IBM SPSS Web Report - 26 binary var PC varimax 6 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 FACTORS(6) 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 .192 1.000 .769
K1b Lending money to relatives .251 .190 1.000 .759
K1c Lending money to people in your own village .239 .177 1.000 .738
K1d Lending money to people outside the village .129 .057 1.000 .440
K1e Lending money to people from the same mosque/ church .137 .057 1.000 .418
K2a Lending tools like axes, hoes etc. to family members .206 .135 1.000 .658
K2b Lending tools like axes, hoes etc. to relatives outside the household .188 .118 1.000 .626
K2c Lending tools like axes, hoes etc. to people in your own village .226 .131 1.000 .580
K2d Lending tools like axes, hoes etc. to people outside the village .180 .123 1.000 .685
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .202 .134 1.000 .664
L2 Participated in cooperative agricultural work .237 .198 1.000 .838
L3.a. Participated last 12 months in cooperative work of preparing a garden .155 .088 1.000 .565
L3.b. Participated last12 months in cooperative work of planting .055 .012 1.000 .213
L3.d. Participated last 12 months in cooperative work of weeding .129 .065 1.000 .506
L3.e. Participated last 12 months in cooperative work of harvesting .152 .082 1.000 .540
L3.f. Participated last 12 months in cooperative work of other agriculture work .118 .059 1.000 .499
L6 Participation in other exchange work than agriculture .251 .118 1.000 .471
L7 Participated in public works without payment during the last year .155 .107 1.000 .691
L8.a. Participated in school project over the last 12 months .251 .153 1.000 .608
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 .061 1.000 .315
L8.d. Participated in church project over the last 12 months .199 .113 1.000 .568
L8.g. Participated in health centre project over the last 12 months .121 .030 1.000 .251
L8.h. Participated in irrigation project over the last 12 months .104 .031 1.000 .295
L8.i. Participated in borehole project over the last 12 months .201 .115 1.000 .571
L8.k. Participated in graveyard clearing project over the last 12 months .247 .199 1.000 .804
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 .529 10.966 10.966
2 .682 14.126 35.488 .682 14.126 35.488 .618 12.819 23.785
3 .426 8.837 44.325 .426 8.837 44.325 .504 10.448 34.234
4 .315 6.531 50.856 .315 6.531 50.856 .456 9.454 43.688
5 .265 5.494 56.350 .265 5.494 56.350 .401 8.320 52.008
6 .221 4.583 60.933 .221 4.583 60.933 .431 8.925 60.933
7 .202 4.191 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 3.102 11.932 11.932
2 .682 14.126 35.488 3.399 13.072 32.648 2.833 10.897 22.829
3 .426 8.837 44.325 2.353 9.051 41.700 2.636 10.137 32.966
4 .315 6.531 50.856 1.509 5.803 47.503 2.212 8.506 41.472
5 .265 5.494 56.350 1.266 4.867 52.370 2.176 8.370 49.842
6 .221 4.583 60.933 1.243 4.780 57.151 1.900 7.309 57.151
7 .202 4.191 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            
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 13 columns and 32 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 1 2 3 4 5 6
K1a Lending money to family members .346 .080 -.156 .191 -.006 -.071 .693 .160 -.312 .382 -.013 -.143
K1b Lending money to relatives .367 .045 -.110 .187 -.074 -.032 .734 .091 -.219 .373 -.147 -.064
K1c Lending money to people in your own village .356 .054 -.025 .190 -.093 .045 .727 .110 -.051 .388 -.190 .092
K1d Lending money to people outside the village .174 .081 .024 .039 -.076 .111 .483 .225 .067 .110 -.211 .308
K1e Lending money to people from the same mosque/ church .167 .099 -.010 .039 -.085 .104 .451 .266 -.028 .106 -.230 .281
K2a Lending tools like axes, hoes etc. to family members .242 .116 -.131 -.100 .123 -.145 .534 .256 -.288 -.221 .271 -.320
K2b Lending tools like axes, hoes etc. to relatives outside the household .212 .127 -.103 -.161 .089 -.109 .489 .293 -.239 -.372 .205 -.252
