IBM SPSS Web Report - 26 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 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 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 28 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .46 .499 257
K1b Lending money to relatives .49 .501 257
K1c Lending money to people in your own village .39 .489 257
K1d Lending money to people outside the village .15 .359 257
K1e Lending money to people from the same mosque/ church .16 .370 257
K2a Lending tools like axes, hoes etc. to family members .71 .454 257
K2b Lending tools like axes, hoes etc. to relatives outside the household .75 .433 257
K2c Lending tools like axes, hoes etc. to people in your own village .66 .475 257
K2d Lending tools like axes, hoes etc. to people outside the village .23 .424 257
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .28 .450 257
L2 Participated in cooperative agricultural work .38 .487 257
L3.a. Participated last 12 months in cooperative work of preparing a garden .19 .394 257
L3.b. Participated last12 months in cooperative work of planting .06 .235 257
L3.d. Participated last 12 months in cooperative work of weeding .15 .359 257
L3.e. Participated last 12 months in cooperative work of harvesting .19 .390 257
L3.f. Participated last 12 months in cooperative work of other agriculture work .14 .344 257
L6 Participation in other exchange work than agriculture .52 .501 257
L7 Participated in public works without payment during the last year .81 .394 257
L8.a. Participated in school project over the last 12 months .51 .501 257
L8.b. Participated in road project over the last 12 months .56 .497 257
L8.c. Participated in bridge project over the last 12 months .26 .442 257
L8.d. Participated in church project over the last 12 months .27 .446 257
L8.g. Participated in health centre project over the last 12 months .14 .348 257
L8.h. Participated in irrigation project over the last 12 months .12 .322 257
L8.i. Participated in borehole project over the last 12 months .28 .448 257
L8.k. Participated in graveyard clearing project over the last 12 months .44 .497 257
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 30 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .249 .193 1.000 .776
K1b Lending money to relatives .251 .193 1.000 .771
K1c Lending money to people in your own village .239 .179 1.000 .749
K1d Lending money to people outside the village .129 .064 1.000 .493
K1e Lending money to people from the same mosque/ church .137 .059 1.000 .427
K2a Lending tools like axes, hoes etc. to family members .206 .148 1.000 .721
K2b Lending tools like axes, hoes etc. to relatives outside the household .188 .119 1.000 .633
K2c Lending tools like axes, hoes etc. to people in your own village .226 .131 1.000 .581
K2d Lending tools like axes, hoes etc. to people outside the village .180 .128 1.000 .713
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .202 .135 1.000 .664
L2 Participated in cooperative agricultural work .237 .199 1.000 .838
L3.a. Participated last 12 months in cooperative work of preparing a garden .155 .092 1.000 .592
L3.b. Participated last12 months in cooperative work of planting .055 .013 1.000 .239
L3.d. Participated last 12 months in cooperative work of weeding .129 .067 1.000 .520
L3.e. Participated last 12 months in cooperative work of harvesting .152 .088 1.000 .577
L3.f. Participated last 12 months in cooperative work of other agriculture work .118 .067 1.000 .567
