes etc. to people in your own village .245 .171 1.000 .700
K2d Lending tools like axes, hoes etc. to people outside the village .216 .167 1.000 .774
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .209 .142 1.000 .676
L2 Participated in cooperative agricultural work .254 .232 1.000 .913
L3.a. Participated last 12 months in cooperative work of preparing a garden .209 .151 1.000 .721
L3.b. Participated last12 months in cooperative work of planting .032 .011 1.000 .334
L3.d. Participated last 12 months in cooperative work of weeding .202 .135 1.000 .665
L3.e. Participated last 12 months in cooperative work of harvesting .089 .029 1.000 .322
L3.f. Participated last 12 months in cooperative work of other agriculture work .047 .014 1.000 .290
L6 Participation in other exchange work than agriculture .253 .182 1.000 .720
L7 Participated in public works without payment during the last year .047 .013 1.000 .270
L8.a. Participated in school project over the last 12 months .222 .119 1.000 .536
L8.b. Participated in road project over the last 12 months .247 .183 1.000 .738
L8.c. Participated in bridge project over the last 12 months .237 .155 1.000 .655
L8.d. Participated in church project over the last 12 months .126 .057 1.000 .450
L8.g. Participated in health centre project over the last 12 months .089 .066 1.000 .737
L8.h. Participated in irrigation project over the last 12 months .137 .103 1.000 .749
L8.i. Participated in borehole project over the last 12 months .114 .029 1.000 .253
L8.k. Participated in graveyard clearing project over the last 12 months .126 .094 1.000 .744
M1 Most people can be trusted (1) or you cannot be too careful (0) .216 .118 1.000 .545
M2.d. Trust in Traditional Authorities .216 .157 1.000 .725
M2.e. Trust in group village headmen .222 .178 1.000 .801
M2.f. Trust in village headmen .247 .190 1.000 .768
M2.j. Trust in police .241 .180 1.000 .747
M2.l. Trust in teachers .228 .155 1.000 .682
M2.m.Trust in school administrators .233 .180 1.000 .773
M2.n. Trust in religious leaders .228 .170 1.000 .746
M3.a. Trust in family members .195 .120 1.000 .615
M3.b. Trust in relatives .254 .176 1.000 .691
M3.c. Trust in people in own village .216 .160 1.000 .741
M3.d. Trust in people outside the village .102 .048 1.000 .468
M3.e. Trust in people of same ethnic group .186 .149 1.000 .797
M3.f. Trust in people outside ethnic group .089 .049 1.000 .551
M3.g. Trust in people from same church/ mosque .254 .197 1.000 .778
M3.h. Trust in people not from same church/ mosque .178 .121 1.000 .681
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 1.385 17.640 17.640 1.385 17.640 17.640 .807 10.280 10.280
2 1.095 13.947 31.587 1.095 13.947 31.587 .771 9.824 20.105
3 .687 8.752 40.339 .687 8.752 40.339 .565 7.200 27.305
4 .560 7.130 47.469 .560 7.130 47.469 .688 8.769 36.074
5 .442 5.635 53.105 .442 5.635 53.105 .567 7.221 43.295
6 .408 5.193 58.298 .408 5.193 58.298 .555 7.074 50.369
7 .320 4.081 62.379 .320 4.081 62.379 .515 6.560 56.929
8 .283 3.603 65.982 .283 3.603 65.982 .537 6.834 63.763
9 .265 3.371 69.353 .265 3.371 69.353 .439 5.590 69.353
10 .233 2.970 72.323            
11 .211 2.692 75.016            
12 .190 2.423 77.438            
13 .168 2.134 79.572            
14 .162 2.068 81.640            
15 .157 2.001 83.641            
16 .154 1.959 85.599            
17 .126 1.602 87.202            
18 .113 1.434 88.635            
19 .099 1.263 89.898            
20 .090 1.148 91.046            
21 .085 1.089 92.135            
22 .069 .875 93.010            
23 .067 .851 93.861            
24 .060 .762 94.623            
25 .055 .699 95.323            
26 .052 .657 95.980            
27 .050 .641 96.620            
28 .043 .552 97.173            
29 .034 .436 97.609            
30 .032 .414 98.022            
31 .025 .323 98.345            
32 .025 .313 98.659            
33 .019 .244 98.903            
34 .018 .227 99.130            
35 .016 .200 99.330            
36 .014 .185 99.515            
37 .012 .153 99.668            
38 .010 .130 99.797            
39 .007 .095 99.893            
40 .004 .055 99.948            
41 .003 .040 99.988            
42 .001 .012 100.000            
Rescaled 1 1.385 17.640 17.640 6.842 16.291 16.291 3.718 8.851 8.851
2 1.095 13.947 31.587 5.223 12.435 28.726 3.443 8.198 17.050
3 .687 8.752 40.339 3.186 7.587 36.313 3.369 8.020 25.070
4 .560 7.130 47.469 2.927 6.969 43.281 3.316 7.895 32.965
5 .442 5.635 53.105 2.573 6.127 49.408 3.204 7.628 40.593
6 .408 5.193 58.298 2.018 4.805 54.213 3.123 7.437 48.029
7 .320 4.081 62.379 1.613 3.841 58.054 2.544 6.058 54.087
8 .283 3.603 65.982 1.479 3.522 61.576 2.527 6.016 60.103
9 .265 3.371 69.353 1.430 3.406 64.982 2.049 4.879 64.982
10 .233 2.970 72.323            
11 .211 2.692 75.016            
12 .190 2.423 77.438            
13 .168 2.134 79.572            
14 .162 2.068 81.640            
15 .157 2.001 83.641            
16 .154 1.959 85.599            
17 .126 1.602 87.202            
18 .113 1.434 88.635            
19 .099 1.263 89.898            
20 .090 1.148 91.046            
21 .085 1.089 92.135            
22 .069 .875 93.010            
23 .067 .851 93.861            
24 .060 .762 94.623            
25 .055 .699 95.323            
26 .052 .657 95.980            
27 .050 .641 96.620            
28 .043 .552 97.173            
29 .034 .436 97.609            
30 .032 .414 98.022            
31 .025 .323 98.345            
32 .025 .313 98.659            
33 .019 .244 98.903            
34 .018 .227 99.130            
35 .016 .200 99.330            
36 .014 .185 99.515            
37 .012 .153 99.668            
38 .010 .130 99.797            
39 .007 .095 99.893            
40 .004 .055 99.948            
41 .003 .040 99.988            
42 .001 .012 100.000            
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: 9.33E-4 Component Number: 41
Eigenvalue: 3.16E-3 Component Number: 40
Eigenvalue: 4.33E-3 Component Number: 39
Eigenvalue: 7.49E-3 Component Number: 38
Eigenvalue: 1.02E-2 Component Number: 37
Eigenvalue: 1.2E-2 Component Number: 36
Eigenvalue: 1.45E-2 Component Number: 35
Eigenvalue: 1.57E-2 Component Number: 34
Eigenvalue: 1.78E-2 Component Number: 33
Eigenvalue: 1.92E-2 Component Number: 32
Eigenvalue: 2.46E-2 Component Number: 31
Eigenvalue: 2.54E-2 Component Number: 30
Eigenvalue: 3.25E-2 Component Number: 29
Eigenvalue: 3.42E-2 Component Number: 28
Eigenvalue: 4.33E-2 Component Number: 27
Eigenvalue: 5.03E-2 Component Number: 26
Eigenvalue: 5.16E-2 Component Number: 25
Eigenvalue: 5.49E-2 Component Number: 24
Eigenvalue: 5.99E-2 Component Number: 23
Eigenvalue: 6.68E-2 Component Number: 22
Eigenvalue: 6.87E-2 Component Number: 21
Eigenvalue: 8.55E-2 Component Number: 20
Eigenvalue: 9.01E-2 Component Number: 19
Eigenvalue: 9.91E-2 Component Number: 18
Eigenvalue: 1.13E-1 Component Number: 17
Eigenvalue: 1.26E-1 Component Number: 16
Eigenvalue: 1.54E-1 Component Number: 15
Eigenvalue: 1.57E-1 Component Number: 14
Eigenvalue: 1.62E-1 Component Number: 13
Eigenvalue: 1.68E-1 Component Number: 12
Eigenvalue: 1.9E-1 Component Number: 11
Eigenvalue: 2.11E-1 Component Number: 10
Eigenvalue: 2.33E-1 Component Number: 9
Eigenvalue: 2.65E-1 Component Number: 8
Eigenvalue: 2.83E-1 Component Number: 7
Eigenvalue: 3.2E-1 Component Number: 6
Eigenvalue: 4.08E-1 Component Number: 5
Eigenvalue: 4.42E-1 Component Number: 4
Eigenvalue: 5.6E-1 Component Number: 3
Eigenvalue: 6.87E-1 Component Number: 2
Eigenvalue: 1.09E0 Component Number: 1
Eigenvalue: 1.38E0 Component Number: 41
Eigenvalue: 3.16E-3 Component Number: 40
Eigenvalue: 4.33E-3 Component Number: 39
Eigenvalue: 7.49E-3 Component Number: 38
Eigenvalue: 1.02E-2 Component Number: 37
Eigenvalue: 1.2E-2 Component Number: 36
Eigenvalue: 1.45E-2 Component Number: 35
Eigenvalue: 1.57E-2 Component Number: 34
Eigenvalue: 1.78E-2 Component Number: 33
Eigenvalue: 1.92E-2 Component Number: 32
Eigenvalue: 2.46E-2 Component Number: 31
Eigenvalue: 2.54E-2 Component Number: 30
Eigenvalue: 3.25E-2 Component Number: 29
Eigenvalue: 3.42E-2 Component Number: 28
Eigenvalue: 4.33E-2 Component Number: 27
Eigenvalue: 5.03E-2 Component Number: 26
Eigenvalue: 5.16E-2 Component Number: 25
Eigenvalue: 5.49E-2 Component Number: 24
Eigenvalue: 5.99E-2 Component Number: 23
Eigenvalue: 6.68E-2 Component Number: 22
Eigenvalue: 6.87E-2 Component Number: 21
Eigenvalue: 8.55E-2 Component Number: 20
Eigenvalue: 9.01E-2 Component Number: 19
Eigenvalue: 9.91E-2 Component Number: 18
Eigenvalue: 1.13E-1 Component Number: 17
Eigenvalue: 1.26E-1 Component Number: 16
Eigenvalue: 1.54E-1 Component Number: 15
Eigenvalue: 1.57E-1 Component Number: 14
Eigenvalue: 1.62E-1 Component Number: 13
Eigenvalue: 1.68E-1 Component Number: 12
Eigenvalue: 1.9E-1 Component Number: 11
Eigenvalue: 2.11E-1 Component Number: 10
Eigenvalue: 2.33E-1 Component Number: 9
Eigenvalue: 2.65E-1 Component Number: 8
Eigenvalue: 2.83E-1 Component Number: 7
Eigenvalue: 3.2E-1 Component Number: 6
Eigenvalue: 4.08E-1 Component Number: 5
Eigenvalue: 4.42E-1 Component Number: 4
Eigenvalue: 5.6E-1 Component Number: 3
Eigenvalue: 6.87E-1 Component Number: 2
Eigenvalue: 1.09E0 Component Number: 1
Eigenvalue: 1.38E0 0.00 0.25 0.50 0.75 1.00 1.25 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 .250 .203 .251 -.124 -.038 -.023 -.120 .039 -.082 .495 .404 .498 -.246 -.075 -.046 -.238 .078 -.163
K1b Lending money to relatives .222 .175 .202 -.201 -.013 -.047 -.164 -.057 .004 .444 .351 .405 -.401 -.026 -.095 -.328 -.113 .007
K1c Lending money to people in your own village .234 .175 .211 -.138 -.020 .075 -.145 -.063 .039 .470 .352 .424 -.278 -.040 .151 -.291 -.126 .078
K1d Lending money to people outside the village .147 .152 .001 -.036 .099 .073 .087 -.054 .008 .413 .429 .004 -.101 .279 .205 .245 -.153 .022
