IBM SPSS Web Report - 15 varaibles 5 factors.spv   


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Log
Log - Log - March 12, 2020

FACTOR
  /VARIABLES L1g L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8d L8g L8i L8k
  /MISSING LISTWISE
  /ANALYSIS L1g L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8d L8g L8i L8k
  /PRINT UNIVARIATE INITIAL EXTRACTION ROTATION FSCORE
  /PLOT EIGEN
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - March 12, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 17 rows
  Mean Std. Deviation Analysis N
L1g Member of religious groups .50 .501 260
L2 Participated in cooperative agricultural work .40 .490 260
L3.a. Participated last 12 months in cooperative work of preparing a garden .20 .398 260
L3.b. Participated last12 months in cooperative work of planting .06 .234 260
L3.d. Participated last 12 months in cooperative work of weeding .15 .361 260
L3.e. Participated last 12 months in cooperative work of harvesting .20 .398 260
L3.f. Participated last 12 months in cooperative work of other agriculture work .14 .346 260
L6 Participation in other exchange work than agriculture .52 .501 260
L7 Participated in public works without payment during the last year .81 .392 260
L8.a. Participated in school project over the last 12 months .51 .501 260
L8.b. Participated in road project over the last 12 months .57 .497 260
L8.d. Participated in church project over the last 12 months .27 .444 260
L8.g. Participated in health centre project over the last 12 months .13 .338 260
L8.i. Participated in borehole project over the last 12 months .27 .444 260
L8.k. Participated in graveyard clearing project over the last 12 months .44 .497 260
Factor Analysis
Factor Analysis - Communalities - March 12, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 19 rows
  Raw Rescaled
Initial Extraction Initial Extraction
L1g Member of religious groups .251 .197 1.000 .786
L2 Participated in cooperative agricultural work .240 .209 1.000 .869
L3.a. Participated last 12 months in cooperative work of preparing a garden .158 .098 1.000 .620
L3.b. Participated last12 months in cooperative work of planting .055 .012 1.000 .220
L3.d. Participated last 12 months in cooperative work of weeding .131 .064 1.000 .489
L3.e. Participated last 12 months in cooperative work of harvesting .158 .092 1.000 .581
L3.f. Participated last 12 months in cooperative work of other agriculture work .120 .057 1.000 .474
L6 Participation in other exchange work than agriculture .251 .243 1.000 .967
L7 Participated in public works without payment during the last year .154 .111 1.000 .724
L8.a. Participated in school project over the last 12 months .251 .153 1.000 .611
L8.b. Participated in road project over the last 12 months .247 .188 1.000 .763
L8.d. Participated in church project over the last 12 months .198 .123 1.000 .623
L8.g. Participated in health centre project over the last 12 months .114 .030 1.000 .261
L8.i. Participated in borehole project over the last 12 months .198 .143 1.000 .726
L8.k. Participated in graveyard clearing project over the last 12 months .247 .189 1.000 .764
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - March 12, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 35 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 .704 25.393 25.393 .704 25.393 25.393 .470 16.978 16.978
2 .473 17.054 42.446 .473 17.054 42.446 .489 17.652 34.631
3 .318 11.462 53.909 .318 11.462 53.909 .381 13.754 48.385
4 .228 8.229 62.138 .228 8.229 62.138 .294 10.610 58.995
5 .187 6.759 68.897 .187 6.759 68.897 .274 9.901 68.897
6 .179 6.466 75.362            
7 .129 4.655 80.018            
8 .108 3.909 83.927            
9 .091 3.287 87.214            
10 .082 2.969 90.183            
11 .076 2.759 92.942            
12 .071 2.569 95.511            
13 .052 1.874 97.386            
14 .043 1.551 98.937            
15 .029 1.063 100.000            