L6 Participation in other exchange work than agriculture .251 .125 1.000 .499
L7 Participated in public works without payment during the last year .155 .112 1.000 .725
L8.a. Participated in school project over the last 12 months .251 .175 1.000 .699
L8.b. Participated in road project over the last 12 months .247 .194 1.000 .787
L8.c. Participated in bridge project over the last 12 months .195 .098 1.000 .502
L8.d. Participated in church project over the last 12 months .199 .124 1.000 .624
L8.g. Participated in health centre project over the last 12 months .121 .035 1.000 .293
L8.h. Participated in irrigation project over the last 12 months .104 .036 1.000 .347
L8.i. Participated in borehole project over the last 12 months .201 .154 1.000 .769
L8.k. Participated in graveyard clearing project over the last 12 months .247 .211 1.000 .855
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 57 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 1.031 21.362 21.362 1.031 21.362 21.362 .526 10.899 10.899
2 .682 14.126 35.488 .682 14.126 35.488 .610 12.642 23.541
3 .426 8.837 44.325 .426 8.837 44.325 .405 8.393 31.934
4 .315 6.531 50.856 .315 6.531 50.856 .457 9.478 41.413
5 .265 5.494 56.350 .265 5.494 56.350 .372 7.717 49.129
6 .221 4.583 60.933 .221 4.583 60.933 .430 8.909 58.039
7 .202 4.191 65.123 .202 4.191 65.123 .342 7.085 65.123
8 .185 3.826 68.950            
9 .174 3.605 72.554            
10 .139 2.891 75.445            
11 .136 2.829 78.275            
12 .116 2.415 80.689            
13 .109 2.256 82.946            
14 .098 2.021 84.967            
15 .092 1.899 86.867            
16 .089 1.849 88.716            
17 .081 1.675 90.391            
18 .073 1.515 91.905            
19 .071 1.481 93.386            
20 .060 1.242 94.629            
21 .057 1.186 95.815            
22 .052 1.088 96.903            
23 .045 .933 97.835            
24 .040 .837 98.672            
25 .038 .784 99.456            
26 .026 .544 100.000            
Rescaled 1 1.031 21.362 21.362 5.090 19.576 19.576 3.088 11.877 11.877
2 .682 14.126 35.488 3.399 13.072 32.648 2.818 10.837 22.713
3 .426 8.837 44.325 2.353 9.051 41.700 2.194 8.438 31.151
4 .315 6.531 50.856 1.509 5.803 47.503 2.178 8.376 39.527
5 .265 5.494 56.350 1.266 4.867 52.370 1.963 7.552 47.079
6 .221 4.583 60.933 1.243 4.780 57.151 1.879 7.228 54.307
7 .202 4.191 65.123 1.104 4.246 61.397 1.844 7.091 61.397
8 .185 3.826 68.950            
9 .174 3.605 72.554            
10 .139 2.891 75.445            
11 .136 2.829 78.275            
12 .116 2.415 80.689            
13 .109 2.256 82.946            
14 .098 2.021 84.967            
15 .092 1.899 86.867            
16 .089 1.849 88.716            
17 .081 1.675 90.391            
18 .073 1.515 91.905            
19 .071 1.481 93.386            
20 .060 1.242 94.629            
21 .057 1.186 95.815            
22 .052 1.088 96.903            
23 .045 .933 97.835            
24 .040 .837 98.672            
25 .038 .784 99.456            
26 .026 .544 100.000            
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: 26
Eigenvalue: 0.0262 Component Number: 25
Eigenvalue: 0.0378 Component Number: 24
Eigenvalue: 0.0404 Component Number: 23
Eigenvalue: 0.0450 Component Number: 22
Eigenvalue: 0.0525 Component Number: 21
Eigenvalue: 0.0572 Component Number: 20
Eigenvalue: 0.0599 Component Number: 19
Eigenvalue: 0.0715 Component Number: 18
Eigenvalue: 0.0731 Component Number: 17
Eigenvalue: 0.0808 Component Number: 16
