IBM SPSS Web Report - 28 variables on participation.spv   


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Log
Log - Log - March 12, 2020

FACTOR
  /VARIABLES 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
  /MISSING LISTWISE
  /ANALYSIS 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
  /PRINT UNIVARIATE INITIAL EXTRACTION ROTATION FSCORE
  /PLOT EIGEN
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - March 12, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 30 rows
  Mean Std. Deviation Analysis N
L1a Member of local farmers groups .18 .387 246
L1b Member of NASFAM .04 .188 246
L1c Member of other farmers groups such as TAMA .09 .280 246
L1d Member of credit clubs, revolving funds, SACCOS .04 .188 246
L1e Member of water user associations .05 .216 246
L1f Member of dance, music and cultural groups .13 .333 246
L1g Member of religious groups .51 .501 246
L1h Member of home based care groups .10 .297 246
L2 Participated in cooperative agricultural work .38 .487 246
L3.a. Participated last 12 months in cooperative work of preparing a garden .19 .391 246
L3.b. Participated last12 months in cooperative work of planting .06 .232 246
L3.c. Participated last 12 months in cooperative work of irrigating .02 .127 246
L3.d. Participated last 12 months in cooperative work of weeding .14 .346 246
L3.e. Participated last 12 months in cooperative work of harvesting .20 .403 246
L3.f. Participated last 12 months in cooperative work of other agriculture work .14 .346 246
L6 Participation in other exchange work than agriculture .52 .501 246
L7 Participated in public works without payment during the last year .81 .394 246
L8.a. Participated in school project over the last 12 months .50 .501 246
L8.b. Participated in road project over the last 12 months .58 .495 246
L8.c. Participated in bridge project over the last 12 months .25 .435 246
L8.d. Participated in church project over the last 12 months .27 .444 246
L8.f. Participated in kindergarten project over the last 12 months .04 .198 246
L8.g. Participated in health centre project over the last 12 months .13 .337 246
L8.h. Participated in irrigation project over the last 12 months .12 .323 246
L8.i. Participated in borehole project over the last 12 months .28 .448 246
L8.j. Participated in dam project over the last 12 months .02 .155 246
L8.k. Participated in graveyard clearing project over the last 12 months .45 .498 246
L8.l. Participated in other projects over the last 12 months .08 .274 246
Factor Analysis
Factor Analysis - Communalities - March 12, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 32 rows
  Raw Rescaled
Initial Extraction Initial Extraction
L1a Member of local farmers groups .150 .101 1.000 .675
L1b Member of NASFAM .035 .004 1.000 .107
L1c Member of other farmers groups such as TAMA .078 .009 1.000 .113
L1d Member of credit clubs, revolving funds, SACCOS .035 .003 1.000 .087
L1e Member of water user associations .047 .011 1.000 .232
L1f Member of dance, music and cultural groups .111 .024 1.000 .215
L1g Member of religious groups .251 .239 1.000 .952
L1h Member of home based care groups .088 .021 1.000 .233
L2 Participated in cooperative agricultural work .237 .212 1.000 .893
L3.a. Participated last 12 months in cooperative work of preparing a garden .153 .091 1.000 .594
L3.b. Participated last12 months in cooperative work of planting .054 .014 1.000 .267
L3.c. Participated last 12 months in cooperative work of irrigating .016 .002 1.000 .122
L3.d. Participated last 12 months in cooperative work of weeding .120 .061 1.000 .510
L3.e. Participated last 12 months in cooperative work of harvesting .163 .111 1.000 .685
L3.f. Participated last 12 months in cooperative work of other agriculture work .120 .064 1.000 .537