Rescaled 1 .704 25.393 25.393 3.637 24.248 24.248 2.717 18.116 18.116
2 .473 17.054 42.446 2.434 16.229 40.477 2.282 15.213 33.329
3 .318 11.462 53.909 1.359 9.057 49.534 2.001 13.342 46.671
4 .228 8.229 62.138 1.151 7.672 57.206 1.283 8.553 55.224
5 .187 6.759 68.897 .898 5.987 63.193 1.195 7.969 63.193
6 .179 6.466 75.362            
7 .129 4.655 80.018            
8 .108 3.909 83.927            
9 .091 3.287 87.214            
10 .082 2.969 90.183            
11 .076 2.759 92.942            
12 .071 2.569 95.511            
13 .052 1.874 97.386            
14 .043 1.551 98.937            
15 .029 1.063 100.000            
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 - March 12, 2020
Scree Plot Component Number: 15
Eigenvalue: 0.0295 Component Number: 14
Eigenvalue: 0.0430 Component Number: 13
Eigenvalue: 0.0519 Component Number: 12
Eigenvalue: 0.0712 Component Number: 11
Eigenvalue: 0.0764 Component Number: 10
Eigenvalue: 0.0823 Component Number: 9
Eigenvalue: 0.0911 Component Number: 8
Eigenvalue: 0.1083 Component Number: 7
Eigenvalue: 0.1290 Component Number: 6
Eigenvalue: 0.1791 Component Number: 5
Eigenvalue: 0.1873 Component Number: 4
Eigenvalue: 0.2280 Component Number: 3
Eigenvalue: 0.3176 Component Number: 2
Eigenvalue: 0.4725 Component Number: 1
Eigenvalue: 0.7036 Component Number: 14
Eigenvalue: 0.0430 Component Number: 13
Eigenvalue: 0.0519 Component Number: 12
Eigenvalue: 0.0712 Component Number: 11
Eigenvalue: 0.0764 Component Number: 10
Eigenvalue: 0.0823 Component Number: 9
Eigenvalue: 0.0911 Component Number: 8
Eigenvalue: 0.1083 Component Number: 7
Eigenvalue: 0.1290 Component Number: 6
Eigenvalue: 0.1791 Component Number: 5
Eigenvalue: 0.1873 Component Number: 4
Eigenvalue: 0.2280 Component Number: 3
Eigenvalue: 0.3176 Component Number: 2
Eigenvalue: 0.4725 Component Number: 1
Eigenvalue: 0.7036 0.0 0.2 0.4 0.6 0.8 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

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Factor Analysis
Factor Analysis - Component Matrix - March 12, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 11 columns and 21 rows
  Raw Rescaled
Component Component
1 2 3 4 5 1 2 3 4 5
L1g Member of religious groups -.021 .148 .360 .198 .078 -.042 .295 .719 .395 .156
L2 Participated in cooperative agricultural work -.317 .306 -.069 -.040 .090 -.646 .625 -.140 -.082 .183
L3.a. Participated last 12 months in cooperative work of preparing a garden -.196 .161 -.047 -.069 .163 -.493 .405 -.119 -.174 .410
L3.b. Participated last12 months in cooperative work of planting -.041 .092 -.015 .026 .031 -.176 .394 -.062 .111 .134
L3.d. Participated last 12 months in cooperative work of weeding -.139 .162 -.068 -.096 .068 -.383 .449 -.189 -.264 .187
L3.e. Participated last 12 months in cooperative work of harvesting -.204 .186 -.022 .096 .079 -.512 .467 -.055 .241 .198
L3.f. Participated last 12 months in cooperative work of other agriculture work -.199 .086 .055 .060 -.056 -.575 .249 .159 .174 -.161
L6 Participation in other exchange work than agriculture -.194 .230 .147 -.143 -.331 -.388 .460 .293 -.286 -.661
L7 Participated in public works without payment during the last year .301 .065 -.068 -.103 .029 .769 .167 -.174 -.263 .074
L8.a. Participated in school project over the last 12 months .218 .241 -.203 -.076 -.031 .435 .481 -.405 -.152 -.062
L8.b. Participated in road project over the last 12 months .329 .214 .102 -.141 .063 .662 .431 .205 -.284 .126
L8.d. Participated in church project over the last 12 months .177 .208 -.120 .178 -.048 .399 .467 -.270 .401 -.109
L8.g. Participated in health centre project over the last 12 months .093 .109 -.034 .068 -.060 .275 .322 -.102 .200 -.179
L8.i. Participated in borehole project over the last 12 months .200 .152 -.116 .247 -.078 .450 .342 -.261 .555 -.176
L8.k. Participated in graveyard clearing project over the last 12 months .314 .122 .256 -.076 .065 .631 .245 .515 -.153 .131
Extraction Method: Principal Component Analysis.
