IBM SPSS Web Report - 39 binary var PC varimax 11 factors.spv   


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Log
Log - Log - February 10, 2020

GET
  FILE='E:\Arkiv\1 MLTSC\04 MLTSC papers and report\Berge2009 Trust games\SPSS files\Data spss files\MLTSC Trust data K-M78vars+BIN.sav'.
DATASET NAME DataSet1 WINDOW=FRONT.
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
  /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
  /PRINT UNIVARIATE INITIAL EXTRACTION ROTATION
  /PLOT EIGEN ROTATION
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.

 - - - - - - - - - - - - - - - - - - - - - - - -   F A C T O R   A N A L Y S I S   - - - - - - - - - - - - - - - - - - - - - - - -

Factor Analysis
Factor Analysis - Active Dataset - February 10, 2020


[DataSet1] E:\Arkiv\1 MLTSC\04 MLTSC papers and report\Berge2009 Trust games\SPSS files\Data spss files\MLTSC Trust data K-M78vars+BIN.sav

Factor Analysis
Factor Analysis - Descriptive Statistics - February 10, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 41 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .46 .500 241
K1b Lending money to relatives .49 .501 241
K1c Lending money to people in your own village .41 .492 241
K1d Lending money to people outside the village .16 .365 241
K1e Lending money to people from the same mosque/ church .17 .380 241
K2a Lending tools like axes, hoes etc. to family members .71 .455 241
K2b Lending tools like axes, hoes etc. to relatives outside the household .75 .433 241
K2c Lending tools like axes, hoes etc. to people in your own village .66 .475 241
K2d Lending tools like axes, hoes etc. to people outside the village .23 .421 241
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .27 .447 241
L1a Member of local farmers groups .18 .387 241
L1b Member of NASFAM .04 .190 241
L1c Member of other farmers groups such as TAMA .09 .283 241
L1d Member of credit clubs, revolving funds, SACCOS .04 .190 241
L1e Member of water user associations .05 .209 241
L1f Member of dance, music and cultural groups .13 .335 241
L1g Member of religious groups .51 .501 241
L1h Member of home based care groups .10 .300 241
L2 Participated in cooperative agricultural work .38 .486 241
L3.a. Participated last 12 months in cooperative work of preparing a garden .19 .390 241
L3.b. Participated last12 months in cooperative work of planting .06 .234 241
L3.c. Participated last 12 months in cooperative work of irrigating .02 .128 241
L3.d. Participated last 12 months in cooperative work of weeding .14 .349 241
L3.e. Participated last 12 months in cooperative work of harvesting .20 .400 241
L3.f. Participated last 12 months in cooperative work of other agriculture work .14 .344 241
L6 Participation in other exchange work than agriculture .52 .501 241
L7 Participated in public works without payment during the last year .80 .397 241
L8.a. Participated in school project over the last 12 months .50 .501 241
L8.b. Participated in road project over the last 12 months .57 .496 241
L8.c. Participated in bridge project over the last 12 months .25 .436 241
L8.d. Participated in church project over the last 12 months .27 .443 241
L8.f. Participated in kindergarten project over the last 12 months .04 .190 241
L8.g. Participated in health centre project over the last 12 months .13 .340 241
L8.h. Participated in irrigation project over the last 12 months .12 .326 241
L8.i. Participated in borehole project over the last 12 months .27 .447 241
L8.j. Participated in dam project over the last 12 months .02 .143 241
L8.k. Participated in graveyard clearing project over the last 12 months .44 .498 241
L8.l. Participated in other projects over the last 12 months .08 .270 241
M1 Most people can be trusted (1) or you cannot be too careful (0) .46 .499 241
Factor Analysis
Factor Analysis - Communalities - February 10, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 43 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .250 .203 1.000 .814
K1b Lending money to relatives .251 .194 1.000 .775
K1c Lending money to people in your own village .242 .186 1.000 .768
K1d Lending money to people outside the village .133 .080 1.000 .596
K1e Lending money to people from the same mosque/ church .145 .087 1.000 .600
K2a Lending tools like axes, hoes etc. to family members .207 .163 1.000 .786
K2b Lending tools like axes, hoes etc. to relatives outside the household .188 .121 1.000 .646
K2c Lending tools like axes, hoes etc. to people in your own village .225 .150 1.000 .665
K2d Lending tools like axes, hoes etc. to people outside the village .177 .132 1.000 .748
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .200 .141 1.000 .705
L1a Member of local farmers groups .150 .056 1.000 .375
L1b Member of NASFAM .036 .004 1.000 .110
L1c Member of other farmers groups such as TAMA .080 .013 1.000 .168
L1d Member of credit clubs, revolving funds, SACCOS .036 .003 1.000 .095
L1e Member of water user associations .044 .010 1.000 .227
L1f Member of dance, music and cultural groups .113 .036 1.000 .319
L1g Member of religious groups .251 .226 1.000 .901
L1h Member of home based care groups .090 .021 1.000 .232
