IBM SPSS Web Report - 27 binary var PC varimax 7 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 L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c
    L8d L8g L8h L8i L8k
  /MISSING LISTWISE
  /ANALYSIS K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L1a L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c
    L8d L8g L8h L8i L8k
  /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 29 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .45 .499 254
K1b Lending money to relatives .48 .501 254
K1c Lending money to people in your own village .39 .489 254
K1d Lending money to people outside the village .15 .361 254
K1e Lending money to people from the same mosque/ church .17 .372 254
K2a Lending tools like axes, hoes etc. to family members .71 .453 254
K2b Lending tools like axes, hoes etc. to relatives outside the household .76 .430 254
K2c Lending tools like axes, hoes etc. to people in your own village .66 .474 254
K2d Lending tools like axes, hoes etc. to people outside the village .24 .426 254
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .28 .452 254
L1a Member of local farmers groups .18 .386 254
L2 Participated in cooperative agricultural work .38 .486 254
L3.a. Participated last 12 months in cooperative work of preparing a garden .19 .392 254
L3.b. Participated last12 months in cooperative work of planting .06 .236 254
L3.d. Participated last 12 months in cooperative work of weeding .15 .353 254
L3.e. Participated last 12 months in cooperative work of harvesting .19 .392 254
L3.f. Participated last 12 months in cooperative work of other agriculture work .14 .345 254
L6 Participation in other exchange work than agriculture .52 .501 254
L7 Participated in public works without payment during the last year .81 .395 254
L8.a. Participated in school project over the last 12 months .50 .501 254
L8.b. Participated in road project over the last 12 months .57 .496 254
L8.c. Participated in bridge project over the last 12 months .26 .439 254
L8.d. Participated in church project over the last 12 months .28 .448 254
L8.g. Participated in health centre project over the last 12 months .14 .345 254
L8.h. Participated in irrigation project over the last 12 months .12 .323 254
L8.i. Participated in borehole project over the last 12 months .28 .450 254
L8.k. Participated in graveyard clearing project over the last 12 months .44 .497 254
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 31 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .249 .191 1.000 .769
K1b Lending money to relatives .251 .193 1.000 .770
K1c Lending money to people in your own village .239 .179 1.000 .750
K1d Lending money to people outside the village .130 .066 1.000 .504
K1e Lending money to people from the same mosque/ church .139 .062 1.000 .449
K2a Lending tools like axes, hoes etc. to family members .206 .142 1.000 .690
K2b Lending tools like axes, hoes etc. to relatives outside the household .185 .114 1.000 .618
K2c Lending tools like axes, hoes etc. to people in your own village .225 .134 1.000 .594
K2d Lending tools like axes, hoes etc. to people outside the village .181 .128 1.000 .708
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .204 .138 1.000 .678
L1a Member of local farmers groups .149 .036 1.000 .241
L2 Participated in cooperative agricultural work .236 .198 1.000 .838
L3.a. Participated last 12 months in cooperative work of preparing a garden .154 .086 1.000 .559
L3.b. Participated last12 months in cooperative work of planting .056 .013 1.000 .240
L3.d. Participated last 12 months in cooperative work of weeding .125 .066 1.000 .529
