IBM SPSS Web Report - 55 binary variables PC varimax 15 factors.spv   


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Log
Log - Log - January 31, 2020

FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L1a L1b L1c L1d L1e L1f L1g L1h L2 L3a L3b L3c
    L3d L3e L3f L6 L7 L8a L8b L8c L8d L8f L8g L8h L8i L8j L8k L8l M1trust M2dTradBIN M2eGVHBIN M2fVHBIN
    M2jPoliceBIN M2kTradeBIN M2lTeachBIN M2mSchABIN M2nRelLeBIN M3aFamilBIN M3bRelatBIN M3cOwnVBIN
    M3dOutsVBIN M3eSaEthBIN M3fOutsEtBIN M3gSaChMBIN M3hNSaChMBIN
  /MISSING LISTWISE
  /ANALYSIS K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L1a L1b L1c L1d L1e L1f L1g L1h L2 L3a L3b L3c
    L3d L3e L3f L6 L7 L8a L8b L8c L8d L8f L8g L8h L8i L8j L8k L8l M1trust M2dTradBIN M2eGVHBIN M2fVHBIN
    M2jPoliceBIN M2kTradeBIN M2lTeachBIN M2mSchABIN M2nRelLeBIN M3aFamilBIN M3bRelatBIN M3cOwnVBIN
    M3dOutsVBIN M3eSaEthBIN M3fOutsEtBIN M3gSaChMBIN M3hNSaChMBIN
  /PRINT UNIVARIATE INITIAL EXTRACTION ROTATION
  /PLOT EIGEN ROTATION
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - January 31, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 57 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .45 .499 209
K1b Lending money to relatives .49 .501 209
K1c Lending money to people in your own village .40 .490 209
K1d Lending money to people outside the village .16 .366 209
K1e Lending money to people from the same mosque/ church .16 .370 209
K2a Lending tools like axes, hoes etc. to family members .72 .451 209
K2b Lending tools like axes, hoes etc. to relatives outside the household .78 .419 209
K2c Lending tools like axes, hoes etc. to people in your own village .65 .478 209
K2d Lending tools like axes, hoes etc. to people outside the village .23 .425 209
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .26 .441 209
L1a Member of local farmers groups .19 .391 209
L1b Member of NASFAM .04 .203 209
L1c Member of other farmers groups such as TAMA .09 .288 209
L1d Member of credit clubs, revolving funds, SACCOS .04 .192 209
L1e Member of water user associations .04 .203 209
L1f Member of dance, music and cultural groups .13 .341 209
L1g Member of religious groups .51 .501 209
L1h Member of home based care groups .09 .288 209
L2 Participated in cooperative agricultural work .39 .488 209
L3.a. Participated last 12 months in cooperative work of preparing a garden .20 .402 209
L3.b. Participated last12 months in cooperative work of planting .07 .251 209
L3.c. Participated last 12 months in cooperative work of irrigating .01 .119 209
L3.d. Participated last 12 months in cooperative work of weeding .15 .361 209
L3.e. Participated last 12 months in cooperative work of harvesting .21 .409 209
L3.f. Participated last 12 months in cooperative work of other agriculture work .15 .356 209
L6 Participation in other exchange work than agriculture .52 .501 209
L7 Participated in public works without payment during the last year .79 .409 209
L8.a. Participated in school project over the last 12 months .48 .501 209
L8.b. Participated in road project over the last 12 months .54 .500 209
L8.c. Participated in bridge project over the last 12 months .26 .441 209
L8.d. Participated in church project over the last 12 months .26 .441 209
L8.f. Participated in kindergarten project over the last 12 months .04 .203 209
L8.g. Participated in health centre project over the last 12 months .13 .341 209
L8.h. Participated in irrigation project over the last 12 months .12 .331 209
L8.i. Participated in borehole project over the last 12 months .29 .453 209
L8.j. Participated in dam project over the last 12 months .02 .153 209
L8.k. Participated in graveyard clearing project over the last 12 months .42 .495 209
L8.l. Participated in other projects over the last 12 months .08 .274 209
M1 Most people can be trusted (1) or you cannot be too careful (0) .45 .499 209
M2.d. Trust in Traditional Authorities .58 .495 209
M2.e. Trust in group village headmen .55 .499 209
M2.f. Trust in village headmen .58 .495 209
M2.j. Trust in police .54 .500 209
M2.k. Trust in traders .17 .374 209
M2.l. Trust in teachers .58 .495 209
M2.m.Trust in school administrators .57 .496 209
M2.n. Trust in religious leaders .66 .475 209
M3.a. Trust in family members .81 .391 209
M3.b. Trust in relatives .61 .489 209
M3.c. Trust in people in own village .40 .490 209
M3.d. Trust in people outside the village .21 .409 209
M3.e. Trust in people of same ethnic group .33 .471 209
M3.f. Trust in people outside ethnic group .21 .405 209
M3.g. Trust in people from same church/ mosque .50 .501 209
M3.h. Trust in people not from same church/ mosque .28 .449 209
Factor Analysis
Factor Analysis - Communalities - January 31, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 59 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .249 .199 1.000 .800
K1b Lending money to relatives .251 .194 1.000 .773
K1c Lending money to people in your own village .241 .186 1.000 .773
K1d Lending money to people outside the village .134 .088 1.000 .662
K1e Lending money to people from the same mosque/ church .137 .078 1.000 .567
K2a Lending tools like axes, hoes etc. to family members .204 .161 1.000 .790
K2b Lending tools like axes, hoes etc. to relatives outside the household .175 .118 1.000 .675
K2c Lending tools like axes, hoes etc. to people in your own village .228 .167 1.000 .733
K2d Lending tools like axes, hoes etc. to people outside the village .180 .134 1.000 .745
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .195 .150 1.000 .771
L1a Member of local farmers groups .153 .076 1.000 .497
L1b Member of NASFAM .041 .006 1.000 .136
L1c Member of other farmers groups such as TAMA .083 .023 1.000 .283
L1d Member of credit clubs, revolving funds, SACCOS .037 .005 1.000 .136
L1e Member of water user associations .041 .011 1.000 .275
L1f Member of dance, music and cultural groups .117 .040 1.000 .339
L1g Member of religious groups .251 .225 1.000 .895