L2 Participated in cooperative agricultural work .236 .208 1.000 .879
L3.a. Participated last 12 months in cooperative work of preparing a garden .152 .092 1.000 .605
L3.b. Participated last12 months in cooperative work of planting .055 .015 1.000 .268
L3.c. Participated last 12 months in cooperative work of irrigating .016 .002 1.000 .142
L3.d. Participated last 12 months in cooperative work of weeding .122 .069 1.000 .566
L3.e. Participated last 12 months in cooperative work of harvesting .160 .112 1.000 .698
L3.f. Participated last 12 months in cooperative work of other agriculture work .119 .068 1.000 .577
L6 Participation in other exchange work than agriculture .251 .225 1.000 .897
L7 Participated in public works without payment during the last year .158 .121 1.000 .767
L8.a. Participated in school project over the last 12 months .251 .226 1.000 .902
L8.b. Participated in road project over the last 12 months .246 .194 1.000 .790
L8.c. Participated in bridge project over the last 12 months .190 .157 1.000 .828
L8.d. Participated in church project over the last 12 months .196 .137 1.000 .699
L8.f. Participated in kindergarten project over the last 12 months .036 .004 1.000 .113
L8.g. Participated in health centre project over the last 12 months .116 .051 1.000 .442
L8.h. Participated in irrigation project over the last 12 months .106 .054 1.000 .507
L8.i. Participated in borehole project over the last 12 months .200 .160 1.000 .801
L8.j. Participated in dam project over the last 12 months .020 .002 1.000 .109
L8.k. Participated in graveyard clearing project over the last 12 months .248 .212 1.000 .854
L8.l. Participated in other projects over the last 12 months .073 .012 1.000 .169
M1 Most people can be trusted (1) or you cannot be too careful (0) .249 .222 1.000 .891
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 10, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 83 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 1.122 18.643 18.643 1.122 18.643 18.643 .521 8.652 8.652
2 .697 11.589 30.233 .697 11.589 30.233 .609 10.130 18.782
3 .444 7.377 37.610 .444 7.377 37.610 .414 6.889 25.671
4 .362 6.024 43.635 .362 6.024 43.635 .436 7.239 32.910
5 .294 4.891 48.525 .294 4.891 48.525 .467 7.757 40.667
6 .278 4.626 53.151 .278 4.626 53.151 .354 5.882 46.549
7 .228 3.789 56.940 .228 3.789 56.940 .272 4.524 51.073
8 .223 3.703 60.643 .223 3.703 60.643 .298 4.948 56.021
9 .182 3.033 63.676 .182 3.033 63.676 .295 4.903 60.924
10 .174 2.891 66.567 .174 2.891 66.567 .258 4.285 65.209
11 .165 2.749 69.316 .165 2.749 69.316 .247 4.107 69.316
12 .145 2.408 71.724            
13 .136 2.261 73.985            
14 .132 2.193 76.178            
15 .120 1.999 78.177            
16 .107 1.781 79.958            
17 .100 1.656 81.613            
18 .097 1.606 83.220            
19 .092 1.537 84.757            
20 .091 1.520 86.277            
21 .082 1.369 87.646            
22 .075 1.247 88.893            
23 .070 1.161 90.054            
24 .068 1.130 91.184            
25 .061 1.018 92.202            
26 .055 .913 93.115            
27 .052 .869 93.985            
28 .050 .823 94.808            
29 .047 .785 95.593            
30 .041 .679 96.272            
31 .038 .634 96.906            
32 .035 .576 97.482            
33 .032 .533 98.015            
34 .029 .483 98.498            
35 .025 .421 98.919            
36 .024 .391 99.310            
37 .016 .267 99.578            
38 .013 .222 99.800            
39 .012 .200 100.000            
Rescaled 1 1.122 18.643 18.643 5.745 14.732 14.732 3.293 8.444 8.444
2 .697 11.589 30.233 3.655 9.372 24.104 2.920 7.486 15.930
3 .444 7.377 37.610 2.521 6.465 30.569 2.352 6.032 21.962
4 .362 6.024 43.635 1.738 4.456 35.025 2.260 5.795 27.757
5 .294 4.891 48.525 1.524 3.907 38.932 2.176 5.580 33.337
6 .278 4.626 53.151 1.370 3.512 42.444 2.133 5.470 38.807
7 .228 3.789 56.940 1.265 3.243 45.687 1.674 4.293 43.099
8 .223 3.703 60.643 1.328 3.406 49.093 1.441 3.695 46.794
9 .182 3.033 63.676 .938 2.404 51.498 1.350 3.460 50.254
10 .174 2.891 66.567 .969 2.485 53.983 1.315 3.371 53.625
11 .165 2.749 69.316 .979 2.510 56.493 1.118 2.868 56.493
12 .145 2.408 71.724            
13 .136 2.261 73.985            
14 .132 2.193 76.178            
15 .120 1.999 78.177            
16 .107 1.781 79.958            
17 .100 1.656 81.613            
18 .097 1.606 83.220            
19 .092 1.537 84.757            
20 .091 1.520 86.277            
21 .082 1.369 87.646            
22 .075 1.247 88.893            
23 .070 1.161 90.054            
24 .068 1.130 91.184            
25 .061 1.018 92.202            
26 .055 .913 93.115            
27 .052 .869 93.985            
28 .050 .823 94.808            
29 .047 .785 95.593            
30 .041 .679 96.272            
31 .038 .634 96.906            
32 .035 .576 97.482            
33 .032 .533 98.015            
34 .029 .483 98.498            
35 .025 .421 98.919            
36 .024 .391 99.310            
37 .016 .267 99.578            
38 .013 .222 99.800            
39 .012 .200 100.000            
Extraction Method: Principal Component Analysis.
