IBM SPSS Web Report - 37 binary var PC varimax 10 factors.spv   


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Log
Log - Log - February 10, 2020

FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L1a L1b L1c L1d L1e L1f L1h L2 L3a L3b L3c L3d
    L3e L3f L6 L7 L8a L8b L8c L8d L8f L8g L8h L8i L8j L8k L8l
  /MISSING LISTWISE
  /ANALYSIS K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L1a L1b L1c L1d L1e L1f L1h L2 L3a L3b L3c L3d
    L3e L3f L6 L7 L8a L8b L8c L8d L8f L8g L8h L8i L8j L8k L8l
  /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 - February 10, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 39 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .47 .500 243
K1b Lending money to relatives .49 .501 243
K1c Lending money to people in your own village .40 .492 243
K1d Lending money to people outside the village .16 .368 243
K1e Lending money to people from the same mosque/ church .17 .379 243
K2a Lending tools like axes, hoes etc. to family members .71 .454 243
K2b Lending tools like axes, hoes etc. to relatives outside the household .75 .432 243
K2c Lending tools like axes, hoes etc. to people in your own village .66 .475 243
K2d Lending tools like axes, hoes etc. to people outside the village .23 .419 243
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .27 .446 243
L1a Member of local farmers groups .18 .386 243
L1b Member of NASFAM .04 .189 243
L1c Member of other farmers groups such as TAMA .09 .282 243
L1d Member of credit clubs, revolving funds, SACCOS .04 .189 243
L1e Member of water user associations .05 .217 243
L1f Member of dance, music and cultural groups .13 .334 243
L1h Member of home based care groups .10 .299 243
L2 Participated in cooperative agricultural work .37 .485 243
L3.a. Participated last 12 months in cooperative work of preparing a garden .19 .389 243
L3.b. Participated last12 months in cooperative work of planting .06 .233 243
L3.c. Participated last 12 months in cooperative work of irrigating .02 .128 243
L3.d. Participated last 12 months in cooperative work of weeding .14 .348 243
L3.e. Participated last 12 months in cooperative work of harvesting .20 .399 243
L3.f. Participated last 12 months in cooperative work of other agriculture work .14 .343 243
L6 Participation in other exchange work than agriculture .51 .501 243
L7 Participated in public works without payment during the last year .81 .396 243
L8.a. Participated in school project over the last 12 months .50 .501 243
L8.b. Participated in road project over the last 12 months .57 .496 243
L8.c. Participated in bridge project over the last 12 months .26 .437 243
L8.d. Participated in church project over the last 12 months .27 .444 243
L8.f. Participated in kindergarten project over the last 12 months .04 .199 243
L8.g. Participated in health centre project over the last 12 months .13 .339 243
L8.h. Participated in irrigation project over the last 12 months .12 .325 243
L8.i. Participated in borehole project over the last 12 months .28 .450 243
L8.j. Participated in dam project over the last 12 months .02 .156 243
L8.k. Participated in graveyard clearing project over the last 12 months .44 .498 243
L8.l. Participated in other projects over the last 12 months .08 .269 243
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 41 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .250 .201 1.000 .806
K1b Lending money to relatives .251 .197 1.000 .784
K1c Lending money to people in your own village .242 .186 1.000 .769
K1d Lending money to people outside the village .135 .080 1.000 .592
K1e Lending money to people from the same mosque/ church .144 .085 1.000 .593
K2a Lending tools like axes, hoes etc. to family members .206 .163 1.000 .793