K1e Lending money to people from the same mosque/ church .153 .118 .152 .016 .073 .077 .095 -.071 -.023 .398 .308 .395 .042 .190 .201 .248 -.184 -.059
K2a Lending tools like axes, hoes etc. to family members .223 .170 -.100 .041 -.012 -.146 -.009 -.012 -.102 .528 .404 -.237 .096 -.028 -.345 -.022 -.029 -.241
K2b Lending tools like axes, hoes etc. to relatives outside the household .232 .202 -.199 -.092 -.024 -.173 .046 -.073 -.074 .472 .412 -.405 -.187 -.049 -.351 .094 -.149 -.151
K2c Lending tools like axes, hoes etc. to people in your own village .145 .270 -.165 -.021 .002 -.114 .057 -.100 .153 .293 .546 -.333 -.042 .005 -.231 .114 -.203 .309
K2d Lending tools like axes, hoes etc. to people outside the village .106 .244 -.126 -.112 .176 -.097 .123 .012 .111 .228 .525 -.270 -.240 .379 -.209 .265 .025 .239
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .116 .234 .009 -.059 .187 -.133 .073 -.079 .074 .254 .511 .019 -.129 .409 -.291 .159 -.172 .162
L2 Participated in cooperative agricultural work .198 .124 -.256 .084 .152 .260 -.096 -.052 -.048 .392 .247 -.508 .166 .302 .515 -.191 -.103 -.095
L3.a. Participated last 12 months in cooperative work of preparing a garden .086 .037 -.171 .158 .102 .194 -.153 -.115 -.057 .188 .081 -.374 .344 .222 .425 -.335 -.252 -.124
L3.b. Participated last12 months in cooperative work of planting .026 .025 -.008 .060 .024 -.001 .016 .027 .064 .147 .138 -.045 .337 .133 -.005 .090 .149 .360
L3.d. Participated last 12 months in cooperative work of weeding .137 .192 -.181 .002 -.027 .156 .015 .005 -.144 .305 .428 -.401 .004 -.060 .346 .034 .011 -.321
L3.e. Participated last 12 months in cooperative work of harvesting .059 .037 -.105 .035 -.072 .055 -.004 -.037 .045 .198 .123 -.352 .116 -.240 .184 -.012 -.125 .151
L3.f. Participated last 12 months in cooperative work of other agriculture work .079 -.007 .005 -.011 .035 .039 .065 .008 -.011 .364 -.032 .024 -.050 .159 .182 .302 .038 -.050
L6 Participation in other exchange work than agriculture .342 .142 .047 .054 -.045 .069 .041 .178 -.004 .680 .282 .093 .107 -.089 .137 .082 .354 -.008
L7 Participated in public works without payment during the last year .007 .095 .008 .012 -.007 .001 -.023 .046 -.025 .033 .440 .035 .057 -.033 .003 -.108 .212 -.113
L8.a. Participated in school project over the last 12 months .203 .159 .018 .000 -.129 .090 -.120 .073 .089 .430 .337 .038 -.001 -.274 .190 -.255 .154 .190
L8.b. Participated in road project over the last 12 months .287 .110 .134 .189 .040 -.039 .104 .108 -.094 .578 .221 .270 .380 .081 -.078 .208 .217 -.189
L8.c. Participated in bridge project over the last 12 months .160 .048 -.141 .207 -.233 .021 -.054 -.068 .046 .329 .098 -.290 .425 -.479 .044 -.111 -.141 .093
L8.d. Participated in church project over the last 12 months .042 .076 .022 .193 -.064 -.022 .030 -.072 .028 .119 .214 .062 .543 -.181 -.062 .085 -.202 .080
L8.g. Participated in health centre project over the last 12 months .126 -.043 .062 -.022 .147 .069 .024 .118 .050 .424 -.143 .208 -.074 .494 .231 .082 .395 .169
L8.h. Participated in irrigation project over the last 12 months .146 .067 .156 .166 -.144 -.032 -.010 -.054 -.010 .395 .181 .422 .447 -.390 -.087 -.028 -.146 -.027
L8.i. Participated in borehole project over the last 12 months -.058 -.055 .070 -.088 .063 .020 .065 -.015 -.035 -.171 -.163 .206 -.259 .185 .060 .192 -.046 -.103
L8.k. Participated in graveyard clearing project over the last 12 months .191 -.079 .020 -.006 .142 .104 .066 .124 -.002 .537 -.223 .055 -.017 .400 .292 .185 .350 -.006
M1 Most people can be trusted (1) or you cannot be too careful (0) .165 -.087 .156 .164 .062 .054 .028 .087 .130 .355 -.186 .335 .352 .133 .116 .061 .186 .279
M2.d. Trust in Traditional Authorities -.291 .160 -.102 .009 -.002 .033 -.114 .086 .121 -.625 .345 -.219 .019 -.005 .070 -.244 .185 .260
M2.e. Trust in group village headmen -.234 .233 -.056 -.078 .088 .031 -.151 .048 .162 -.496 .494 -.120 -.165 .187 .065 -.320 .101 .343
M2.f. Trust in village headmen -.308 .235 .063 -.123 .023 .100 -.046 .091 -.004 -.619 .473 .127 -.247 .047 .201 -.092 .183 -.008
M2.j. Trust in police -.020 .170 -.240 .004 -.150 -.063 .023 .253 -.042 -.041 .347 -.489 .009 -.306 -.129 .046 .516 -.086
M2.l. Trust in teachers -.200 .260 .048 -.077 -.100 -.003 .069 .077 -.136 -.420 .545 .101 -.161 -.210 -.007 .145 .162 -.286
M2.m.Trust in school administrators -.270 .267 -.082 -.081 -.111 -.022 .016 -.046 -.085 -.559 .554 -.171 -.169 -.230 -.045 .032 -.096 -.176
M2.n. Trust in religious leaders -.190 .265 .010 .107 -.012 .155 .147 .016 .077 -.397 .556 .021 .224 -.024 .324 .307 .033 .162
M3.a. Trust in family members -.157 .211 .164 -.007 -.029 .122 .067 .030 -.052 -.356 .478 .371 -.016 -.065 .276 .152 .067 -.118
M3.b. Trust in relatives -.152 .189 .168 .045 -.138 .120 .167 -.116 .109 -.302 .376 .333 .088 -.274 .238 .331 -.229 .216
M3.c. Trust in people in own village -.252 .153 .090 .094 .150 .024 .048 -.108 -.138 -.542 .330 .193 .203 .323 .051 .104 -.233 -.297
M3.d. Trust in people outside the village -.148 .034 .007 .044 .108 .018 -.008 .006 -.102 -.464 .106 .021 .137 .340 .056 -.025 .020 -.320
M3.e. Trust in people of same ethnic group -.102 .133 .046 .156 .204 -.165 -.140 .062 -.043 -.237 .307 .107 .362 .473 -.381 -.323 .144 -.101
M3.f. Trust in people outside ethnic group -.136 .003 -.004 .091 .116 -.031 -.074 .001 -.049 -.455 .011 -.014 .307 .389 -.105 -.247 .002 -.163
M3.g. Trust in people from same church/ mosque -.170 .171 .190 .280 -.021 -.103 -.112 -.033 -.002 -.338 .339 .378 .556 -.042 -.204 -.222 -.066 -.004
M3.h. Trust in people not from same church/ mosque -.051 .137 -.002 .264 .069 -.136 .002 .065 .049 -.121 .324 -.005 .627 .163 -.322 .004 .155 .116
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 .025 .431 .054 .055 .002 .002 -.091 -.033 .070 .049 .856 .107 .109 .003 .003 -.180 -.065 .139
K1b Lending money to relatives -.031 .420 -.011 .109 -.037 -.031 -.006 -.030 -.027 -.061 .841 -.022 .218 -.074 -.062 -.012 -.060 -.054
K1c Lending money to people in your own village .033 .403 .056 .063 -.072 .013 .002 .043 -.062 .066 .810 .113 .126 -.145 .026 .005 .087 -.125
K1d Lending money to people outside the village .081 .084 .091 .180 -.032 -.016 -.064 .108 -.022 .229 .237 .256 .506 -.089 -.045 -.180 .303 -.063
K1e Lending money to people from the same mosque/ church .120 .142 .120 .097 .001 .023 -.140 .043 -.080 .313 .368 .312 .251 .003 .060 -.364 .112 -.209
K2a Lending tools like axes, hoes etc. to family members -.096 .107 -.037 .202 .031 .109 -.129 .076 .156 -.228 .253 -.088 .478 .074 .257 -.306 .180 .370
K2b Lending tools like axes, hoes etc. to relatives outside the household -.105 .083 -.116 .323 -.070 .038 -.112 .084 .157 -.215 .170 -.235 .657 -.142 .077 -.228 .172 .319
K2c Lending tools like axes, hoes etc. to people in your own village .006 .043 -.048 .362 -.075 .142 .064 .061 .048 .013 .087 -.096 .732 -.151 .288 .130 .123 .096
K2d Lending tools like axes, hoes etc. to people outside the village .032 .014 .071 .387 -.002 -.052 .058 .021 .067 .070 .031 .153 .833 -.005 -.111 .125 .046 .143
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .031 .101 .045 .347 .080 -.003 -.005 -.013 -.036 .068 .220 .099 .759 .174 -.006 -.011 -.028 -.079
L2 Participated in cooperative agricultural work -.036 .013 .104 .101 -.005 .018 .019 .455 .036 -.072 .025 .206 .201 -.011 .037 .037 .904 .072
L3.a. Participated last 12 months in cooperative work of preparing a garden -.054 -.011 .016 -.016 .069 .078 .019 .366 -.050 -.117 -.025 .036 -.035 .152 .170 .042 .799 -.110
L3.b. Participated last12 months in cooperative work of planting .005 -.019 .066 .035 .009 .061 .028 .002 .003 .025 -.108 .372 .195 .052 .344 .155 .012 .019
L3.d. Participated last 12 months in cooperative work of weeding .072 .047 -.018 .091 -.061 .004 -.075 .282 .172 .161 .104 -.040 .202 -.136 .010 -.167 .627 .383
L3.e. Participated last 12 months in cooperative work of harvesting -.006 -.020 -.020 .031 -.092 .086 .023 .099 .023 -.021 -.066 -.067 .102 -.310 .290 .076 .332 .076
L3.f. Participated last 12 months in cooperative work of other agriculture work .006 .004 .074 .034 -.038 -.023 -.064 .027 -.004 .029 .016 .344 .155 -.178 -.108 -.295 .126 -.020
L6 Participation in other exchange work than agriculture .002 .193 .246 .076 -.101 .120 -.113 .072 .190 .004 .383 .489 .150 -.201 .239 -.224 .143 .378
L7 Participated in public works without payment during the last year .043 .053 .003 .021 .036 .020 .015 .017 .073 .200 .244 .012 .096 .169 .092 .067 .081 .337
L8.a. Participated in school project over the last 12 months .007 .225 .076 .019 -.126 .143 .076 .090 .108 .014 .478 .161 .040 -.268 .303 .161 .192 .230
L8.b. Participated in road project over the last 12 months .014 .129 .232 .079 .075 .164 -.246 .004 .114 .028 .259 .466 .158 .151 .329 -.495 .007 .229
L8.c. Participated in bridge project over the last 12 months -.065 -.002 -.060 -.015 -.128 .324 -.031 .141 .074 -.133 -.005 -.123 -.030 -.262 .664 -.064 .289 .152
L8.d. Participated in church project over the last 12 months .051 -.009 -.003 .026 .034 .219 -.057 .022 -.022 .145 -.026 -.007 .072 .096 .618 -.159 .061 -.062
L8.g. Participated in health centre project over the last 12 months -.037 .045 .237 .019 -.001 -.074 -.005 .011 -.010 -.124 .150 .794 .065 -.004 -.250 -.016 .036 -.033
L8.h. Participated in irrigation project over the last 12 months .032 .146 .018 -.036 -.005 .246 -.131 -.034 -.013 .087 .393 .049 -.098 -.015 .663 -.354 -.092 -.034
L8.i. Participated in borehole project over the last 12 months .044 -.016 .010 -.017 .006 -.132 -.039 -.054 -.066 .130 -.047 .031 -.049 .018 -.392 -.114 -.159 -.196
L8.k. Participated in graveyard clearing project over the last 12 months -.063 .016 .265 .011 -.038 -.081 -.081 .065 .016 -.176 .045 .747 .031 -.108 -.228 -.229 .182 .046