a. When analyzing a covariance matrix, the initial eigenvalues are the same across the raw and rescaled solution.
Factor Analysis
Factor Analysis - Scree Plot - February 10, 2020
Scree Plot Component Number: 39
Eigenvalue: 0.0120 Component Number: 38
Eigenvalue: 0.0134 Component Number: 37
Eigenvalue: 0.0161 Component Number: 36
Eigenvalue: 0.0235 Component Number: 35
Eigenvalue: 0.0254 Component Number: 34
Eigenvalue: 0.0291 Component Number: 33
Eigenvalue: 0.0320 Component Number: 32
Eigenvalue: 0.0347 Component Number: 31
Eigenvalue: 0.0381 Component Number: 30
Eigenvalue: 0.0409 Component Number: 29
Eigenvalue: 0.0472 Component Number: 28
Eigenvalue: 0.0495 Component Number: 27
Eigenvalue: 0.0523 Component Number: 26
Eigenvalue: 0.0549 Component Number: 25
Eigenvalue: 0.0612 Component Number: 24
Eigenvalue: 0.0680 Component Number: 23
Eigenvalue: 0.0698 Component Number: 22
Eigenvalue: 0.0750 Component Number: 21
Eigenvalue: 0.0823 Component Number: 20
Eigenvalue: 0.0915 Component Number: 19
Eigenvalue: 0.0925 Component Number: 18
Eigenvalue: 0.0966 Component Number: 17
Eigenvalue: 0.0996 Component Number: 16
Eigenvalue: 0.1071 Component Number: 15
Eigenvalue: 0.1203 Component Number: 14
Eigenvalue: 0.1319 Component Number: 13
Eigenvalue: 0.1360 Component Number: 12
Eigenvalue: 0.1449 Component Number: 11
Eigenvalue: 0.1654 Component Number: 10
Eigenvalue: 0.1739 Component Number: 9
Eigenvalue: 0.1825 Component Number: 8
Eigenvalue: 0.2228 Component Number: 7
Eigenvalue: 0.2279 Component Number: 6
Eigenvalue: 0.2783 Component Number: 5
Eigenvalue: 0.2942 Component Number: 4
Eigenvalue: 0.3624 Component Number: 3
Eigenvalue: 0.4438 Component Number: 2
Eigenvalue: 0.6972 Component Number: 1
Eigenvalue: 1.1216 Component Number: 38
Eigenvalue: 0.0134 Component Number: 37
Eigenvalue: 0.0161 Component Number: 36
Eigenvalue: 0.0235 Component Number: 35
Eigenvalue: 0.0254 Component Number: 34
Eigenvalue: 0.0291 Component Number: 33
Eigenvalue: 0.0320 Component Number: 32
Eigenvalue: 0.0347 Component Number: 31
Eigenvalue: 0.0381 Component Number: 30
Eigenvalue: 0.0409 Component Number: 29
Eigenvalue: 0.0472 Component Number: 28
Eigenvalue: 0.0495 Component Number: 27
Eigenvalue: 0.0523 Component Number: 26
Eigenvalue: 0.0549 Component Number: 25
Eigenvalue: 0.0612 Component Number: 24
Eigenvalue: 0.0680 Component Number: 23
Eigenvalue: 0.0698 Component Number: 22
Eigenvalue: 0.0750 Component Number: 21
Eigenvalue: 0.0823 Component Number: 20
Eigenvalue: 0.0915 Component Number: 19
Eigenvalue: 0.0925 Component Number: 18
Eigenvalue: 0.0966 Component Number: 17
Eigenvalue: 0.0996 Component Number: 16
Eigenvalue: 0.1071 Component Number: 15
Eigenvalue: 0.1203 Component Number: 14
Eigenvalue: 0.1319 Component Number: 13
Eigenvalue: 0.1360 Component Number: 12
Eigenvalue: 0.1449 Component Number: 11
Eigenvalue: 0.1654 Component Number: 10
Eigenvalue: 0.1739 Component Number: 9
Eigenvalue: 0.1825 Component Number: 8
Eigenvalue: 0.2228 Component Number: 7
Eigenvalue: 0.2279 Component Number: 6
Eigenvalue: 0.2783 Component Number: 5
Eigenvalue: 0.2942 Component Number: 4
Eigenvalue: 0.3624 Component Number: 3
Eigenvalue: 0.4438 Component Number: 2
Eigenvalue: 0.6972 Component Number: 1
Eigenvalue: 1.1216 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39

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Factor Analysis
Factor Analysis - Component Matrix - February 10, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 23 columns and 45 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 10 11 1 2 3 4 5 6 7 8 9 10 11