L3.e. Participated last 12 months in cooperative work of harvesting .154 .092 1.000 .600
L3.f. Participated last 12 months in cooperative work of other agriculture work .119 .064 1.000 .538
L6 Participation in other exchange work than agriculture .251 .144 1.000 .575
L7 Participated in public works without payment during the last year .156 .112 1.000 .715
L8.a. Participated in school project over the last 12 months .251 .154 1.000 .615
L8.b. Participated in road project over the last 12 months .246 .195 1.000 .790
L8.c. Participated in bridge project over the last 12 months .193 .093 1.000 .481
L8.d. Participated in church project over the last 12 months .200 .119 1.000 .592
L8.g. Participated in health centre project over the last 12 months .119 .036 1.000 .303
L8.h. Participated in irrigation project over the last 12 months .105 .045 1.000 .435
L8.i. Participated in borehole project over the last 12 months .202 .151 1.000 .745
L8.k. Participated in graveyard clearing project over the last 12 months .247 .213 1.000 .861
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 59 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 1.047 21.047 21.047 1.047 21.047 21.047 .531 10.673 10.673
2 .695 13.972 35.019 .695 13.972 35.019 .600 12.060 22.733
3 .429 8.631 43.650 .429 8.631 43.650 .466 9.382 32.115
4 .305 6.135 49.785 .305 6.135 49.785 .410 8.243 40.357
5 .267 5.379 55.165 .267 5.379 55.165 .391 7.860 48.217
6 .225 4.518 59.682 .225 4.518 59.682 .443 8.899 57.116
7 .198 3.979 63.662 .198 3.979 63.662 .325 6.545 63.662
8 .182 3.662 67.323            
9 .179 3.604 70.927            
10 .149 2.994 73.921            
11 .137 2.750 76.671            
12 .134 2.696 79.368            
13 .117 2.356 81.723            
14 .100 2.018 83.741            
15 .096 1.936 85.677            
16 .090 1.803 87.480            
17 .088 1.765 89.246            
18 .080 1.600 90.846            
19 .072 1.453 92.298            
20 .068 1.377 93.675            
21 .060 1.202 94.877            
22 .056 1.126 96.003            
23 .051 1.020 97.023            
24 .044 .893 97.917            
25 .039 .792 98.708            
26 .038 .767 99.475            
27 .026 .525 100.000            
Rescaled 1 1.047 21.047 21.047 5.185 19.203 19.203 3.161 11.709 11.709
2 .695 13.972 35.019 3.486 12.911 32.114 2.780 10.294 22.003
3 .429 8.631 43.650 2.385 8.835 40.949 2.222 8.231 30.234
4 .305 6.135 49.785 1.476 5.467 46.416 2.220 8.223 38.457
5 .267 5.379 55.165 1.299 4.810 51.226 2.037 7.543 46.000
6 .225 4.518 59.682 1.272 4.710 55.936 1.944 7.199 53.199
7 .198 3.979 63.662 1.084 4.016 59.952 1.823 6.753 59.952
8 .182 3.662 67.323            
9 .179 3.604 70.927            
10 .149 2.994 73.921            
11 .137 2.750 76.671            
12 .134 2.696 79.368            
13 .117 2.356 81.723            
14 .100 2.018 83.741            
15 .096 1.936 85.677            
16 .090 1.803 87.480            
17 .088 1.765 89.246            
18 .080 1.600 90.846            
19 .072 1.453 92.298            
20 .068 1.377 93.675            
21 .060 1.202 94.877            
22 .056 1.126 96.003            
23 .051 1.020 97.023            
24 .044 .893 97.917            
25 .039 .792 98.708            
26 .038 .767 99.475            
27 .026 .525 100.000            
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: 27
Eigenvalue: 0.0261 Component Number: 26
Eigenvalue: 0.0381 Component Number: 25
Eigenvalue: 0.0394 Component Number: 24
Eigenvalue: 0.0444 Component Number: 23
Eigenvalue: 0.0507 Component Number: 22
Eigenvalue: 0.0560 Component Number: 21