M1 Most people can be trusted (1) or you cannot be too careful (0) -.035 .039 .290 -.056 .000 .136 -.038 -.042 -.078 -.076 .084 .623 -.119 .001 .293 -.083 -.091 -.168
M2.d. Trust in Traditional Authorities .140 -.079 -.097 -.010 .099 .005 .322 .014 .085 .302 -.171 -.210 -.021 .212 .011 .693 .031 .182
M2.e. Trust in group village headmen .139 .032 -.067 .089 .113 -.050 .358 .028 .029 .295 .067 -.143 .188 .239 -.106 .760 .060 .062
M2.f. Trust in village headmen .296 .049 -.094 -.023 .111 -.148 .222 -.023 .081 .595 .098 -.189 -.047 .223 -.298 .447 -.046 .162
M2.j. Trust in police .020 -.078 -.052 .064 -.048 .051 .085 .022 .393 .041 -.158 -.106 .131 -.098 .103 .173 .045 .800
M2.l. Trust in teachers .283 .048 -.157 .020 .067 -.065 .014 -.061 .188 .593 .101 -.328 .042 .141 -.136 .029 -.129 .394
M2.m.Trust in school administrators .245 -.022 -.289 .070 .055 -.038 .101 .007 .128 .507 -.046 -.599 .145 .114 -.079 .210 .014 .265
M2.n. Trust in religious leaders .368 -.083 .017 .063 .039 .085 .102 .051 .035 .772 -.174 .036 .132 .083 .178 .213 .107 .073
M3.a. Trust in family members .324 .081 -.017 -.034 .067 -.027 .017 -.022 .031 .734 .182 -.039 -.078 .153 -.062 .039 -.051 .070
M3.b. Trust in relatives .369 .014 -.052 .011 -.071 .121 .023 -.072 -.106 .731 .028 -.104 .022 -.141 .241 .045 -.142 -.210
M3.c. Trust in people in own village .244 -.055 -.098 .018 .276 -.051 -.031 .032 -.082 .525 -.119 -.210 .038 .595 -.109 -.067 .069 -.176
M3.d. Trust in people outside the village .079 -.061 -.032 -.031 .170 -.074 .004 .034 .001 .248 -.190 -.099 -.097 .534 -.233 .012 .107 .004
M3.e. Trust in people of same ethnic group -.021 .027 .014 .064 .363 .050 .079 -.028 .042 -.048 .062 .032 .148 .841 .115 .184 -.065 .097
M3.f. Trust in people outside ethnic group .003 -.062 -.026 -.036 .199 -.014 .050 .021 -.022 .010 -.207 -.089 -.120 .667 -.047 .168 .071 -.073
M3.g. Trust in people from same church/ mosque .149 .063 -.068 -.067 .297 .251 .050 -.087 -.029 .295 .126 -.136 -.133 .589 .499 .100 -.172 -.057
M3.h. Trust in people not from same church/ mosque .038 -.072 .056 .082 .224 .215 .040 -.041 .070 .090 -.171 .134 .194 .532 .509 .094 -.098 .167
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 14 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 -.424 .437 .412 .281 -.334 .214 -.407 .230 .073
2 .554 .384 -.137 .531 .192 .198 .170 .181 .327
3 .324 .545 .244 -.295 .191 .018 -.202 -.504 -.346
4 .043 -.313 .219 -.201 .428 .758 -.156 .173 -.012
5 -.117 -.108 .443 .364 .577 -.430 .062 .192 -.297
6 .447 .027 .304 -.393 -.306 -.159 .101 .634 -.149
7 .439 -.496 .215 .336 -.295 -.076 -.488 -.267 .004
8 -.020 -.036 .520 -.228 .062 -.148 .216 -.243 .738
9 -.020 -.085 .315 .246 -.339 .320 .664 -.249 -.335
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: -0.1243
Component 2: 0.1505
Component 3: 0.7938 Component 1: -0.1761
Component 2: 0.0451
Component 3: 0.7473 Component 1: 0.3125
Component 2: 0.3676
Component 3: 0.3118 Component 1: -0.0762
Component 2: 0.0838
Component 3: 0.6230 Component 1: 0.0038
Component 2: 0.3833
Component 3: 0.4889 Component 1: 0.0279
Component 2: 0.2595
Component 3: 0.4662 Component 1: 0.7720
Component 2: -0.1741
Component 3: 0.0363 Component 1: 0.7337
Component 2: 0.1825
Component 3: -0.0394 Component 1: 0.2286
Component 2: 0.2368
Component 3: 0.2562 Component 1: 0.7314
Component 2: 0.0283
Component 3: -0.1039 Component 1: 0.0286
Component 2: 0.0165
Component 3: 0.3439 Component 1: 0.0254
Component 2: -0.1079
Component 3: 0.3723 Component 1: 0.0661
Component 2: 0.8095
Component 3: 0.1127 Component 1: 0.0494
Component 2: 0.8558
Component 3: 0.1068 Component 1: 0.0141
Component 2: 0.4779
Component 3: 0.1615 Component 1: 0.5950
Component 2: 0.0982
Component 3: -0.1886 Component 1: 0.0698
Component 2: 0.0306
Component 3: 0.1529 Component 1: 0.1996
Component 2: 0.2442
Component 3: 0.0118 Component 1: 0.0682
Component 2: 0.2201
Component 3: 0.0993 Component 1: 0.0866
Component 2: 0.3929
Component 3: 0.0493 Component 1: -0.0717
Component 2: 0.0254
Component 3: 0.2060 Component 1: 0.0895
Component 2: -0.1712
Component 3: 0.1338 Component 1: 0.5246
Component 2: -0.1193
Component 3: -0.2105 Component 1: -0.0614
Component 2: 0.8412
Component 3: -0.0218 Component 1: 0.1301
Component 2: -0.0468
Component 3: 0.0309 Component 1: 0.5930
Component 2: 0.1006
Component 3: -0.3283 Component 1: 0.2948
Component 2: 0.1260
Component 3: -0.1358 Component 1: 0.1608
Component 2: 0.1042
Component 3: -0.0398 Component 1: 0.1447
Component 2: -0.0256
Component 3: -0.0072 Component 1: 0.2951
Component 2: 0.0674
Component 3: -0.1430 Component 1: 0.2482
Component 2: -0.1901
Component 3: -0.0994 Component 1: -0.0475
Component 2: 0.0615
Component 3: 0.0319 Component 1: 0.3019
Component 2: -0.1708
Component 3: -0.2097 Component 1: -0.1170
Component 2: -0.0249
Component 3: 0.0357 Component 1: 0.0129
Component 2: 0.0875
Component 3: -0.0963 Component 1: -0.0206
Component 2: -0.0659
Component 3: -0.0667 Component 1: 0.0413
Component 2: -0.1583
Component 3: -0.1061 Component 1: 0.0103
Component 2: -0.2073
Component 3: -0.0886 Component 1: -0.2282
Component 2: 0.2530
Component 3: -0.0881 Component 1: -0.1332
Component 2: -0.0046
Component 3: -0.1227 Component 1: 0.5074
Component 2: -0.0459
Component 3: -0.5991 Component 1: -0.2148
Component 2: 0.1699
Component 3: -0.2354

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 .50 .504 62
K1b Lending money to relatives .44 .500 62
K1c Lending money to people in your own village .42 .497 62
K1d Lending money to people outside the village .15 .355 62
K1e Lending money to people from the same mosque/ church .18 .385 62
K2a Lending tools like axes, hoes etc. to family members .77 .422 62
K2b Lending tools like axes, hoes etc. to relatives outside the household .61 .491 62
K2c Lending tools like axes, hoes etc. to people in your own village .60 .495 62
K2d Lending tools like axes, hoes etc. to people outside the village .31 .465 62
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .29 .458 62
L2 Participated in cooperative agricultural work .48 .504 62
L3.a. Participated last 12 months in cooperative work of preparing a garden .29 .458 62
L3.b. Participated last12 months in cooperative work of planting .03 .178 62
L3.d. Participated last 12 months in cooperative work of weeding .27 .450 62
L3.e. Participated last 12 months in cooperative work of harvesting .10 .298 62
L3.f. Participated last 12 months in cooperative work of other agriculture work .05 .216 62
L6 Participation in other exchange work than agriculture .53 .503 62
L7 Participated in public works without payment during the last year .95 .216 62
L8.a. Participated in school project over the last 12 months .68 .471 62
L8.b. Participated in road project over the last 12 months .42 .497 62
L8.c. Participated in bridge project over the last 12 months .37 .487 62
L8.d. Participated in church project over the last 12 months .15 .355 62
L8.g. Participated in health centre project over the last 12 months .10 .298 62
L8.h. Participated in irrigation project over the last 12 months .16 .371 62
L8.i. Participated in borehole project over the last 12 months .13 .338 62
L8.k. Participated in graveyard clearing project over the last 12 months .15 .355 62
M1 Most people can be trusted (1) or you cannot be too careful (0) .31 .465 62
M2.d. Trust in Traditional Authorities .69 .465 62
M2.e. Trust in group village headmen .68 .471 62
M2.f. Trust in village headmen .58 .497 62
M2.j. Trust in police .61 .491 62
M2.l. Trust in teachers .66 .477 62
M2.m.Trust in school administrators .65 .482 62
M2.n. Trust in religious leaders .66 .477 62
M3.a. Trust in family members .74 .441 62
M3.b. Trust in relatives .50 .504 62
M3.c. Trust in people in own village .31 .465 62
M3.d. Trust in people outside the village .11 .319 62
M3.e. Trust in people of same ethnic group .24 .432 62
M3.f. Trust in people outside ethnic group .10 .298 62
M3.g. Trust in people from same church/ mosque .52 .504 62
M3.h. Trust in people not from same church/ mosque .23 .422 62
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 .254 .200 1.000 .787
K1b Lending money to relatives .250 .194 1.000 .775
K1c Lending money to people in your own village .247 .180 1.000 .727
K1d Lending money to people outside the village .126 .072 1.000 .568
K1e Lending money to people from the same mosque/ church .148 .086 1.000 .582
K2a Lending tools like axes, hoes etc. to family members .178 .112 1.000 .629
K2b Lending tools like axes, hoes etc. to relatives outside the household .241 .181 1.000 .749
K2c Lending tools like axes, hoes etc. to people in your own village .245 .148 1.000 .604
K2d Lending tools like axes, hoes etc. to people outside the village .216 .155 1.000 .717
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .209 .136 1.000 .650
L2 Participated in cooperative agricultural work .254 .229 1.000 .904
L3.a. Participated last 12 months in cooperative work of preparing a garden .209 .148 1.000 .706
L3.b. Participated last12 months in cooperative work of planting .032 .006 1.000 .205
L3.d. Participated last 12 months in cooperative work of weeding .202 .114 1.000 .562
L3.e. Participated last 12 months in cooperative work of harvesting .089 .027 1.000 .299
L3.f. Participated last 12 months in cooperative work of other agriculture work .047 .013 1.000 .287
L6 Participation in other exchange work than agriculture .253 .182 1.000 .720
L7 Participated in public works without payment during the last year .047 .012 1.000 .257
L8.a. Participated in school project over the last 12 months .222 .111 1.000 .500
L8.b. Participated in road project over the last 12 months .247 .174 1.000 .703
