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


Contents
Previous
Next
Help
Controls disabled by the system
 

 
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

{"copyright":"(C) Copyright IBM Corp. 2011","grammar":[{"elements":[{"data":{"$ref":"dSource"},"style":{"outline":{"r":0,"b":0,"g":0},"fill":{"r":0,"b":157,"g":100},"stroke":{"width":3.3333333}},"position":[{"field":{"$ref":"fVariable1"}},{"field":{"$ref":"fVariable"}}],"type":"line"},{"data":{"$ref":"dSource"},"style":{"symbol":"circle","outline":{"r":0,"b":157,"g":100},"size":6.6666665,"fill":{"r":119,"b":119,"g":118}},"position":[{"field":{"$ref":"fVariable1"}},{"field":{"$ref":"fVariable"}}],"type":"point"}],"coordinates":{"style":{"outline":{"r":0,"b":157,"g":100},"fill":{"r":255,"b":255,"g":255}},"dimensions":[{"scale":{"padding":{"left":"5%","right":"5%"}},"axis":[{"tickStyle":{"padding":5.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"8pt","weight":"normal","family":"sans-serif"}},"gridStyle":{"fill":{"r":0,"b":157,"g":100}},"lineStyle":{"fill":{"r":0,"b":157,"g":100},"stroke":{"width":0.6666667}},"titleStyle":{"padding":6.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"title":["Eigenvalue"],"markStyle":{"fill":{"a":0,"r":0,"b":157,"g":100},"stroke":{"width":1.3333334}}}]},{"scale":{"padding":{"left":"5%","right":"5%"}},"axis":[{"tickStyle":{"padding":5.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"normal","family":"sans-serif"}},"lineStyle":{"fill":{"r":0,"b":157,"g":100},"stroke":{"width":0.6666667}},"titleStyle":{"padding":6.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"title":["Component Number"],"markStyle":{"fill":{"a":0,"r":0,"b":157,"g":100},"stroke":{"width":1.3333334}}}]}]}}],"data":[{"id":"dSource","fields":[{"id":"fVariable","label":"Component Number","categories":[]},{"min":9.328821538259126E-4,"max":1.384976222128292,"id":"fVariable1","label":"Eigenvalue"}],"rows":[[0,1.384976222128292],[1,1.094990692289191],[2,0.6871298090789156],[3,0.5597983058546251],[4,0.4424190160449303],[5,0.407748094355652],[6,0.3203939030046961],[7,0.2828848445719793],[8,0.2646532795785337],[9,0.2332174765981772],[10,0.2113608243091557],[11,0.1902017187418314],[12,0.1675425776710737],[13,0.1623506497183993],[14,0.1570946491982022],[15,0.1537687498078349],[16,0.1257850430210652],[17,0.1125501785786817],[18,0.09914722951315362],[19,0.09012408367895904],[20,0.08548124900875054],[21,0.06871351975349894],[22,0.06682620376271421],[23,0.05985979722757449],[24,0.05491229014116307],[25,0.05157401455730492],[26,0.05029857894959096],[27,0.04334853581070539],[28,0.03422858765620875],[29,0.0324732746922131],[30,0.02537878803030632],[31,0.02460803694415215],[32,0.01916016353207142],[33,0.01780282967676619],[34,0.01573165541719345],[35,0.0144886447713957],[36,0.01202559058920538],[37,0.01017732886365247],[38,0.007487519827862352],[39,0.004325250596316705],[40,0.003164874863188895],[41,9.328821538259126E-4]]}],"size":{"width":850.0,"height":500.0},"style":{"outline":{"a":0.0,"r":0,"b":0,"g":0},"fill":{"r":255,"b":255,"g":255}},"titles":[{"backgroundStyle":{"outline":{"a":0.0,"r":0,"b":0,"g":0},"fill":{"a":0.0,"r":0,"b":0,"g":0}},"style":{"padding":3.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"type":"title","content":["Scree Plot"]}],"version":"6.0"}

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