L6 Participation in other exchange work than agriculture .251 .239 1.000 .953
L7 Participated in public works without payment during the last year .155 .116 1.000 .746
L8.a. Participated in school project over the last 12 months .251 .234 1.000 .934
L8.b. Participated in road project over the last 12 months .245 .193 1.000 .789
L8.c. Participated in bridge project over the last 12 months .189 .172 1.000 .909
L8.d. Participated in church project over the last 12 months .197 .149 1.000 .757
L8.f. Participated in kindergarten project over the last 12 months .039 .004 1.000 .096
L8.g. Participated in health centre project over the last 12 months .114 .045 1.000 .393
L8.h. Participated in irrigation project over the last 12 months .104 .046 1.000 .436
L8.i. Participated in borehole project over the last 12 months .201 .164 1.000 .814
L8.j. Participated in dam project over the last 12 months .024 .002 1.000 .099
L8.k. Participated in graveyard clearing project over the last 12 months .248 .216 1.000 .869
L8.l. Participated in other projects over the last 12 months .075 .008 1.000 .108
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - March 12, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 61 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 .764 20.383 20.383 .764 20.383 20.383 .489 13.050 13.050
2 .502 13.381 33.764 .502 13.381 33.764 .490 13.073 26.123
3 .341 9.096 42.860 .341 9.096 42.860 .345 9.186 35.308
4 .244 6.512 49.372 .244 6.512 49.372 .280 7.472 42.780
5 .198 5.269 54.641 .198 5.269 54.641 .278 7.404 50.184
6 .192 5.123 59.764 .192 5.123 59.764 .283 7.538 57.722
7 .167 4.449 64.212 .167 4.449 64.212 .204 5.450 63.173
8 .145 3.875 68.087 .145 3.875 68.087 .184 4.915 68.087
9 .131 3.484 71.571            
10 .115 3.073 74.644            
11 .100 2.655 77.299            
12 .090 2.409 79.707            
13 .084 2.237 81.944            
14 .084 2.228 84.172            
15 .077 2.043 86.215            
16 .071 1.902 88.117            
17 .069 1.834 89.951            
18 .059 1.579 91.531            
19 .052 1.386 92.917            
20 .045 1.197 94.114            
21 .045 1.189 95.304            
22 .039 1.033 96.337            
23 .036 .961 97.298            
24 .029 .776 98.074            
25 .027 .707 98.781            
26 .018 .477 99.257            
27 .015 .405 99.662            
28 .013 .338 100.000            
Rescaled 1 .764 20.383 20.383 4.223 15.082 15.082 3.089 11.033 11.033
2 .502 13.381 33.764 2.864 10.227 25.309 2.345 8.374 19.407
3 .341 9.096 42.860 1.602 5.721 31.030 2.089 7.460 26.867
4 .244 6.512 49.372 1.364 4.871 35.901 1.616 5.771 32.639
5 .198 5.269 54.641 1.079 3.854 39.755 1.294 4.620 37.259
6 .192 5.123 59.764 1.044 3.727 43.482 1.270 4.535 41.794
7 .167 4.449 64.212 1.008 3.602 47.083 1.213 4.331 46.126
8 .145 3.875 68.087 .940 3.359 50.442 1.209 4.316 50.442
9 .131 3.484 71.571            
10 .115 3.073 74.644            
11 .100 2.655 77.299            
12 .090 2.409 79.707            
13 .084 2.237 81.944            
14 .084 2.228 84.172            
15 .077 2.043 86.215            
16 .071 1.902 88.117            
17 .069 1.834 89.951            
18 .059 1.579 91.531            
19 .052 1.386 92.917            
20 .045 1.197 94.114            
21 .045 1.189 95.304            
22 .039 1.033 96.337            
23 .036 .961 97.298            
24 .029 .776 98.074            
25 .027 .707 98.781            
26 .018 .477 99.257            
27 .015 .405 99.662            
28 .013 .338 100.000            
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 - March 12, 2020
Scree Plot Component Number: 28
Eigenvalue: 0.0127 Component Number: 27
Eigenvalue: 0.0152 Component Number: 26
Eigenvalue: 0.0179 Component Number: 25