L8.c. Participated in bridge project over the last 12 months .237 .153 1.000 .646
L8.d. Participated in church project over the last 12 months .126 .056 1.000 .444
L8.g. Participated in health centre project over the last 12 months .089 .063 1.000 .709
L8.h. Participated in irrigation project over the last 12 months .137 .103 1.000 .749
L8.i. Participated in borehole project over the last 12 months .114 .028 1.000 .242
L8.k. Participated in graveyard clearing project over the last 12 months .126 .094 1.000 .744
M1 Most people can be trusted (1) or you cannot be too careful (0) .216 .101 1.000 .467
M2.d. Trust in Traditional Authorities .216 .142 1.000 .657
M2.e. Trust in group village headmen .222 .152 1.000 .683
M2.f. Trust in village headmen .247 .190 1.000 .768
M2.j. Trust in police .241 .178 1.000 .739
M2.l. Trust in teachers .228 .137 1.000 .600
M2.m.Trust in school administrators .233 .173 1.000 .742
M2.n. Trust in religious leaders .228 .164 1.000 .720
M3.a. Trust in family members .195 .117 1.000 .601
M3.b. Trust in relatives .254 .164 1.000 .645
M3.c. Trust in people in own village .216 .141 1.000 .653
M3.d. Trust in people outside the village .102 .037 1.000 .365
M3.e. Trust in people of same ethnic group .186 .147 1.000 .787
M3.f. Trust in people outside ethnic group .089 .047 1.000 .525
M3.g. Trust in people from same church/ mosque .254 .197 1.000 .778
M3.h. Trust in people not from same church/ mosque .178 .119 1.000 .668
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 1.385 17.640 17.640 1.385 17.640 17.640 .904 11.510 11.510
2 1.095 13.947 31.587 1.095 13.947 31.587 .652 8.300 19.810
3 .687 8.752 40.339 .687 8.752 40.339 .747 9.516 29.326
4 .560 7.130 47.469 .560 7.130 47.469 .591 7.533 36.860
5 .442 5.635 53.105 .442 5.635 53.105 .742 9.457 46.316
6 .408 5.193 58.298 .408 5.193 58.298 .581 7.397 53.714
7 .320 4.081 62.379 .320 4.081 62.379 .544 6.932 60.646
8 .283 3.603 65.982 .283 3.603 65.982 .419 5.336 65.982
9 .265 3.371 69.353            
10 .233 2.970 72.323            
11 .211 2.692 75.016            
12 .190 2.423 77.438            
13 .168 2.134 79.572            
14 .162 2.068 81.640            
15 .157 2.001 83.641            
16 .154 1.959 85.599            
17 .126 1.602 87.202            
18 .113 1.434 88.635            
19 .099 1.263 89.898            
20 .090 1.148 91.046            
21 .085 1.089 92.135            
22 .069 .875 93.010            
23 .067 .851 93.861            
24 .060 .762 94.623            
25 .055 .699 95.323            
26 .052 .657 95.980            
27 .050 .641 96.620            
28 .043 .552 97.173            
29 .034 .436 97.609            
30 .032 .414 98.022            
31 .025 .323 98.345            
32 .025 .313 98.659            
33 .019 .244 98.903            
34 .018 .227 99.130            
35 .016 .200 99.330            
36 .014 .185 99.515            
37 .012 .153 99.668            
38 .010 .130 99.797            
39 .007 .095 99.893            
40 .004 .055 99.948            
41 .003 .040 99.988            
42 .001 .012 100.000            
Rescaled 1 1.385 17.640 17.640 6.842 16.291 16.291 4.149 9.878 9.878
2 1.095 13.947 31.587 5.223 12.435 28.726 3.786 9.013 18.891
3 .687 8.752 40.339 3.186 7.587 36.313 3.561 8.480 27.371
4 .560 7.130 47.469 2.927 6.969 43.281 3.314 7.891 35.262
5 .442 5.635 53.105 2.573 6.127 49.408 3.301 7.859 43.121
6 .408 5.193 58.298 2.018 4.805 54.213 3.159 7.521 50.642
7 .320 4.081 62.379 1.613 3.841 58.054 2.565 6.108 56.750
8 .283 3.603 65.982 1.479 3.522 61.576 2.027 4.826 61.576
9 .265 3.371 69.353            
10 .233 2.970 72.323            
11 .211 2.692 75.016            
12 .190 2.423 77.438            
13 .168 2.134 79.572            
14 .162 2.068 81.640            
15 .157 2.001 83.641            
16 .154 1.959 85.599            
17 .126 1.602 87.202            
18 .113 1.434 88.635            
19 .099 1.263 89.898            
20 .090 1.148 91.046            
21 .085 1.089 92.135            
22 .069 .875 93.010            
23 .067 .851 93.861            
24 .060 .762 94.623            
25 .055 .699 95.323            
26 .052 .657 95.980            
27 .050 .641 96.620            
28 .043 .552 97.173            
29 .034 .436 97.609            
30 .032 .414 98.022            
31 .025 .323 98.345            
32 .025 .313 98.659            
33 .019 .244 98.903            
34 .018 .227 99.130            
35 .016 .200 99.330            
36 .014 .185 99.515            
37 .012 .153 99.668            
38 .010 .130 99.797            
39 .007 .095 99.893            
40 .004 .055 99.948            
41 .003 .040 99.988            
42 .001 .012 100.000            
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: 9.33E-4 Component Number: 41
Eigenvalue: 3.16E-3 Component Number: 40
Eigenvalue: 4.33E-3 Component Number: 39
Eigenvalue: 7.49E-3 Component Number: 38
Eigenvalue: 1.02E-2 Component Number: 37
Eigenvalue: 1.2E-2 Component Number: 36
Eigenvalue: 1.45E-2 Component Number: 35
Eigenvalue: 1.57E-2 Component Number: 34
Eigenvalue: 1.78E-2 Component Number: 33
Eigenvalue: 1.92E-2 Component Number: 32
Eigenvalue: 2.46E-2 Component Number: 31
Eigenvalue: 2.54E-2 Component Number: 30
Eigenvalue: 3.25E-2 Component Number: 29
Eigenvalue: 3.42E-2 Component Number: 28
Eigenvalue: 4.33E-2 Component Number: 27
Eigenvalue: 5.03E-2 Component Number: 26
Eigenvalue: 5.16E-2 Component Number: 25
Eigenvalue: 5.49E-2 Component Number: 24
Eigenvalue: 5.99E-2 Component Number: 23
Eigenvalue: 6.68E-2 Component Number: 22
Eigenvalue: 6.87E-2 Component Number: 21
Eigenvalue: 8.55E-2 Component Number: 20
Eigenvalue: 9.01E-2 Component Number: 19
Eigenvalue: 9.91E-2 Component Number: 18
Eigenvalue: 1.13E-1 Component Number: 17
Eigenvalue: 1.26E-1 Component Number: 16
Eigenvalue: 1.54E-1 Component Number: 15
Eigenvalue: 1.57E-1 Component Number: 14
Eigenvalue: 1.62E-1 Component Number: 13
Eigenvalue: 1.68E-1 Component Number: 12
Eigenvalue: 1.9E-1 Component Number: 11
Eigenvalue: 2.11E-1 Component Number: 10
Eigenvalue: 2.33E-1 Component Number: 9
Eigenvalue: 2.65E-1 Component Number: 8
Eigenvalue: 2.83E-1 Component Number: 7
Eigenvalue: 3.2E-1 Component Number: 6
Eigenvalue: 4.08E-1 Component Number: 5
Eigenvalue: 4.42E-1 Component Number: 4
Eigenvalue: 5.6E-1 Component Number: 3
Eigenvalue: 6.87E-1 Component Number: 2
Eigenvalue: 1.09E0 Component Number: 1
Eigenvalue: 1.38E0 Component Number: 41
Eigenvalue: 3.16E-3 Component Number: 40
Eigenvalue: 4.33E-3 Component Number: 39
Eigenvalue: 7.49E-3 Component Number: 38
Eigenvalue: 1.02E-2 Component Number: 37
Eigenvalue: 1.2E-2 Component Number: 36
Eigenvalue: 1.45E-2 Component Number: 35
Eigenvalue: 1.57E-2 Component Number: 34
Eigenvalue: 1.78E-2 Component Number: 33
Eigenvalue: 1.92E-2 Component Number: 32
Eigenvalue: 2.46E-2 Component Number: 31
Eigenvalue: 2.54E-2 Component Number: 30
Eigenvalue: 3.25E-2 Component Number: 29
Eigenvalue: 3.42E-2 Component Number: 28
Eigenvalue: 4.33E-2 Component Number: 27
Eigenvalue: 5.03E-2 Component Number: 26
Eigenvalue: 5.16E-2 Component Number: 25
Eigenvalue: 5.49E-2 Component Number: 24
Eigenvalue: 5.99E-2 Component Number: 23
Eigenvalue: 6.68E-2 Component Number: 22
Eigenvalue: 6.87E-2 Component Number: 21
Eigenvalue: 8.55E-2 Component Number: 20
Eigenvalue: 9.01E-2 Component Number: 19
Eigenvalue: 9.91E-2 Component Number: 18
Eigenvalue: 1.13E-1 Component Number: 17
Eigenvalue: 1.26E-1 Component Number: 16
Eigenvalue: 1.54E-1 Component Number: 15
Eigenvalue: 1.57E-1 Component Number: 14
Eigenvalue: 1.62E-1 Component Number: 13
Eigenvalue: 1.68E-1 Component Number: 12
Eigenvalue: 1.9E-1 Component Number: 11
Eigenvalue: 2.11E-1 Component Number: 10
Eigenvalue: 2.33E-1 Component Number: 9
Eigenvalue: 2.65E-1 Component Number: 8
Eigenvalue: 2.83E-1 Component Number: 7
Eigenvalue: 3.2E-1 Component Number: 6
Eigenvalue: 4.08E-1 Component Number: 5
Eigenvalue: 4.42E-1 Component Number: 4
Eigenvalue: 5.6E-1 Component Number: 3
Eigenvalue: 6.87E-1 Component Number: 2
Eigenvalue: 1.09E0 Component Number: 1
Eigenvalue: 1.38E0 0.00 0.25 0.50 0.75 1.00 1.25 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 .250 .203 .251 -.124 -.038 -.023 -.120 .039 .495 .404 .498 -.246 -.075 -.046 -.238 .078
K1b Lending money to relatives .222 .175 .202 -.201 -.013 -.047 -.164 -.057 .444 .351 .405 -.401 -.026 -.095 -.328 -.113
K1c Lending money to people in your own village .234 .175 .211 -.138 -.020 .075 -.145 -.063 .470 .352 .424 -.278 -.040 .151 -.291 -.126
K1d Lending money to people outside the village .147 .152 .001 -.036 .099 .073 .087 -.054 .413 .429 .004 -.101 .279 .205 .245 -.153
K1e Lending money to people from the same mosque/ church .153 .118 .152 .016 .073 .077 .095 -.071 .398 .308 .395 .042 .190 .201 .248 -.184
K2a Lending tools like axes, hoes etc. to family members .223 .170 -.100 .041 -.012 -.146 -.009 -.012 .528 .404 -.237 .096 -.028 -.345 -.022 -.029
K2b Lending tools like axes, hoes etc. to relatives outside the household .232 .202 -.199 -.092 -.024 -.173 .046 -.073 .472 .412 -.405 -.187 -.049 -.351 .094 -.149
K2c Lending tools like axes, hoes etc. to people in your own village .145 .270 -.165 -.021 .002 -.114 .057 -.100 .293 .546 -.333 -.042 .005 -.231 .114 -.203
K2d Lending tools like axes, hoes etc. to people outside the village .106 .244 -.126 -.112 .176 -.097 .123 .012 .228 .525 -.270 -.240 .379 -.209 .265 .025
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .116 .234 .009 -.059 .187 -.133 .073 -.079 .254 .511 .019 -.129 .409 -.291 .159 -.172
L2 Participated in cooperative agricultural work .198 .124 -.256 .084 .152 .260 -.096 -.052 .392 .247 -.508 .166 .302 .515 -.191 -.103
L3.a. Participated last 12 months in cooperative work of preparing a garden .086 .037 -.171 .158 .102 .194 -.153 -.115 .188 .081 -.374 .344 .222 .425 -.335 -.252