K2c Lending tools like axes, hoes etc. to people in your own village .216 .223 -.075 -.169 -.008 -.022 .454 .470 -.158 -.355 -.018 -.046
K2d Lending tools like axes, hoes etc. to people outside the village .110 .188 -.041 -.203 -.144 .108 .260 .444 -.096 -.480 -.340 .256
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .093 .254 -.069 -.208 -.104 .047 .207 .565 -.154 -.463 -.230 .104
L2 Participated in cooperative agricultural work .288 -.023 .316 -.046 .092 .067 .591 -.047 .650 -.095 .190 .137
L3.a. Participated last 12 months in cooperative work of preparing a garden .164 -.033 .196 -.017 .047 .137 .417 -.083 .498 -.043 .121 .347
L3.b. Participated last12 months in cooperative work of planting .046 .025 .092 -.003 .021 .013 .198 .106 .390 -.013 .089 .054
L3.d. Participated last 12 months in cooperative work of weeding .159 .045 .154 -.045 .009 .110 .443 .124 .429 -.125 .026 .307
L3.e. Participated last 12 months in cooperative work of harvesting .165 -.044 .224 -.012 .053 -.012 .422 -.113 .574 -.032 .135 -.031
L3.f. Participated last 12 months in cooperative work of other agriculture work .174 -.085 .090 .002 .095 -.065 .507 -.247 .262 .005 .275 -.189
L6 Participation in other exchange work than agriculture .277 .080 .073 .023 .158 -.063 .553 .161 .145 .046 .316 -.126
L7 Participated in public works without payment during the last year -.219 .225 -.014 .046 -.036 .071 -.556 .572 -.036 .116 -.092 .180
L8.a. Participated in school project over the last 12 months -.091 .284 .143 .123 -.165 -.027 -.181 .567 .285 .246 -.329 -.054
L8.b. Participated in road project over the last 12 months -.151 .347 -.022 .088 .182 .098 -.305 .699 -.043 .176 .366 .197
L8.c. Participated in bridge project over the last 12 months -.071 .193 .115 -.014 .029 -.071 -.160 .436 .260 -.031 .066 -.161
L8.d. Participated in church project over the last 12 months -.110 .215 .183 .028 -.056 -.131 -.246 .483 .411 .062 -.125 -.294
L8.g. Participated in health centre project over the last 12 months -.042 .144 .062 -.030 -.010 -.054 -.122 .415 .178 -.088 -.028 -.154
L8.h. Participated in irrigation project over the last 12 months -.003 .096 .070 .093 -.058 -.066 -.009 .298 .219 .289 -.180 -.206
L8.i. Participated in borehole project over the last 12 months -.159 .168 .155 .036 -.027 -.187 -.355 .375 .347 .081 -.059 -.417
L8.k. Participated in graveyard clearing project over the last 12 months -.162 .247 -.117 .116 .256 .137 -.326 .496 -.236 .233 .515 .275
Extraction Method: Principal Component Analysis.
a. 6 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 13 columns and 32 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 1 2 3 4 5 6
K1a Lending money to family members -.003 .387 -.037 .200 -.023 -.007 -.006 .775 -.075 .401 -.045 -.015
K1b Lending money to relatives .037 .406 -.047 .136 .004 -.062 .074 .810 -.093 .272 .009 -.124
K1c Lending money to people in your own village .114 .396 -.031 .055 .030 -.044 .233 .809 -.064 .113 .061 -.090
K1d Lending money to people outside the village .104 .179 -.009 -.019 .115 .011 .289 .499 -.026 -.054 .321 .031
K1e Lending money to people from the same mosque/ church .068 .188 -.007 -.010 .129 .019 .184 .508 -.019 -.027 .349 .053
K2a Lending tools like axes, hoes etc. to family members .009 .090 -.024 .348 .072 .005 .020 .199 -.053 .768 .159 .011
K2b Lending tools like axes, hoes etc. to relatives outside the household .022 .042 -.018 .311 .135 -.005 .051 .096 -.040 .718 .311 -.011
K2c Lending tools like axes, hoes etc. to people in your own village .041 .089 .035 .232 .257 .022 .086 .188 .073 .488 .540 .046
K2d Lending tools like axes, hoes etc. to people outside the village .022 .039 .017 .036 .346 -.005 .051 .092 .040 .085 .816 -.012
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.017 .026 .069 .107 .341 .034 -.038 .057 .153 .237 .758 .075
L2 Participated in cooperative agricultural work .432 .057 .000 .065 .010 -.065 .888 .118 .001 .133 .021 -.134