Eigenvalue: 0.0265 Component Number: 24
Eigenvalue: 0.0291 Component Number: 23
Eigenvalue: 0.0361 Component Number: 22
Eigenvalue: 0.0387 Component Number: 21
Eigenvalue: 0.0446 Component Number: 20
Eigenvalue: 0.0449 Component Number: 19
Eigenvalue: 0.0520 Component Number: 18
Eigenvalue: 0.0592 Component Number: 17
Eigenvalue: 0.0688 Component Number: 16
Eigenvalue: 0.0713 Component Number: 15
Eigenvalue: 0.0766 Component Number: 14
Eigenvalue: 0.0836 Component Number: 13
Eigenvalue: 0.0839 Component Number: 12
Eigenvalue: 0.0903 Component Number: 11
Eigenvalue: 0.0996 Component Number: 10
Eigenvalue: 0.1153 Component Number: 9
Eigenvalue: 0.1307 Component Number: 8
Eigenvalue: 0.1453 Component Number: 7
Eigenvalue: 0.1669 Component Number: 6
Eigenvalue: 0.1921 Component Number: 5
Eigenvalue: 0.1976 Component Number: 4
Eigenvalue: 0.2442 Component Number: 3
Eigenvalue: 0.3412 Component Number: 2
Eigenvalue: 0.5019 Component Number: 1
Eigenvalue: 0.7645 Component Number: 27
Eigenvalue: 0.0152 Component Number: 26
Eigenvalue: 0.0179 Component Number: 25
Eigenvalue: 0.0265 Component Number: 24
Eigenvalue: 0.0291 Component Number: 23
Eigenvalue: 0.0361 Component Number: 22
Eigenvalue: 0.0387 Component Number: 21
Eigenvalue: 0.0446 Component Number: 20
Eigenvalue: 0.0449 Component Number: 19
Eigenvalue: 0.0520 Component Number: 18
Eigenvalue: 0.0592 Component Number: 17
Eigenvalue: 0.0688 Component Number: 16
Eigenvalue: 0.0713 Component Number: 15
Eigenvalue: 0.0766 Component Number: 14
Eigenvalue: 0.0836 Component Number: 13
Eigenvalue: 0.0839 Component Number: 12
Eigenvalue: 0.0903 Component Number: 11
Eigenvalue: 0.0996 Component Number: 10
Eigenvalue: 0.1153 Component Number: 9
Eigenvalue: 0.1307 Component Number: 8
Eigenvalue: 0.1453 Component Number: 7
Eigenvalue: 0.1669 Component Number: 6
Eigenvalue: 0.1921 Component Number: 5
Eigenvalue: 0.1976 Component Number: 4
Eigenvalue: 0.2442 Component Number: 3
Eigenvalue: 0.3412 Component Number: 2
Eigenvalue: 0.5019 Component Number: 1
Eigenvalue: 0.7645 0.0 0.2 0.4 0.6 0.8 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28

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Factor Analysis
Factor Analysis - Component Matrix - March 12, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 17 columns and 34 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8
L1a Member of local farmers groups -.012 .111 -.092 -.137 .005 .014 -.088 .232 -.032 .287 -.238 -.352 .013 .037 -.228 .598
L1b Member of NASFAM -.041 .026 -.016 -.015 .008 .015 -.009 .023 -.219 .140 -.085 -.080 .042 .081 -.050 .121
L1c Member of other farmers groups such as TAMA -.057 .014 -.032 -.041 .050 .009 .016 .000 -.202 .049 -.114 -.145 .178 .031 .057 .000
L1d Member of credit clubs, revolving funds, SACCOS .022 .022 -.006 .007 -.033 .017 -.012 .022 .116 .119 -.031 .037 -.177 .090 -.065 .115
L1e Member of water user associations .043 .037 .033 .015 -.022 .071 .028 .003 .200 .169 .151 .068 -.103 .328 .131 .015
L1f Member of dance, music and cultural groups -.119 .018 .074 .028 .009 .004 .048 -.025 -.357 .054 .224 .083 .026 .011 .145 -.074
L1g Member of religious groups -.042 .077 .393 .164 .055 -.125 .125 .125 -.084 .154 .784 .328 .109 -.249 .250 .249
L1h Member of home based care groups -.002 .046 .043 -.052 -.026 .093 .054 -.040 -.008 .156 .144 -.175 -.086 .314 .181 -.135
L2 Participated in cooperative agricultural work -.298 .318 -.023 -.014 .115 .031 -.048 -.067 -.613 .653 -.047 -.029 .235 .063 -.099 -.137
L3.a. Participated last 12 months in cooperative work of preparing a garden -.191 .161 -.018 -.074 .142 .031 .028 -.019 -.489 .412 -.046 -.190 .365 .080 .071 -.050
L3.b. Participated last12 months in cooperative work of planting -.039 .094 .001 .013 .020 .044 -.018 .035 -.166 .405 .006 .057 .085 .189 -.076 .150