L1h Member of home based care groups .083 .026 1.000 .310
L2 Participated in cooperative agricultural work .238 .210 1.000 .881
L3.a. Participated last 12 months in cooperative work of preparing a garden .161 .106 1.000 .657
L3.b. Participated last12 months in cooperative work of planting .063 .021 1.000 .332
L3.c. Participated last 12 months in cooperative work of irrigating .014 .003 1.000 .179
L3.d. Participated last 12 months in cooperative work of weeding .130 .077 1.000 .591
L3.e. Participated last 12 months in cooperative work of harvesting .167 .118 1.000 .707
L3.f. Participated last 12 months in cooperative work of other agriculture work .127 .074 1.000 .580
L6 Participation in other exchange work than agriculture .251 .215 1.000 .859
L7 Participated in public works without payment during the last year .167 .131 1.000 .787
L8.a. Participated in school project over the last 12 months .251 .197 1.000 .785
L8.b. Participated in road project over the last 12 months .250 .200 1.000 .802
L8.c. Participated in bridge project over the last 12 months .195 .142 1.000 .727
L8.d. Participated in church project over the last 12 months .195 .114 1.000 .586
L8.f. Participated in kindergarten project over the last 12 months .041 .006 1.000 .142
L8.g. Participated in health centre project over the last 12 months .117 .055 1.000 .474
L8.h. Participated in irrigation project over the last 12 months .109 .048 1.000 .438
L8.i. Participated in borehole project over the last 12 months .206 .154 1.000 .751
L8.j. Participated in dam project over the last 12 months .023 .002 1.000 .099
L8.k. Participated in graveyard clearing project over the last 12 months .245 .211 1.000 .861
L8.l. Participated in other projects over the last 12 months .075 .017 1.000 .227
M1 Most people can be trusted (1) or you cannot be too careful (0) .249 .201 1.000 .807
M2.d. Trust in Traditional Authorities .245 .199 1.000 .813
M2.e. Trust in group village headmen .249 .208 1.000 .835
M2.f. Trust in village headmen .245 .188 1.000 .766
M2.j. Trust in police .250 .195 1.000 .780
M2.k. Trust in traders .140 .074 1.000 .526
M2.l. Trust in teachers .245 .195 1.000 .795
M2.m.Trust in school administrators .246 .205 1.000 .833
M2.n. Trust in religious leaders .225 .164 1.000 .729
M3.a. Trust in family members .153 .085 1.000 .559
M3.b. Trust in relatives .240 .186 1.000 .776
M3.c. Trust in people in own village .241 .166 1.000 .688
M3.d. Trust in people outside the village .167 .101 1.000 .607
M3.e. Trust in people of same ethnic group .222 .168 1.000 .756
M3.f. Trust in people outside ethnic group .164 .111 1.000 .678
M3.g. Trust in people from same church/ mosque .251 .198 1.000 .788
M3.h. Trust in people not from same church/ mosque .201 .143 1.000 .708
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - January 31, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 115 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 1.557 16.293 16.293 1.557 16.293 16.293 .868 9.086 9.086
2 1.153 12.067 28.360 1.153 12.067 28.360 .576 6.031 15.116
3 .704 7.366 35.726 .704 7.366 35.726 .601 6.292 21.409
4 .488 5.104 40.830 .488 5.104 40.830 .643 6.728 28.136
5 .434 4.542 45.373 .434 4.542 45.373 .426 4.453 32.590
6 .362 3.787 49.160 .362 3.787 49.160 .438 4.588 37.178
7 .301 3.154 52.314 .301 3.154 52.314 .447 4.678 41.856
8 .285 2.987 55.301 .285 2.987 55.301 .407 4.261 46.117
9 .255 2.669 57.970 .255 2.669 57.970 .441 4.620 50.736
10 .245 2.565 60.535 .245 2.565 60.535 .398 4.168 54.905
11 .228 2.387 62.922 .228 2.387 62.922 .421 4.409 59.314
12 .205 2.143 65.065 .205 2.143 65.065 .276 2.885 62.199
13 .197 2.061 67.126 .197 2.061 67.126 .309 3.231 65.430
14 .185 1.932 69.057 .185 1.932 69.057 .239 2.497 67.927
15 .175 1.834 70.892 .175 1.834 70.892 .283 2.965 70.892
16 .169 1.771 72.663            
17 .146 1.531 74.195            
18 .142 1.485 75.680            
19 .135 1.416 77.096            
20 .128 1.344 78.440            
21 .127 1.325 79.765            
22 .121 1.264 81.030            
23 .110 1.154 82.183            
24 .107 1.121 83.304            
25 .105 1.099 84.403            
26 .095 .998 85.401            
27 .094 .982 86.383            
28 .093 .969 87.352            
29 .084 .879 88.231            
30 .083 .864 89.095            
31 .080 .840 89.935            
32 .073 .764 90.699            
33 .070 .730 91.430            
34 .066 .694 92.123            
35 .065 .677 92.801            
36 .064 .668 93.468            
37 .058 .603 94.072            
38 .056 .585 94.657            
39 .050 .523 95.180            
40 .047 .496 95.675            
41 .043 .445 96.120            
42 .042 .436 96.556            
43 .038 .399 96.955            
44 .038 .393 97.348            
45 .035 .365 97.713            
46 .033 .342 98.055            
47 .030 .313 98.368            
48 .028 .297 98.665            
49 .026 .269 98.934            
50 .024 .254 99.188            
51 .023 .242 99.430            
52 .020 .213 99.643            
53 .014 .151 99.794            
54 .012 .125 99.919            
55 .008 .081 100.000            
Rescaled 1 1.557 16.293 16.293 7.148 12.997 12.997 4.153 7.551 7.551
2 1.153 12.067 28.360 5.823 10.586 23.583 3.456 6.283 13.834
3 .704 7.366 35.726 3.727 6.776 30.359 2.917 5.303 19.137
4 .488 5.104 40.830 2.532 4.604 34.962 2.786 5.066 24.203
5 .434 4.542 45.373 2.217 4.030 38.993 2.446 4.447 28.650
6 .362 3.787 49.160 1.847 3.358 42.351 2.444 4.444 33.094
7 .301 3.154 52.314 1.520 2.764 45.115 2.344 4.263 37.357
8 .285 2.987 55.301 1.401 2.548 47.663 2.107 3.831 41.188
9 .255 2.669 57.970 1.229 2.235 49.898 2.010 3.654 44.842
10 .245 2.565 60.535 1.367 2.486 52.383 1.977 3.595 48.437
11 .228 2.387 62.922 1.211 2.201 54.584 1.821 3.311 51.747
12 .205 2.143 65.065 1.057 1.922 56.506 1.453 2.643 54.390
13 .197 2.061 67.126 .920 1.674 58.180 1.430 2.600 56.990
14 .185 1.932 69.057 1.049 1.906 60.086 1.424 2.589 59.579
15 .175 1.834 70.892 1.022 1.859 61.945 1.302 2.367 61.945