Eigenvalue: 0.0598 Component Number: 20
Eigenvalue: 0.0685 Component Number: 19
Eigenvalue: 0.0722 Component Number: 18
Eigenvalue: 0.0796 Component Number: 17
Eigenvalue: 0.0878 Component Number: 16
Eigenvalue: 0.0897 Component Number: 15
Eigenvalue: 0.0963 Component Number: 14
Eigenvalue: 0.1003 Component Number: 13
Eigenvalue: 0.1171 Component Number: 12
Eigenvalue: 0.1341 Component Number: 11
Eigenvalue: 0.1367 Component Number: 10
Eigenvalue: 0.1489 Component Number: 9
Eigenvalue: 0.1792 Component Number: 8
Eigenvalue: 0.1821 Component Number: 7
Eigenvalue: 0.1979 Component Number: 6
Eigenvalue: 0.2246 Component Number: 5
Eigenvalue: 0.2675 Component Number: 4
Eigenvalue: 0.3050 Component Number: 3
Eigenvalue: 0.4292 Component Number: 2
Eigenvalue: 0.6947 Component Number: 1
Eigenvalue: 1.0465 Component Number: 26
Eigenvalue: 0.0381 Component Number: 25
Eigenvalue: 0.0394 Component Number: 24
Eigenvalue: 0.0444 Component Number: 23
Eigenvalue: 0.0507 Component Number: 22
Eigenvalue: 0.0560 Component Number: 21
Eigenvalue: 0.0598 Component Number: 20
Eigenvalue: 0.0685 Component Number: 19
Eigenvalue: 0.0722 Component Number: 18
Eigenvalue: 0.0796 Component Number: 17
Eigenvalue: 0.0878 Component Number: 16
Eigenvalue: 0.0897 Component Number: 15
Eigenvalue: 0.0963 Component Number: 14
Eigenvalue: 0.1003 Component Number: 13
Eigenvalue: 0.1171 Component Number: 12
Eigenvalue: 0.1341 Component Number: 11
Eigenvalue: 0.1367 Component Number: 10
Eigenvalue: 0.1489 Component Number: 9
Eigenvalue: 0.1792 Component Number: 8
Eigenvalue: 0.1821 Component Number: 7
Eigenvalue: 0.1979 Component Number: 6
Eigenvalue: 0.2246 Component Number: 5
Eigenvalue: 0.2675 Component Number: 4
Eigenvalue: 0.3050 Component Number: 3
Eigenvalue: 0.4292 Component Number: 2
Eigenvalue: 0.6947 Component Number: 1
Eigenvalue: 1.0465 0.0 0.2 0.4 0.6 0.8 1.0 1.2 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

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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 15 columns and 33 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 1 2 3 4 5 6 7
K1a Lending money to family members .349 .072 -.153 .188 -.014 -.066 -.034 .699 .144 -.307 .377 -.027 -.133 -.067
K1b Lending money to relatives .370 .036 -.105 .178 -.080 -.038 .066 .739 .073 -.210 .356 -.159 -.075 .132
K1c Lending money to people in your own village .359 .047 -.020 .175 -.100 .038 .077 .734 .097 -.040 .358 -.204 .077 .157
K1d Lending money to people outside the village .178 .080 .028 .036 -.084 .113 .077 .492 .222 .078 .100 -.232 .314 .212
K1e Lending money to people from the same mosque/ church .171 .098 -.006 .036 -.096 .111 -.015 .460 .263 -.017 .096 -.259 .299 -.041
K2a Lending tools like axes, hoes etc. to family members .243 .111 -.144 -.078 .134 -.134 -.087 .537 .246 -.318 -.172 .295 -.295 -.191
K2b Lending tools like axes, hoes etc. to relatives outside the household .215 .120 -.113 -.137 .097 -.106 .040 .499 .279 -.263 -.319 .225 -.245 .092
K2c Lending tools like axes, hoes etc. to people in your own village .220 .216 -.090 -.154 .005 -.037 .073 .463 .456 -.189 -.326 .010 -.078 .153
K2d Lending tools like axes, hoes etc. to people outside the village .114 .185 -.047 -.221 -.129 .089 .072 .268 .436 -.111 -.519 -.302 .209 .170
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .098 .252 -.077 -.220 -.090 .040 -.034 .218 .559 -.170 -.486 -.199 .088 -.075
L1a Member of local farmers groups .076 .087 .057 .010 -.053 .070 -.108 .197 .225 .147 .027 -.137 .180 -.279