K2b Lending tools like axes, hoes etc. to relatives outside the household .187 .122 1.000 .653
K2c Lending tools like axes, hoes etc. to people in your own village .226 .155 1.000 .686
K2d Lending tools like axes, hoes etc. to people outside the village .176 .133 1.000 .754
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .199 .142 1.000 .713
L1a Member of local farmers groups .149 .108 1.000 .723
L1b Member of NASFAM .036 .005 1.000 .131
L1c Member of other farmers groups such as TAMA .079 .015 1.000 .194
L1d Member of credit clubs, revolving funds, SACCOS .036 .003 1.000 .087
L1e Member of water user associations .047 .013 1.000 .266
L1f Member of dance, music and cultural groups .112 .034 1.000 .304
L1h Member of home based care groups .089 .024 1.000 .269
L2 Participated in cooperative agricultural work .235 .204 1.000 .865
L3.a. Participated last 12 months in cooperative work of preparing a garden .152 .091 1.000 .600
L3.b. Participated last12 months in cooperative work of planting .055 .014 1.000 .260
L3.c. Participated last 12 months in cooperative work of irrigating .016 .002 1.000 .130
L3.d. Participated last 12 months in cooperative work of weeding .121 .069 1.000 .569
L3.e. Participated last 12 months in cooperative work of harvesting .159 .114 1.000 .717
L3.f. Participated last 12 months in cooperative work of other agriculture work .118 .069 1.000 .583
L6 Participation in other exchange work than agriculture .251 .230 1.000 .918
L7 Participated in public works without payment during the last year .157 .118 1.000 .751
L8.a. Participated in school project over the last 12 months .251 .222 1.000 .886
L8.b. Participated in road project over the last 12 months .246 .194 1.000 .787
L8.c. Participated in bridge project over the last 12 months .191 .170 1.000 .890
L8.d. Participated in church project over the last 12 months .197 .125 1.000 .637
L8.f. Participated in kindergarten project over the last 12 months .040 .004 1.000 .109
L8.g. Participated in health centre project over the last 12 months .115 .038 1.000 .333
L8.h. Participated in irrigation project over the last 12 months .106 .052 1.000 .490
L8.i. Participated in borehole project over the last 12 months .202 .157 1.000 .778
L8.j. Participated in dam project over the last 12 months .024 .002 1.000 .081
L8.k. Participated in graveyard clearing project over the last 12 months .248 .217 1.000 .874
L8.l. Participated in other projects over the last 12 months .072 .009 1.000 .131
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 79 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 1.096 19.861 19.861 1.096 19.861 19.861 .528 9.575 9.575
2 .700 12.680 32.541 .700 12.680 32.541 .590 10.692 20.267
3 .431 7.804 40.345 .431 7.804 40.345 .403 7.311 27.578
4 .295 5.350 45.695 .295 5.350 45.695 .461 8.360 35.938
5 .272 4.939 50.634 .272 4.939 50.634 .389 7.052 42.991
6 .234 4.243 54.877 .234 4.243 54.877 .424 7.681 50.672
7 .206 3.742 58.619 .206 3.742 58.619 .303 5.493 56.165
8 .195 3.540 62.159 .195 3.540 62.159 .237 4.290 60.455
9 .182 3.302 65.461 .182 3.302 65.461 .184 3.328 63.784
10 .155 2.813 68.275 .155 2.813 68.275 .248 4.491 68.275
11 .143 2.597 70.872            
12 .139 2.516 73.389            
13 .122 2.206 75.595            
14 .107 1.945 77.540            
15 .102 1.856 79.396            
16 .098 1.780 81.176            
17 .095 1.716 82.893            
18 .091 1.654 84.547            
19 .084 1.521 86.068            
20 .080 1.446 87.513            
21 .072 1.298 88.811            
22 .070 1.260 90.071            
23 .063 1.150 91.221            
24 .060 1.081 92.302            
25 .053 .956 93.258            
26 .050 .904 94.162            
