IBM SPSS Web Report - 26 binary var PC varimax 5 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(5) 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 .189 1.000 .755
K1c Lending money to people in your own village .239 .175 1.000 .729
K1d Lending money to people outside the village .129 .045 1.000 .345
K1e Lending money to people from the same mosque/ church .137 .047 1.000 .339
K2a Lending tools like axes, hoes etc. to family members .206 .114 1.000 .555
K2b Lending tools like axes, hoes etc. to relatives outside the household .188 .106 1.000 .562
K2c Lending tools like axes, hoes etc. to people in your own village .226 .131 1.000 .578
K2d Lending tools like axes, hoes etc. to people outside the village .180 .111 1.000 .620
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .202 .132 1.000 .653
L2 Participated in cooperative agricultural work .237 .194 1.000 .819
L3.a. Participated last 12 months in cooperative work of preparing a garden .155 .069 1.000 .445
L3.b. Participated last12 months in cooperative work of planting .055 .012 1.000 .210
L3.d. Participated last 12 months in cooperative work of weeding .129 .053 1.000 .412
L3.e. Participated last 12 months in cooperative work of harvesting .152 .082 1.000 .539
L3.f. Participated last 12 months in cooperative work of other agriculture work .118 .055 1.000 .463
L6 Participation in other exchange work than agriculture .251 .114 1.000 .455
L7 Participated in public works without payment during the last year .155 .102 1.000 .659
L8.a. Participated in school project over the last 12 months .251 .152 1.000 .605
L8.b. Participated in road project over the last 12 months .247 .185 1.000 .748
L8.c. Participated in bridge project over the last 12 months .195 .056 1.000 .289
L8.d. Participated in church project over the last 12 months .199 .096 1.000 .482
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 .026 1.000 .253
L8.i. Participated in borehole project over the last 12 months .201 .080 1.000 .397
L8.k. Participated in graveyard clearing project over the last 12 months .247 .180 1.000 .728
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 .580 12.024 12.024
2 .682 14.126 35.488 .682 14.126 35.488 .615 12.746 24.769
3 .426 8.837 44.325 .426 8.837 44.325 .661 13.703 38.472
4 .315 6.531 50.856 .315 6.531 50.856 .513 10.624 49.096
5 .265 5.494 56.350 .265 5.494 56.350 .350 7.255 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 3.322 12.778 12.778
2 .682 14.126 35.488 3.399 13.072 32.648 3.161 12.158 24.937
3 .426 8.837 44.325 2.353 9.051 41.700 3.008 11.571 36.508
4 .315 6.531 50.856 1.509 5.803 47.503 2.613 10.050 46.558
5 .265 5.494 56.350 1.266 4.867 52.370 1.511 5.813 52.370
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 11 columns and 32 rows
  Raw Rescaled
Component Component
1 2 3 4 5 1 2 3 4 5
K1a Lending money to family members .346 .080 -.156 .191 -.006 .693 .160 -.312 .382 -.013
K1b Lending money to relatives .367 .045 -.110 .187 -.074 .734 .091 -.219 .373 -.147
K1c Lending money to people in your own village .356 .054 -.025 .190 -.093 .727 .110 -.051 .388 -.190
K1d Lending money to people outside the village .174 .081 .024 .039 -.076 .483 .225 .067 .110 -.211
K1e Lending money to people from the same mosque/ church .167 .099 -.010 .039 -.085 .451 .266 -.028 .106 -.230
K2a Lending tools like axes, hoes etc. to family members .242 .116 -.131 -.100 .123 .534 .256 -.288 -.221 .271
K2b Lending tools like axes, hoes etc. to relatives outside the household .212 .127 -.103 -.161 .089 .489 .293 -.239 -.372 .205