L3.b. Participated last12 months in cooperative work of planting .026 .025 -.008 .060 .024 -.001 .016 .027 .147 .138 -.045 .337 .133 -.005 .090 .149
L3.d. Participated last 12 months in cooperative work of weeding .137 .192 -.181 .002 -.027 .156 .015 .005 .305 .428 -.401 .004 -.060 .346 .034 .011
L3.e. Participated last 12 months in cooperative work of harvesting .059 .037 -.105 .035 -.072 .055 -.004 -.037 .198 .123 -.352 .116 -.240 .184 -.012 -.125
L3.f. Participated last 12 months in cooperative work of other agriculture work .079 -.007 .005 -.011 .035 .039 .065 .008 .364 -.032 .024 -.050 .159 .182 .302 .038
L6 Participation in other exchange work than agriculture .342 .142 .047 .054 -.045 .069 .041 .178 .680 .282 .093 .107 -.089 .137 .082 .354
L7 Participated in public works without payment during the last year .007 .095 .008 .012 -.007 .001 -.023 .046 .033 .440 .035 .057 -.033 .003 -.108 .212
L8.a. Participated in school project over the last 12 months .203 .159 .018 .000 -.129 .090 -.120 .073 .430 .337 .038 -.001 -.274 .190 -.255 .154
L8.b. Participated in road project over the last 12 months .287 .110 .134 .189 .040 -.039 .104 .108 .578 .221 .270 .380 .081 -.078 .208 .217
L8.c. Participated in bridge project over the last 12 months .160 .048 -.141 .207 -.233 .021 -.054 -.068 .329 .098 -.290 .425 -.479 .044 -.111 -.141
L8.d. Participated in church project over the last 12 months .042 .076 .022 .193 -.064 -.022 .030 -.072 .119 .214 .062 .543 -.181 -.062 .085 -.202
L8.g. Participated in health centre project over the last 12 months .126 -.043 .062 -.022 .147 .069 .024 .118 .424 -.143 .208 -.074 .494 .231 .082 .395
L8.h. Participated in irrigation project over the last 12 months .146 .067 .156 .166 -.144 -.032 -.010 -.054 .395 .181 .422 .447 -.390 -.087 -.028 -.146
L8.i. Participated in borehole project over the last 12 months -.058 -.055 .070 -.088 .063 .020 .065 -.015 -.171 -.163 .206 -.259 .185 .060 .192 -.046
L8.k. Participated in graveyard clearing project over the last 12 months .191 -.079 .020 -.006 .142 .104 .066 .124 .537 -.223 .055 -.017 .400 .292 .185 .350
M1 Most people can be trusted (1) or you cannot be too careful (0) .165 -.087 .156 .164 .062 .054 .028 .087 .355 -.186 .335 .352 .133 .116 .061 .186
M2.d. Trust in Traditional Authorities -.291 .160 -.102 .009 -.002 .033 -.114 .086 -.625 .345 -.219 .019 -.005 .070 -.244 .185
M2.e. Trust in group village headmen -.234 .233 -.056 -.078 .088 .031 -.151 .048 -.496 .494 -.120 -.165 .187 .065 -.320 .101
M2.f. Trust in village headmen -.308 .235 .063 -.123 .023 .100 -.046 .091 -.619 .473 .127 -.247 .047 .201 -.092 .183
M2.j. Trust in police -.020 .170 -.240 .004 -.150 -.063 .023 .253 -.041 .347 -.489 .009 -.306 -.129 .046 .516
M2.l. Trust in teachers -.200 .260 .048 -.077 -.100 -.003 .069 .077 -.420 .545 .101 -.161 -.210 -.007 .145 .162
M2.m.Trust in school administrators -.270 .267 -.082 -.081 -.111 -.022 .016 -.046 -.559 .554 -.171 -.169 -.230 -.045 .032 -.096
M2.n. Trust in religious leaders -.190 .265 .010 .107 -.012 .155 .147 .016 -.397 .556 .021 .224 -.024 .324 .307 .033
M3.a. Trust in family members -.157 .211 .164 -.007 -.029 .122 .067 .030 -.356 .478 .371 -.016 -.065 .276 .152 .067
M3.b. Trust in relatives -.152 .189 .168 .045 -.138 .120 .167 -.116 -.302 .376 .333 .088 -.274 .238 .331 -.229
M3.c. Trust in people in own village -.252 .153 .090 .094 .150 .024 .048 -.108 -.542 .330 .193 .203 .323 .051 .104 -.233
M3.d. Trust in people outside the village -.148 .034 .007 .044 .108 .018 -.008 .006 -.464 .106 .021 .137 .340 .056 -.025 .020
M3.e. Trust in people of same ethnic group -.102 .133 .046 .156 .204 -.165 -.140 .062 -.237 .307 .107 .362 .473 -.381 -.323 .144
M3.f. Trust in people outside ethnic group -.136 .003 -.004 .091 .116 -.031 -.074 .001 -.455 .011 -.014 .307 .389 -.105 -.247 .002
M3.g. Trust in people from same church/ mosque -.170 .171 .190 .280 -.021 -.103 -.112 -.033 -.338 .339 .378 .556 -.042 -.204 -.222 -.066
M3.h. Trust in people not from same church/ mosque -.051 .137 -.002 .264 .069 -.136 .002 .065 -.121 .324 -.005 .627 .163 -.322 .004 .155
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 .023 .097 .085 -.025 .420 .044 -.060 .023 .046 .192 .169 -.050 .833 .087 -.120 .047
K1b Lending money to relatives -.026 -.001 .116 -.033 .418 -.022 -.038 -.042 -.051 -.002 .232 -.066 .836 -.044 -.076 -.085
K1c Lending money to people in your own village .028 .059 .057 -.057 .403 .012 .047 -.065 .057 .118 .115 -.115 .811 .024 .094 -.131
K1d Lending money to people outside the village .072 .124 .177 -.040 .076 -.005 .092 -.061 .204 .348 .499 -.114 .213 -.013 .260 -.172
K1e Lending money to people from the same mosque/ church .093 .168 .097 -.033 .127 .073 .020 -.131 .242 .436 .253 -.085 .329 .189 .052 -.339
K2a Lending tools like axes, hoes etc. to family members -.091 .020 .252 .002 .091 .131 .052 .106 -.216 .048 .598 .005 .216 .312 .123 .252
K2b Lending tools like axes, hoes etc. to relatives outside the household -.092 -.055 .373 -.094 .070 .053 .060 .101 -.187 -.112 .759 -.191 .142 .107 .122 .205
K2c Lending tools like axes, hoes etc. to people in your own village .024 -.059 .348 -.022 .047 .083 .095 .063 .048 -.120 .703 -.045 .096 .169 .193 .127
K2d Lending tools like axes, hoes etc. to people outside the village .054 .071 .366 .034 .014 -.094 .024 .048 .116 .153 .787 .072 .030 -.203 .052 .102
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .038 .059 .330 .093 .093 -.012 -.019 -.067 .082 .130 .721 .203 .203 -.026 -.041 -.147
L2 Participated in cooperative agricultural work -.031 .120 .112 .013 .013 -.031 .447 .022 -.061 .238 .223 .027 .026 -.061 .887 .043
L3.a. Participated last 12 months in cooperative work of preparing a garden -.055 .020 -.007 .080 -.011 .043 .366 -.047 -.121 .043 -.015 .175 -.024 .095 .799 -.104
L3.b. Participated last12 months in cooperative work of planting .004 .050 .020 .032 -.016 .039 .018 .022 .022 .281 .110 .178 -.088 .219 .103 .124
L3.d. Participated last 12 months in cooperative work of weeding .081 .044 .140 -.092 .036 .015 .251 .113 .180 .098 .311 -.204 .080 .034 .558 .250
L3.e. Participated last 12 months in cooperative work of harvesting -.005 -.028 .030 -.071 -.014 .059 .119 .044 -.016 -.095 .102 -.238 -.048 .197 .401 .146
L3.f. Participated last 12 months in cooperative work of other agriculture work -.004 .093 .036 -.052 -.001 -.007 .015 -.022 -.020 .431 .164 -.239 -.004 -.032 .071 -.104
L6 Participation in other exchange work than agriculture -.008 .279 .096 -.101 .187 .126 .068 .172 -.017 .555 .191 -.201 .372 .250 .135 .341
L7 Participated in public works without payment during the last year .052 .009 .030 .037 .051 .016 .014 .063 .240 .042 .137 .171 .236 .074 .067 .291
L8.a. Participated in school project over the last 12 months .017 .050 .016 -.074 .237 .089 .127 .150 .035 .106 .033 -.157 .502 .189 .269 .317
L8.b. Participated in road project over the last 12 months -.016 .305 .113 .024 .106 .230 -.029 .052 -.032 .612 .226 .048 .213 .462 -.058 .105
L8.c. Participated in bridge project over the last 12 months -.073 -.064 .006 -.102 .003 .292 .184 .118 -.149 -.132 .012 -.209 .005 .600 .378 .242
L8.d. Participated in church project over the last 12 months .036 .006 .028 .034 -.014 .225 .040 -.015 .103 .018 .078 .095 -.039 .634 .113 -.043
L8.g. Participated in health centre project over the last 12 months -.045 .226 -.004 .015 .047 -.086 .006 -.006 -.151 .758 -.013 .049 .158 -.288 .019 -.020
L8.h. Participated in irrigation project over the last 12 months .006 .045 -.019 -.025 .136 .284 -.024 -.016 .017 .120 -.050 -.068 .368 .765 -.065 -.042
L8.i. Participated in borehole project over the last 12 months .036 .026 -.021 -.020 -.021 -.099 -.077 -.093 .108 .077 -.061 -.060 -.061 -.293 -.226 -.276
L8.k. Participated in graveyard clearing project over the last 12 months -.079 .280 .004 -.044 .013 -.072 .045 .001 -.224 .787 .011 -.125 .037 -.202 .127 .002
M1 Most people can be trusted (1) or you cannot be too careful (0) -.065 .261 -.094 .030 .043 .124 -.016 -.036 -.140 .562 -.201 .065 .093 .266 -.034 -.078
M2.d. Trust in Traditional Authorities .190 -.179 -.047 .181 -.057 -.100 .063 .148 .408 -.385 -.102 .389 -.123 -.215 .136 .318
M2.e. Trust in group village headmen .192 -.156 .036 .210 .055 -.168 .076 .090 .408 -.332 .077 .445 .117 -.356 .162 .190
M2.f. Trust in village headmen .337 -.120 -.040 .134 .056 -.183 -.021 .072 .678 -.241 -.081 .269 .114 -.369 -.042 .145
M2.j. Trust in police .064 -.050 .103 -.027 -.073 .005 .030 .393 .131 -.101 .209 -.055 -.148 .010 .062 .800
M2.l. Trust in teachers .309 -.111 .056 .025 .037 -.028 -.091 .122 .647 -.232 .117 .053 .077 -.059 -.191 .255
M2.m.Trust in school administrators .282 -.269 .096 .040 -.026 -.039 -.002 .089 .585 -.557 .199 .083 -.053 -.080 -.004 .185
M2.n. Trust in religious leaders .377 .010 .035 .062 -.081 .058 .074 .031 .790 .021 .074 .131 -.170 .122 .155 .064
M3.a. Trust in family members .327 .008 -.033 .043 .073 .002 -.037 -.011 .742 .017 -.076 .098 .166 .005 -.083 -.026
M3.b. Trust in relatives .354 -.053 -.020 -.066 .014 .135 -.043 -.104 .702 -.106 -.039 -.131 .028 .267 -.084 -.206
M3.c. Trust in people in own village .243 -.053 .027 .221 -.074 .002 -.008 -.154 .523 -.114 .057 .476 -.159 .003 -.017 -.332
M3.d. Trust in people outside the village .086 -.013 -.022 .142 -.069 -.054 .007 -.035 .269 -.041 -.068 .446 -.215 -.170 .022 -.110
M3.e. Trust in people of same ethnic group .002 .001 .062 .373 .021 .029 -.036 .032 .004 .002 .144 .864 .048 .068 -.083 .075
M3.f. Trust in people outside ethnic group .012 -.034 -.038 .196 -.064 -.020 .013 -.027 .042 -.116 -.127 .658 -.215 -.069 .044 -.090
M3.g. Trust in people from same church/ mosque .151 -.083 -.072 .302 .058 .252 -.065 -.016 .299 -.165 -.144 .600 .116 .499 -.129 -.033