K1a Lending money to family members .343 .085 -.144 -.086 -.193 .020 -.082 -.012 .010 .063 -.041 .685 .171 -.289 -.173 -.387 .040 -.164 -.023 .019 .127 -.081
K1b Lending money to relatives .364 .043 -.107 -.095 -.175 .000 .045 .070 .047 .004 .016 .726 .086 -.213 -.190 -.349 -.001 .089 .141 .093 .008 .031
K1c Lending money to people in your own village .361 .052 -.026 -.100 -.160 .018 .103 .032 .044 -.039 -.032 .734 .105 -.053 -.203 -.325 .037 .209 .065 .090 -.080 -.066
K1d Lending money to people outside the village .182 .081 .046 -.051 .000 .069 .156 -.007 .071 -.027 .017 .500 .221 .125 -.139 -.001 .188 .427 -.020 .193 -.074 .047
K1e Lending money to people from the same mosque/ church .174 .108 .014 -.050 -.013 .116 .130 .031 -.035 -.011 .096 .458 .284 .037 -.132 -.035 .305 .342 .082 -.092 -.030 .252
K2a Lending tools like axes, hoes etc. to family members .247 .125 -.140 .038 .072 -.025 -.226 -.035 .048 -.001 -.065 .544 .274 -.309 .084 .159 -.054 -.497 -.076 .106 -.003 -.143
K2b Lending tools like axes, hoes etc. to relatives outside the household .227 .131 -.116 .084 .109 -.083 -.081 .033 .074 .008 .017 .523 .303 -.267 .193 .252 -.191 -.186 .076 .172 .018 .039
K2c Lending tools like axes, hoes etc. to people in your own village .219 .213 -.103 .011 .148 -.134 -.001 -.013 .025 -.069 -.014 .462 .448 -.217 .024 .312 -.282 -.003 -.028 .053 -.145 -.029
K2d Lending tools like axes, hoes etc. to people outside the village .107 .189 -.038 -.077 .222 .009 .147 .056 -.036 .008 -.049 .254 .450 -.089 -.184 .528 .020 .349 .132 -.084 .018 -.117
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .097 .256 -.063 -.065 .209 .065 .035 .060 -.050 .038 .031 .217 .573 -.140 -.146 .467 .145 .077 .134 -.113 .085 .070
L1a Member of local farmers groups .073 .082 .070 -.094 .002 .078 -.002 -.073 .035 .094 .095 .189 .212 .181 -.243 .006 .200 -.006 -.189 .091 .243 .245
L1b Member of NASFAM .032 -.017 .032 -.003 .014 .000 -.012 -.025 .009 .017 .016 .167 -.090 .170 -.017 .072 .000 -.064 -.132 .049 .091 .085
L1c Member of other farmers groups such as TAMA .043 -.022 .024 -.017 .062 .003 -.015 -.063 .032 -.019 -.031 .151 -.077 .083 -.059 .219 .011 -.054 -.221 .112 -.068 -.108
L1d Member of credit clubs, revolving funds, SACCOS -.010 .028 .017 -.001 .003 .008 -.002 .028 -.002 .023 .029 -.051 .150 .087 -.004 .016 .041 -.008 .149 -.011 .122 .153
L1e Member of water user associations -.009 .058 .012 .045 .038 .020 .000 .021 .038 .004 .023 -.044 .276 .055 .215 .183 .095 .001 .103 .184 .020 .110
L1f Member of dance, music and cultural groups .135 -.043 -.025 .058 -.033 -.038 -.006 .020 .060 -.040 -.058 .404 -.128 -.076 .173 -.099 -.115 -.018 .059 .180 -.120 -.174
L1g Member of religious groups .103 .047 -.079 .325 -.058 -.218 .135 .015 -.080 -.113 .113 .207 .094 -.159 .649 -.115 -.435 .269 .031 -.159 -.225 .225
L1h Member of home based care groups .037 .044 .022 .061 .015 .090 -.006 -.021 .056 -.025 .029 .124 .147 .073 .204 .050 .300 -.022 -.069 .185 -.083 .095
L2 Participated in cooperative agricultural work .292 -.040 .293 .031 .048 -.082 -.010 -.128 -.008 .072 -.059 .601 -.082 .602 .063 .099 -.168 -.020 -.263 -.017 .148 -.122
L3.a. Participated last 12 months in cooperative work of preparing a garden .173 -.053 .173 .024 .018 .012 .036 -.163 -.004 -.022 -.020 .442 -.136 .443 .062 .045 .030 .092 -.417 -.011 -.056 -.050