L3.a. Participated last 12 months in cooperative work of preparing a garden .285 .043 -.050 -.033 .027 -.006 .725 .108 -.127 -.085 .069 -.015
L3.b. Participated last12 months in cooperative work of planting .102 .007 .035 .006 .005 .003 .434 .030 .151 .025 .021 .013
L3.d. Participated last 12 months in cooperative work of weeding .232 .055 -.003 -.002 .093 .002 .644 .153 -.008 -.005 .260 .006
L3.e. Participated last 12 months in cooperative work of harvesting .266 .022 .028 .042 -.043 -.081 .682 .056 .071 .108 -.109 -.208
L3.f. Participated last 12 months in cooperative work of other agriculture work .163 .041 -.045 .121 -.089 -.078 .475 .120 -.130 .351 -.258 -.228
L6 Participation in other exchange work than agriculture .207 .136 .014 .233 -.029 .031 .414 .272 .028 .466 -.058 .062
L7 Participated in public works without payment during the last year -.117 -.046 .172 -.121 .085 .200 -.298 -.117 .436 -.307 .216 .508
L8.a. Participated in school project over the last 12 months -.009 .091 .343 -.122 .084 .070 -.018 .182 .684 -.244 .167 .139
L8.b. Participated in road project over the last 12 months -.031 -.015 .172 .018 .046 .401 -.063 -.031 .347 .036 .093 .807
L8.c. Participated in bridge project over the last 12 months .037 -.058 .218 .037 .033 .082 .085 -.132 .493 .083 .075 .185
L8.d. Participated in church project over the last 12 months .026 -.047 .330 -.016 .016 .024 .059 -.106 .741 -.035 .035 .054
L8.g. Participated in health centre project over the last 12 months .007 -.035 .153 .030 .056 .039 .020 -.100 .441 .086 .162 .112
L8.h. Participated in irrigation project over the last 12 months .005 .072 .157 -.019 -.022 -.003 .016 .223 .486 -.060 -.070 -.008
L8.i. Participated in borehole project over the last 12 months -.025 -.090 .321 .002 -.050 .010 -.056 -.202 .717 .004 -.112 .021
L8.k. Participated in graveyard clearing project over the last 12 months -.077 -.021 .036 .022 -.026 .436 -.156 -.043 .072 .045 -.052 .876
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 7 columns and 9 rows
Component 1 2 3 4 5 6
1 .469 .637 -.247 .468 .177 -.251
2 -.042 .190 .631 .221 .480 .534
3 .779 -.221 .468 -.275 -.139 -.174
4 -.095 .639 .181 -.311 -.627 .244
5 .281 -.303 -.234 .488 -.431 .592
6 .288 .095 -.485 -.567 .374 .461
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: 0.0586
Component 2: -0.1061
Component 3: 0.7405 Component 1: -0.0178
Component 2: 0.1815
Component 3: 0.6840 Component 1: 0.8876
Component 2: 0.1181
Component 3: 0.0005 Component 1: -0.0562
Component 2: -0.2016
Component 3: 0.7168 Component 1: 0.6821
Component 2: 0.0558
Component 3: 0.0707 Component 1: 0.0163
Component 2: 0.2225
Component 3: 0.4865 Component 1: 0.0848
Component 2: -0.1321
Component 3: 0.4933 Component 1: 0.6440
Component 2: 0.1526
Component 3: -0.0081 Component 1: 0.4340
Component 2: 0.0298
Component 3: 0.1509 Component 1: 0.0204
Component 2: -0.1001
Component 3: 0.4407 Component 1: 0.7248
Component 2: 0.1085
Component 3: -0.1268 Component 1: 0.4143
Component 2: 0.2722
Component 3: 0.0280 Component 1: -0.0630
Component 2: -0.0309
Component 3: 0.3467 Component 1: 0.2886
Component 2: 0.4987
Component 3: -0.0259 Component 1: 0.2333
Component 2: 0.8090
Component 3: -0.0638 Component 1: 0.4751
Component 2: 0.1198
Component 3: -0.1298 Component 1: 0.1844
Component 2: 0.5083
Component 3: -0.0193 Component 1: -0.2978
Component 2: -0.1174
Component 3: 0.4363 Component 1: 0.0856
Component 2: 0.1879
Component 3: 0.0731 Component 1: -0.0376
Component 2: 0.0574
Component 3: 0.1528 Component 1: 0.0744
Component 2: 0.8097
Component 3: -0.0933 Component 1: 0.0515
Component 2: 0.0921
Component 3: 0.0397 Component 1: -0.0059
Component 2: 0.7749
Component 3: -0.0749 Component 1: 0.0512
Component 2: 0.0960
Component 3: -0.0404 Component 1: 0.0198
Component 2: 0.1986
Component 3: -0.0527 Component 1: -0.1558
Component 2: -0.0426
Component 3: 0.0719