K2c Lending tools like axes, hoes etc. to people in your own village .216 .223 -.075 -.169 -.008 .454 .470 -.158 -.355 -.018
K2d Lending tools like axes, hoes etc. to people outside the village .110 .188 -.041 -.203 -.144 .260 .444 -.096 -.480 -.340
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .093 .254 -.069 -.208 -.104 .207 .565 -.154 -.463 -.230
L2 Participated in cooperative agricultural work .288 -.023 .316 -.046 .092 .591 -.047 .650 -.095 .190
L3.a. Participated last 12 months in cooperative work of preparing a garden .164 -.033 .196 -.017 .047 .417 -.083 .498 -.043 .121
L3.b. Participated last12 months in cooperative work of planting .046 .025 .092 -.003 .021 .198 .106 .390 -.013 .089
L3.d. Participated last 12 months in cooperative work of weeding .159 .045 .154 -.045 .009 .443 .124 .429 -.125 .026
L3.e. Participated last 12 months in cooperative work of harvesting .165 -.044 .224 -.012 .053 .422 -.113 .574 -.032 .135
L3.f. Participated last 12 months in cooperative work of other agriculture work .174 -.085 .090 .002 .095 .507 -.247 .262 .005 .275
L6 Participation in other exchange work than agriculture .277 .080 .073 .023 .158 .553 .161 .145 .046 .316
L7 Participated in public works without payment during the last year -.219 .225 -.014 .046 -.036 -.556 .572 -.036 .116 -.092
L8.a. Participated in school project over the last 12 months -.091 .284 .143 .123 -.165 -.181 .567 .285 .246 -.329
L8.b. Participated in road project over the last 12 months -.151 .347 -.022 .088 .182 -.305 .699 -.043 .176 .366
L8.c. Participated in bridge project over the last 12 months -.071 .193 .115 -.014 .029 -.160 .436 .260 -.031 .066
L8.d. Participated in church project over the last 12 months -.110 .215 .183 .028 -.056 -.246 .483 .411 .062 -.125
L8.g. Participated in health centre project over the last 12 months -.042 .144 .062 -.030 -.010 -.122 .415 .178 -.088 -.028
L8.h. Participated in irrigation project over the last 12 months -.003 .096 .070 .093 -.058 -.009 .298 .219 .289 -.180
L8.i. Participated in borehole project over the last 12 months -.159 .168 .155 .036 -.027 -.355 .375 .347 .081 -.059
L8.k. Participated in graveyard clearing project over the last 12 months -.162 .247 -.117 .116 .256 -.326 .496 -.236 .233 .515
Extraction Method: Principal Component Analysis.
a. 5 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 11 columns and 32 rows
  Raw Rescaled
Component Component
1 2 3 4 5 1 2 3 4 5
K1a Lending money to family members .035 -.101 .404 .067 .085 .070 -.202 .810 .134 .170
K1b Lending money to relatives .062 -.092 .417 .054 .000 .124 -.184 .833 .108 .001
K1c Lending money to people in your own village .113 -.034 .398 .032 -.032 .231 -.070 .814 .066 -.065
K1d Lending money to people outside the village .074 .038 .174 .076 -.040 .206 .105 .483 .213 -.112
K1e Lending money to people from the same mosque/ church .039 .039 .184 .093 -.032 .106 .105 .496 .251 -.087
K2a Lending tools like axes, hoes etc. to family members .072 -.123 .124 .242 .142 .159 -.270 .274 .532 .314
K2b Lending tools like axes, hoes etc. to relatives outside the household .071 -.093 .072 .277 .099 .164 -.216 .167 .639 .229
K2c Lending tools like axes, hoes etc. to people in your own village .055 .015 .111 .336 .047 .115 .031 .234 .706 .099
K2d Lending tools like axes, hoes etc. to people outside the village -.014 .076 .041 .309 -.091 -.034 .178 .097 .729 -.215
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.037 .102 .036 .344 -.023 -.081 .227 .080 .765 -.051
L2 Participated in cooperative agricultural work .433 .000 .061 .035 -.040 .890 -.001 .126 .071 -.081