L3.b. Participated last12 months in cooperative work of planting .052 .020 .086 .022 -.004 -.015 .015 -.016 .037 .035 .019 .222 .083 .368 .095 -.017 -.064 .066 -.068 .156 .148 .083
L3.c. Participated last 12 months in cooperative work of irrigating .011 .010 .021 -.024 .012 -.010 -.016 -.016 .013 -.009 -.006 .090 .081 .167 -.184 .097 -.077 -.129 -.128 .102 -.073 -.049
L3.d. Participated last 12 months in cooperative work of weeding .164 .038 .139 -.039 .075 .029 .035 -.100 .035 .022 .017 .470 .110 .399 -.112 .215 .084 .100 -.286 .099 .062 .049
L3.e. Participated last 12 months in cooperative work of harvesting .175 -.056 .221 .072 .015 -.113 .020 -.007 .093 -.034 .025 .437 -.139 .552 .180 .037 -.284 .050 -.018 .233 -.086 .064
L3.f. Participated last 12 months in cooperative work of other agriculture work .180 -.092 .090 .076 -.023 -.036 -.027 .045 .017 .091 -.021 .524 -.267 .262 .220 -.067 -.105 -.079 .131 .049 .263 -.060
L6 Participation in other exchange work than agriculture .284 .079 .089 .096 -.029 .051 -.135 .033 -.293 .080 .075 .568 .157 .177 .191 -.058 .103 -.270 .065 -.586 .161 .149
L7 Participated in public works without payment during the last year -.227 .234 -.007 -.064 -.026 .010 .028 -.084 -.044 -.009 -.003 -.571 .589 -.019 -.162 -.066 .026 .070 -.212 -.110 -.022 -.007
L8.a. Participated in school project over the last 12 months -.097 .272 .149 -.154 -.105 -.124 .007 -.042 -.129 -.155 -.168 -.193 .542 .297 -.307 -.209 -.248 .014 -.083 -.258 -.310 -.336
L8.b. Participated in road project over the last 12 months -.147 .348 -.004 .112 -.079 .057 -.013 -.156 .030 .060 .022 -.297 .702 -.007 .226 -.159 .114 -.025 -.314 .060 .121 .045
L8.c. Participated in bridge project over the last 12 months -.067 .189 .128 -.002 .003 .086 -.181 .014 .109 -.190 .113 -.154 .433 .295 -.004 .006 .197 -.415 .032 .249 -.435 .259
L8.d. Participated in church project over the last 12 months -.108 .196 .185 -.022 -.053 -.090 -.003 .134 .050 .072 .125 -.244 .443 .418 -.051 -.121 -.203 -.008 .302 .112 .164 .283
L8.f. Participated in kindergarten project over the last 12 months -.026 .035 .018 .013 .018 .010 .004 .026 -.002 .022 -.007 -.136 .186 .096 .069 .094 .051 .021 .136 -.011 .118 -.035
L8.g. Participated in health centre project over the last 12 months -.033 .131 .073 .031 .030 .004 -.007 .111 -.022 .044 -.105 -.098 .384 .213 .092 .089 .012 -.020 .325 -.064 .128 -.310
L8.h. Participated in irrigation project over the last 12 months -.002 .098 .092 -.066 -.100 .038 -.051 .051 -.024 -.082 .088 -.007 .299 .281 -.202 -.307 .116 -.156 .158 -.073 -.251 .270
L8.i. Participated in borehole project over the last 12 months -.157 .160 .160 .024 -.045 -.104 -.011 .206 .082 .119 -.084 -.352 .358 .359 .054 -.101 -.233 -.024 .461 .183 .266 -.187
L8.j. Participated in dam project over the last 12 months -.026 .006 .019 .010 -.009 -.002 .004 .019 -.004 -.012 -.022 -.179 .041 .130 .067 -.061 -.014 .025 .133 -.028 -.083 -.155
L8.k. Participated in graveyard clearing project over the last 12 months -.153 .258 -.097 .243 -.118 .069 .074 -.110 .056 .096 -.068 -.307 .518 -.195 .488 -.237 .138 .149 -.220 .112 .193 -.137
L8.l. Participated in other projects over the last 12 months -.055 -.035 -.005 -.025 .017 -.003 .059 -.014 -.015 .036 .044 -.204 -.130 -.019 -.093 .063 -.011 .218 -.052 -.056 .134 .164
M1 Most people can be trusted (1) or you cannot be too careful (0) .129 -.030 .123 .239 .016 .300 .022 .128 -.008 -.100 -.122 .258 -.061 .246 .479 .032 .602 .044 .256 -.016 -.200 -.244
Extraction Method: Principal Component Analysis.