27 .047 .857 95.019            
28 .041 .751 95.770            
29 .038 .697 96.466            
30 .036 .655 97.122            
31 .033 .598 97.720            
32 .032 .573 98.293            
33 .026 .478 98.771            
34 .025 .455 99.226            
35 .016 .291 99.517            
36 .015 .263 99.780            
37 .012 .220 100.000            
Rescaled 1 1.096 19.861 19.861 5.634 15.228 15.228 3.326 8.990 8.990
2 .700 12.680 32.541 3.693 9.981 25.209 2.818 7.617 16.607
3 .431 7.804 40.345 2.461 6.652 31.861 2.386 6.448 23.055
4 .295 5.350 45.695 1.527 4.126 35.987 2.352 6.358 29.413
5 .272 4.939 50.634 1.434 3.876 39.863 2.214 5.984 35.397
6 .234 4.243 54.877 1.392 3.762 43.625 1.941 5.245 40.642
7 .206 3.742 58.619 1.200 3.243 46.867 1.558 4.210 44.852
8 .195 3.540 62.159 1.123 3.035 49.902 1.526 4.124 48.976
9 .182 3.302 65.461 1.039 2.808 52.711 1.255 3.391 52.367
10 .155 2.813 68.275 1.004 2.713 55.424 1.131 3.057 55.424
11 .143 2.597 70.872            
12 .139 2.516 73.389            
13 .122 2.206 75.595            
14 .107 1.945 77.540            
15 .102 1.856 79.396            
16 .098 1.780 81.176            
17 .095 1.716 82.893            
18 .091 1.654 84.547            
19 .084 1.521 86.068            
20 .080 1.446 87.513            
21 .072 1.298 88.811            
22 .070 1.260 90.071            
23 .063 1.150 91.221            
24 .060 1.081 92.302            
25 .053 .956 93.258            
26 .050 .904 94.162            
27 .047 .857 95.019            
28 .041 .751 95.770            
29 .038 .697 96.466            
30 .036 .655 97.122            
31 .033 .598 97.720            
32 .032 .573 98.293            
33 .026 .478 98.771            
34 .025 .455 99.226            
35 .016 .291 99.517            
36 .015 .263 99.780            
37 .012 .220 100.000            
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: 37
Eigenvalue: 0.0121 Component Number: 36
Eigenvalue: 0.0145 Component Number: 35
Eigenvalue: 0.0161 Component Number: 34
Eigenvalue: 0.0251 Component Number: 33
Eigenvalue: 0.0264 Component Number: 32
Eigenvalue: 0.0316 Component Number: 31
Eigenvalue: 0.0330 Component Number: 30
Eigenvalue: 0.0362 Component Number: 29
Eigenvalue: 0.0384 Component Number: 28
Eigenvalue: 0.0414 Component Number: 27
Eigenvalue: 0.0473 Component Number: 26
Eigenvalue: 0.0498 Component Number: 25
Eigenvalue: 0.0528 Component Number: 24
Eigenvalue: 0.0596 Component Number: 23
Eigenvalue: 0.0634 Component Number: 22
Eigenvalue: 0.0695 Component Number: 21
Eigenvalue: 0.0716 Component Number: 20
Eigenvalue: 0.0797 Component Number: 19
Eigenvalue: 0.0839 Component Number: 18
Eigenvalue: 0.0913 Component Number: 17
Eigenvalue: 0.0947 Component Number: 16
Eigenvalue: 0.0982 Component Number: 15
Eigenvalue: 0.1024 Component Number: 14
Eigenvalue: 0.1073 Component Number: 13
Eigenvalue: 0.1217 Component Number: 12
Eigenvalue: 0.1388 Component Number: 11
Eigenvalue: 0.1433 Component Number: 10
Eigenvalue: 0.1552 Component Number: 9
Eigenvalue: 0.1822 Component Number: 8
Eigenvalue: 0.1953 Component Number: 7
Eigenvalue: 0.2064 Component Number: 6
Eigenvalue: 0.2341 Component Number: 5
Eigenvalue: 0.2725 Component Number: 4
Eigenvalue: 0.2951 Component Number: 3
Eigenvalue: 0.4305 Component Number: 2
Eigenvalue: 0.6995 Component Number: 1
Eigenvalue: 1.0956 Component Number: 36
Eigenvalue: 0.0145 Component Number: 35
Eigenvalue: 0.0161 Component Number: 34
Eigenvalue: 0.0251 Component Number: 33
Eigenvalue: 0.0264 Component Number: 32
Eigenvalue: 0.0316 Component Number: 31
Eigenvalue: 0.0330 Component Number: 30
Eigenvalue: 0.0362 Component Number: 29
Eigenvalue: 0.0384 Component Number: 28
Eigenvalue: 0.0414 Component Number: 27
