IBM SPSS Web Report - 26 binary var PC varimax 4 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(4) 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 .186 1.000 .749
K1b Lending money to relatives .251 .184 1.000 .734
K1c Lending money to people in your own village .239 .166 1.000 .693
K1d Lending money to people outside the village .129 .039 1.000 .300
K1e Lending money to people from the same mosque/ church .137 .039 1.000 .286
K2a Lending tools like axes, hoes etc. to family members .206 .099 1.000 .482
K2b Lending tools like axes, hoes etc. to relatives outside the household .188 .098 1.000 .521
K2c Lending tools like axes, hoes etc. to people in your own village .226 .131 1.000 .577
K2d Lending tools like axes, hoes etc. to people outside the village .180 .091 1.000 .504
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .202 .122 1.000 .600
L2 Participated in cooperative agricultural work .237 .185 1.000 .783
L3.a. Participated last 12 months in cooperative work of preparing a garden .155 .067 1.000 .430
L3.b. Participated last12 months in cooperative work of planting .055 .011 1.000 .202
L3.d. Participated last 12 months in cooperative work of weeding .129 .053 1.000 .411
L3.e. Participated last 12 months in cooperative work of harvesting .152 .079 1.000 .521
L3.f. Participated last 12 months in cooperative work of other agriculture work .118 .046 1.000 .387
L6 Participation in other exchange work than agriculture .251 .089 1.000 .355
L7 Participated in public works without payment during the last year .155 .101 1.000 .650
L8.a. Participated in school project over the last 12 months .251 .125 1.000 .497
L8.b. Participated in road project over the last 12 months .247 .152 1.000 .614
L8.c. Participated in bridge project over the last 12 months .195 .056 1.000 .284
L8.d. Participated in church project over the last 12 months .199 .093 1.000 .466
L8.g. Participated in health centre project over the last 12 months .121 .027 1.000 .227
L8.h. Participated in irrigation project over the last 12 months .104 .023 1.000 .220
L8.i. Participated in borehole project over the last 12 months .201 .079 1.000 .393
L8.k. Participated in graveyard clearing project over the last 12 months .247 .114 1.000 .463
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 .586 12.140 12.140
2 .682 14.126 35.488 .682 14.126 35.488 .658 13.633 25.773
3 .426 8.837 44.325 .426 8.837 44.325 .693 14.360 40.133
4 .315 6.531 50.856 .315 6.531 50.856 .517 10.723 50.856
5 .265 5.494 56.350            
6 .221 4.583 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 3.300 12.694 12.694
2 .682 14.126 35.488 3.399 13.072 32.648 3.299 12.689 25.383
3 .426 8.837 44.325 2.353 9.051 41.700 3.129 12.034 37.416
4 .315 6.531 50.856 1.509 5.803 47.503 2.623 10.087 47.503
5 .265 5.494 56.350            
6 .221 4.583 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            
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 9 columns and 32 rows
  Raw Rescaled
Component Component
1 2 3 4 1 2 3 4
K1a Lending money to family members .346 .080 -.156 .191 .693 .160 -.312 .382
K1b Lending money to relatives .367 .045 -.110 .187 .734 .091 -.219 .373
K1c Lending money to people in your own village .356 .054 -.025 .190 .727 .110 -.051 .388
K1d Lending money to people outside the village .174 .081 .024 .039 .483 .225 .067 .110
K1e Lending money to people from the same mosque/ church .167 .099 -.010 .039 .451 .266 -.028 .106
K2a Lending tools like axes, hoes etc. to family members .242 .116 -.131 -.100 .534 .256 -.288 -.221
K2b Lending tools like axes, hoes etc. to relatives outside the household .212 .127 -.103 -.161 .489 .293 -.239 -.372
K2c Lending tools like axes, hoes etc. to people in your own village .216 .223 -.075 -.169 .454 .470 -.158 -.355
K2d Lending tools like axes, hoes etc. to people outside the village .110 .188 -.041 -.203 .260 .444 -.096 -.480
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .093 .254 -.069 -.208 .207 .565 -.154 -.463
L2 Participated in cooperative agricultural work .288 -.023 .316 -.046 .591 -.047 .650 -.095
L3.a. Participated last 12 months in cooperative work of preparing a garden .164 -.033 .196 -.017 .417 -.083 .498 -.043
L3.b. Participated last12 months in cooperative work of planting .046 .025 .092 -.003 .198 .106 .390 -.013
L3.d. Participated last 12 months in cooperative work of weeding .159 .045 .154 -.045 .443 .124 .429 -.125
L3.e. Participated last 12 months in cooperative work of harvesting .165 -.044 .224 -.012 .422 -.113 .574 -.032
L3.f. Participated last 12 months in cooperative work of other agriculture work .174 -.085 .090 .002 .507 -.247 .262 .005
L6 Participation in other exchange work than agriculture .277 .080 .073 .023 .553 .161 .145 .046
L7 Participated in public works without payment during the last year -.219 .225 -.014 .046 -.556 .572 -.036 .116
L8.a. Participated in school project over the last 12 months -.091 .284 .143 .123 -.181 .567 .285 .246
L8.b. Participated in road project over the last 12 months -.151 .347 -.022 .088 -.305 .699 -.043 .176
L8.c. Participated in bridge project over the last 12 months -.071 .193 .115 -.014 -.160 .436 .260 -.031
L8.d. Participated in church project over the last 12 months -.110 .215 .183 .028 -.246 .483 .411 .062
L8.g. Participated in health centre project over the last 12 months -.042 .144 .062 -.030 -.122 .415 .178 -.088
L8.h. Participated in irrigation project over the last 12 months -.003 .096 .070 .093 -.009 .298 .219 .289
L8.i. Participated in borehole project over the last 12 months -.159 .168 .155 .036 -.355 .375 .347 .081
L8.k. Participated in graveyard clearing project over the last 12 months -.162 .247 -.117 .116 -.326 .496 -.236 .233
Extraction Method: Principal Component Analysis.