16 .169 1.771 72.663            
17 .146 1.531 74.195            
18 .142 1.485 75.680            
19 .135 1.416 77.096            
20 .128 1.344 78.440            
21 .127 1.325 79.765            
22 .121 1.264 81.030            
23 .110 1.154 82.183            
24 .107 1.121 83.304            
25 .105 1.099 84.403            
26 .095 .998 85.401            
27 .094 .982 86.383            
28 .093 .969 87.352            
29 .084 .879 88.231            
30 .083 .864 89.095            
31 .080 .840 89.935            
32 .073 .764 90.699            
33 .070 .730 91.430            
34 .066 .694 92.123            
35 .065 .677 92.801            
36 .064 .668 93.468            
37 .058 .603 94.072            
38 .056 .585 94.657            
39 .050 .523 95.180            
40 .047 .496 95.675            
41 .043 .445 96.120            
42 .042 .436 96.556            
43 .038 .399 96.955            
44 .038 .393 97.348            
45 .035 .365 97.713            
46 .033 .342 98.055            
47 .030 .313 98.368            
48 .028 .297 98.665            
49 .026 .269 98.934            
50 .024 .254 99.188            
51 .023 .242 99.430            
52 .020 .213 99.643            
53 .014 .151 99.794            
54 .012 .125 99.919            
55 .008 .081 100.000            
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 - January 31, 2020
Scree Plot Component Number: 55
Eigenvalue: 0.0078 Component Number: 54
Eigenvalue: 0.0120 Component Number: 53
Eigenvalue: 0.0144 Component Number: 52
Eigenvalue: 0.0203 Component Number: 51
Eigenvalue: 0.0231 Component Number: 50
Eigenvalue: 0.0243 Component Number: 49
Eigenvalue: 0.0257 Component Number: 48
Eigenvalue: 0.0284 Component Number: 47
Eigenvalue: 0.0299 Component Number: 46
Eigenvalue: 0.0327 Component Number: 45
Eigenvalue: 0.0349 Component Number: 44
Eigenvalue: 0.0376 Component Number: 43
Eigenvalue: 0.0381 Component Number: 42
Eigenvalue: 0.0417 Component Number: 41
Eigenvalue: 0.0425 Component Number: 40
Eigenvalue: 0.0474 Component Number: 39
Eigenvalue: 0.0500 Component Number: 38
Eigenvalue: 0.0559 Component Number: 37
Eigenvalue: 0.0576 Component Number: 36
Eigenvalue: 0.0638 Component Number: 35
Eigenvalue: 0.0647 Component Number: 34
Eigenvalue: 0.0663 Component Number: 33
Eigenvalue: 0.0698 Component Number: 32
Eigenvalue: 0.0730 Component Number: 31
Eigenvalue: 0.0803 Component Number: 30
Eigenvalue: 0.0826 Component Number: 29
Eigenvalue: 0.0840 Component Number: 28
Eigenvalue: 0.0926 Component Number: 27
Eigenvalue: 0.0938 Component Number: 26
Eigenvalue: 0.0954 Component Number: 25
Eigenvalue: 0.1051 Component Number: 24
Eigenvalue: 0.1071 Component Number: 23
Eigenvalue: 0.1103 Component Number: 22
Eigenvalue: 0.1208 Component Number: 21
Eigenvalue: 0.1267 Component Number: 20
Eigenvalue: 0.1284 Component Number: 19
Eigenvalue: 0.1353 Component Number: 18
Eigenvalue: 0.1419 Component Number: 17
Eigenvalue: 0.1464 Component Number: 16
Eigenvalue: 0.1693 Component Number: 15
Eigenvalue: 0.1753 Component Number: 14
Eigenvalue: 0.1846 Component Number: 13
Eigenvalue: 0.1970 Component Number: 12
Eigenvalue: 0.2048 Component Number: 11
Eigenvalue: 0.2281 Component Number: 10
Eigenvalue: 0.2451 Component Number: 9
Eigenvalue: 0.2551 Component Number: 8
Eigenvalue: 0.2855 Component Number: 7
Eigenvalue: 0.3014 Component Number: 6
Eigenvalue: 0.3619 Component Number: 5
Eigenvalue: 0.4341 Component Number: 4
Eigenvalue: 0.4878 Component Number: 3
Eigenvalue: 0.7039 Component Number: 2
Eigenvalue: 1.1532 Component Number: 1
Eigenvalue: 1.5571 Component Number: 54
Eigenvalue: 0.0120 Component Number: 53
Eigenvalue: 0.0144 Component Number: 52
Eigenvalue: 0.0203 Component Number: 51
Eigenvalue: 0.0231 Component Number: 50
Eigenvalue: 0.0243 Component Number: 49
Eigenvalue: 0.0257 Component Number: 48
Eigenvalue: 0.0284 Component Number: 47
Eigenvalue: 0.0299 Component Number: 46
Eigenvalue: 0.0327 Component Number: 45
Eigenvalue: 0.0349 Component Number: 44
Eigenvalue: 0.0376 Component Number: 43
Eigenvalue: 0.0381 Component Number: 42
Eigenvalue: 0.0417 Component Number: 41
Eigenvalue: 0.0425 Component Number: 40
Eigenvalue: 0.0474 Component Number: 39
Eigenvalue: 0.0500 Component Number: 38
Eigenvalue: 0.0559 Component Number: 37
Eigenvalue: 0.0576 Component Number: 36
Eigenvalue: 0.0638 Component Number: 35
Eigenvalue: 0.0647 Component Number: 34
Eigenvalue: 0.0663 Component Number: 33
Eigenvalue: 0.0698 Component Number: 32
Eigenvalue: 0.0730 Component Number: 31
Eigenvalue: 0.0803 Component Number: 30
Eigenvalue: 0.0826 Component Number: 29
Eigenvalue: 0.0840 Component Number: 28
Eigenvalue: 0.0926 Component Number: 27
Eigenvalue: 0.0938 Component Number: 26
Eigenvalue: 0.0954 Component Number: 25
Eigenvalue: 0.1051 Component Number: 24
Eigenvalue: 0.1071 Component Number: 23
Eigenvalue: 0.1103 Component Number: 22
Eigenvalue: 0.1208 Component Number: 21
Eigenvalue: 0.1267 Component Number: 20
Eigenvalue: 0.1284 Component Number: 19
Eigenvalue: 0.1353 Component Number: 18
Eigenvalue: 0.1419 Component Number: 17
Eigenvalue: 0.1464 Component Number: 16
Eigenvalue: 0.1693 Component Number: 15
Eigenvalue: 0.1753 Component Number: 14
Eigenvalue: 0.1846 Component Number: 13
Eigenvalue: 0.1970 Component Number: 12
Eigenvalue: 0.2048 Component Number: 11
Eigenvalue: 0.2281 Component Number: 10
Eigenvalue: 0.2451 Component Number: 9
Eigenvalue: 0.2551 Component Number: 8
Eigenvalue: 0.2855 Component Number: 7
Eigenvalue: 0.3014 Component Number: 6
Eigenvalue: 0.3619 Component Number: 5
Eigenvalue: 0.4341 Component Number: 4
Eigenvalue: 0.4878 Component Number: 3
Eigenvalue: 0.7039 Component Number: 2
Eigenvalue: 1.1532 Component Number: 1
Eigenvalue: 1.5571 0.0 0.5 1.0 1.5 2.0 1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55

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Factor Analysis