L3.a. Participated last 12 months in cooperative work of preparing a garden .258 -.003 .034 -.001 -.037 .654 -.008 .088 -.003 -.093
L3.b. Participated last12 months in cooperative work of planting .100 .039 .007 .006 .001 .425 .167 .032 .026 .006
L3.d. Participated last 12 months in cooperative work of weeding .207 .038 .051 .072 -.034 .575 .107 .143 .201 -.093
L3.e. Participated last 12 months in cooperative work of harvesting .282 .002 .027 -.018 -.043 .721 .004 .069 -.045 -.109
L3.f. Participated last 12 months in cooperative work of other agriculture work .201 -.106 .053 -.015 .012 .584 -.307 .156 -.045 .034
L6 Participation in other exchange work than agriculture .247 -.047 .157 .090 .135 .493 -.093 .314 .181 .269
L7 Participated in public works without payment during the last year -.164 .251 -.059 .013 .090 -.417 .639 -.150 .034 .230
L8.a. Participated in school project over the last 12 months -.034 .378 .086 .005 -.023 -.067 .754 .171 .010 -.047
L8.b. Participated in road project over the last 12 months -.076 .257 -.022 .052 .331 -.152 .517 -.044 .105 .667
L8.c. Participated in bridge project over the last 12 months .045 .208 -.051 .053 .077 .101 .470 -.115 .120 .174
L8.d. Participated in church project over the last 12 months .041 .304 -.040 .011 .010 .091 .682 -.089 .025 .023
L8.g. Participated in health centre project over the last 12 months .012 .145 -.028 .067 .031 .035 .417 -.082 .193 .089
L8.h. Participated in irrigation project over the last 12 months .014 .140 .074 -.031 -.005 .042 .434 .230 -.097 -.017
L8.i. Participated in borehole project over the last 12 months .006 .267 -.079 -.033 .028 .014 .597 -.177 -.073 .062
L8.k. Participated in graveyard clearing project over the last 12 months -.124 .127 -.032 -.007 .384 -.249 .255 -.063 -.014 .773
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 6 columns and 8 rows
Component 1 2 3 4 5
1 .533 -.355 .676 .357 -.071
2 -.086 .715 .212 .521 .406
3 .763 .488 -.235 -.257 -.244
4 -.114 .204 .604 -.726 .233
5 .338 -.289 -.279 -.094 .846
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: 0.2310
Component 2: -0.0703
Component 3: 0.8138 Component 1: 0.1240
Component 2: -0.1842
Component 3: 0.8332 Component 1: 0.0695
Component 2: -0.2025
Component 3: 0.8100 Component 1: 0.8896
Component 2: -0.0007
Component 3: 0.1263 Component 1: 0.2057
Component 2: 0.1053
Component 3: 0.4834 Component 1: 0.4932
Component 2: -0.0929
Component 3: 0.3135 Component 1: 0.1058
Component 2: 0.1049
Component 3: 0.4961 Component 1: 0.7214
Component 2: 0.0040
Component 3: 0.0694 Component 1: 0.5752
Component 2: 0.1071
Component 3: 0.1426 Component 1: 0.6544
Component 2: -0.0083
Component 3: 0.0876 Component 1: 0.5841
Component 2: -0.3072
Component 3: 0.1555 Component 1: 0.4250
Component 2: 0.1673
Component 3: 0.0318 Component 1: 0.0423
Component 2: 0.4337
Component 3: 0.2303 Component 1: 0.1590
Component 2: -0.2702
Component 3: 0.2741 Component 1: 0.1152
Component 2: 0.0305
Component 3: 0.2344 Component 1: -0.0671
Component 2: 0.7545
Component 3: 0.1708 Component 1: 0.1645
Component 2: -0.2157
Component 3: 0.1670 Component 1: 0.0908
Component 2: 0.6816
Component 3: -0.0887 Component 1: -0.0338
Component 2: 0.1784
Component 3: 0.0974 Component 1: -0.0812
Component 2: 0.2270
Component 3: 0.0804 Component 1: 0.1015
Component 2: 0.4699
Component 3: -0.1148 Component 1: 0.0354
Component 2: 0.4173
Component 3: -0.0816 Component 1: -0.1523
Component 2: 0.5170
Component 3: -0.0435 Component 1: 0.0137
Component 2: 0.5965
Component 3: -0.1772 Component 1: -0.2492
Component 2: 0.2545
Component 3: -0.0634 Component 1: -0.4174
Component 2: 0.6389
Component 3: -0.1503