Eigenvalue: 0.0473 Component Number: 26
Eigenvalue: 0.0498 Component Number: 25
Eigenvalue: 0.0528 Component Number: 24
Eigenvalue: 0.0596 Component Number: 23
Eigenvalue: 0.0634 Component Number: 22
Eigenvalue: 0.0695 Component Number: 21
Eigenvalue: 0.0716 Component Number: 20
Eigenvalue: 0.0797 Component Number: 19
Eigenvalue: 0.0839 Component Number: 18
Eigenvalue: 0.0913 Component Number: 17
Eigenvalue: 0.0947 Component Number: 16
Eigenvalue: 0.0982 Component Number: 15
Eigenvalue: 0.1024 Component Number: 14
Eigenvalue: 0.1073 Component Number: 13
Eigenvalue: 0.1217 Component Number: 12
Eigenvalue: 0.1388 Component Number: 11
Eigenvalue: 0.1433 Component Number: 10
Eigenvalue: 0.1552 Component Number: 9
Eigenvalue: 0.1822 Component Number: 8
Eigenvalue: 0.1953 Component Number: 7
Eigenvalue: 0.2064 Component Number: 6
Eigenvalue: 0.2341 Component Number: 5
Eigenvalue: 0.2725 Component Number: 4
Eigenvalue: 0.2951 Component Number: 3
Eigenvalue: 0.4305 Component Number: 2
Eigenvalue: 0.6995 Component Number: 1
Eigenvalue: 1.0956 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

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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 21 columns and 43 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10
K1a Lending money to family members .347 .090 -.141 -.202 .037 -.040 -.049 -.013 -.011 .083 .694 .179 -.282 -.404 .074 -.079 -.098 -.027 -.022 .166
K1b Lending money to relatives .367 .048 -.101 -.196 -.038 -.044 .073 .012 .031 -.042 .732 .096 -.201 -.391 -.075 -.088 .145 .024 .062 -.083
K1c Lending money to people in your own village .365 .051 -.023 -.181 -.069 .021 .081 -.031 .016 -.062 .742 .104 -.047 -.369 -.141 .043 .164 -.063 .032 -.127
K1d Lending money to people outside the village .181 .088 .038 -.029 -.085 .104 .105 .012 .090 -.009 .492 .240 .104 -.080 -.230 .282 .286 .034 .244 -.025
K1e Lending money to people from the same mosque/ church .173 .107 .003 -.043 -.102 .117 .037 .125 .021 -.005 .457 .284 .008 -.112 -.270 .310 .098 .330 .056 -.013
K2a Lending tools like axes, hoes etc. to family members .245 .121 -.143 .097 .117 -.114 -.139 -.049 .049 .089 .540 .267 -.315 .214 .258 -.251 -.307 -.109 .107 .195
K2b Lending tools like axes, hoes etc. to relatives outside the household .221 .125 -.111 .139 .075 -.114 .016 -.030 .055 .051 .512 .290 -.257 .323 .175 -.265 .036 -.069 .128 .118
K2c Lending tools like axes, hoes etc. to people in your own village .221 .211 -.091 .156 -.022 -.075 .017 -.138 -.001 -.061 .465 .443 -.191 .328 -.046 -.158 .036 -.290 -.003 -.129
K2d Lending tools like axes, hoes etc. to people outside the village .111 .185 -.043 .184 -.184 .039 .095 .012 -.054 -.053 .264 .442 -.103 .439 -.438 .093 .227 .027 -.128 -.127
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .101 .252 -.076 .177 -.136 .027 -.007 .104 -.031 .000 .226 .565 -.170 .396 -.306 .060 -.017 .232 -.070 -.001
L1a Member of local farmers groups .078 .083 .063 -.023 -.059 .097 -.064 .051 .064 .258 .202 .216 .163 -.059 -.154 .252 -.165 .132 .165 .668
L1b Member of NASFAM .032 -.016 .033 .015 .008 .014 -.014 -.001 .013 .038 .170 -.086 .173 .077 .041 .072 -.074 -.005 .070 .203
L1c Member of other farmers groups such as TAMA .044 -.021 .023 .056 -.012 .031 -.039 -.057 .036 .048 .156 -.074 .080 .200 -.043 .108 -.137 -.202 .128 .169
L1d Member of credit clubs, revolving funds, SACCOS -.009 .029 .015 .002 -.003 -.009 .011 .041 .000 .007 -.049 .151 .079 .012 -.017 -.050 .057 .218 .000 .039
L1e Member of water user associations -.013 .064 .006 .042 .029 -.004 .030 .041 .053 -.016 -.061 .293 .030 .194 .134 -.018 .139 .187 .244 -.074
L1f Member of dance, music and cultural groups .132 -.044 -.022 -.014 .060 -.048 .046 -.059 .026 -.042 .395 -.131 -.064 -.041 .180 -.143 .137 -.177 .079 -.126