Factor Analysis - Component Matrix - January 31, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 31 columns and 61 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
K1a Lending money to family members .064 .339 .049 -.116 -.019 -.203 -.031 -.009 -.019 -.107 -.018 .037 .072 -.052 -.012 .129 .680 .098 -.232 -.039 -.407 -.062 -.017 -.038 -.215 -.035 .074 .144 -.103 -.024
K1b Lending money to relatives .091 .355 .025 -.093 -.007 -.197 .001 -.018 -.001 -.033 .076 -.039 .045 -.001 .029 .181 .709 .050 -.185 -.013 -.393 .002 -.036 -.002 -.066 .152 -.077 .089 -.001 .058
K1c Lending money to people in your own village .136 .334 .066 -.062 .044 -.112 -.038 .002 -.001 -.042 .129 -.088 .048 -.015 .055 .278 .681 .134 -.126 .089 -.227 -.078 .004 -.002 -.085 .263 -.179 .098 -.030 .113
K1d Lending money to people outside the village .062 .157 .119 -.003 .035 .009 -.104 -.035 .024 .034 .134 -.069 .023 .084 .014 .170 .430 .324 -.009 .096 .025 -.284 -.097 .066 .093 .367 -.190 .062 .231 .039
K1e Lending money to people from the same mosque/ church .045 .153 .110 -.066 .035 -.024 -.030 -.023 .097 .113 .083 -.049 -.023 -.006 -.024 .121 .414 .298 -.179 .095 -.065 -.080 -.063 .262 .305 .224 -.132 -.063 -.017 -.064
K2a Lending tools like axes, hoes etc. to family members -.024 .261 .084 -.062 -.120 .048 -.039 -.039 -.099 -.116 -.178 .072 .022 -.012 .027 -.053 .578 .187 -.137 -.266 .107 -.086 -.088 -.220 -.258 -.394 .159 .050 -.027 .059
K2b Lending tools like axes, hoes etc. to relatives outside the household -.006 .208 .103 -.047 -.146 .098 .070 -.019 -.122 -.032 -.042 -.025 .059 -.025 -.062 -.015 .497 .245 -.111 -.349 .234 .167 -.045 -.292 -.076 -.099 -.059 .140 -.060 -.148
K2c Lending tools like axes, hoes etc. to people in your own village -.049 .220 .197 -.091 -.085 .115 .112 -.087 -.087 -.030 .005 .014 -.033 .108 .083 -.103 .461 .413 -.190 -.179 .241 .235 -.182 -.182 -.064 .010 .030 -.068 .226 .174
K2d Lending tools like axes, hoes etc. to people outside the village .005 .079 .205 -.146 .002 .151 .035 -.125 .021 .109 .011 -.081 -.027 .071 -.014 .012 .186 .483 -.344 .004 .356 .083 -.294 .050 .256 .025 -.190 -.063 .168 -.034
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.030 .075 .239 -.148 -.007 .104 .048 -.142 .018 .144 -.054 .037 -.039 -.068 .008 -.069 .170 .542 -.334 -.015 .235 .109 -.322 .041 .326 -.121 .084 -.088 -.154 .018
L1a Member of local farmers groups .016 .056 .092 .003 .092 .003 -.145 -.042 -.053 .047 .027 .042 .050 .020 -.149 .041 .143 .235 .007 .235 .008 -.371 -.107 -.136 .120 .069 .108 .128 .051 -.382
L1b Member of NASFAM .007 .036 -.007 .035 .031 .017 -.021 -.007 -.001 .000 -.009 .010 .003 .022 -.024 .032 .179 -.034 .171 .151 .084 -.102 -.032 -.005 -.001 -.044 .047 .016 .110 -.120
L1c Member of other farmers groups such as TAMA .012 .028 -.008 .008 .027 .089 -.042 -.025 -.004 -.037 -.008 .024 .007 .096 -.015 .042 .096 -.028 .029 .092 .309 -.144 -.086 -.014 -.129 -.028 .082 .025 .332 -.052
L1d Member of credit clubs, revolving funds, SACCOS -.006 -.010 .035 .012 .006 -.015 .013 -.012 .000 .037 -.032 -.015 -.006 .008 -.015 -.029 -.050 .184 .063 .031 -.076 .068 -.062 .001 .192 -.167 -.079 -.034 .040 -.075
L1e Member of water user associations -.047 .002 .042 .022 -.032 .037 -.006 .007 .007 .033 -.009 .004 .002 -.019 .053 -.230 .010 .207 .106 -.159 .181 -.028 .034 .036 .161 -.047 .019 .008 -.095 .262
L1f Member of dance, music and cultural groups .095 .113 -.025 .021 -.053 -.006 .061 .011 -.011 -.083 -.002 -.013 .036 .000 .038 .278 .330 -.074 .062 -.156 -.016 .179 .032 -.031 -.245 -.005 -.037 .106 .000 .111
L1g Member of religious groups -.029 .117 .024 .129 -.230 .046 .247 .071 -.022 -.042 .184 .022 -.174 -.054 -.050 -.059 .234 .048 .257 -.459 .092 .492 .142 -.044 -.084 .366 .045 -.347 -.108 -.099
L1h Member of home based care groups -.005 .041 .051 .007 -.021 .039 -.059 .043 .048 .024 .009 .018 .002 -.052 .090 -.017 .144 .178 .025 -.072 .134 -.206 .149 .165 .083 .032 .061 .007 -.181 .311
L2 Participated in cooperative agricultural work .128 .269 .043 .197 .193 .120 .058 .079 .036 .022 -.012 .110 .071 .008 -.015 .263 .551 .088 .404 .394 .247 .119 .161 .074 .046 -.024 .225 .144 .017 -.032
L3.a. Participated last 12 months in cooperative work of preparing a garden .108 .164 .019 .105 .121 .083 -.015 .046 .103 -.003 .072 .118 -.001 .038 .033 .270 .409 .046 .261 .301 .206 -.037 .115 .255 -.006 .179 .293 -.002 .094 .082
L3.b. Participated last12 months in cooperative work of planting .023 .052 .053 .084 .044 .002 -.002 .004 -.003 .035 .025 .045 .003 -.032 .027 .093 .209 .213 .335 .176 .008 -.006 .015 -.013 .140 .102 .181 .012 -.127 .107
L3.c. Participated last 12 months in cooperative work of irrigating .002 .006 .018 .005 .033 .015 -.005 .008 -.012 -.016 -.008 .008 .007 .007 .012 .020 .054 .147 .041 .273 .126 -.039 .070 -.097 -.136 -.063 .070 .062 .057 .105
L3.d. Participated last 12 months in cooperative work of weeding .084 .152 .092 .039 .129 .100 -.063 .016 .020 .025 .023 .042 .009 .046 -.025 .233 .421 .255 .107 .357 .276 -.173 .044 .056 .068 .063 .115 .025 .128 -.069
L3.e. Participated last 12 months in cooperative work of harvesting .090 .164 .025 .207 .104 .087 .075 .064 -.052 -.004 .043 -.008 .033 -.024 .071 .221 .401 .061 .506 .256 .214 .184 .156 -.128 -.011 .105 -.020 .081 -.058 .173
L3.f. Participated last 12 months in cooperative work of other agriculture work .132 .161 -.047 .118 -.005 .005 .047 .046 -.031 .055 -.039 .015 .048 -.021 -.038 .369 .452 -.132 .331 -.014 .013 .131 .129 -.087 .153 -.110 .042 .136 -.059 -.106
L6 Participation in other exchange work than agriculture .062 .276 .097 .079 -.037 -.043 .029 .075 .158 .039 -.184 -.030 -.117 -.043 -.183 .124 .550 .193 .158 -.073 -.086 .058 .150 .315 .078 -.368 -.061 -.235 -.085 -.365
L7 Participated in public works without payment during the last year -.160 -.225 .185 -.090 .041 -.021 -.026 .031 .032 -.028 .043 .051 .011 .007 -.048 -.392 -.551 .453 -.221 .100 -.052 -.064 .077 .078 -.068 .105 .126 .027 .017 -.118