M3.h. Trust in people not from same church/ mosque .045 .040 .072 .249 -.075 .186 -.019 .085 .107 .095 .170 .590 -.177 .441 -.045 .203
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 9 columns and 11 rows
Component 1 2 3 4 5 6 7 8
1 -.481 .497 .329 -.355 .419 .257 .208 .039
2 .618 -.090 .553 .226 .371 .145 .187 .244
3 .254 .271 -.334 .117 .524 .173 -.531 -.387
4 -.009 .220 -.199 .429 -.328 .754 .225 .035
5 -.115 .436 .286 .584 -.122 -.456 .117 -.370
6 .416 .295 -.435 -.285 .045 -.198 .640 -.137
7 .364 .370 .339 -.430 -.537 .103 -.331 -.148
8 .045 .457 -.222 .131 -.014 -.237 -.237 .781
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: 0.1158
Component 2: 0.1531
Component 3: 0.7871 Component 1: 0.0821
Component 2: 0.1296
Component 3: 0.7212 Component 1: 0.2041
Component 2: 0.3484
Component 3: 0.4992 Component 1: 0.0484
Component 2: -0.1195
Component 3: 0.7035 Component 1: 0.7901
Component 2: 0.0208
Component 3: 0.0740 Component 1: -0.1866
Component 2: -0.1117
Component 3: 0.7592 Component 1: 0.6472
Component 2: -0.2322
Component 3: 0.1172 Component 1: 0.2425
Component 2: 0.4364
Component 3: 0.2527 Component 1: 0.5846
Component 2: -0.5572
Component 3: 0.1990 Component 1: 0.1796
Component 2: 0.0984
Component 3: 0.3113 Component 1: -0.2157
Component 2: 0.0476
Component 3: 0.5980 Component 1: 0.7420
Component 2: 0.0171
Component 3: -0.0757 Component 1: 0.7021
Component 2: -0.1058
Component 3: -0.0393 Component 1: 0.5234
Component 2: -0.1142
Component 3: 0.0571 Component 1: 0.6777
Component 2: -0.2415
Component 3: -0.0812 Component 1: -0.0323
Component 2: 0.6122
Component 3: 0.2263 Component 1: 0.2402
Component 2: 0.0421
Component 3: 0.1366 Component 1: -0.0169
Component 2: 0.5552
Component 3: 0.1909 Component 1: 0.4084
Component 2: -0.3316
Component 3: 0.0769 Component 1: 0.1312
Component 2: -0.1012
Component 3: 0.2088 Component 1: 0.1075
Component 2: 0.0953
Component 3: 0.1704 Component 1: -0.0198
Component 2: 0.4314
Component 3: 0.1643 Component 1: 0.0457
Component 2: 0.1920
Component 3: 0.1688 Component 1: -0.0609
Component 2: 0.2376
Component 3: 0.2227 Component 1: -0.0515
Component 2: -0.0015
Component 3: 0.2324 Component 1: 0.0222
Component 2: 0.2806
Component 3: 0.1102 Component 1: 0.0571
Component 2: 0.1180
Component 3: 0.1151 Component 1: 0.1027
Component 2: 0.0179
Component 3: 0.0780 Component 1: 0.0039
Component 2: 0.0022
Component 3: 0.1436 Component 1: 0.2689
Component 2: -0.0405
Component 3: -0.0680 Component 1: 0.4079
Component 2: -0.3850
Component 3: -0.1017 Component 1: 0.0350
Component 2: 0.1062
Component 3: 0.0331 Component 1: -0.0158
Component 2: -0.0952
Component 3: 0.1019 Component 1: -0.1515
Component 2: 0.7582
Component 3: -0.0132 Component 1: 0.1077
Component 2: 0.0772
Component 3: -0.0611 Component 1: 0.2992
Component 2: -0.1648
Component 3: -0.1438 Component 1: -0.2236
Component 2: 0.7873
Component 3: 0.0106 Component 1: 0.0167
Component 2: 0.1204
Component 3: -0.0504 Component 1: -0.1208
Component 2: 0.0435
Component 3: -0.0155 Component 1: -0.1490
Component 2: -0.1324
Component 3: 0.0119 Component 1: 0.0416
Component 2: -0.1156
Component 3: -0.1272 Component 1: -0.1403
Component 2: 0.5617
Component 3: -0.2014

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 .50 .504 62
K1b Lending money to relatives .44 .500 62
K1c Lending money to people in your own village .42 .497 62
K1d Lending money to people outside the village .15 .355 62
K1e Lending money to people from the same mosque/ church .18 .385 62
K2a Lending tools like axes, hoes etc. to family members .77 .422 62
K2b Lending tools like axes, hoes etc. to relatives outside the household .61 .491 62
K2c Lending tools like axes, hoes etc. to people in your own village .60 .495 62
K2d Lending tools like axes, hoes etc. to people outside the village .31 .465 62
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .29 .458 62
L2 Participated in cooperative agricultural work .48 .504 62
L3.a. Participated last 12 months in cooperative work of preparing a garden .29 .458 62
L3.b. Participated last12 months in cooperative work of planting .03 .178 62
L3.d. Participated last 12 months in cooperative work of weeding .27 .450 62
L3.e. Participated last 12 months in cooperative work of harvesting .10 .298 62
L3.f. Participated last 12 months in cooperative work of other agriculture work .05 .216 62
L6 Participation in other exchange work than agriculture .53 .503 62
L7 Participated in public works without payment during the last year .95 .216 62
L8.a. Participated in school project over the last 12 months .68 .471 62
L8.b. Participated in road project over the last 12 months .42 .497 62
L8.c. Participated in bridge project over the last 12 months .37 .487 62
L8.d. Participated in church project over the last 12 months .15 .355 62
L8.g. Participated in health centre project over the last 12 months .10 .298 62
L8.h. Participated in irrigation project over the last 12 months .16 .371 62
L8.i. Participated in borehole project over the last 12 months .13 .338 62
L8.k. Participated in graveyard clearing project over the last 12 months .15 .355 62
M1 Most people can be trusted (1) or you cannot be too careful (0) .31 .465 62
M2.d. Trust in Traditional Authorities .69 .465 62
M2.e. Trust in group village headmen .68 .471 62
M2.f. Trust in village headmen .58 .497 62
M2.j. Trust in police .61 .491 62
M2.l. Trust in teachers .66 .477 62
M2.m.Trust in school administrators .65 .482 62
M2.n. Trust in religious leaders .66 .477 62
M3.a. Trust in family members .74 .441 62
M3.b. Trust in relatives .50 .504 62
M3.c. Trust in people in own village .31 .465 62
M3.d. Trust in people outside the village .11 .319 62
M3.e. Trust in people of same ethnic group .24 .432 62
M3.f. Trust in people outside ethnic group .10 .298 62
M3.g. Trust in people from same church/ mosque .52 .504 62
M3.h. Trust in people not from same church/ mosque .23 .422 62
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 .254 .199 1.000 .781
K1b Lending money to relatives .250 .190 1.000 .762
K1c Lending money to people in your own village .247 .176 1.000 .711
K1d Lending money to people outside the village .126 .069 1.000 .545
K1e Lending money to people from the same mosque/ church .148 .081 1.000 .548
K2a Lending tools like axes, hoes etc. to family members .178 .112 1.000 .628
K2b Lending tools like axes, hoes etc. to relatives outside the household .241 .175 1.000 .726
K2c Lending tools like axes, hoes etc. to people in your own village .245 .138 1.000 .563
K2d Lending tools like axes, hoes etc. to people outside the village .216 .155 1.000 .716
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .209 .130 1.000 .620
L2 Participated in cooperative agricultural work .254 .227 1.000 .894
L3.a. Participated last 12 months in cooperative work of preparing a garden .209 .135 1.000 .643
L3.b. Participated last12 months in cooperative work of planting .032 .006 1.000 .182
L3.d. Participated last 12 months in cooperative work of weeding .202 .114 1.000 .562
L3.e. Participated last 12 months in cooperative work of harvesting .089 .025 1.000 .284
L3.f. Participated last 12 months in cooperative work of other agriculture work .047 .013 1.000 .286
L6 Participation in other exchange work than agriculture .253 .151 1.000 .595
L7 Participated in public works without payment during the last year .047 .010 1.000 .212
L8.a. Participated in school project over the last 12 months .222 .106 1.000 .476
L8.b. Participated in road project over the last 12 months .247 .162 1.000 .655
L8.c. Participated in bridge project over the last 12 months .237 .148 1.000 .626
L8.d. Participated in church project over the last 12 months .126 .051 1.000 .403
L8.g. Participated in health centre project over the last 12 months .089 .049 1.000 .553
L8.h. Participated in irrigation project over the last 12 months .137 .100 1.000 .727
L8.i. Participated in borehole project over the last 12 months .114 .027 1.000 .240
L8.k. Participated in graveyard clearing project over the last 12 months .126 .078 1.000 .621
M1 Most people can be trusted (1) or you cannot be too careful (0) .216 .093 1.000 .432
M2.d. Trust in Traditional Authorities .216 .135 1.000 .623
M2.e. Trust in group village headmen .222 .149 1.000 .673
M2.f. Trust in village headmen .247 .182 1.000 .735
M2.j. Trust in police .241 .114 1.000 .473
M2.l. Trust in teachers .228 .131 1.000 .574
M2.m.Trust in school administrators .233 .171 1.000 .733
M2.n. Trust in religious leaders .228 .164 1.000 .718
M3.a. Trust in family members .195 .116 1.000 .597
M3.b. Trust in relatives .254 .150 1.000 .592
M3.c. Trust in people in own village .216 .129 1.000 .599
M3.d. Trust in people outside the village .102 .037 1.000 .365
M3.e. Trust in people of same ethnic group .186 .143 1.000 .766
M3.f. Trust in people outside ethnic group .089 .047 1.000 .524
M3.g. Trust in people from same church/ mosque .254 .196 1.000 .773
M3.h. Trust in people not from same church/ mosque .178 .114 1.000 .644
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 1.385 17.640 17.640 1.385 17.640 17.640 .901 11.475 11.475
2 1.095 13.947 31.587 1.095 13.947 31.587 .671 8.546 20.020
3 .687 8.752 40.339 .687 8.752 40.339 .781 9.944 29.965
4 .560 7.130 47.469 .560 7.130 47.469 .603 7.679 37.644
5 .442 5.635 53.105 .442 5.635 53.105 .619 7.889 45.533
6 .408 5.193 58.298 .408 5.193 58.298 .741 9.444 54.977
7 .320 4.081 62.379 .320 4.081 62.379 .581 7.402 62.379
8 .283 3.603 65.982            
9 .265 3.371 69.353            
10 .233 2.970 72.323            
11 .211 2.692 75.016            
12 .190 2.423 77.438            
13 .168 2.134 79.572            
14 .162 2.068 81.640            
15 .157 2.001 83.641            