a. 4 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 9 columns and 32 rows
  Raw Rescaled
Component Component
1 2 3 4 1 2 3 4
K1a Lending money to family members .003 -.071 .420 .071 .007 -.142 .841 .143
K1b Lending money to relatives .058 -.088 .412 .052 .117 -.176 .824 .104
K1c Lending money to people in your own village .121 -.042 .386 .027 .248 -.086 .788 .055
K1d Lending money to people outside the village .090 .025 .159 .070 .250 .069 .441 .195
K1e Lending money to people from the same mosque/ church .055 .027 .167 .087 .149 .074 .452 .234
K2a Lending tools like axes, hoes etc. to family members .013 -.069 .169 .256 .029 -.152 .372 .565
K2b Lending tools like axes, hoes etc. to relatives outside the household .029 -.054 .105 .288 .067 -.125 .243 .664
K2c Lending tools like axes, hoes etc. to people in your own village .041 .032 .119 .337 .087 .068 .250 .709
K2d Lending tools like axes, hoes etc. to people outside the village .027 .045 .006 .296 .063 .107 .014 .699
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.015 .092 .014 .336 -.032 .204 .032 .746
L2 Participated in cooperative agricultural work .420 -.001 .083 .041 .864 -.002 .172 .084
L3.a. Participated last 12 months in cooperative work of preparing a garden .254 -.008 .045 .002 .646 -.020 .114 .005
L3.b. Participated last12 months in cooperative work of planting .097 .040 .012 .007 .411 .172 .053 .031
L3.d. Participated last 12 months in cooperative work of weeding .210 .032 .054 .072 .584 .089 .149 .200
L3.e. Participated last 12 months in cooperative work of harvesting .279 -.004 .038 -.015 .714 -.012 .097 -.037
L3.f. Participated last 12 months in cooperative work of other agriculture work .176 -.092 .079 -.006 .513 -.267 .230 -.019
L6 Participation in other exchange work than agriculture .186 .004 .208 .106 .371 .008 .415 .213
L7 Participated in public works without payment during the last year -.164 .263 -.067 .008 -.417 .668 -.170 .021
L8.a. Participated in school project over the last 12 months .010 .350 .043 -.013 .020 .699 .086 -.026
L8.b. Participated in road project over the last 12 months -.161 .346 .037 .068 -.325 .696 .075 .137
L8.c. Participated in bridge project over the last 12 months .033 .223 -.042 .053 .075 .505 -.096 .121
L8.d. Participated in church project over the last 12 months .060 .293 -.056 .002 .134 .658 -.126 .005
L8.g. Participated in health centre project over the last 12 months .013 .149 -.031 .065 .038 .427 -.088 .187
L8.h. Participated in irrigation project over the last 12 months .027 .130 .060 -.038 .085 .405 .187 -.117
L8.i. Participated in borehole project over the last 12 months .017 .263 -.090 -.039 .038 .587 -.200 -.087
L8.k. Participated in graveyard clearing project over the last 12 months -.236 .237 .048 .017 -.475 .476 .097 .035
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 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 5 columns and 7 rows
Component 1 2 3 4
1 .509 -.347 .699 .364
2 -.150 .806 .238 .520
3 .832 .407 -.263 -.270
4 -.163 .253 .621 -.724
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: 0.2480
Component 2: -0.0857
Component 3: 0.7882 Component 1: 0.1168
Component 2: -0.1760
Component 3: 0.8236 Component 1: 0.0066
Component 2: -0.1417
Component 3: 0.8415 Component 1: 0.8640
Component 2: -0.0022
Component 3: 0.1715 Component 1: 0.3707
Component 2: 0.0084
Component 3: 0.4151 Component 1: 0.2503
Component 2: 0.0690
Component 3: 0.4413 Component 1: 0.7143
Component 2: -0.0115
Component 3: 0.0969 Component 1: 0.5838
Component 2: 0.0890
Component 3: 0.1489 Component 1: 0.1488
Component 2: 0.0740
Component 3: 0.4515 Component 1: 0.6456
Component 2: -0.0197
Component 3: 0.1138 Component 1: 0.5125
Component 2: -0.2667
Component 3: 0.2299 Component 1: 0.4112
Component 2: 0.1722
Component 3: 0.0527 Component 1: 0.0294
Component 2: -0.1517
Component 3: 0.3724 Component 1: 0.0854
Component 2: 0.4053
Component 3: 0.1867 Component 1: 0.0869
Component 2: 0.0676
Component 3: 0.2503 Component 1: 0.0667
Component 2: -0.1246
Component 3: 0.2429 Component 1: 0.0198
Component 2: 0.6989
Component 3: 0.0864 Component 1: 0.1335
Component 2: 0.6576
Component 3: -0.1264 Component 1: 0.0635
Component 2: 0.1070
Component 3: 0.0143 Component 1: 0.0748
Component 2: 0.5051
Component 3: -0.0961 Component 1: -0.0323
Component 2: 0.2036
Component 3: 0.0320 Component 1: 0.0382
Component 2: 0.4273
Component 3: -0.0878 Component 1: -0.3247
Component 2: 0.6961
Component 3: 0.0745 Component 1: 0.0385
Component 2: 0.5866
Component 3: -0.1999 Component 1: -0.4746
Component 2: 0.4763
Component 3: 0.0968 Component 1: -0.4175
Component 2: 0.6683
Component 3: -0.1702