L8.a. Participated in school project over the last 12 months -.078 -.110 .273 .003 .187 -.099 .053 .038 -.018 -.180 .020 .028 -.080 .075 -.096 -.156 -.219 .544 .007 .373 -.198 .105 .076 -.037 -.360 .039 .056 -.160 .150 -.192
L8.b. Participated in road project over the last 12 months -.134 -.137 .333 .012 -.124 -.037 -.067 .042 .030 -.017 .026 .115 .093 -.062 -.040 -.268 -.275 .667 .024 -.248 -.074 -.135 .085 .060 -.034 .052 .230 .187 -.123 -.080
L8.c. Participated in bridge project over the last 12 months -.080 -.068 .215 .056 .062 .028 -.069 .082 .017 -.093 -.143 -.057 -.047 -.020 .173 -.181 -.155 .486 .127 .140 .062 -.156 .186 .039 -.211 -.325 -.128 -.107 -.045 .391
L8.d. Participated in church project over the last 12 months -.060 -.107 .211 .097 .112 -.097 .096 -.004 -.071 .067 .009 -.035 -.022 -.032 .039 -.136 -.243 .479 .221 .255 -.219 .217 -.008 -.160 .151 .021 -.080 -.050 -.073 .088
L8.f. Participated in kindergarten project over the last 12 months -.002 -.034 .046 .008 -.008 -.001 .008 .006 .001 .035 -.022 -.020 -.001 .015 -.007 -.010 -.165 .228 .038 -.041 -.005 .038 .029 .003 .173 -.106 -.100 -.006 .071 -.034
L8.g. Participated in health centre project over the last 12 months -.081 -.031 .130 .072 .011 .000 .061 -.027 .051 .020 -.068 -.082 .080 -.008 -.015 -.239 -.091 .381 .210 .032 -.001 .177 -.079 .150 .059 -.200 -.240 .234 -.024 -.042
L8.h. Participated in irrigation project over the last 12 months -.027 -.007 .114 .058 .088 -.088 -.045 .010 .002 -.036 -.017 -.050 -.054 -.078 -.004 -.083 -.020 .344 .174 .267 -.266 -.137 .029 .005 -.109 -.052 -.151 -.164 -.236 -.012
L8.i. Participated in borehole project over the last 12 months -.068 -.161 .167 .122 .047 -.118 .152 .032 -.092 .093 -.046 -.084 .097 .052 .045 -.150 -.356 .369 .269 .104 -.261 .336 .070 -.204 .205 -.100 -.184 .215 .115 .099
L8.j. Participated in dam project over the last 12 months -.008 -.029 .007 .021 .007 -.009 .015 .002 .016 -.007 -.002 -.013 .004 -.005 .006 -.055 -.188 .046 .139 .043 -.056 .099 .014 .105 -.048 -.016 -.085 .027 -.032 .037
L8.k. Participated in graveyard clearing project over the last 12 months -.153 -.122 .207 .007 -.250 -.049 -.004 .132 .143 .006 .084 .063 .123 .025 .015 -.309 -.247 .418 .013 -.505 -.098 -.008 .266 .289 .012 .169 .127 .248 .051 .030
L8.l. Participated in other projects over the last 12 months .011 -.068 -.041 .002 .013 .011 -.010 -.046 .009 .041 .067 .009 -.003 -.013 -.038 .040 -.249 -.149 .007 .048 .041 -.038 -.170 .034 .150 .246 .032 -.010 -.049 -.139
M1 Most people can be trusted (1) or you cannot be too careful (0) .231 .052 .050 .183 -.186 .053 -.115 .007 .176 .023 -.037 -.147 .012 -.035 .049 .463 .105 .101 .366 -.373 .107 -.230 .013 .352 .046 -.074 -.295 .024 -.069 .099
M2.d. Trust in Traditional Authorities .310 -.099 .026 -.164 .073 .004 .167 .038 .098 -.027 -.028 .112 .014 -.065 .054 .626 -.200 .053 -.332 .148 .008 .337 .077 .198 -.054 -.057 .227 .028 -.132 .109
M2.e. Trust in group village headmen .345 -.093 -.021 -.182 .098 -.005 .134 -.016 .114 .007 -.037 .034 .042 -.026 .023 .692 -.187 -.042 -.364 .197 -.011 .269 -.032 .228 .014 -.075 .068 .083 -.053 .046
M2.f. Trust in village headmen .352 -.063 -.046 -.167 .031 -.044 .113 .035 .067 .037 -.006 -.057 .065 -.004 .005 .710 -.128 -.093 -.337 .062 -.088 .229 .072 .135 .074 -.012 -.116 .130 -.008 .010
M2.j. Trust in police .310 -.082 .048 -.009 .032 .107 .017 .051 .025 -.197 -.015 -.151 .028 .075 -.074 .620 -.164 .096 -.018 .065 .215 .033 .102 .050 -.394 -.030 -.301 .057 .150 -.148
M2.k. Trust in traders .131 -.162 .085 -.003 -.008 .030 .023 .049 .012 .003 .021 -.054 -.012 .125 -.003 .349 -.432 .226 -.009 -.022 .080 .062 .132 .033 .009 .056 -.145 -.031 .334 -.008
M2.l. Trust in teachers .282 -.102 .077 -.120 -.006 .078 -.051 .153 -.124 .008 .065 -.108 -.031 -.124 -.071 .569 -.206 .155 -.242 -.012 .158 -.103 .309 -.250 .016 .132 -.219 -.063 -.251 -.143
M2.m.Trust in school administrators .295 -.075 .077 -.056 .006 .128 -.090 .162 -.183 .067 .010 .017 .052 -.104 .003 .596 -.152 .156 -.114 .011 .259 -.181 .326 -.370 .136 .020 .034 .105 -.209 .007
M2.n. Trust in religious leaders .278 -.047 .005 -.117 -.113 .070 -.097 .109 .033 -.026 -.014 .090 -.080 .122 .035 .585 -.099 .010 -.245 -.237 .147 -.204 .229 .070 -.055 -.030 .190 -.168 .258 .073
M3.a. Trust in family members .163 .007 .024 .010 -.053 -.126 -.044 .057 -.073 .132 -.022 .059 -.041 .076 .011 .417 .017 .062 .025 -.135 -.322 -.113 .146 -.186 .337 -.056 .152 -.104 .194 .029
M3.b. Trust in relatives .294 .057 .043 .029 -.038 -.196 -.021 .070 -.060 .109 -.083 .019 -.128 .093 .032 .600 .116 .087 .059 -.078 -.400 -.044 .144 -.123 .223 -.169 .039 -.261 .191 .065
M3.c. Trust in people in own village .346 -.064 .025 .074 -.095 -.085 .018 -.013 -.067 .033 -.015 .047 .032 .094 -.028 .706 -.130 .051 .150 -.194 -.174 .037 -.026 -.136 .067 -.030 .095 .065 .191 -.056
M3.d. Trust in people outside the village .244 -.063 -.033 .120 -.077 -.004 .006 -.071 -.053 .009 -.014 .019 .080 .020 -.033 .597 -.155 -.081 .293 -.189 -.011 .015 -.174 -.129 .023 -.034 .047 .196 .050 -.080
M3.e. Trust in people of same ethnic group .298 -.137 .041 .101 -.019 -.017 .010 -.187 .007 -.025 -.023 .030 .053 -.063 -.065 .632 -.291 .087 .214 -.040 -.037 .022 -.396 .016 -.053 -.048 .064 .112 -.134 -.137
M3.f. Trust in people outside ethnic group .229 -.112 -.001 .125 -.090 -.027 .016 -.118 .011 -.048 .015 .041 .051 .024 .001 .566 -.275 -.003 .308 -.223 -.067 .040 -.292 .028 -.117 .038 .100 .127 .059 .002
M3.g. Trust in people from same church/ mosque .315 -.081 .113 .058 .029 -.048 -.094 -.136 -.004 -.049 .054 .056 -.147 -.105 .066 .629 -.161 .224 .115 .059 -.095 -.187 -.272 -.008 -.098 .108 .112 -.293 -.209 .132
M3.h. Trust in people not from same church/ mosque .247 -.145 .112 .113 -.027 .019 -.034 -.159 -.018 -.063 .042 -.008 -.035 -.010 .021 .551 -.322 .248 .251 -.060 .042 -.076 -.355 -.040 -.140 .093 -.018 -.078 -.022 .047
Extraction Method: Principal Component Analysis.