L2 Participated in cooperative agricultural work .288 -.021 .312 -.054 .103 .060 .016 .593 -.044 .642 -.110 .213 .123 .032
L3.a. Participated last 12 months in cooperative work of preparing a garden .164 -.033 .192 -.014 .047 .135 -.026 .418 -.083 .488 -.037 .119 .344 -.067
L3.b. Participated last12 months in cooperative work of planting .048 .026 .093 -.005 .021 .014 .032 .203 .110 .396 -.019 .090 .060 .134
L3.d. Participated last 12 months in cooperative work of weeding .160 .050 .147 -.051 .013 .115 -.020 .454 .141 .417 -.144 .035 .324 -.056
L3.e. Participated last 12 months in cooperative work of harvesting .165 -.047 .227 -.016 .061 -.020 .086 .420 -.119 .578 -.040 .155 -.051 .218
L3.f. Participated last 12 months in cooperative work of other agriculture work .174 -.088 .095 .005 .096 -.064 .060 .505 -.256 .274 .016 .278 -.187 .174
L6 Participation in other exchange work than agriculture .281 .074 .070 .027 .153 -.064 -.163 .561 .148 .139 .054 .305 -.128 -.326
L7 Participated in public works without payment during the last year -.216 .233 -.019 .043 -.040 .072 -.048 -.545 .588 -.048 .108 -.102 .182 -.121
L8.a. Participated in school project over the last 12 months -.087 .291 .134 .106 -.162 -.047 -.064 -.174 .581 .268 .212 -.324 -.094 -.128
L8.b. Participated in road project over the last 12 months -.144 .350 -.021 .096 .174 .107 .001 -.290 .704 -.042 .194 .351 .216 .001
L8.c. Participated in bridge project over the last 12 months -.070 .200 .101 -.009 .039 -.058 -.181 -.160 .455 .230 -.020 .088 -.132 -.413
L8.d. Participated in church project over the last 12 months -.106 .221 .185 .027 -.054 -.129 .062 -.236 .494 .414 .060 -.121 -.289 .139
L8.g. Participated in health centre project over the last 12 months -.039 .145 .062 -.050 -.001 -.068 .053 -.114 .418 .178 -.144 -.003 -.196 .155
L8.h. Participated in irrigation project over the last 12 months .000 .100 .074 .094 -.068 -.053 -.116 .001 .309 .230 .292 -.210 -.165 -.360
L8.i. Participated in borehole project over the last 12 months -.157 .172 .157 .035 -.021 -.196 .178 -.348 .383 .349 .079 -.046 -.435 .396
L8.k. Participated in graveyard clearing project over the last 12 months -.158 .245 -.117 .127 .250 .137 .129 -.318 .493 -.236 .256 .502 .275 .260
Extraction Method: Principal Component Analysis.
a. 7 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 15 columns and 33 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 1 2 3 4 5 6 7
K1a Lending money to family members -.005 .364 .226 -.020 -.070 -.014 .048 -.010 .730 .452 -.041 -.140 -.029 .097
K1b Lending money to relatives .043 .407 .145 .009 -.032 -.058 -.018 .085 .812 .289 .019 -.065 -.116 -.037
K1c Lending money to people in your own village .119 .397 .065 .032 -.028 -.040 .006 .244 .812 .133 .065 -.058 -.082 .013
K1d Lending money to people outside the village .111 .196 -.034 .116 -.007 .020 .005 .307 .542 -.093 .322 -.020 .056 .013
K1e Lending money to people from the same mosque/ church .067 .182 -.008 .124 -.052 .015 .078 .181 .490 -.022 .332 -.141 .040 .209
K2a Lending tools like axes, hoes etc. to family members -.001 .075 .357 .079 -.045 .002 .017 -.002 .166 .788 .175 -.098 .005 .038
K2b Lending tools like axes, hoes etc. to relatives outside the household .025 .064 .286 .149 .025 .005 -.072 .058 .149 .664 .346 .057 .011 -.167
K2c Lending tools like axes, hoes etc. to people in your own village .038 .111 .213 .261 .065 .032 -.030 .079 .235 .449 .550 .137 .068 -.064
K2d Lending tools like axes, hoes etc. to people outside the village .025 .048 .020 .351 .033 -.001 -.011 .059 .114 .048 .826 .078 -.003 -.026