L1h Member of home based care groups .034 .045 .009 .025 .062 .065 .003 .058 .080 -.047 .113 .151 .030 .085 .207 .217 .012 .195 .268 -.158
L2 Participated in cooperative agricultural work .292 -.038 .303 .078 .078 .056 .005 -.078 -.056 .019 .602 -.078 .625 .161 .161 .116 .010 -.160 -.116 .038
L3.a. Participated last 12 months in cooperative work of preparing a garden .170 -.051 .174 .029 .038 .139 -.035 -.078 .005 -.006 .438 -.131 .447 .074 .099 .357 -.089 -.201 .014 -.016
L3.b. Participated last12 months in cooperative work of planting .051 .020 .088 .007 .029 .015 .036 .002 .021 .025 .218 .086 .376 .030 .124 .066 .152 .009 .088 .109
L3.c. Participated last 12 months in cooperative work of irrigating .013 .011 .022 .008 -.011 -.004 -.021 -.022 .014 .005 .103 .085 .173 .066 -.085 -.034 -.161 -.172 .111 .041
L3.d. Participated last 12 months in cooperative work of weeding .166 .040 .136 .066 -.027 .104 -.011 -.021 .044 .054 .477 .116 .390 .189 -.078 .301 -.031 -.060 .125 .155
L3.e. Participated last 12 months in cooperative work of harvesting .171 -.055 .235 .047 .067 -.034 .075 -.047 .072 -.077 .429 -.138 .589 .118 .168 -.086 .188 -.117 .180 -.193
L3.f. Participated last 12 months in cooperative work of other agriculture work .176 -.091 .093 .006 .094 -.056 .068 .028 -.034 .047 .513 -.264 .270 .017 .275 -.164 .197 .080 -.098 .138
L6 Participation in other exchange work than agriculture .280 .077 .082 .009 .135 -.005 -.127 .205 -.242 -.064 .559 .153 .164 .019 .270 -.011 -.253 .410 -.483 -.128
L7 Participated in public works without payment during the last year -.222 .232 -.009 -.039 -.049 .072 -.047 -.046 -.034 .009 -.560 .586 -.022 -.097 -.124 .182 -.120 -.116 -.087 .024
L8.a. Participated in school project over the last 12 months -.089 .276 .161 -.134 -.138 -.056 -.116 -.208 -.122 -.029 -.178 .551 .322 -.267 -.276 -.112 -.231 -.415 -.243 -.058
L8.b. Participated in road project over the last 12 months -.149 .350 -.014 -.038 .169 .129 .003 -.045 -.006 .021 -.300 .705 -.029 -.076 .341 .260 .005 -.090 -.011 .041
L8.c. Participated in bridge project over the last 12 months -.068 .198 .111 -.002 .050 -.042 -.174 .080 .230 -.143 -.155 .453 .253 -.005 .115 -.097 -.397 .182 .526 -.327
L8.d. Participated in church project over the last 12 months -.108 .202 .190 -.053 -.025 -.130 .071 .072 .038 .066 -.243 .456 .429 -.120 -.057 -.293 .161 .163 .086 .150
L8.f. Participated in kindergarten project over the last 12 months -.028 .043 .013 .014 .006 -.017 .028 .013 -.005 .004 -.142 .214 .064 .072 .031 -.088 .141 .065 -.025 .019
L8.g. Participated in health centre project over the last 12 months -.036 .130 .063 .037 .000 -.072 .054 .050 -.063 -.002 -.105 .384 .187 .108 -.001 -.214 .158 .147 -.186 -.006
L8.h. Participated in irrigation project over the last 12 months .000 .099 .087 -.116 -.041 -.026 -.093 .079 .044 -.042 -.001 .305 .268 -.356 -.125 -.081 -.285 .244 .136 -.129
L8.i. Participated in borehole project over the last 12 months -.162 .161 .161 -.029 .014 -.211 .158 .046 -.005 .078 -.361 .359 .358 -.065 .030 -.470 .352 .103 -.011 .173
L8.j. Participated in dam project over the last 12 months -.028 .013 .017 -.012 .002 -.019 .011 -.001 .004 -.010 -.181 .081 .111 -.077 .016 -.120 .068 -.008 .026 -.061
L8.k. Participated in graveyard clearing project over the last 12 months -.163 .258 -.107 -.049 .255 .140 .153 -.025 -.026 -.020 -.327 .518 -.215 -.098 .512 .282 .307 -.050 -.051 -.041
L8.l. Participated in other projects over the last 12 months -.053 -.035 -.001 .007 -.044 .043 .029 .013 -.017 .019 -.196 -.131 -.006 .028 -.163 .158 .109 .047 -.062 .072
Extraction Method: Principal Component Analysis.