L3.c. Participated last 12 months in cooperative work of irrigating -.006 .023 -.030 -.008 .015 .002 .013 -.002 -.047 .184 -.237 -.064 .121 .016 .104 -.014
L3.d. Participated last 12 months in cooperative work of weeding -.124 .165 -.055 -.091 .057 .042 -.015 .040 -.360 .478 -.159 -.263 .163 .122 -.044 .116
L3.e. Participated last 12 months in cooperative work of harvesting -.199 .207 .001 .109 .077 .075 .071 -.024 -.492 .514 .002 .270 .191 .186 .175 -.060
L3.f. Participated last 12 months in cooperative work of other agriculture work -.201 .094 .049 .060 -.036 .031 -.081 -.006 -.582 .272 .143 .174 -.105 .089 -.234 -.018
L6 Participation in other exchange work than agriculture -.181 .245 .127 -.116 -.304 -.126 -.082 -.037 -.362 .489 .254 -.231 -.608 -.252 -.164 -.073
L7 Participated in public works without payment during the last year .315 .045 -.039 -.079 .060 -.055 -.010 -.001 .800 .114 -.100 -.200 .152 -.139 -.025 -.004
L8.a. Participated in school project over the last 12 months .237 .234 -.135 .013 .105 -.295 .037 -.079 .473 .466 -.269 .025 .209 -.588 .074 -.157
L8.b. Participated in road project over the last 12 months .335 .175 .131 -.158 .054 .057 -.037 .029 .676 .353 .266 -.320 .108 .115 -.075 .059
L8.c. Participated in bridge project over the last 12 months .163 .166 -.086 -.047 -.121 .132 .274 -.032 .376 .382 -.198 -.107 -.277 .304 .630 -.073
L8.d. Participated in church project over the last 12 months .194 .202 -.079 .178 -.044 .047 -.030 .168 .436 .455 -.177 .400 -.100 .106 -.069 .378
L8.f. Participated in kindergarten project over the last 12 months .043 .023 -.001 .014 -.017 .020 -.021 .006 .219 .116 -.005 .072 -.085 .100 -.108 .032
L8.g. Participated in health centre project over the last 12 months .096 .100 -.011 .077 -.049 .014 -.073 -.108 .285 .297 -.033 .228 -.144 .041 -.216 -.319
L8.h. Participated in irrigation project over the last 12 months .068 .112 -.077 -.013 -.100 -.036 .092 .050 .209 .346 -.239 -.041 -.309 -.113 .285 .155
L8.i. Participated in borehole project over the last 12 months .212 .134 -.071 .263 -.038 .085 -.121 -.056 .473 .299 -.158 .587 -.085 .190 -.270 -.125
L8.j. Participated in dam project over the last 12 months .029 .010 -.001 .031 .000 -.001 .009 -.020 .185 .065 -.009 .197 .002 -.007 .060 -.132
L8.k. Participated in graveyard clearing project over the last 12 months .304 .067 .289 -.091 .055 .109 -.078 -.080 .610 .135 .580 -.183 .110 .219 -.156 -.160
L8.l. Participated in other projects over the last 12 months .016 -.043 -.013 .009 .040 .000 -.034 .055 .057 -.157 -.048 .033 .146 -.002 -.123 .201
Extraction Method: Principal Component Analysis.
a. 8 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - March 12, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 17 columns and 34 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8
L1a Member of local farmers groups .113 .058 .068 .059 .003 -.046 -.053 -.269 .292 .149 .176 .153 .007 -.118 -.136 -.693
L1b Member of NASFAM .049 -.016 -.001 -.002 .005 -.007 .001 -.032 .261 -.086 -.007 -.010 .027 -.036 .003 -.170
L1c Member of other farmers groups such as TAMA .069 -.009 -.054 .006 -.019 -.022 -.002 -.018 .245 -.034 -.192 .020 -.067 -.079 -.006 -.063
L1d Member of credit clubs, revolving funds, SACCOS -.006 .003 .047 .012 .013 -.004 .013 -.019 -.033 .013 .247 .064 .070 -.023 .068 -.101
L1e Member of water user associations -.001 .021 .052 .010 -.008 .021 .084 .008 -.003 .095 .242 .045 -.036 .097 .387 .038
L1f Member of dance, music and cultural groups .060 -.069 -.061 -.032 .037 .084 .035 .031 .182 -.207 -.182 -.098 .110 .254 .104 .093
L1g Member of religious groups -.006 .029 -.015 -.035 .038 .484 .006 .033 -.011 .058 -.029 -.071 .075 .966 .012 .066
