IBM SPSS Web Report - 15 variables 3 factors 260 cases.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 FACTORS(3) 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 .152 1.000 .606
L2 Participated in cooperative agricultural work .240 .199 1.000 .829
L3.a. Participated last 12 months in cooperative work of preparing a garden .158 .067 1.000 .422
L3.b. Participated last12 months in cooperative work of planting .055 .010 1.000 .190
L3.d. Participated last 12 months in cooperative work of weeding .131 .050 1.000 .384
L3.e. Participated last 12 months in cooperative work of harvesting .158 .077 1.000 .484
L3.f. Participated last 12 months in cooperative work of other agriculture work .120 .050 1.000 .418
L6 Participation in other exchange work than agriculture .251 .112 1.000 .448
L7 Participated in public works without payment during the last year .154 .100 1.000 .650
L8.a. Participated in school project over the last 12 months .251 .146 1.000 .584
L8.b. Participated in road project over the last 12 months .247 .164 1.000 .666
L8.d. Participated in church project over the last 12 months .198 .089 1.000 .450
L8.g. Participated in health centre project over the last 12 months .114 .022 1.000 .189
L8.i. Participated in borehole project over the last 12 months .198 .076 1.000 .387
L8.k. Participated in graveyard clearing project over the last 12 months .247 .179 1.000 .723
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 .581 20.960 20.960
2 .473 17.054 42.446 .473 17.054 42.446 .559 20.159 41.119
3 .318 11.462 53.909 .318 11.462 53.909 .354 12.789 53.909
4 .228 8.229 62.138            
5 .187 6.759 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 3.216 21.441 21.441
2 .473 17.054 42.446 2.434 16.229 40.477 2.771 18.471 39.912
3 .318 11.462 53.909 1.359 9.057 49.534 1.443 9.621 49.534
4 .228 8.229 62.138            
5 .187 6.759 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            
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 7 columns and 21 rows
  Raw Rescaled
Component Component
1 2 3 1 2 3
L1g Member of religious groups -.021 .148 .360 -.042 .295 .719
L2 Participated in cooperative agricultural work -.317 .306 -.069 -.646 .625 -.140
L3.a. Participated last 12 months in cooperative work of preparing a garden -.196 .161 -.047 -.493 .405 -.119
L3.b. Participated last12 months in cooperative work of planting -.041 .092 -.015 -.176 .394 -.062
L3.d. Participated last 12 months in cooperative work of weeding -.139 .162 -.068 -.383 .449 -.189
L3.e. Participated last 12 months in cooperative work of harvesting -.204 .186 -.022 -.512 .467 -.055
L3.f. Participated last 12 months in cooperative work of other agriculture work -.199 .086 .055 -.575 .249 .159
L6 Participation in other exchange work than agriculture -.194 .230 .147 -.388 .460 .293
L7 Participated in public works without payment during the last year .301 .065 -.068 .769 .167 -.174
L8.a. Participated in school project over the last 12 months .218 .241 -.203 .435 .481 -.405
L8.b. Participated in road project over the last 12 months .329 .214 .102 .662 .431 .205
L8.d. Participated in church project over the last 12 months .177 .208 -.120 .399 .467 -.270
L8.g. Participated in health centre project over the last 12 months .093 .109 -.034 .275 .322 -.102
L8.i. Participated in borehole project over the last 12 months .200 .152 -.116 .450 .342 -.261
L8.k. Participated in graveyard clearing project over the last 12 months .314 .122 .256 .631 .245 .515
Extraction Method: Principal Component Analysis.
a. 3 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 7 columns and 21 rows
  Raw Rescaled
Component Component
1 2 3 1 2 3
L1g Member of religious groups .086 -.066 .375 .173 -.131 .748
L2 Participated in cooperative agricultural work .445 -.005 -.031 .908 -.010 -.063
L3.a. Participated last 12 months in cooperative work of preparing a garden .256 -.019 -.033 .642 -.047 -.084
L3.b. Participated last12 months in cooperative work of planting .096 .033 .008 .410 .143 .036
L3.d. Participated last 12 months in cooperative work of weeding .218 .030 -.039 .604 .083 -.109
L3.e. Participated last 12 months in cooperative work of harvesting .276 -.019 -.003 .694 -.047 -.008
L3.f. Participated last 12 months in cooperative work of other agriculture work .194 -.106 .035 .560 -.307 .100
L6 Participation in other exchange work than agriculture .286 -.051 .168 .570 -.102 .336
L7 Participated in public works without payment during the last year -.154 .274 .027 -.393 .700 .069
L8.a. Participated in school project over the last 12 months .042 .376 -.056 .085 .751 -.112
L8.b. Participated in road project over the last 12 months -.082 .317 .239 -.166 .638 .481
L8.d. Participated in church project over the last 12 months .039 .296 -.001 .087 .666 -.001
L8.g. Participated in health centre project over the last 12 months .017 .144 .026 .051 .425 .076
L8.i. Participated in borehole project over the last 12 months -.017 .276 -.011 -.039 .620 -.024
L8.k. Participated in graveyard clearing project over the last 12 months -.153 .190 .345 -.307 .382 .695
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 5 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 4 columns and 6 rows
Component 1 2 3
1 -.689 .690 .224
2 .719 .609 .335
3 -.095 -.392 .915
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 4 columns and 20 rows
  Component
1 2 3
L1g Member of religious groups .069 -.138 .569
L2 Participated in cooperative agricultural work .390 .083 -.040
L3.a. Participated last 12 months in cooperative work of preparing a garden .180 .029 -.034
L3.b. Participated last12 months in cooperative work of planting .043 .023 .002
L3.d. Participated last 12 months in cooperative work of weeding .146 .057 -.046
L3.e. Participated last 12 months in cooperative work of harvesting .194 .027 .002
L3.f. Participated last 12 months in cooperative work of other agriculture work .107 -.052 .054
L6 Participation in other exchange work than agriculture .249 -.037 .263
L7 Participated in public works without payment during the last year -.069 .182 -.021
L8.a. Participated in school project over the last 12 months .107 .388 -.172
L8.b. Participated in road project over the last 12 months -.013 .235 .273
L8.d. Participated in church project over the last 12 months .079 .262 -.063
L8.g. Participated in health centre project over the last 12 months .029 .092 .003
L8.i. Participated in borehole project over the last 12 months .031 .238 -.072
L8.k. Participated in graveyard clearing project over the last 12 months -.099 .074 .459
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 4 columns and 6 rows
Component 1 2 3
1 1.000 .000 .000
2 .000 1.000 .000
3 .000 .000 1.000
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.