a. 10 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 21 columns and 43 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10
K1a Lending money to family members -.006 .344 -.085 .227 -.038 .005 .032 -.035 .101 .101 -.012 .689 -.169 .454 -.077 .011 .064 -.070 .202 .203
K1b Lending money to relatives .032 .408 -.054 .143 .021 -.055 -.021 -.011 -.020 .043 .064 .814 -.107 .285 .042 -.110 -.042 -.023 -.040 .087
K1c Lending money to people in your own village .109 .395 -.069 .081 .052 -.040 .028 -.013 -.029 .030 .222 .803 -.139 .165 .106 -.081 .057 -.026 -.059 .061
K1d Lending money to people outside the village .119 .202 -.003 -.015 .129 .024 -.026 .041 .044 -.058 .324 .548 -.007 -.042 .350 .065 -.071 .111 .119 -.159
K1e Lending money to people from the same mosque/ church .045 .199 -.007 -.043 .155 .012 -.034 .064 .089 .062 .120 .526 -.018 -.113 .410 .031 -.090 .170 .236 .164
K2a Lending tools like axes, hoes etc. to family members .011 .048 -.070 .378 .046 .005 -.010 .022 .088 .055 .024 .106 -.155 .832 .102 .011 -.023 .049 .193 .120
K2b Lending tools like axes, hoes etc. to relatives outside the household .040 .063 .014 .311 .117 .007 -.072 -.017 .021 -.006 .092 .145 .032 .719 .270 .015 -.167 -.039 .048 -.013
K2c Lending tools like axes, hoes etc. to people in your own village .056 .079 -.010 .280 .233 .037 .072 -.017 -.072 -.030 .118 .166 -.021 .590 .489 .078 .151 -.035 -.152 -.062
K2d Lending tools like axes, hoes etc. to people outside the village .016 .049 .042 .036 .353 .003 .023 -.032 -.019 -.010 .039 .118 .101 .086 .842 .007 .056 -.076 -.044 -.025
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.044 .028 .059 .092 .337 .029 .008 .051 .078 .064 -.099 .062 .132 .206 .755 .064 .019 .115 .176 .143
L1a Member of local farmers groups .072 .052 .019 .005 .028 .015 .024 .011 .312 -.007 .188 .136 .050 .013 .073 .038 .062 .028 .809 -.019
L1b Member of NASFAM .049 -.005 -.011 .010 -.008 -.014 -.008 -.002 .041 .002 .261 -.024 -.057 .051 -.041 -.076 -.042 -.010 .217 .010
L1c Member of other farmers groups such as TAMA .068 -.030 -.057 .036 .018 -.020 .016 -.006 .052 -.041 .240 -.106 -.202 .128 .065 -.072 .055 -.021 .186 -.144
L1d Member of credit clubs, revolving funds, SACCOS -.005 .001 .043 -.009 .014 .003 -.012 .016 .014 .017 -.029 .007 .230 -.045 .076 .016 -.064 .086 .075 .088
L1e Member of water user associations .006 -.013 .054 .022 .039 .040 -.046 .057 -.004 -.017 .027 -.060 .250 .102 .178 .186 -.214 .264 -.019 -.078
L1f Member of dance, music and cultural groups .066 .086 -.041 .099 -.035 -.024 -.040 -.030 -.078 -.018 .198 .258 -.122 .296 -.104 -.070 -.120 -.088 -.233 -.055
L1h Member of home based care groups .044 .019 -.013 .010 .029 .064 -.075 .104 -.001 .007 .146 .062 -.044 .034 .097 .215 -.251 .348 -.003 .024
L2 Participated in cooperative agricultural work .425 .051 -.022 .058 .013 -.053 .036 -.038 .007 .104 .876 .105 -.045 .121 .027 -.108 .074 -.079 .014 .214
L3.a. Participated last 12 months in cooperative work of preparing a garden .273 .034 -.112 -.015 .003 .003 .033 .012 .024 .031 .700 .087 -.287 -.039 .007 .009 .084 .032 .061 .080