L1h Member of home based care groups .033 .023 -.012 .006 .028 -.004 .134 .009 .111 .079 -.041 .021 .095 -.014 .449 .029
L2 Participated in cooperative agricultural work .435 -.054 -.022 -.030 .128 .022 -.014 .037 .893 -.110 -.045 -.062 .262 .044 -.028 .076
L3.a. Participated last 12 months in cooperative work of preparing a garden .283 -.006 -.100 -.002 .013 .013 .015 -.011 .725 -.015 -.255 -.005 .032 .033 .037 -.027
L3.b. Participated last12 months in cooperative work of planting .101 -.002 .051 -.003 .007 .023 .019 -.025 .436 -.008 .218 -.012 .032 .099 .081 -.108
L3.c. Participated last 12 months in cooperative work of irrigating .031 .001 -.003 .025 -.009 -.016 -.002 .002 .245 .009 -.027 .198 -.075 -.127 -.015 .016
L3.d. Participated last 12 months in cooperative work of weeding .225 .008 -.016 .028 .040 -.030 .014 -.081 .650 .022 -.047 .082 .116 -.088 .041 -.234
L3.e. Participated last 12 months in cooperative work of harvesting .282 -.114 .027 .018 .010 .095 .054 .078 .698 -.283 .067 .044 .025 .235 .135 .192
L3.f. Participated last 12 months in cooperative work of other agriculture work .148 -.121 .032 -.101 .116 .053 -.004 -.008 .429 -.350 .092 -.293 .335 .152 -.011 -.022
L6 Participation in other exchange work than agriculture .091 -.034 .021 .033 .468 .061 .014 -.072 .183 -.067 .042 .066 .934 .121 .028 -.143
L7 Participated in public works without payment during the last year -.098 .276 .077 .115 -.072 -.063 -.035 .022 -.250 .700 .195 .291 -.183 -.161 -.090 .055
L8.a. Participated in school project over the last 12 months .055 .248 .063 .280 .022 -.014 -.239 .172 .110 .496 .126 .559 .043 -.027 -.476 .343
L8.b. Participated in road project over the last 12 months -.022 .401 .123 .048 .002 .025 .112 -.041 -.044 .809 .249 .097 .003 .051 .226 -.082
L8.c. Participated in bridge project over the last 12 months .006 .050 .077 .302 -.007 -.043 .260 .054 .014 .115 .176 .693 -.016 -.100 .598 .124
L8.d. Participated in church project over the last 12 months .034 .049 .342 .140 -.066 .056 -.023 -.031 .076 .111 .771 .316 -.149 .125 -.052 -.069
L8.f. Participated in kindergarten project over the last 12 months -.009 .023 .055 .002 .002 -.007 .010 .001 -.046 .118 .276 .010 .009 -.035 .052 .004
L8.g. Participated in health centre project over the last 12 months .005 .057 .141 -.004 .064 -.044 .001 .124 .014 .168 .419 -.012 .190 -.130 .003 .369
L8.h. Participated in irrigation project over the last 12 months .000 .009 .069 .192 .050 -.007 .021 -.026 -.001 .028 .214 .595 .154 -.022 .065 -.081
L8.i. Participated in borehole project over the last 12 months -.012 .038 .358 .000 -.048 -.036 -.020 .173 -.026 .084 .799 .000 -.108 -.081 -.045 .385
L8.j. Participated in dam project over the last 12 months -.009 .007 .023 .012 -.008 .005 .002 .038 -.060 .047 .151 .078 -.052 .032 .011 .245
L8.k. Participated in graveyard clearing project over the last 12 months -.096 .374 .090 -.132 .017 .088 .172 .060 -.194 .750 .180 -.265 .035 .176 .346 .121
L8.l. Participated in other projects over the last 12 months -.017 .005 .010 -.027 -.059 .000 -.040 -.043 -.062 .019 .037 -.100 -.215 .000 -.147 -.157
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 16 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - March 12, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 9 columns and 11 rows
Component 1 2 3 4 5 6 7 8
1 -.501 .660 .402 .248 -.247 -.093 .057 .136
2 .693 .289 .395 .344 .357 .153 .070 .080
3 -.161 .286 -.122 -.438 .262 .732 .284 .032
4 -.059 -.473 .543 -.075 -.257 .368 -.204 .478
5 .449 .353 -.293 -.205 -.670 .119 -.247 .147
6 .187 -.109 .285 -.314 -.314 -.241 .778 -.109
7 -.054 -.178 -.384 .674 -.232 .307 .427 .180
8 -.012 -.088 .241 .166 -.274 .362 -.145 -.824