Eigenvalue: 0.0892 Component Number: 15
Eigenvalue: 0.0916 Component Number: 14
Eigenvalue: 0.0975 Component Number: 13
Eigenvalue: 0.1089 Component Number: 12
Eigenvalue: 0.1165 Component Number: 11
Eigenvalue: 0.1365 Component Number: 10
Eigenvalue: 0.1395 Component Number: 9
Eigenvalue: 0.1739 Component Number: 8
Eigenvalue: 0.1846 Component Number: 7
Eigenvalue: 0.2022 Component Number: 6
Eigenvalue: 0.2211 Component Number: 5
Eigenvalue: 0.2650 Component Number: 4
Eigenvalue: 0.3151 Component Number: 3
Eigenvalue: 0.4263 Component Number: 2
Eigenvalue: 0.6815 Component Number: 1
Eigenvalue: 1.0306 Component Number: 25
Eigenvalue: 0.0378 Component Number: 24
Eigenvalue: 0.0404 Component Number: 23
Eigenvalue: 0.0450 Component Number: 22
Eigenvalue: 0.0525 Component Number: 21
Eigenvalue: 0.0572 Component Number: 20
Eigenvalue: 0.0599 Component Number: 19
Eigenvalue: 0.0715 Component Number: 18
Eigenvalue: 0.0731 Component Number: 17
Eigenvalue: 0.0808 Component Number: 16
Eigenvalue: 0.0892 Component Number: 15
Eigenvalue: 0.0916 Component Number: 14
Eigenvalue: 0.0975 Component Number: 13
Eigenvalue: 0.1089 Component Number: 12
Eigenvalue: 0.1165 Component Number: 11
Eigenvalue: 0.1365 Component Number: 10
Eigenvalue: 0.1395 Component Number: 9
Eigenvalue: 0.1739 Component Number: 8
Eigenvalue: 0.1846 Component Number: 7
Eigenvalue: 0.2022 Component Number: 6
Eigenvalue: 0.2211 Component Number: 5
Eigenvalue: 0.2650 Component Number: 4
Eigenvalue: 0.3151 Component Number: 3
Eigenvalue: 0.4263 Component Number: 2
Eigenvalue: 0.6815 Component Number: 1
Eigenvalue: 1.0306 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

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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 32 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 .346 .080 -.156 .191 -.006 -.071 -.041 .693 .160 -.312 .382 -.013 -.143 -.083
K1b Lending money to relatives .367 .045 -.110 .187 -.074 -.032 .055 .734 .091 -.219 .373 -.147 -.064 .109
K1c Lending money to people in your own village .356 .054 -.025 .190 -.093 .045 .053 .727 .110 -.051 .388 -.190 .092 .108
K1d Lending money to people outside the village .174 .081 .024 .039 -.076 .111 .083 .483 .225 .067 .110 -.211 .308 .231
K1e Lending money to people from the same mosque/ church .167 .099 -.010 .039 -.085 .104 .035 .451 .266 -.028 .106 -.230 .281 .095
K2a Lending tools like axes, hoes etc. to family members .242 .116 -.131 -.100 .123 -.145 -.114 .534 .256 -.288 -.221 .271 -.320 -.251
K2b Lending tools like axes, hoes etc. to relatives outside the household .212 .127 -.103 -.161 .089 -.109 .037 .489 .293 -.239 -.372 .205 -.252 .086
K2c Lending tools like axes, hoes etc. to people in your own village .216 .223 -.075 -.169 -.008 -.022 .014 .454 .470 -.158 -.355 -.018 -.046 .030
K2d Lending tools like axes, hoes etc. to people outside the village .110 .188 -.041 -.203 -.144 .108 .071 .260 .444 -.096 -.480 -.340 .256 .168
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .093 .254 -.069 -.208 -.104 .047 .009 .207 .565 -.154 -.463 -.230 .104 .019
L2 Participated in cooperative agricultural work .288 -.023 .316 -.046 .092 .067 -.012 .591 -.047 .650 -.095 .190 .137 -.026
L3.a. Participated last 12 months in cooperative work of preparing a garden .164 -.033 .196 -.017 .047 .137 -.064 .417 -.083 .498 -.043 .121 .347 -.163
L3.b. Participated last12 months in cooperative work of planting .046 .025 .092 -.003 .021 .013 .037 .198 .106 .390 -.013 .089 .054 .159