16 .154 1.959 85.599            
17 .126 1.602 87.202            
18 .113 1.434 88.635            
19 .099 1.263 89.898            
20 .090 1.148 91.046            
21 .085 1.089 92.135            
22 .069 .875 93.010            
23 .067 .851 93.861            
24 .060 .762 94.623            
25 .055 .699 95.323            
26 .052 .657 95.980            
27 .050 .641 96.620            
28 .043 .552 97.173            
29 .034 .436 97.609            
30 .032 .414 98.022            
31 .025 .323 98.345            
32 .025 .313 98.659            
33 .019 .244 98.903            
34 .018 .227 99.130            
35 .016 .200 99.330            
36 .014 .185 99.515            
37 .012 .153 99.668            
38 .010 .130 99.797            
39 .007 .095 99.893            
40 .004 .055 99.948            
41 .003 .040 99.988            
42 .001 .012 100.000            
Rescaled 1 1.385 17.640 17.640 6.842 16.291 16.291 4.138 9.852 9.852
2 1.095 13.947 31.587 5.223 12.435 28.726 3.870 9.215 19.067
3 .687 8.752 40.339 3.186 7.587 36.313 3.691 8.789 27.856
4 .560 7.130 47.469 2.927 6.969 43.281 3.336 7.943 35.799
5 .442 5.635 53.105 2.573 6.127 49.408 3.298 7.854 43.653
6 .408 5.193 58.298 2.018 4.805 54.213 3.294 7.843 51.496
7 .320 4.081 62.379 1.613 3.841 58.054 2.754 6.558 58.054
8 .283 3.603 65.982            
9 .265 3.371 69.353            
10 .233 2.970 72.323            
11 .211 2.692 75.016            
12 .190 2.423 77.438            
13 .168 2.134 79.572            
14 .162 2.068 81.640            
15 .157 2.001 83.641            
16 .154 1.959 85.599            
17 .126 1.602 87.202            
18 .113 1.434 88.635            
19 .099 1.263 89.898            
20 .090 1.148 91.046            
21 .085 1.089 92.135            
22 .069 .875 93.010            
23 .067 .851 93.861            
24 .060 .762 94.623            
25 .055 .699 95.323            
26 .052 .657 95.980            
27 .050 .641 96.620            
28 .043 .552 97.173            
29 .034 .436 97.609            
30 .032 .414 98.022            
31 .025 .323 98.345            
32 .025 .313 98.659            
33 .019 .244 98.903            
34 .018 .227 99.130            
35 .016 .200 99.330            
36 .014 .185 99.515            
37 .012 .153 99.668            
38 .010 .130 99.797            
39 .007 .095 99.893            
40 .004 .055 99.948            
41 .003 .040 99.988            
42 .001 .012 100.000            
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: 9.33E-4 Component Number: 41
Eigenvalue: 3.16E-3 Component Number: 40
Eigenvalue: 4.33E-3 Component Number: 39
Eigenvalue: 7.49E-3 Component Number: 38
Eigenvalue: 1.02E-2 Component Number: 37
Eigenvalue: 1.2E-2 Component Number: 36
Eigenvalue: 1.45E-2 Component Number: 35
Eigenvalue: 1.57E-2 Component Number: 34
Eigenvalue: 1.78E-2 Component Number: 33
Eigenvalue: 1.92E-2 Component Number: 32
Eigenvalue: 2.46E-2 Component Number: 31
Eigenvalue: 2.54E-2 Component Number: 30
Eigenvalue: 3.25E-2 Component Number: 29
Eigenvalue: 3.42E-2 Component Number: 28
Eigenvalue: 4.33E-2 Component Number: 27
Eigenvalue: 5.03E-2 Component Number: 26
Eigenvalue: 5.16E-2 Component Number: 25
Eigenvalue: 5.49E-2 Component Number: 24
Eigenvalue: 5.99E-2 Component Number: 23
Eigenvalue: 6.68E-2 Component Number: 22
Eigenvalue: 6.87E-2 Component Number: 21
Eigenvalue: 8.55E-2 Component Number: 20
Eigenvalue: 9.01E-2 Component Number: 19
Eigenvalue: 9.91E-2 Component Number: 18
Eigenvalue: 1.13E-1 Component Number: 17
Eigenvalue: 1.26E-1 Component Number: 16
Eigenvalue: 1.54E-1 Component Number: 15
Eigenvalue: 1.57E-1 Component Number: 14
Eigenvalue: 1.62E-1 Component Number: 13
Eigenvalue: 1.68E-1 Component Number: 12
Eigenvalue: 1.9E-1 Component Number: 11
Eigenvalue: 2.11E-1 Component Number: 10
Eigenvalue: 2.33E-1 Component Number: 9
Eigenvalue: 2.65E-1 Component Number: 8
Eigenvalue: 2.83E-1 Component Number: 7
Eigenvalue: 3.2E-1 Component Number: 6
Eigenvalue: 4.08E-1 Component Number: 5
Eigenvalue: 4.42E-1 Component Number: 4
Eigenvalue: 5.6E-1 Component Number: 3
Eigenvalue: 6.87E-1 Component Number: 2
Eigenvalue: 1.09E0 Component Number: 1
Eigenvalue: 1.38E0 Component Number: 41
Eigenvalue: 3.16E-3 Component Number: 40
Eigenvalue: 4.33E-3 Component Number: 39
Eigenvalue: 7.49E-3 Component Number: 38
Eigenvalue: 1.02E-2 Component Number: 37
Eigenvalue: 1.2E-2 Component Number: 36
Eigenvalue: 1.45E-2 Component Number: 35
Eigenvalue: 1.57E-2 Component Number: 34
Eigenvalue: 1.78E-2 Component Number: 33
Eigenvalue: 1.92E-2 Component Number: 32
Eigenvalue: 2.46E-2 Component Number: 31
Eigenvalue: 2.54E-2 Component Number: 30
Eigenvalue: 3.25E-2 Component Number: 29
Eigenvalue: 3.42E-2 Component Number: 28
Eigenvalue: 4.33E-2 Component Number: 27
Eigenvalue: 5.03E-2 Component Number: 26
Eigenvalue: 5.16E-2 Component Number: 25
Eigenvalue: 5.49E-2 Component Number: 24
Eigenvalue: 5.99E-2 Component Number: 23
Eigenvalue: 6.68E-2 Component Number: 22
Eigenvalue: 6.87E-2 Component Number: 21
Eigenvalue: 8.55E-2 Component Number: 20
Eigenvalue: 9.01E-2 Component Number: 19
Eigenvalue: 9.91E-2 Component Number: 18
Eigenvalue: 1.13E-1 Component Number: 17
Eigenvalue: 1.26E-1 Component Number: 16
Eigenvalue: 1.54E-1 Component Number: 15
Eigenvalue: 1.57E-1 Component Number: 14
Eigenvalue: 1.62E-1 Component Number: 13
Eigenvalue: 1.68E-1 Component Number: 12
Eigenvalue: 1.9E-1 Component Number: 11
Eigenvalue: 2.11E-1 Component Number: 10
Eigenvalue: 2.33E-1 Component Number: 9
Eigenvalue: 2.65E-1 Component Number: 8
Eigenvalue: 2.83E-1 Component Number: 7
Eigenvalue: 3.2E-1 Component Number: 6
Eigenvalue: 4.08E-1 Component Number: 5
Eigenvalue: 4.42E-1 Component Number: 4
Eigenvalue: 5.6E-1 Component Number: 3
Eigenvalue: 6.87E-1 Component Number: 2
Eigenvalue: 1.09E0 Component Number: 1
Eigenvalue: 1.38E0 0.00 0.25 0.50 0.75 1.00 1.25 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 .250 .203 .251 -.124 -.038 -.023 -.120 .495 .404 .498 -.246 -.075 -.046 -.238
K1b Lending money to relatives .222 .175 .202 -.201 -.013 -.047 -.164 .444 .351 .405 -.401 -.026 -.095 -.328
K1c Lending money to people in your own village .234 .175 .211 -.138 -.020 .075 -.145 .470 .352 .424 -.278 -.040 .151 -.291
K1d Lending money to people outside the village .147 .152 .001 -.036 .099 .073 .087 .413 .429 .004 -.101 .279 .205 .245
K1e Lending money to people from the same mosque/ church .153 .118 .152 .016 .073 .077 .095 .398 .308 .395 .042 .190 .201 .248
K2a Lending tools like axes, hoes etc. to family members .223 .170 -.100 .041 -.012 -.146 -.009 .528 .404 -.237 .096 -.028 -.345 -.022
K2b Lending tools like axes, hoes etc. to relatives outside the household .232 .202 -.199 -.092 -.024 -.173 .046 .472 .412 -.405 -.187 -.049 -.351 .094
K2c Lending tools like axes, hoes etc. to people in your own village .145 .270 -.165 -.021 .002 -.114 .057 .293 .546 -.333 -.042 .005 -.231 .114
K2d Lending tools like axes, hoes etc. to people outside the village .106 .244 -.126 -.112 .176 -.097 .123 .228 .525 -.270 -.240 .379 -.209 .265
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .116 .234 .009 -.059 .187 -.133 .073 .254 .511 .019 -.129 .409 -.291 .159
L2 Participated in cooperative agricultural work .198 .124 -.256 .084 .152 .260 -.096 .392 .247 -.508 .166 .302 .515 -.191
L3.a. Participated last 12 months in cooperative work of preparing a garden .086 .037 -.171 .158 .102 .194 -.153 .188 .081 -.374 .344 .222 .425 -.335
L3.b. Participated last12 months in cooperative work of planting .026 .025 -.008 .060 .024 -.001 .016 .147 .138 -.045 .337 .133 -.005 .090
L3.d. Participated last 12 months in cooperative work of weeding .137 .192 -.181 .002 -.027 .156 .015 .305 .428 -.401 .004 -.060 .346 .034
L3.e. Participated last 12 months in cooperative work of harvesting .059 .037 -.105 .035 -.072 .055 -.004 .198 .123 -.352 .116 -.240 .184 -.012
L3.f. Participated last 12 months in cooperative work of other agriculture work .079 -.007 .005 -.011 .035 .039 .065 .364 -.032 .024 -.050 .159 .182 .302
L6 Participation in other exchange work than agriculture .342 .142 .047 .054 -.045 .069 .041 .680 .282 .093 .107 -.089 .137 .082
L7 Participated in public works without payment during the last year .007 .095 .008 .012 -.007 .001 -.023 .033 .440 .035 .057 -.033 .003 -.108
L8.a. Participated in school project over the last 12 months .203 .159 .018 .000 -.129 .090 -.120 .430 .337 .038 -.001 -.274 .190 -.255
L8.b. Participated in road project over the last 12 months .287 .110 .134 .189 .040 -.039 .104 .578 .221 .270 .380 .081 -.078 .208
L8.c. Participated in bridge project over the last 12 months .160 .048 -.141 .207 -.233 .021 -.054 .329 .098 -.290 .425 -.479 .044 -.111
L8.d. Participated in church project over the last 12 months .042 .076 .022 .193 -.064 -.022 .030 .119 .214 .062 .543 -.181 -.062 .085
L8.g. Participated in health centre project over the last 12 months .126 -.043 .062 -.022 .147 .069 .024 .424 -.143 .208 -.074 .494 .231 .082
L8.h. Participated in irrigation project over the last 12 months .146 .067 .156 .166 -.144 -.032 -.010 .395 .181 .422 .447 -.390 -.087 -.028
L8.i. Participated in borehole project over the last 12 months -.058 -.055 .070 -.088 .063 .020 .065 -.171 -.163 .206 -.259 .185 .060 .192
L8.k. Participated in graveyard clearing project over the last 12 months .191 -.079 .020 -.006 .142 .104 .066 .537 -.223 .055 -.017 .400 .292 .185
M1 Most people can be trusted (1) or you cannot be too careful (0) .165 -.087 .156 .164 .062 .054 .028 .355 -.186 .335 .352 .133 .116 .061
M2.d. Trust in Traditional Authorities -.291 .160 -.102 .009 -.002 .033 -.114 -.625 .345 -.219 .019 -.005 .070 -.244
M2.e. Trust in group village headmen -.234 .233 -.056 -.078 .088 .031 -.151 -.496 .494 -.120 -.165 .187 .065 -.320