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.021 .011 .105 .344 .028 .027 .085 -.046 .024 .233 .761 .063 .061 .188
L1a Member of local farmers groups .067 .051 -.004 .068 -.040 .006 .150 .174 .131 -.010 .176 -.104 .017 .389
L2 Participated in cooperative agricultural work .430 .052 .075 .012 -.001 -.064 .017 .885 .107 .154 .025 -.003 -.132 .034
L3.a. Participated last 12 months in cooperative work of preparing a garden .276 .037 -.021 .016 -.078 -.013 .037 .704 .093 -.054 .040 -.199 -.033 .095
L3.b. Participated last12 months in cooperative work of planting .107 .013 -.001 .009 .040 .009 .005 .452 .055 -.003 .037 .171 .036 .021
L3.d. Participated last 12 months in cooperative work of weeding .225 .046 .006 .093 -.038 .003 .057 .637 .130 .016 .264 -.107 .009 .160
L3.e. Participated last 12 months in cooperative work of harvesting .276 .038 .032 -.037 .070 -.070 -.048 .704 .097 .080 -.094 .180 -.179 -.122
L3.f. Participated last 12 months in cooperative work of other agriculture work .174 .057 .108 -.076 .009 -.073 -.088 .504 .164 .314 -.220 .025 -.210 -.255
L6 Participation in other exchange work than agriculture .190 .088 .276 -.034 -.065 -.004 .138 .379 .177 .551 -.067 -.129 -.008 .275
L7 Participated in public works without payment during the last year -.128 -.066 -.107 .073 .092 .199 .162 -.324 -.166 -.270 .185 .232 .503 .410
L8.a. Participated in school project over the last 12 months -.031 .057 -.085 .062 .230 .067 .286 -.062 .114 -.170 .124 .458 .135 .571
L8.b. Participated in road project over the last 12 months -.030 -.031 .024 .044 .104 .403 .131 -.061 -.063 .048 .089 .210 .811 .263
L8.c. Participated in bridge project over the last 12 months .014 -.106 .072 .018 .087 .075 .250 .031 -.242 .165 .041 .197 .171 .570
L8.d. Participated in church project over the last 12 months .033 -.034 -.035 .020 .310 .047 .128 .074 -.076 -.079 .044 .693 .105 .286
L8.g. Participated in health centre project over the last 12 months .013 -.038 .027 .069 .162 .043 .031 .038 -.109 .079 .200 .469 .124 .091
L8.h. Participated in irrigation project over the last 12 months -.004 .044 .001 -.035 .063 -.011 .195 -.013 .136 .002 -.107 .195 -.036 .604
L8.i. Participated in borehole project over the last 12 months -.008 -.049 -.037 -.035 .379 .047 .004 -.018 -.109 -.082 -.077 .842 .105 .010
L8.k. Participated in graveyard clearing project over the last 12 months -.067 -.007 .011 -.017 .059 .449 -.055 -.134 -.014 .022 -.034 .118 .903 -.110
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 8 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 8 columns and 10 rows
Component 1 2 3 4 5 6 7
1 .467 .628 .483 .195 -.225 -.254 -.039
2 -.051 .144 .210 .472 .463 .547 .444
3 .771 -.215 -.284 -.171 .377 -.165 .284
4 -.110 .589 -.197 -.687 .049 .277 .227
5 .295 -.347 .519 -.362 -.141 .556 -.252
6 .279 .078 -.533 .309 -.580 .446 -.015
7 .096 .255 -.223 .107 .483 .157 -.779
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: 0.3785
Component 2: 0.1767
Component 3: 0.5511 Component 1: -0.0019
Component 2: 0.1655
Component 3: 0.7881 Component 1: 0.8854
Component 2: 0.1074
Component 3: 0.1538 Component 1: 0.0579
Component 2: 0.1487
Component 3: 0.6640 Component 1: 0.5044
Component 2: 0.1643
Component 3: 0.3139 Component 1: -0.0101
Component 2: 0.7301
Component 3: 0.4523 Component 1: 0.7041
Component 2: 0.0973
Component 3: 0.0803 Component 1: 0.0793
Component 2: 0.2349
Component 3: 0.4493 Component 1: 0.0852
Component 2: 0.8122
Component 3: 0.2894 Component 1: 0.6369
Component 2: 0.1300
Component 3: 0.0164 Component 1: 0.2438
Component 2: 0.8116
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