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Score Coefficient Matrix - March 12, 2020
Component Score Coefficient MatrixaComponent Score Coefficient Matrix, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 33 rows
  Component
1 2 3 4 5 6 7 8
L1a Member of local farmers groups .106 .076 .160 .044 -.077 .012 -.137 -.648
L1b Member of NASFAM .020 -.001 .008 -.003 -.009 -.004 .001 -.033
L1c Member of other farmers groups such as TAMA .055 .022 -.055 .012 -.045 -.020 .005 -.011
L1d Member of credit clubs, revolving funds, SACCOS -.007 -.010 .035 .002 .011 -.001 .010 -.028
L1e Member of water user associations .003 -.012 .032 .004 -.014 .012 .088 .000
L1f Member of dance, music and cultural groups .023 -.035 -.057 .007 .008 .083 .061 .080
L1g Member of religious groups -.070 -.011 -.042 .140 -.098 .926 -.090 -.049
L1h Member of home based care groups .023 .009 -.033 .011 .017 -.031 .200 .037
L2 Participated in cooperative agricultural work .467 .103 -.026 -.139 .036 -.079 -.030 .176
L3.a. Participated last 12 months in cooperative work of preparing a garden .282 .108 -.154 -.006 -.116 -.011 .037 .029
L3.b. Participated last12 months in cooperative work of planting .056 .001 .050 -.018 -.026 .016 .017 -.045
L3.c. Participated last 12 months in cooperative work of irrigating .011 .002 -.006 .011 -.008 -.005 .001 .002
L3.d. Participated last 12 months in cooperative work of weeding .183 .065 -.013 .010 -.036 -.047 .023 -.140
L3.e. Participated last 12 months in cooperative work of harvesting .249 -.092 .038 .039 -.137 .111 .136 .177
L3.f. Participated last 12 months in cooperative work of other agriculture work .069 -.065 .124 -.148 .105 .009 -.015 .002
L6 Participation in other exchange work than agriculture -.180 -.023 .093 .066 .938 -.036 -.041 -.122
L7 Participated in public works without payment during the last year -.008 .223 -.043 .076 -.045 -.057 -.101 -.009
L8.a. Participated in school project over the last 12 months .086 .282 -.212 .421 .098 .039 -.612 .412
L8.b. Participated in road project over the last 12 months .092 .442 .027 -.078 .003 .010 .164 -.202
L8.c. Participated in bridge project over the last 12 months -.025 -.134 -.072 .553 -.034 -.016 .619 .117
L8.d. Participated in church project over the last 12 months .039 -.134 .519 .127 -.163 .183 -.076 -.283
L8.f. Participated in kindergarten project over the last 12 months -.002 .000 .037 -.013 .006 -.007 .007 -.009
L8.g. Participated in health centre project over the last 12 months -.001 .010 .130 -.101 .134 -.114 -.005 .226
L8.h. Participated in irrigation project over the last 12 months -.047 -.065 .028 .257 .061 .039 .042 -.078
L8.i. Participated in borehole project over the last 12 months .025 -.118 .536 -.216 -.018 -.104 -.047 .304
L8.j. Participated in dam project over the last 12 months -.002 -.004 .005 .004 -.001 .002 .003 .030
L8.k. Participated in graveyard clearing project over the last 12 months .021 .442 .017 -.417 .081 .010 .300 .130
L8.l. Participated in other projects over the last 12 months .009 .010 .029 -.034 -.068 .019 -.059 -.084
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Coefficients are standardized.
Factor Analysis
Factor Analysis - Component Score Covariance Matrix - March 12, 2020
Component Score Covariance MatrixComponent Score Covariance Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 9 columns and 11 rows
Component 1 2 3 4 5 6 7 8
1 1.000 .000 .000 .000 .000 .000 .000 .000
2 .000 1.000 .000 .000 .000 .000 .000 .000
3 .000 .000 1.000 .000 .000 .000 .000 .000
4 .000 .000 .000 1.000 .000 .000 .000 .000
5 .000 .000 .000 .000 1.000 .000 .000 .000
6 .000 .000 .000 .000 .000 1.000 .000 .000
7 .000 .000 .000 .000 .000 .000 1.000 .000
8 .000 .000 .000 .000 .000 .000 .000 1.000
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.