L3.b. Participated last12 months in cooperative work of planting .105 .023 .041 .003 -.002 .014 -.013 .008 .022 .000 .450 .098 .178 .014 -.008 .058 -.054 .034 .095 .001
L3.c. Participated last 12 months in cooperative work of irrigating .023 -.004 -.003 .015 .006 -.011 .027 .014 .011 -.012 .184 -.034 -.021 .119 .044 -.083 .210 .108 .086 -.093
L3.d. Participated last 12 months in cooperative work of weeding .214 .049 -.034 .017 .091 -.005 .015 .030 .098 .001 .617 .141 -.097 .049 .261 -.014 .043 .086 .282 .004
L3.e. Participated last 12 months in cooperative work of harvesting .299 .047 .044 .037 -.027 -.074 -.034 .046 -.098 -.018 .749 .118 .110 .092 -.067 -.185 -.084 .115 -.244 -.045
L3.f. Participated last 12 months in cooperative work of other agriculture work .168 .069 .027 .069 -.065 -.071 -.095 -.079 -.007 .075 .490 .202 .079 .201 -.190 -.206 -.276 -.230 -.020 .218
L6 Participation in other exchange work than agriculture .129 .096 -.002 .108 .057 -.012 -.022 .028 -.005 .434 .258 .192 -.005 .215 .114 -.025 -.045 .056 -.011 .866
L7 Participated in public works without payment during the last year -.130 -.080 .089 -.077 .064 .191 .181 .061 .050 -.032 -.327 -.202 .225 -.195 .162 .482 .458 .154 .126 -.081
L8.a. Participated in school project over the last 12 months .003 .016 .135 -.013 .034 .073 .443 .033 -.009 .002 .006 .032 .269 -.026 .067 .145 .884 .066 -.019 .004
L8.b. Participated in road project over the last 12 months -.044 -.038 .114 .037 .033 .392 .101 .092 .049 .011 -.088 -.077 .230 .074 .067 .791 .203 .185 .099 .022
L8.c. Participated in bridge project over the last 12 months .006 -.049 .089 .060 -.001 .045 .062 .387 -.007 -.016 .014 -.112 .203 .138 -.003 .102 .142 .886 -.017 -.037
L8.d. Participated in church project over the last 12 months .026 -.001 .326 -.027 -.007 .026 .082 .082 .058 -.021 .059 -.003 .734 -.061 -.016 .057 .184 .185 .130 -.046
L8.f. Participated in kindergarten project over the last 12 months -.006 -.015 .056 .001 .018 .023 -.001 .001 -.005 -.002 -.031 -.074 .283 .005 .089 .117 -.007 .006 -.023 -.012
L8.g. Participated in health centre project over the last 12 months .002 -.023 .168 .014 .067 .031 .029 -.002 -.019 .053 .005 -.068 .495 .042 .196 .093 .086 -.005 -.057 .155
L8.h. Participated in irrigation project over the last 12 months -.012 .071 .073 -.032 -.026 -.020 .090 .162 .038 .059 -.038 .217 .223 -.099 -.080 -.061 .278 .498 .116 .182
L8.i. Participated in borehole project over the last 12 months -.008 -.045 .386 -.008 -.043 .021 .041 -.015 -.008 -.047 -.018 -.099 .858 -.017 -.096 .047 .092 -.034 -.018 -.105
L8.j. Participated in dam project over the last 12 months -.006 -.007 .033 -.010 -.013 .005 .011 .010 -.015 -.009 -.038 -.044 .211 -.063 -.083 .033 .074 .063 -.095 -.058
L8.k. Participated in graveyard clearing project over the last 12 months -.080 -.007 .099 .011 -.010 .441 -.049 -.002 -.055 -.008 -.161 -.014 .199 .022 -.019 .886 -.099 -.004 -.110 -.016
L8.l. Participated in other projects over the last 12 months -.019 -.025 -.006 -.078 .016 -.004 -.013 -.034 .018 -.020 -.070 -.092 -.022 -.291 .058 -.015 -.049 -.128 .065 -.076