a. 11 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 10, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 23 columns and 45 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 10 11 1 2 3 4 5 6 7 8 9 10 11
K1a Lending money to family members .016 .358 -.022 .222 .021 -.070 -.029 -.045 -.056 -.016 .116 .031 .716 -.044 .444 .042 -.140 -.057 -.090 -.112 -.032 .232
K1b Lending money to relatives .031 .405 .023 .133 -.069 -.046 -.007 -.019 .028 -.035 .041 .062 .809 .047 .266 -.138 -.091 -.015 -.037 .056 -.070 .082
K1c Lending money to people in your own village .098 .397 .047 .086 -.057 -.057 -.005 .029 .025 .038 .009 .199 .806 .095 .174 -.115 -.116 -.009 .058 .051 .077 .018
K1d Lending money to people outside the village .116 .198 .134 -.029 .014 -.013 .024 .062 .011 -.008 -.055 .319 .542 .367 -.078 .038 -.035 .067 .171 .029 -.023 -.151
K1e Lending money to people from the same mosque/ church .048 .202 .159 -.060 .016 -.009 .067 .059 .017 -.040 .066 .127 .531 .420 -.157 .042 -.024 .177 .155 .044 -.105 .174
K2a Lending tools like axes, hoes etc. to family members .030 .063 .075 .374 .023 -.063 .004 -.005 -.034 -.044 .067 .065 .138 .164 .823 .051 -.139 .009 -.011 -.074 -.097 .148
K2b Lending tools like axes, hoes etc. to relatives outside the household .041 .070 .140 .278 .003 .011 -.009 -.017 .091 -.095 .011 .095 .161 .323 .642 .006 .026 -.021 -.039 .209 -.219 .025
K2c Lending tools like axes, hoes etc. to people in your own village .054 .075 .248 .246 .021 -.021 .011 -.067 .113 .029 -.018 .113 .158 .523 .517 .044 -.045 .023 -.142 .238 .060 -.037
K2d Lending tools like axes, hoes etc. to people outside the village .016 .047 .349 .030 -.003 .049 -.051 .008 -.009 .042 -.019 .038 .113 .829 .072 -.007 .117 -.122 .019 -.020 .100 -.044
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.023 .033 .341 .081 .051 .070 .037 -.002 -.048 -.027 .065 -.050 .074 .764 .181 .113 .156 .083 -.005 -.108 -.060 .146
L1a Member of local farmers groups .115 .081 .061 -.033 .069 .016 .072 -.049 -.109 -.075 .042 .296 .208 .158 -.086 .177 .041 .185 -.126 -.281 -.193 .110
L1b Member of NASFAM .055 -.001 -.004 .003 -.009 -.009 .003 -.006 -.012 -.021 .010 .290 -.005 -.019 .018 -.049 -.049 .014 -.031 -.061 -.112 .053
L1c Member of other farmers groups such as TAMA .073 -.024 .026 .035 -.014 -.055 -.009 .008 -.034 .005 -.032 .260 -.085 .092 .123 -.048 -.195 -.033 .030 -.119 .018 -.113
L1d Member of credit clubs, revolving funds, SACCOS -.003 .001 .015 -.012 .006 .044 .021 -.004 -.003 -.019 .017 -.016 .006 .077 -.062 .033 .231 .111 -.022 -.014 -.099 .088
L1e Member of water user associations .006 -.021 .040 .020 .036 .048 .030 .032 .017 -.036 -.018 .027 -.101 .193 .095 .174 .228 .142 .155 .080 -.171 -.087
L1f Member of dance, music and cultural groups .043 .083 -.039 .108 -.050 -.032 -.046 .052 .064 -.001 -.038 .128 .249 -.116 .323 -.149 -.096 -.136 .154 .190 -.003 -.114
L1g Member of religious groups .001 .029 .005 .056 .056 -.021 -.035 .008 .463 -.015 .049 .002 .057 .011 .113 .111 -.041 -.071 .016 .925 -.030 .098
L1h Member of home based care groups .039 .013 .023 .024 .058 -.009 .057 .092 .000 -.053 -.013 .129 .043 .077 .080 .192 -.031 .190 .306 -.001 -.178 -.042
L2 Participated in cooperative agricultural work .425 .056 -.001 .069 -.065 .003 -.061 .022 .010 .055 .088 .874 .116 -.003 .141 -.133 .007 -.125 .044 .021 .113 .181
L3.a. Participated last 12 months in cooperative work of preparing a garden .274 .037 -.004 -.011 -.002 -.103 -.010 .054 .010 .037 .030 .700 .095 -.011 -.028 -.005 -.263 -.026 .138 .025 .095 .077