L3.d. Participated last 12 months in cooperative work of weeding .159 .045 .154 -.045 .009 .110 -.043 .443 .124 .429 -.125 .026 .307 -.120
L3.e. Participated last 12 months in cooperative work of harvesting .165 -.044 .224 -.012 .053 -.012 .075 .422 -.113 .574 -.032 .135 -.031 .192
L3.f. Participated last 12 months in cooperative work of other agriculture work .174 -.085 .090 .002 .095 -.065 .090 .507 -.247 .262 .005 .275 -.189 .262
L6 Participation in other exchange work than agriculture .277 .080 .073 .023 .158 -.063 -.083 .553 .161 .145 .046 .316 -.126 -.167
L7 Participated in public works without payment during the last year -.219 .225 -.014 .046 -.036 .071 -.072 -.556 .572 -.036 .116 -.092 .180 -.182
L8.a. Participated in school project over the last 12 months -.091 .284 .143 .123 -.165 -.027 -.151 -.181 .567 .285 .246 -.329 -.054 -.301
L8.b. Participated in road project over the last 12 months -.151 .347 -.022 .088 .182 .098 .007 -.305 .699 -.043 .176 .366 .197 .014
L8.c. Participated in bridge project over the last 12 months -.071 .193 .115 -.014 .029 -.071 -.191 -.160 .436 .260 -.031 .066 -.161 -.433
L8.d. Participated in church project over the last 12 months -.110 .215 .183 .028 -.056 -.131 .105 -.246 .483 .411 .062 -.125 -.294 .235
L8.g. Participated in health centre project over the last 12 months -.042 .144 .062 -.030 -.010 -.054 .071 -.122 .415 .178 -.088 -.028 -.154 .205
L8.h. Participated in irrigation project over the last 12 months -.003 .096 .070 .093 -.058 -.066 -.074 -.009 .298 .219 .289 -.180 -.206 -.229
L8.i. Participated in borehole project over the last 12 months -.159 .168 .155 .036 -.027 -.187 .200 -.355 .375 .347 .081 -.059 -.417 .446
L8.k. Participated in graveyard clearing project over the last 12 months -.162 .247 -.117 .116 .256 .137 .113 -.326 .496 -.236 .233 .515 .275 .227
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 32 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 -.006 .373 -.025 .217 .031 -.013 -.075 -.012 .747 -.051 .434 .062 -.026 -.151
K1b Lending money to relatives .035 .412 .010 .133 -.029 -.056 -.030 .071 .822 .019 .265 -.059 -.111 -.060
K1c Lending money to people in your own village .113 .400 .032 .055 -.001 -.040 -.034 .231 .817 .066 .113 -.002 -.081 -.069
K1d Lending money to people outside the village .105 .191 .121 -.031 -.019 .019 .008 .291 .531 .336 -.086 -.053 .052 .022
K1e Lending money to people from the same mosque/ church .069 .189 .130 -.011 .017 .021 -.022 .186 .510 .350 -.029 .047 .056 -.060
K2a Lending tools like axes, hoes etc. to family members .006 .068 .069 .367 .021 -.008 -.062 .012 .150 .151 .809 .046 -.018 -.136
K2b Lending tools like axes, hoes etc. to relatives outside the household .021 .052 .147 .295 -.077 .001 .035 .048 .120 .339 .681 -.178 .003 .082
K2c Lending tools like axes, hoes etc. to people in your own village .041 .089 .263 .226 .009 .022 .031 .085 .187 .553 .476 .018 .047 .065
K2d Lending tools like axes, hoes etc. to people outside the village .024 .049 .352 .019 -.010 -.001 .030 .056 .115 .830 .046 -.024 -.001 .070
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.015 .022 .343 .104 .056 .031 .037 -.034 .048 .762 .230 .123 .070 .083
L2 Participated in cooperative agricultural work .431 .056 .008 .070 .000 -.067 -.006 .886 .115 .016 .143 .000 -.137 -.013
L3.a. Participated last 12 months in cooperative work of preparing a garden .284 .028 .017 -.016 .025 -.016 -.092 .723 .072 .042 -.040 .064 -.041 -.235