a. 15 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - January 31, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 31 columns and 61 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
K1a Lending money to family members -.035 .036 .323 .038 -.095 -.016 .235 .029 .014 .049 -.033 -.116 -.034 -.058 .060 -.069 .073 .648 .077 -.191 -.032 .471 .057 .028 .098 -.065 -.232 -.069 -.117 .120
K1b Lending money to relatives -.038 .053 .385 .032 -.062 .011 .142 -.019 -.046 .071 -.043 -.065 .025 -.036 .029 -.076 .107 .768 .065 -.124 .021 .283 -.037 -.092 .141 -.085 -.130 .050 -.072 .059
K1c Lending money to people in your own village -.006 .113 .391 .027 -.059 .028 .095 .009 -.061 .026 .035 -.006 .021 .018 .005 -.012 .231 .796 .054 -.121 .057 .194 .018 -.124 .053 .071 -.013 .042 .037 .010
K1d Lending money to people outside the village .023 .106 .218 -.069 -.018 .111 -.030 .006 .018 .023 .019 .090 -.025 .032 -.013 .063 .289 .596 -.187 -.050 .303 -.082 .018 .049 .063 .052 .247 -.068 .088 -.036
K1e Lending money to people from the same mosque/ church -.035 .062 .191 .023 .001 .150 -.061 -.002 .016 .030 .006 -.009 -.001 .032 .084 -.095 .167 .516 .063 .004 .407 -.164 -.004 .044 .080 .017 -.025 -.002 .085 .226
K2a Lending tools like axes, hoes etc. to family members -.020 .032 .047 -.068 -.096 .092 .359 -.003 .002 .009 -.019 -.044 -.031 .030 .041 -.045 .070 .104 -.150 -.212 .204 .796 -.007 .005 .020 -.041 -.097 -.068 .067 .092
K2b Lending tools like axes, hoes etc. to relatives outside the household -.012 .024 .068 -.063 .000 .134 .252 -.089 .025 -.044 .084 -.013 .088 -.038 .030 -.028 .058 .162 -.151 -.001 .321 .601 -.213 .060 -.105 .200 -.032 .209 -.091 .071
K2c Lending tools like axes, hoes etc. to people in your own village -.047 .050 .084 -.035 .006 .266 .233 .007 .011 .001 -.055 .061 .118 .022 -.089 -.098 .106 .175 -.073 .012 .556 .489 .014 .023 .001 -.116 .127 .247 .046 -.187
K2d Lending tools like axes, hoes etc. to people outside the village -.017 .005 .059 .019 .052 .343 .022 -.010 .004 -.032 .022 .087 -.011 .015 .008 -.040 .013 .139 .044 .122 .807 .051 -.024 .010 -.076 .053 .204 -.025 .035 .020
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.015 .000 .008 .047 .054 .352 .057 .028 .048 -.018 .008 -.096 -.020 .058 .030 -.035 .000 .018 .107 .122 .798 .130 .064 .109 -.040 .017 -.218 -.045 .131 .067
L1a Member of local farmers groups .024 .104 .059 -.100 -.020 .081 -.030 .037 .067 .021 .073 -.024 -.136 -.107 .031 .061 .266 .152 -.255 -.052 .208 -.077 .095 .171 .054 .188 -.061 -.348 -.273 .080
L1b Member of NASFAM .004 .057 .002 -.027 -.010 .000 .004 -.002 -.015 .001 -.009 .011 -.020 -.019 .017 .018 .280 .008 -.133 -.050 -.001 .019 -.012 -.075 .006 -.045 .053 -.099 -.096 .084
L1c Member of other farmers groups such as TAMA .010 .067 -.030 -.032 -.057 .036 .024 -.011 -.010 -.011 -.022 .091 -.041 -.026 -.022 .036 .233 -.103 -.110 -.199 .124 .082 -.038 -.033 -.039 -.076 .315 -.141 -.091 -.075
L1d Member of credit clubs, revolving funds, SACCOS .003 -.003 -.010 -.005 .054 .027 -.002 .007 -.001 .019 -.007 -.006 -.011 -.006 .025 .016 -.015 -.050 -.027 .280 .143 -.010 .036 -.006 .099 -.034 -.030 -.055 -.029 .129
L1e Member of water user associations -.018 .005 -.024 -.030 .027 .031 .013 -.010 .025 -.009 -.006 -.014 .013 .080 -.010 -.088 .026 -.117 -.148 .133 .154 .062 -.050 .125 -.043 -.029 -.070 .065 .391 -.051
L1f Member of dance, music and cultural groups .052 .042 .080 .048 -.030 -.049 .119 -.045 -.039 -.007 -.004 .023 .068 .006 .000 .154 .124 .235 .141 -.089 -.142 .348 -.132 -.114 -.020 -.011 .067 .200 .017 .001
L1g Member of religious groups .005 .026 .009 -.060 -.024 .015 .046 -.035 .041 -.005 -.004 -.027 .460 -.012 .049 .009 .052 .017 -.120 -.048 .030 .092 -.070 .081 -.010 -.007 -.053 .917 -.023 .098
L1h Member of home based care groups -.019 .039 .025 -.003 -.024 .018 .008 .004 .038 .000 .017 -.018 -.006 .142 .005 -.065 .134 .085 -.009 -.085 .064 .027 .015 .131 .000 .060 -.063 -.021 .492 .018
L2 Participated in cooperative agricultural work .000 .439 .053 .044 .008 -.005 .072 -.028 -.048 -.007 .001 -.016 .016 .001 .058 -.001 .900 .109 .091 .017 -.011 .148 -.056 -.097 -.014 .003 -.033 .033 .001 .119
L3.a. Participated last 12 months in cooperative work of preparing a garden .015 .291 .062 .051 -.090 .005 -.025 .007 .003 .017 -.044 .028 .022 .048 .018 .038 .724 .154 .126 -.223 .013 -.062 .018 .008 .041 -.110 .069 .054 .119 .045
L3.b. Participated last12 months in cooperative work of planting .027 .114 .023 -.017 .027 .008 -.008 .022 .009 .019 .001 -.052 .017 .038 -.006 .107 .455 .094 -.068 .108 .034 -.034 .087 .037 .074 .003 -.209 .069 .151 -.022
L3.c. Participated last 12 months in cooperative work of irrigating -.005 .031 -.004 .004 .003 .001 .015 .023 -.003 -.006 .007 .010 -.016 .003 -.018 -.044 .261 -.037 .034 .029 .008 .124 .193 -.023 -.050 .056 .080 -.131 .028 -.148
L3.d. Participated last 12 months in cooperative work of weeding .000 .232 .067 -.004 -.039 .093 .011 .031 -.006 .014 .037 .047 -.053 .006 .028 -.001 .643 .187 -.011 -.107 .257 .030 .085 -.017 .039 .102 .131 -.146 .016 .076
L3.e. Participated last 12 months in cooperative work of harvesting .034 .282 .051 -.017 .064 -.049 .053 -.014 -.095 -.024 .045 .000 .097 .056 -.031 .084 .689 .124 -.042 .156 -.120 .131 -.033 -.234 -.059 .111 -.001 .236 .138 -.075
L3.f. Participated last 12 months in cooperative work of other agriculture work .048 .165 .052 .011 .018 -.051 .075 -.113 -.067 .060 .041 -.043 .041 -.022 .079 .134 .463 .147 .031 .049 -.143 .212 -.317 -.188 .170 .114 -.120 .114 -.061 .221
