IBM SPSS Web Report - 16 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 L8c L8d L8g L8i L8k
  /MISSING LISTWISE
  /ANALYSIS L1g L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c 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 18 rows
  Mean Std. Deviation Analysis N
L1g Member of religious groups .51 .501 259
L2 Participated in cooperative agricultural work .39 .490 259
L3.a. Participated last 12 months in cooperative work of preparing a garden .19 .395 259
L3.b. Participated last12 months in cooperative work of planting .06 .234 259
L3.d. Participated last 12 months in cooperative work of weeding .15 .362 259
L3.e. Participated last 12 months in cooperative work of harvesting .20 .398 259
L3.f. Participated last 12 months in cooperative work of other agriculture work .14 .347 259
L6 Participation in other exchange work than agriculture .52 .501 259
L7 Participated in public works without payment during the last year .81 .392 259
L8.a. Participated in school project over the last 12 months .51 .501 259
L8.b. Participated in road project over the last 12 months .57 .496 259
L8.c. Participated in bridge project over the last 12 months .27 .443 259
L8.d. Participated in church project over the last 12 months .27 .445 259
L8.g. Participated in health centre project over the last 12 months .13 .338 259
L8.i. Participated in borehole project over the last 12 months .27 .445 259
L8.k. Participated in graveyard clearing project over the last 12 months .44 .497 259
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 20 rows
  Raw Rescaled
Initial Extraction Initial Extraction
L1g Member of religious groups .251 .194 1.000 .775
L2 Participated in cooperative agricultural work .240 .206 1.000 .859
L3.a. Participated last 12 months in cooperative work of preparing a garden .156 .091 1.000 .582
L3.b. Participated last12 months in cooperative work of planting .055 .012 1.000 .228
L3.d. Participated last 12 months in cooperative work of weeding .131 .067 1.000 .510
L3.e. Participated last 12 months in cooperative work of harvesting .159 .094 1.000 .593
L3.f. Participated last 12 months in cooperative work of other agriculture work .120 .056 1.000 .464
L6 Participation in other exchange work than agriculture .251 .235 1.000 .936
L7 Participated in public works without payment during the last year .154 .108 1.000 .700
L8.a. Participated in school project over the last 12 months .251 .149 1.000 .594
L8.b. Participated in road project over the last 12 months .246 .191 1.000 .776
L8.c. Participated in bridge project over the last 12 months .196 .073 1.000 .374
L8.d. Participated in church project over the last 12 months .198 .121 1.000 .611
L8.g. Participated in health centre project over the last 12 months .114 .029 1.000 .249
L8.i. Participated in borehole project over the last 12 months .198 .139 1.000 .701
L8.k. Participated in graveyard clearing project over the last 12 months .247 .192 1.000 .778
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 37 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 .723 24.348 24.348 .723 24.348 24.348 .482 16.249 16.249
2 .492 16.588 40.936 .492 16.588 40.936 .489 16.470 32.719
3 .325 10.937 51.873 .325 10.937 51.873 .414 13.952 46.672
4 .231 7.779 59.651 .231 7.779 59.651 .305 10.283 56.954
5 .187 6.299 65.950 .187 6.299 65.950 .267 8.996 65.950
6 .182 6.148 72.098            
7 .156 5.245 77.343            
8 .125 4.227 81.570            
9 .108 3.647 85.216            
10 .090 3.022 88.238            
11 .080 2.703 90.941            
12 .074 2.505 93.446            
13 .070 2.365 95.810            
14 .052 1.747 97.558            
15 .043 1.451 99.008            
16 .029 .992 100.000            
Rescaled 1 .723 24.348 24.348 3.712 23.202 23.202 2.829 17.684 17.684
2 .492 16.588 40.936 2.589 16.183 39.385 2.257 14.104 31.788