L3.b. Participated last12 months in cooperative work of planting .106 .025 -.003 -.001 .014 .045 .010 .005 .015 -.016 -.001 .453 .106 -.013 -.006 .060 .190 .041 .020 .064 -.070 -.005
L3.c. Participated last 12 months in cooperative work of irrigating .028 -.003 .008 .016 -.005 -.003 .017 -.013 -.019 .015 -.010 .222 -.026 .060 .125 -.039 -.027 .134 -.105 -.146 .118 -.081
L3.d. Participated last 12 months in cooperative work of weeding .230 .057 .095 .008 .006 -.028 .024 .017 -.042 -.009 .010 .659 .163 .273 .024 .017 -.080 .069 .048 -.120 -.027 .029
L3.e. Participated last 12 months in cooperative work of harvesting .279 .036 -.041 .041 -.100 .048 .030 .031 .115 .000 -.044 .697 .091 -.103 .102 -.251 .119 .076 .076 .288 .001 -.111
L3.f. Participated last 12 months in cooperative work of other agriculture work .153 .074 -.071 .068 -.093 .050 -.086 .049 .037 -.060 .065 .444 .213 -.206 .197 -.271 .145 -.249 .141 .107 -.174 .190
L6 Participation in other exchange work than agriculture .123 .096 .048 .107 -.031 .015 .027 .064 .055 -.006 .422 .246 .192 .096 .213 -.063 .030 .055 .127 .109 -.012 .842
L7 Participated in public works without payment during the last year -.104 -.077 .073 -.081 .227 .061 .095 -.091 -.053 .129 -.018 -.262 -.193 .183 -.204 .571 .153 .239 -.230 -.135 .325 -.046
L8.a. Participated in school project over the last 12 months .004 .015 .053 -.005 .099 .085 .129 -.095 -.021 .424 .009 .008 .030 .106 -.010 .197 .170 .257 -.190 -.041 .847 .017
L8.b. Participated in road project over the last 12 months -.025 -.036 .041 .026 .410 .096 .103 -.020 .003 .038 .017 -.051 -.072 .083 .052 .826 .194 .209 -.040 .007 .078 .034
L8.c. Participated in bridge project over the last 12 months .018 -.070 .006 .087 .068 .059 .358 .066 -.037 .023 -.043 .041 -.162 .013 .200 .157 .136 .821 .152 -.086 .054 -.098
L8.d. Participated in church project over the last 12 months .040 -.005 .008 -.063 .052 .302 .164 -.096 .034 .014 .000 .090 -.011 .019 -.141 .119 .683 .370 -.216 .078 .031 .001
L8.f. Participated in kindergarten project over the last 12 months -.006 -.020 .022 -.006 .018 .051 .000 .014 -.007 .002 .005 -.034 -.103 .113 -.033 .095 .266 -.001 .072 -.034 .009 .027
L8.g. Participated in health centre project over the last 12 months -.012 -.024 .059 .039 .029 .177 -.020 .064 -.023 .089 .023 -.036 -.072 .175 .115 .086 .519 -.058 .187 -.067 .261 .066
L8.h. Participated in irrigation project over the last 12 months -.005 .067 -.020 -.028 .002 .055 .198 -.002 -.012 .055 .053 -.015 .206 -.061 -.086 .005 .168 .607 -.006 -.038 .170 .162
L8.i. Participated in borehole project over the last 12 months -.016 -.045 -.040 .001 .035 .377 .007 -.019 -.008 .089 -.063 -.035 -.101 -.090 .002 .077 .845 .017 -.043 -.019 .198 -.141
L8.j. Participated in dam project over the last 12 months -.010 -.013 -.011 -.009 .000 .024 .002 .017 .005 .029 -.007 -.069 -.091 -.075 -.060 -.002 .166 .013 .121 .035 .201 -.051
L8.k. Participated in graveyard clearing project over the last 12 months -.097 -.013 -.020 .021 .419 .093 -.061 .078 .080 .002 -.031 -.194 -.026 -.040 .043 .841 .187 -.123 .158 .160 .004 -.062
L8.l. Participated in other projects over the last 12 months -.012 -.024 .013 -.090 .000 -.005 -.024 -.040 -.001 -.032 -.009 -.044 -.088 .048 -.335 -.001 -.019 -.087 -.150 -.004 -.119 -.033
M1 Most people can be trusted (1) or you cannot be too careful (0) .052 .035 .002 .024 -.022 .024 .005 .461 .020 -.009 .060 .104 .070 .003 .047 -.045 .047 .010 .923 .040 -.017 .121