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 10 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 11 columns and 13 rows
Component 1 2 3 4 5 6 7 8 9 10
1 .453 .605 -.259 .442 .207 -.226 -.108 -.060 .060 .231
2 -.095 .161 .443 .280 .431 .532 .354 .276 .131 .063
3 .751 -.148 .395 -.313 -.145 -.158 .257 .194 .029 .094
4 .224 -.654 -.051 .267 .591 -.101 -.281 -.066 -.043 -.059
5 .211 -.193 .005 .374 -.520 .537 -.354 .044 -.160 .260
6 .232 .051 -.533 -.514 .228 .520 -.085 .055 .250 .012
7 .132 .308 .429 -.219 .152 .195 -.425 -.450 -.293 -.353
8 -.220 .080 .285 -.258 .120 -.175 -.567 .332 .229 .519
9 .073 .099 -.030 .138 -.115 -.063 -.286 .618 .168 -.675
10 .030 -.082 .169 .139 -.169 .009 -.049 -.422 .850 -.115
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: -0.0177
Component 2: -0.0992
Component 3: 0.8575 Component 1: 0.0586
Component 2: -0.0033
Component 3: 0.7343 Component 1: 0.7494
Component 2: 0.1183
Component 3: 0.1102 Component 1: 0.8762
Component 2: 0.1047
Component 3: -0.0445 Component 1: 0.4497
Component 2: 0.0976
Component 3: 0.1776 Component 1: 0.0054
Component 2: -0.0681
Component 3: 0.4946 Component 1: 0.4896
Component 2: 0.2022
Component 3: 0.0789 Component 1: 0.6169
Component 2: 0.1412
Component 3: -0.0966 Component 1: 0.3244
Component 2: 0.5485
Component 3: -0.0068 Component 1: 0.0062
Component 2: 0.0315
Component 3: 0.2688 Component 1: 0.0272
Component 2: -0.0597
Component 3: 0.2504 Component 1: -0.0311
Component 2: -0.0740
Component 3: 0.2827 Component 1: -0.0382
Component 2: 0.2173
Component 3: 0.2232 Component 1: 0.7002
Component 2: 0.0870
Component 3: -0.2871 Component 1: 0.2583
Component 2: 0.1916
Component 3: -0.0049 Component 1: -0.0287
Component 2: 0.0075
Component 3: 0.2297 Component 1: 0.1878
Component 2: 0.1355
Component 3: 0.0498 Component 1: 0.2223
Component 2: 0.8027
Component 3: -0.1394 Component 1: 0.0137
Component 2: -0.1115
Component 3: 0.2030 Component 1: 0.1199
Component 2: 0.5256
Component 3: -0.0178 Component 1: -0.0378
Component 2: -0.0440
Component 3: 0.2106 Component 1: 0.0388
Component 2: 0.1179
Component 3: 0.1007 Component 1: -0.0879
Component 2: -0.0766
Component 3: 0.2296 Component 1: 0.0922
Component 2: 0.1452
Component 3: 0.0318 Component 1: 0.2605
Component 2: -0.0243
Component 3: -0.0572 Component 1: 0.0636
Component 2: 0.8138
Component 3: -0.1072 Component 1: 0.1837
Component 2: -0.0342
Component 3: -0.0211 Component 1: 0.1179
Component 2: 0.1655
Component 3: -0.0212 Component 1: -0.1608
Component 2: -0.0135
Component 3: 0.1986 Component 1: -0.0988
Component 2: 0.0623
Component 3: 0.1318 Component 1: 0.1976
Component 2: 0.2584
Component 3: -0.1219 Component 1: 0.1462
Component 2: 0.0620
Component 3: -0.0437 Component 1: -0.0117
Component 2: 0.6887
Component 3: -0.1693 Component 1: -0.3274
Component 2: -0.2017
Component 3: 0.2253 Component 1: 0.2398
Component 2: -0.1059
Component 3: -0.2019 Component 1: -0.0704
Component 2: -0.0921
Component 3: -0.0218 Component 1: 0.0243
Component 2: 0.1061
Component 3: -0.1548