3 .325 10.937 51.873 1.378 8.610 47.996 2.139 13.371 45.159
4 .231 7.779 59.651 1.164 7.276 55.272 1.373 8.584 53.742
5 .187 6.299 65.950 .886 5.538 60.810 1.131 7.068 60.810
6 .182 6.148 72.098            
7 .156 5.245 77.343            
8 .125 4.227 81.570            
9 .108 3.647 85.216            
10 .090 3.022 88.238            
11 .080 2.703 90.941            
12 .074 2.505 93.446            
13 .070 2.365 95.810            
14 .052 1.747 97.558            
15 .043 1.451 99.008            
16 .029 .992 100.000            
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: 16
Eigenvalue: 0.0294 Component Number: 15
Eigenvalue: 0.0430 Component Number: 14
Eigenvalue: 0.0519 Component Number: 13
Eigenvalue: 0.0702 Component Number: 12
Eigenvalue: 0.0743 Component Number: 11
Eigenvalue: 0.0802 Component Number: 10
Eigenvalue: 0.0897 Component Number: 9
Eigenvalue: 0.1082 Component Number: 8
Eigenvalue: 0.1254 Component Number: 7
Eigenvalue: 0.1557 Component Number: 6
Eigenvalue: 0.1825 Component Number: 5
Eigenvalue: 0.1869 Component Number: 4
Eigenvalue: 0.2309 Component Number: 3
Eigenvalue: 0.3246 Component Number: 2
Eigenvalue: 0.4923 Component Number: 1
Eigenvalue: 0.7226 Component Number: 15
Eigenvalue: 0.0430 Component Number: 14
Eigenvalue: 0.0519 Component Number: 13
Eigenvalue: 0.0702 Component Number: 12
Eigenvalue: 0.0743 Component Number: 11
Eigenvalue: 0.0802 Component Number: 10
Eigenvalue: 0.0897 Component Number: 9
Eigenvalue: 0.1082 Component Number: 8
Eigenvalue: 0.1254 Component Number: 7
Eigenvalue: 0.1557 Component Number: 6
Eigenvalue: 0.1825 Component Number: 5
Eigenvalue: 0.1869 Component Number: 4
Eigenvalue: 0.2309 Component Number: 3
Eigenvalue: 0.3246 Component Number: 2
Eigenvalue: 0.4923 Component Number: 1
Eigenvalue: 0.7226 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 16

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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 22 rows
  Raw Rescaled
Component Component
1 2 3 4 5 1 2 3 4 5
L1g Member of religious groups -.026 .116 .378 .192 .021 -.053 .232 .755 .383 .042
L2 Participated in cooperative agricultural work -.292 .332 -.045 -.026 .088 -.596 .678 -.092 -.054 .180
L3.a. Participated last 12 months in cooperative work of preparing a garden -.181 .179 -.032 -.058 .148 -.457 .452 -.080 -.146 .375
L3.b. Participated last12 months in cooperative work of planting -.035 .094 -.007 .028 .039 -.149 .402 -.029 .121 .167
L3.d. Participated last 12 months in cooperative work of weeding -.122 .182 -.067 -.094 .075 -.336 .502 -.185 -.259 .208
L3.e. Participated last 12 months in cooperative work of harvesting -.188 .205 -.018 .091 .091 -.472 .514 -.044 .229 .229
L3.f. Participated last 12 months in cooperative work of other agriculture work -.198 .092 .059 .058 -.036 -.570 .266 .170 .168 -.104
L6 Participation in other exchange work than agriculture -.181 .237 .146 -.153 -.318 -.362 .473 .291 -.305 -.634
L7 Participated in public works without payment during the last year .309 .047 -.050 -.088 .010 .787 .121 -.126 -.225 .024
L8.a. Participated in school project over the last 12 months .238 .229 -.154 -.031 -.124 .475 .457 -.308 -.063 -.248
L8.b. Participated in road project over the last 12 months .340 .182 .123 -.139 .088 .685 .367 .248 -.279 .177
L8.c. Participated in bridge project over the last 12 months .155 .160 -.124 -.079 .045 .351 .361 -.279 -.179 .100
L8.d. Participated in church project over the last 12 months .194 .200 -.096 .183 -.026 .437 .449 -.216 .411 -.059
L8.g. Participated in health centre project over the last 12 months .101 .102 -.021 .071 -.049 .298 .302 -.063 .209 -.146
L8.i. Participated in borehole project over the last 12 months .209 .136 -.087 .258 -.054 .469 .305 -.194 .579 -.122