L3.b. Participated last12 months in cooperative work of planting .103 .014 .009 -.001 -.002 .008 .048 .437 .061 .038 -.003 -.008 .036 .204
L3.d. Participated last 12 months in cooperative work of weeding .231 .043 .086 .011 .044 -.006 -.047 .644 .120 .240 .031 .124 -.016 -.131
L3.e. Participated last 12 months in cooperative work of harvesting .267 .040 -.034 .026 -.050 -.069 .078 .683 .103 -.087 .068 -.127 -.178 .201
L3.f. Participated last 12 months in cooperative work of other agriculture work .162 .066 -.076 .098 -.122 -.064 .046 .471 .191 -.221 .284 -.356 -.186 .135
L6 Participation in other exchange work than agriculture .205 .118 -.033 .253 .047 .022 -.032 .409 .236 -.067 .506 .094 .043 -.064
L7 Participated in public works without payment during the last year -.114 -.072 .074 -.096 .203 .188 .049 -.290 -.182 .189 -.245 .517 .479 .123
L8.a. Participated in school project over the last 12 months -.005 .045 .063 -.072 .384 .050 .120 -.010 .090 .127 -.145 .766 .100 .239
L8.b. Participated in road project over the last 12 months -.029 -.026 .048 .027 .144 .400 .095 -.058 -.053 .097 .054 .289 .806 .191
L8.c. Participated in bridge project over the last 12 months .039 -.104 .014 .084 .270 .058 .044 .088 -.236 .032 .190 .612 .132 .100
L8.d. Participated in church project over the last 12 months .031 -.031 .029 -.031 .145 .042 .312 .070 -.069 .065 -.070 .325 .094 .700
L8.g. Participated in health centre project over the last 12 months .010 -.023 .066 .016 .049 .050 .159 .027 -.065 .190 .047 .141 .143 .458
L8.h. Participated in irrigation project over the last 12 months .007 .051 -.031 .004 .169 -.011 .061 .020 .159 -.097 .013 .525 -.033 .189
L8.i. Participated in borehole project over the last 12 months -.020 -.051 -.025 -.038 .056 .042 .380 -.045 -.113 -.056 -.084 .125 .093 .849
L8.k. Participated in graveyard clearing project over the last 12 months -.076 -.006 -.012 .004 -.025 .448 .063 -.154 -.013 -.024 .009 -.050 .901 .128
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 7 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 .462 .637 .179 .470 -.151 -.254 -.201
2 -.034 .158 .484 .246 .499 .531 .385
3 .787 -.222 -.146 -.260 .293 -.167 .360
4 -.094 .618 -.638 -.269 .259 .246 .038
5 .273 -.291 -.413 .474 -.281 .597 -.098
6 .287 .078 .349 -.551 -.131 .437 -.527
7 .007 .216 .111 -.224 -.692 .134 .627
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: 0.0560
Component 2: 0.1155
Component 3: 0.8303 Component 1: -0.0339
Component 2: 0.0484
Component 3: 0.7623 Component 1: 0.6440
Component 2: 0.1199
Component 3: 0.2397 Component 1: 0.8862
Component 2: 0.1153
Component 3: 0.0159 Component 1: 0.2908
Component 2: 0.5312
Component 3: 0.3359 Component 1: 0.0854
Component 2: 0.1873
Component 3: 0.5527 Component 1: 0.1856
Component 2: 0.5103
Component 3: 0.3499 Component 1: 0.7228
Component 2: 0.0717
Component 3: 0.0422 Component 1: 0.6828
Component 2: 0.1032
Component 3: -0.0875 Component 1: 0.2311
Component 2: 0.8169
Component 3: 0.0662 Component 1: 0.0475
Component 2: 0.1201
Component 3: 0.3391 Component 1: 0.4367
Component 2: 0.0607
Component 3: 0.0377 Component 1: 0.4094
Component 2: 0.2359
Component 3: -0.0667 Component 1: 0.0706
Component 2: 0.8224
Component 3: 0.0194 Component 1: 0.0274
Component 2: -0.0652
Component 3: 0.1896 Component 1: 0.0125
Component 2: 0.1498
Component 3: 0.1510 Component 1: 0.4714
Component 2: 0.1908
Component 3: -0.2211 Component 1: -0.0095
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