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 20 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - February 10, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 12 columns and 14 rows
Component 1 2 3 4 5 6 7 8 9 10 11
1 .449 .610 .207 .419 -.249 -.204 -.089 .122 .115 -.120 .234
2 -.064 .157 .478 .258 .594 .379 .326 -.085 .027 .246 .072
3 .716 -.157 -.144 -.293 -.125 .385 .276 .182 -.075 .268 .073
4 .063 -.284 -.204 .198 .318 .097 -.182 .489 .621 -.226 .121
5 .163 -.574 .698 .132 -.241 -.053 -.123 .057 -.093 -.199 -.106
6 -.137 .127 .094 -.230 .196 -.170 .172 .683 -.505 -.248 .149
7 .049 .324 .363 -.642 .097 -.008 -.333 .085 .342 .074 -.314
8 -.421 .163 .073 .040 -.550 .640 .055 .241 .107 -.067 .027
9 .173 .133 -.156 .237 .098 .158 .125 .044 -.129 -.361 -.820
10 .146 .051 -.062 -.078 .224 .435 -.546 -.269 -.324 -.419 .277
11 .029 .022 .068 -.294 -.025 -.050 .552 -.309 .285 -.621 .195
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - February 10, 2020
Component Plot of Factors 1, 2, 3 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 Component 1: 0.0385
Component 2: 0.1129
Component 3: 0.8287 Component 1: 0.6592
Component 2: 0.1634
Component 3: 0.2726 Component 1: -0.0504
Component 2: 0.0737
Component 3: 0.7637 Component 1: 0.3187
Component 2: 0.5415
Component 3: 0.3674 Component 1: 0.1129
Component 2: 0.1582
Component 3: 0.5230 Component 1: 0.8745
Component 2: 0.1162
Component 3: -0.0027 Component 1: 0.1274
Component 2: 0.5307
Component 3: 0.4195 Component 1: 0.7004
Component 2: 0.0952
Component 3: -0.0111 Component 1: 0.0952
Component 2: 0.1615
Component 3: 0.3229 Component 1: 0.2965
Component 2: 0.2081
Component 3: 0.1585 Component 1: 0.1989
Component 2: 0.8062
Component 3: 0.0946 Component 1: 0.6966
Component 2: 0.0909
Component 3: -0.1031 Component 1: 0.4532
Component 2: 0.1055
Component 3: -0.0129 Component 1: 0.2460
Component 2: 0.1918
Component 3: 0.0956 Component 1: 0.0620
Component 2: 0.8090
Component 3: 0.0465 Component 1: 0.2595
Component 2: -0.0853
Component 3: 0.0916 Component 1: 0.0650
Component 2: 0.1384
Component 3: 0.1641 Component 1: 0.2225
Component 2: -0.0259
Component 3: 0.0599 Component 1: 0.0272
Component 2: -0.1010
Component 3: 0.1932 Component 1: 0.2898
Component 2: -0.0051
Component 3: -0.0191 Component 1: 0.1291
Component 2: 0.0429
Component 3: 0.0769 Component 1: 0.4436
Component 2: 0.2134
Component 3: -0.2056 Component 1: -0.0364
Component 2: -0.0717
Component 3: 0.1747 Component 1: 0.0314
Component 2: 0.7163
Component 3: -0.0439 Component 1: 0.0081
Component 2: 0.0303
Component 3: 0.1058 Component 1: 0.1045
Component 2: 0.0695
Component 3: 0.0033 Component 1: 0.0904
Component 2: -0.0108
Component 3: 0.0191 Component 1: -0.0339
Component 2: -0.1030
Component 3: 0.1132 Component 1: -0.0159
Component 2: 0.0061
Component 3: 0.0768 Component 1: -0.0505
Component 2: -0.0718
Component 3: 0.0827 Component 1: 0.1281
Component 2: 0.2487
Component 3: -0.1164 Component 1: 0.0016
Component 2: 0.0570
Component 3: 0.0109 Component 1: 0.0413
Component 2: -0.1618
Component 3: 0.0134 Component 1: -0.0436
Component 2: -0.0876
Component 3: 0.0477 Component 1: -0.0151
Component 2: 0.2057
Component 3: -0.0611 Component 1: -0.2621
Component 2: -0.1931
Component 3: 0.1832 Component 1: -0.0354
Component 2: -0.1014
Component 3: -0.0899 Component 1: -0.0691
Component 2: -0.0905
Component 3: -0.0752 Component 1: -0.1940
Component 2: -0.0265
Component 3: -0.0398