L8.k. Participated in graveyard clearing project over the last 12 months .312 .077 .274 -.079 .087 .627 .155 .551 -.160 .175
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 22 rows
  Raw Rescaled
Component Component
1 2 3 4 5 1 2 3 4 5
L1g Member of religious groups .048 .066 .040 .428 .055 .096 .133 .079 .854 .110
L2 Participated in cooperative agricultural work .433 -.073 -.002 .009 .113 .885 -.150 -.005 .019 .231
L3.a. Participated last 12 months in cooperative work of preparing a garden .295 -.007 -.064 -.013 .001 .745 -.018 -.162 -.033 .002
L3.b. Participated last12 months in cooperative work of planting .103 .001 .038 .021 -.001 .439 .003 .163 .091 -.004
L3.d. Participated last 12 months in cooperative work of weeding .240 .017 -.025 -.075 .051 .664 .047 -.069 -.206 .142
L3.e. Participated last 12 months in cooperative work of harvesting .281 -.088 .046 .074 .005 .705 -.220 .115 .186 .013
L3.f. Participated last 12 months in cooperative work of other agriculture work .138 -.123 -.022 .107 .098 .398 -.356 -.065 .308 .282
L6 Participation in other exchange work than agriculture .106 -.019 -.018 .053 .469 .212 -.038 -.036 .106 .936
L7 Participated in public works without payment during the last year -.104 .251 .132 -.124 -.036 -.265 .640 .336 -.316 -.091
L8.a. Participated in school project over the last 12 months .012 .154 .290 -.174 .105 .023 .307 .578 -.348 .209
L8.b. Participated in road project over the last 12 months -.006 .423 .110 .003 .007 -.012 .852 .221 .007 .014
L8.c. Participated in bridge project over the last 12 months .079 .162 .132 -.154 -.011 .178 .365 .297 -.347 -.024
L8.d. Participated in church project over the last 12 months .038 .062 .338 -.002 -.039 .086 .140 .759 -.004 -.087
L8.g. Participated in health centre project over the last 12 months .000 .043 .161 .007 .023 .000 .128 .477 .022 .069
L8.i. Participated in borehole project over the last 12 months -.033 .012 .362 .038 -.068 -.075 .026 .815 .085 -.154
L8.k. Participated in graveyard clearing project over the last 12 months -.091 .397 .034 .159 -.009 -.182 .798 .069 .320 -.019
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 -.498 .677 .481 -.128 -.213
2 .724 .306 .495 .050 .367
3 -.128 .357 -.302 .839 .249
4 -.054 -.482 .597 .521 -.369
5 .457 .298 -.274 .078 -.788
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 21 rows
  Component
1 2 3 4 5
L1g Member of religious groups .023 .048 .107 .719 -.005
L2 Participated in cooperative agricultural work .455 .038 -.008 -.026 -.015
L3.a. Participated last 12 months in cooperative work of preparing a garden .307 .104 -.110 -.040 -.147
L3.b. Participated last12 months in cooperative work of planting .059 .005 .022 .018 -.032
L3.d. Participated last 12 months in cooperative work of weeding .211 .087 -.068 -.114 -.017
L3.e. Participated last 12 months in cooperative work of harvesting .255 -.045 .080 .100 -.134
L3.f. Participated last 12 months in cooperative work of other agriculture work .051 -.084 .038 .108 .080
L6 Participation in other exchange work than agriculture -.163 -.025 .026 -.022 .964
L7 Participated in public works without payment during the last year -.031 .182 .023 -.146 .003
L8.a. Participated in school project over the last 12 months -.032 .032 .317 -.270 .279
L8.b. Participated in road project over the last 12 months .115 .495 -.096 .000 -.010
L8.c. Participated in bridge project over the last 12 months .135 .153 .048 -.218 -.036
L8.d. Participated in church project over the last 12 months .040 -.099 .415 .062 -.073
L8.g. Participated in health centre project over the last 12 months -.016 -.031 .151 .026 .042
L8.i. Participated in borehole project over the last 12 months -.046 -.195 .490 .139 -.093
L8.k. Participated in graveyard clearing project over the last 12 months .011 .471 -.151 .258 -.033
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.