M2.f. Trust in village headmen -.308 .235 .063 -.123 .023 .100 -.046 -.619 .473 .127 -.247 .047 .201 -.092
M2.j. Trust in police -.020 .170 -.240 .004 -.150 -.063 .023 -.041 .347 -.489 .009 -.306 -.129 .046
M2.l. Trust in teachers -.200 .260 .048 -.077 -.100 -.003 .069 -.420 .545 .101 -.161 -.210 -.007 .145
M2.m.Trust in school administrators -.270 .267 -.082 -.081 -.111 -.022 .016 -.559 .554 -.171 -.169 -.230 -.045 .032
M2.n. Trust in religious leaders -.190 .265 .010 .107 -.012 .155 .147 -.397 .556 .021 .224 -.024 .324 .307
M3.a. Trust in family members -.157 .211 .164 -.007 -.029 .122 .067 -.356 .478 .371 -.016 -.065 .276 .152
M3.b. Trust in relatives -.152 .189 .168 .045 -.138 .120 .167 -.302 .376 .333 .088 -.274 .238 .331
M3.c. Trust in people in own village -.252 .153 .090 .094 .150 .024 .048 -.542 .330 .193 .203 .323 .051 .104
M3.d. Trust in people outside the village -.148 .034 .007 .044 .108 .018 -.008 -.464 .106 .021 .137 .340 .056 -.025
M3.e. Trust in people of same ethnic group -.102 .133 .046 .156 .204 -.165 -.140 -.237 .307 .107 .362 .473 -.381 -.323
M3.f. Trust in people outside ethnic group -.136 .003 -.004 .091 .116 -.031 -.074 -.455 .011 -.014 .307 .389 -.105 -.247
M3.g. Trust in people from same church/ mosque -.170 .171 .190 .280 -.021 -.103 -.112 -.338 .339 .378 .556 -.042 -.204 -.222
M3.h. Trust in people not from same church/ mosque -.051 .137 -.002 .264 .069 -.136 .002 -.121 .324 -.005 .627 .163 -.322 .004
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 .022 .086 .084 -.037 .057 .420 -.050 .044 .170 .166 -.073 .113 .834 -.099
K1b Lending money to relatives -.022 .041 .098 -.026 -.036 .417 -.051 -.044 .082 .196 -.052 -.072 .835 -.103
K1c Lending money to people in your own village .031 .103 .033 -.047 -.002 .400 .031 .062 .207 .065 -.094 -.005 .805 .062
K1d Lending money to people outside the village .073 .167 .155 -.023 -.005 .073 .075 .207 .470 .435 -.064 -.013 .206 .212
K1e Lending money to people from the same mosque/ church .095 .220 .059 -.016 .071 .123 -.007 .248 .571 .154 -.042 .185 .318 -.017
K2a Lending tools like axes, hoes etc. to family members -.090 -.009 .264 -.019 .141 .096 .066 -.213 -.022 .625 -.045 .335 .228 .158
K2b Lending tools like axes, hoes etc. to relatives outside the household -.085 -.048 .380 -.101 .040 .075 .065 -.174 -.097 .773 -.206 .081 .152 .133
K2c Lending tools like axes, hoes etc. to people in your own village .029 -.040 .345 -.023 .069 .052 .092 .059 -.081 .697 -.047 .140 .105 .186
K2d Lending tools like axes, hoes etc. to people outside the village .053 .084 .370 .043 -.073 .016 .027 .113 .182 .795 .093 -.158 .035 .058
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .040 .113 .305 .109 -.006 .094 -.043 .087 .246 .666 .239 -.014 .205 -.094
L2 Participated in cooperative agricultural work -.036 .141 .105 .032 -.026 .010 .439 -.072 .279 .208 .063 -.051 .020 .872
L3.a. Participated last 12 months in cooperative work of preparing a garden -.058 .057 -.029 .097 .030 -.014 .341 -.126 .125 -.062 .213 .066 -.030 .746
L3.b. Participated last12 months in cooperative work of planting .002 .032 .024 .025 .052 -.015 .025 .010 .178 .134 .141 .293 -.084 .140
L3.d. Participated last 12 months in cooperative work of weeding .079 .027 .154 -.094 .017 .037 .269 .175 .059 .343 -.209 .038 .082 .599
L3.e. Participated last 12 months in cooperative work of harvesting -.003 -.032 .034 -.074 .045 -.014 .123 -.010 -.108 .113 -.250 .153 -.046 .414
L3.f. Participated last 12 months in cooperative work of other agriculture work -.005 .100 .030 -.047 -.001 -.003 .013 -.022 .464 .137 -.217 -.004 -.013 .060
L6 Participation in other exchange work than agriculture -.017 .181 .130 -.137 .179 .188 .119 -.033 .360 .258 -.273 .356 .374 .237
L7 Participated in public works without payment during the last year .049 -.019 .043 .027 .029 .053 .030 .228 -.088 .198 .125 .136 .246 .137
L8.a. Participated in school project over the last 12 months .013 -.010 .042 -.099 .102 .239 .162 .028 -.022 .089 -.211 .216 .507 .344
L8.b. Participated in road project over the last 12 months -.022 .236 .119 -.008 .283 .107 -.004 -.045 .475 .238 -.017 .570 .216 -.009
L8.c. Participated in bridge project over the last 12 months -.069 -.109 .017 -.133 .271 .006 .201 -.141 -.224 .035 -.274 .556 .013 .413
L8.d. Participated in church project over the last 12 months .039 .002 .015 .021 .218 -.012 .033 .110 .005 .041 .060 .613 -.034 .093
L8.g. Participated in health centre project over the last 12 months -.053 .205 .001 .016 -.044 .044 .016 -.178 .687 .003 .055 -.149 .148 .054
L8.h. Participated in irrigation project over the last 12 months .010 .029 -.032 -.048 .276 .138 -.026 .026 .078 -.088 -.129 .744 .371 -.069
L8.i. Participated in borehole project over the last 12 months .038 .066 -.037 -.001 -.104 -.024 -.094 .111 .195 -.109 -.004 -.309 -.071 -.278
L8.k. Participated in graveyard clearing project over the last 12 months -.088 .254 .009 -.043 -.028 .009 .058 -.247 .715 .026 -.122 -.080 .025 .163
M1 Most people can be trusted (1) or you cannot be too careful (0) -.072 .223 -.099 .016 .163 .041 -.009 -.154 .481 -.213 .034 .350 .087 -.019
M2.d. Trust in Traditional Authorities .183 -.230 -.009 .171 -.086 -.051 .093 .394 -.495 -.018 .369 -.184 -.110 .201
M2.e. Trust in group village headmen .187 -.168 .059 .216 -.156 .060 .090 .396 -.357 .126 .458 -.332 .127 .190
M2.f. Trust in village headmen .332 -.137 -.017 .141 -.171 .059 -.001 .667 -.275 -.034 .284 -.344 .119 -.003
M2.j. Trust in police .056 -.212 .194 -.082 .054 -.062 .122 .113 -.432 .395 -.166 .109 -.126 .248
M2.l. Trust in teachers .308 -.150 .084 .013 -.021 .042 -.061 .646 -.315 .177 .028 -.044 .088 -.128
M2.m.Trust in school administrators .286 -.264 .112 .042 -.066 -.020 .007 .594 -.547 .231 .087 -.136 -.041 .015
M2.n. Trust in religious leaders .375 -.003 .038 .064 .066 -.080 .083 .785 -.005 .080 .134 .139 -.167 .175
M3.a. Trust in family members .326 .007 -.036 .047 .007 .073 -.032 .739 .016 -.081 .108 .016 .166 -.072
M3.b. Trust in relatives .362 -.004 -.051 -.054 .099 .013 -.065 .717 -.008 -.102 -.106 .197 .025 -.128
M3.c. Trust in people in own village .244 .013 -.010 .248 -.007 -.075 -.047 .525 .029 -.021 .534 -.016 -.161 -.101
M3.d. Trust in people outside the village .083 -.004 -.026 .152 -.044 -.069 -.001 .259 -.011 -.081 .475 -.139 -.215 -.002
M3.e. Trust in people of same ethnic group -.007 -.037 .072 .359 .074 .027 -.030 -.016 -.086 .168 .832 .172 .062 -.069
M3.f. Trust in people outside ethnic group .009 -.034 -.040 .199 -.008 -.063 .005 .029 -.113 -.135 .669 -.027 -.210 .017
M3.g. Trust in people from same church/ mosque .149 -.111 -.080 .279 .262 .064 -.069 .296 -.221 -.159 .555 .519 .127 -.136
M3.h. Trust in people not from same church/ mosque .039 -.029 .089 .218 .228 -.068 .001 .092 -.068 .211 .518 .540 -.161 .003
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 -.481 .477 .313 -.380 .283 .414 .218
2 .616 -.131 .579 .206 .168 .385 .224
3 .256 .336 -.411 .126 .186 .514 -.581
4 -.020 .086 -.203 .360 .813 -.321 .239
5 -.133 .576 .216 .671 -.369 -.132 .033
6 .407 .361 -.467 -.224 -.218 .026 .623
7 .375 .416 .304 -.410 .110 -.543 -.345
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: 0.1133
Component 2: 0.1816
Component 3: 0.7953 Component 1: 0.0870
Component 2: 0.2463
Component 3: 0.6659 Component 1: 0.0594
Component 2: -0.0806
Component 3: 0.6970 Component 1: 0.2066
Component 2: 0.4700
Component 3: 0.4351 Component 1: -0.1740
Component 2: -0.0972
Component 3: 0.7729 Component 1: 0.7850
Component 2: -0.0053
Component 3: 0.0801 Component 1: 0.6458
Component 2: -0.3149
Component 3: 0.1767 Component 1: 0.5939
Component 2: -0.5466
Component 3: 0.2313 Component 1: 0.1754
Component 2: 0.0591
Component 3: 0.3432 Component 1: -0.2132
Component 2: -0.0223
Component 3: 0.6253 Component 1: 0.2475
Component 2: 0.5709
Component 3: 0.1544 Component 1: 0.7385
Component 2: 0.0164
Component 3: -0.0809 Component 1: 0.7173
Component 2: -0.0079
Component 3: -0.1017 Component 1: 0.1133
Component 2: -0.4324
Component 3: 0.3951 Component 1: 0.6671
Component 2: -0.2747
Component 3: -0.0339 Component 1: 0.5253
Component 2: 0.0286
Component 3: -0.0214 Component 1: 0.2282
Component 2: -0.0881
Component 3: 0.1977 Component 1: 0.3964
Component 2: -0.3574
Component 3: 0.1258 Component 1: -0.0332
Component 2: 0.3601
Component 3: 0.2576 Component 1: -0.0449
Component 2: 0.4745
Component 3: 0.2383 Component 1: 0.0923
Component 2: -0.0684
Component 3: 0.2115 Component 1: 0.0444
Component 2: 0.1704
Component 3: 0.1664 Component 1: -0.0221
Component 2: 0.4643
Component 3: 0.1369 Component 1: -0.0723
Component 2: 0.2791
Component 3: 0.2076 Component 1: -0.0438
Component 2: 0.0816
Component 3: 0.1961 Component 1: 0.0097
Component 2: 0.1781
Component 3: 0.1344 Component 1: 0.0623
Component 2: 0.2071
Component 3: 0.0654 Component 1: 0.3944
Component 2: -0.4945
Component 3: -0.0183 Component 1: -0.0162
Component 2: -0.0862
Component 3: 0.1676 Component 1: 0.1101
Component 2: 0.0049
Component 3: 0.0414 Component 1: 0.0280
Component 2: -0.0216
Component 3: 0.0886 Component 1: 0.2587
Component 2: -0.0110
Component 3: -0.0806 Component 1: -0.0097
Component 2: -0.1076
Component 3: 0.1127 Component 1: -0.1782
Component 2: 0.6866
Component 3: 0.0033 Component 1: 0.1115
Component 2: 0.1950
Component 3: -0.1094 Component 1: -0.2467
Component 2: 0.7153
Component 3: 0.0258 Component 1: 0.2958
Component 2: -0.2206
Component 3: -0.1588 Component 1: 0.0265
Component 2: 0.0775
Component 3: -0.0876 Component 1: -0.1407
Component 2: -0.2239
Component 3: 0.0352 Component 1: -0.1260
Component 2: 0.1252
Component 3: -0.0623 Component 1: 0.0287
Component 2: -0.1134
Component 3: -0.1349 Component 1: -0.1545
Component 2: 0.4807
Component 3: -0.2131