L6 Participation in other exchange work than agriculture -.042 .134 .085 .006 .022 .054 .131 .023 -.019 .071 -.034 -.023 .056 -.010 .396 -.083 .267 .169 .012 .044 .108 .262 .046 -.037 .142 -.069 -.046 .112 -.019 .791
L7 Participated in public works without payment during the last year -.067 -.107 -.092 .003 .078 .058 -.092 .168 .225 -.052 .012 .019 -.054 -.024 -.061 -.163 -.261 -.225 .008 .191 .141 -.225 .411 .550 -.128 .029 .046 -.132 -.059 -.150
L8.a. Participated in school project over the last 12 months -.027 .035 -.010 .017 .126 .020 .004 .364 .132 -.024 -.021 .080 .007 -.142 -.028 -.053 .069 -.019 .034 .251 .041 .007 .726 .264 -.048 -.041 .160 .015 -.283 -.057
L8.b. Participated in road project over the last 12 months .035 -.054 -.038 -.071 .115 .070 .035 .123 .381 -.022 .036 -.051 -.015 .073 -.005 .070 -.108 -.076 -.141 .229 .141 .071 .247 .763 -.045 .072 -.102 -.031 .147 -.010
L8.c. Participated in bridge project over the last 12 months -.033 .008 -.069 -.023 .127 -.004 .099 .225 .030 -.022 .007 .073 -.069 .218 -.007 -.074 .019 -.156 -.051 .287 -.010 .224 .509 .069 -.049 .015 .164 -.156 .493 -.017
L8.d. Participated in church project over the last 12 months .013 .026 -.014 -.016 .263 .039 -.052 .166 .034 .026 .013 -.066 .035 .008 -.064 .029 .058 -.031 -.035 .596 .089 -.118 .377 .077 .059 .029 -.149 .079 .018 -.146
L8.f. Participated in kindergarten project over the last 12 months .005 -.013 -.019 -.002 .056 .026 -.009 .005 .018 .020 .011 .016 -.006 .009 .014 .026 -.062 -.093 -.012 .277 .126 -.042 .023 .091 .098 .053 .079 -.028 .042 .069
L8.g. Participated in health centre project over the last 12 months .004 .006 -.011 -.021 .191 .034 .026 .015 .054 -.088 -.037 .014 -.022 .026 .050 .011 .018 -.031 -.063 .560 .100 .076 .043 .159 -.258 -.109 .040 -.064 .077 .147
L8.h. Participated in irrigation project over the last 12 months .009 .013 .049 -.040 .079 -.023 -.016 .172 -.003 -.013 .022 -.047 -.024 .030 .052 .027 .039 .149 -.120 .239 -.069 -.048 .520 -.008 -.039 .066 -.141 -.073 .092 .156
L8.i. Participated in borehole project over the last 12 months .010 -.019 -.045 -.006 .367 -.032 -.012 .043 .055 .043 -.004 -.002 .014 -.019 -.092 .022 -.042 -.099 -.014 .810 -.069 -.027 .095 .121 .095 -.008 -.004 .031 -.042 -.204
L8.j. Participated in dam project over the last 12 months .008 -.006 -.011 .006 .030 -.018 -.014 .012 .005 -.016 -.010 .005 .006 .008 .003 .053 -.038 -.073 .041 .193 -.118 -.091 .081 .032 -.102 -.068 .033 .038 .050 .017
L8.k. Participated in graveyard clearing project over the last 12 months -.036 -.111 -.001 -.032 .095 -.019 -.002 -.036 .398 -.007 -.041 .049 .083 .127 .009 -.072 -.224 -.003 -.064 .191 -.038 -.004 -.072 .804 -.013 -.083 .099 .167 .257 .018
L8.l. Participated in other projects over the last 12 months .039 -.017 -.021 -.005 -.019 .012 -.106 -.025 .003 -.017 .010 -.019 -.001 -.036 -.019 .141 -.063 -.077 -.017 -.069 .045 -.386 -.092 .010 -.064 .035 -.069 -.003 -.130 -.069
M1 Most people can be trusted (1) or you cannot be too careful (0) .242 .043 .088 -.019 .013 -.038 .005 -.109 -.004 .023 .042 .126 .027 .233 .214 .485 .086 .177 -.039 .027 -.075 .009 -.219 -.008 .046 .085 .252 .055 .467 .428
M2.d. Trust in Traditional Authorities .116 .023 -.024 .417 -.040 .024 -.005 .031 .008 .052 .064 -.007 .012 -.007 -.019 .235 .047 -.048 .842 -.081 .049 -.011 .062 .016 .105 .129 -.014 .025 -.015 -.038
M2.e. Trust in group village headmen .140 .001 .020 .411 -.029 .037 -.045 -.019 -.055 .044 .060 .034 -.054 -.043 .007 .280 .003 .041 .824 -.058 .074 -.090 -.039 -.110 .088 .120 .068 -.109 -.086 .013
M2.f. Trust in village headmen .124 -.039 .088 .349 .003 -.007 -.040 -.084 -.067 .081 .117 .070 -.026 -.048 .020 .250 -.080 .178 .704 .006 -.013 -.080 -.171 -.135 .163 .236 .141 -.053 -.097 .041
M2.j. Trust in police .199 .033 .019 .163 -.013 -.048 .045 .056 -.048 -.055 .166 .282 -.006 -.060 .055 .399 .066 .038 .326 -.026 -.096 .091 .112 -.097 -.109 .332 .565 -.012 -.120 .109
M2.k. Trust in traders .090 -.025 -.049 .080 .075 .017 -.065 .028 .045 .073 .062 .182 .010 -.008 -.028 .240 -.067 -.131 .213 .201 .045 -.173 .075 .119 .195 .166 .486 .028 -.021 -.076
M2.l. Trust in teachers .097 -.040 .026 .128 -.032 .020 -.035 .042 -.013 .059 .392 .065 .022 .000 .018 .196 -.081 .053 .259 -.064 .040 -.071 .085 -.026 .120 .792 .131 .045 .001 .036
M2.m.Trust in school administrators .114 .077 -.040 .106 -.031 .015 .024 -.025 .015 .119 .383 .013 -.049 .052 -.059 .231 .156 -.081 .214 -.063 .030 .048 -.050 .030 .241 .774 .027 -.099 .106 -.120
M2.n. Trust in religious leaders .106 -.010 -.035 .148 -.191 .023 .028 -.021 .052 .209 .097 .179 -.010 .059 .016 .222 -.020 -.073 .312 -.403 .048 .059 -.044 .110 .439 .204 .378 -.020 .124 .033
M3.a. Trust in family members .066 .011 .041 .022 .020 -.008 -.006 -.033 .008 .273 .045 -.014 -.014 -.009 .007 .170 .029 .105 .056 .051 -.021 -.015 -.084 .021 .698 .116 -.035 -.035 -.022 .017
M3.b. Trust in relatives .125 .026 .094 .086 .033 -.026 .037 .028 -.080 .367 .041 .018 .012 .002 .079 .255 .054 .192 .175 .066 -.053 .075 .058 -.164 .750 .084 .037 .024 .004 .162
M3.c. Trust in people in own village .283 .032 .023 .104 .029 -.046 .026 -.071 .011 .224 .071 .065 .015 -.067 .000 .577 .065 .048 .213 .059 -.093 .053 -.145 .022 .456 .146 .133 .030 -.136 -.001
M3.d. Trust in people outside the village .268 .041 -.020 .036 .021 -.057 .014 -.107 -.017 .072 .053 .022 -.005 -.045 -.003 .655 .101 -.050 .087 .052 -.139 .033 -.263 -.042 .175 .130 .054 -.012 -.111 -.008
M3.e. Trust in people of same ethnic group .381 .017 -.028 .104 .030 .007 -.034 -.005 -.010 .006 .041 -.028 -.042 -.060 .033 .807 .037 -.060 .222 .064 .014 -.072 -.011 -.021 .012 .088 -.060 -.089 -.126 .070