a. 5 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - March 12, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 11 columns and 21 rows
  Raw Rescaled
Component Component
1 2 3 4 5 1 2 3 4 5
L1g Member of religious groups .050 .049 .028 .436 .042 .100 .098 .057 .870 .084
L2 Participated in cooperative agricultural work .435 -.079 -.004 .009 .113 .888 -.161 -.008 .017 .231
L3.a. Participated last 12 months in cooperative work of preparing a garden .304 -.013 -.073 -.005 -.013 .765 -.032 -.182 -.012 -.032
L3.b. Participated last12 months in cooperative work of planting .099 -.004 .041 .024 .006 .422 -.017 .174 .104 .027
L3.d. Participated last 12 months in cooperative work of weeding .239 .013 -.028 -.058 .050 .661 .036 -.078 -.161 .137
L3.e. Participated last 12 months in cooperative work of harvesting .264 -.108 .050 .089 .022 .662 -.270 .126 .223 .054
L3.f. Participated last 12 months in cooperative work of other agriculture work .121 -.134 -.008 .091 .125 .350 -.388 -.024 .264 .362
L6 Participation in other exchange work than agriculture .097 -.012 -.010 .029 .482 .195 -.024 -.020 .058 .962
L7 Participated in public works without payment during the last year -.076 .274 .114 -.113 -.069 -.194 .698 .291 -.289 -.176
L8.a. Participated in school project over the last 12 months .086 .219 .249 -.189 .014 .171 .437 .498 -.377 .028
L8.b. Participated in road project over the last 12 months -.005 .419 .105 .034 .011 -.011 .844 .211 .067 .023
L8.d. Participated in church project over the last 12 months .031 .064 .343 .004 -.026 .070 .143 .771 .010 -.059
L8.g. Participated in health centre project over the last 12 months -.003 .046 .164 .005 .030 -.008 .136 .484 .016 .089
L8.i. Participated in borehole project over the last 12 months -.041 .017 .372 .027 -.048 -.091 .038 .837 .061 -.109
L8.k. Participated in graveyard clearing project over the last 12 months -.098 .381 .034 .180 .007 -.198 .767 .068 .363 .014
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - March 12, 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 -.529 .685 .418 -.067 -.266
2 .682 .372 .500 .152 .351
3 -.207 .259 -.367 .817 .296
4 -.112 -.520 .597 .516 -.307
5 .447 .233 -.289 .196 -.790
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Score Coefficient Matrix - March 12, 2020
Component Score Coefficient MatrixaComponent Score Coefficient Matrix, table, 2 levels of column headers and 1 levels of row headers, table with 6 columns and 20 rows
  Component
1 2 3 4 5
L1g Member of religious groups .042 .018 .063 .755 -.071
L2 Participated in cooperative agricultural work .470 .039 -.013 -.022 -.020
L3.a. Participated last 12 months in cooperative work of preparing a garden .332 .103 -.129 -.015 -.177
L3.b. Participated last12 months in cooperative work of planting .055 .000 .026 .020 -.022
L3.d. Participated last 12 months in cooperative work of weeding .214 .086 -.067 -.093 -.017
L3.e. Participated last 12 months in cooperative work of harvesting .229 -.076 .092 .128 -.106
L3.f. Participated last 12 months in cooperative work of other agriculture work .026 -.099 .053 .092 .119
L6 Participation in other exchange work than agriculture -.169 .013 .047 -.100 .987
L7 Participated in public works without payment during the last year .013 .220 .005 -.151 -.045
L8.a. Participated in school project over the last 12 months .140 .186 .234 -.336 .070
L8.b. Participated in road project over the last 12 months .106 .483 -.080 .023 .027
L8.d. Participated in church project over the last 12 months .018 -.102 .447 .042 -.027
L8.g. Participated in health centre project over the last 12 months -.023 -.028 .162 .009 .060
L8.i. Participated in borehole project over the last 12 months -.072 -.196 .524 .093 -.033
L8.k. Participated in graveyard clearing project over the last 12 months -.017 .430 -.139 .280 .019
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Coefficients are standardized.
Factor Analysis
Factor Analysis - Component Score Covariance Matrix - March 12, 2020
Component Score Covariance MatrixComponent Score Covariance 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 1.000 .000 .000 .000 .000
2 .000 1.000 .000 .000 .000
3 .000 .000 1.000 .000 .000
4 .000 .000 .000 1.000 .000
5 .000 .000 .000 .000 1.000
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.