M3.f. Trust in people outside ethnic group .312 .007 -.022 .055 .009 -.054 -.011 -.048 .021 .041 -.019 .034 .020 -.019 -.017 .770 .016 -.055 .137 .021 -.134 -.028 -.118 .051 .102 -.048 .085 .049 -.048 -.042
M3.g. Trust in people from same church/ mosque .338 .029 .044 .086 -.081 .048 -.069 .182 -.053 .104 .071 -.047 .006 .077 -.001 .674 .059 .088 .171 -.163 .096 -.138 .363 -.106 .207 .142 -.093 .013 .154 -.002
M3.h. Trust in people not from same church/ mosque .351 .008 -.018 .029 .019 .040 -.045 .084 -.009 .021 .045 .056 .012 .023 -.032 .781 .018 -.040 .066 .042 .090 -.101 .188 -.020 .047 .101 .124 .026 .052 -.071
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 13 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - January 31, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 16 columns and 18 rows
Component 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
1 .619 .196 .174 .484 -.138 -.028 .008 -.086 -.185 .329 .329 .166 -.013 -.020 .097
2 -.251 .426 .557 -.150 -.222 .168 .433 -.159 -.203 .028 -.120 -.128 .118 .014 .215
3 .131 .126 .157 -.023 .410 .479 .194 .466 .481 .047 .143 .080 .024 .165 .035
4 .376 .487 -.176 -.454 .324 -.390 -.089 -.006 -.054 -.010 -.166 -.024 .222 .139 .140
5 -.235 .482 .029 .219 .137 -.016 -.306 .436 -.337 -.158 .007 -.052 -.389 -.210 -.158
6 -.029 .323 -.466 -.043 -.241 .403 .046 -.233 -.079 -.408 .280 .314 .070 .204 -.057
7 -.093 .033 -.131 .484 .409 .073 .151 -.124 -.122 -.143 -.195 -.080 .602 -.277 -.096
8 -.532 .174 -.069 .159 .035 -.462 .038 .033 .246 .259 .436 .211 .175 .172 .129
9 -.024 .052 .107 .365 -.102 -.009 -.340 -.044 .246 -.239 -.471 .177 -.044 .305 .509
10 -.175 .082 -.045 -.046 .321 .379 -.430 -.466 -.057 .424 .091 -.287 -.100 .134 .092
11 .038 .087 .431 -.124 -.222 .022 -.540 -.020 .229 -.142 .127 .044 .433 -.080 -.404
12 .041 .338 -.344 .155 -.411 .021 .090 .046 .441 .282 -.261 -.407 -.015 -.110 -.204
13 .074 .137 .203 .118 .276 -.224 .183 -.503 .369 -.339 .072 -.027 -.422 -.083 -.256
14 -.088 .091 -.011 -.117 .053 .092 .019 -.117 .041 .384 -.393 .717 -.094 -.272 -.211
15 -.020 -.030 .074 .162 .048 -.068 .114 .039 -.218 .104 -.222 -.003 .005 .742 -.535
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - January 31, 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: -0.0124
Component 2: 0.2309
Component 3: 0.7964 Component 1: -0.0764
Component 2: 0.1065
Component 3: 0.7684 Component 1: 0.0629
Component 2: 0.2888
Component 3: 0.5960 Component 1: -0.0695
Component 2: 0.0727
Component 3: 0.6482 Component 1: 0.6741
Component 2: 0.0588
Component 3: 0.0876 Component 1: 0.4846
Component 2: 0.0857
Component 3: 0.1768 Component 1: 0.8074
Component 2: 0.0370
Component 3: -0.0603 Component 1: 0.7811
Component 2: 0.0183
Component 3: -0.0396 Component 1: 0.7704
Component 2: 0.0164
Component 3: -0.0550 Component 1: -0.0951
Component 2: 0.1672
Component 3: 0.5163 Component 1: 0.5772
Component 2: 0.0654
Component 3: 0.0478 Component 1: 0.6551
Component 2: 0.1014
Component 3: -0.0497 Component 1: 0.2548
Component 2: 0.0537
Component 3: 0.1923 Component 1: 0.1536
Component 2: 0.1235
Component 3: 0.2346 Component 1: 0.1341
Component 2: 0.4632
Component 3: 0.1467 Component 1: 0.0380
Component 2: 0.7241
Component 3: 0.1540 Component 1: 0.2500
Component 2: -0.0797
Component 3: 0.1780 Component 1: 0.3994
Component 2: 0.0661
Component 3: 0.0385 Component 1: 0.0838
Component 2: 0.6894
Component 3: 0.1239 Component 1: -0.0013
Component 2: 0.6427
Component 3: 0.1868 Component 1: -0.0005
Component 2: 0.8997
Component 3: 0.1095 Component 1: 0.1075
Component 2: 0.4548
Component 3: 0.0936 Component 1: 0.0606
Component 2: 0.2664
Component 3: 0.1516 Component 1: 0.2804
Component 2: 0.0028
Component 3: 0.0408 Component 1: 0.1698
Component 2: 0.0292
Component 3: 0.1049 Component 1: 0.0266
Component 2: 0.0391
Component 3: 0.1488 Component 1: 0.1964
Component 2: -0.0808
Component 3: 0.0532 Component 1: -0.0831
Component 2: 0.2666
Component 3: 0.1690 Component 1: -0.0281
Component 2: 0.0583
Component 3: 0.1618 Component 1: -0.0984
Component 2: 0.1056
Component 3: 0.1753 Component 1: 0.2353
Component 2: 0.0474
Component 3: -0.0482 Component 1: 0.2308
Component 2: 0.1563
Component 3: -0.0807 Component 1: -0.0400
Component 2: 0.0127
Component 3: 0.1395 Component 1: -0.0446
Component 2: 0.0703
Component 3: 0.1042 Component 1: 0.0178
Component 2: 0.2799
Component 3: 0.0080 Component 1: 0.2225
Component 2: -0.0204
Component 3: -0.0729 Component 1: -0.0654
Component 2: 0.1341
Component 3: 0.0854 Component 1: 0.0090
Component 2: 0.0523
Component 3: 0.0171 Component 1: 0.2403
Component 2: -0.0668
Component 3: -0.1312 Component 1: 0.1413
Component 2: -0.0635
Component 3: -0.0768 Component 1: 0.0294
Component 2: 0.0584
Component 3: -0.0310 Component 1: -0.0347
Component 2: 0.0005
Component 3: 0.0183 Component 1: -0.0436
Component 2: 0.2611
Component 3: -0.0375 Component 1: 0.0108
Component 2: 0.0179
Component 3: -0.0312 Component 1: 0.0363
Component 2: 0.2334
Component 3: -0.1034 Component 1: -0.0532
Component 2: 0.0691
Component 3: -0.0190 Component 1: 0.0161
Component 2: -0.0150
Component 3: -0.0495 Component 1: 0.0528
Component 2: -0.0379
Component 3: -0.0735 Component 1: 0.0696
Component 2: -0.1076
Component 3: -0.0760 Component 1: 0.0260
Component 2: -0.0619
Component 3: -0.0932 Component 1: 0.0220
Component 2: -0.0423
Component 3: -0.0994 Component 1: -0.0724
Component 2: -0.2243
Component 3: -0.0025 Component 1: -0.0877
Component 2: 0.0260
Component 3: -0.1165 Component 1: -0.0741
Component 2: 0.0189
Component 3: -0.1561 Component 1: -0.1629
Component 2: -0.2606
Component 3: -0.2251