IBM SPSS Web Report - 14varK1M1binary PC varimax rotated 4 factors.spv   


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Log
Log - Log - January 28, 2020

SAVE OUTFILE='I:\Berge2009 Trust games\SPSS files\MLTSC Trust data K-M55vars 20111031.sav'
 /COMPRESSED.
FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b L2 L3d L3e L3f L6 L7 M1trust
  /MISSING LISTWISE
  /ANALYSIS K1a K1b K1c K1d K1e K2a K2b L2 L3d L3e L3f L6 L7 M1trust
  /PRINT UNIVARIATE ROTATION
  /PLOT EIGEN
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Active Dataset - January 28, 2020


[DataSet1] I:\Berge2009 Trust games\SPSS files\MLTSC Trust data K-M55vars 20111031.sav

Factor Analysis

Legacy tables cannot be edited: Factor Analysis - Descriptive Statistics - January 28, 2020
Descriptive Statistics
  Mean Std. Deviation Analysis N
K1a Lending money to family members .45 .498 271
K1b Lending money to relatives .49 .501 271
K1c Lending money to people in your own village .40 .491 271
K1d Lending money to people outside the village .16 .366 271
K1e Lending money to people from the same mosque/ church .17 .376 271
K2a Lending tools like axes, hoes etc. to family members .70 .457 271
K2b Lending tools like axes, hoes etc. to relatives outside the household .74 .439 271
L2 Participated in cooperative agricultural work .40 .491 271
L3d Participated last 12 months in cooperative work of weeding .16 .369 271
L3e Participated last 12 months in cooperative work of harvesting .19 .392 271
L3f Participated last 12 months in cooperative work of other agriculture work .13 .336 271
L6 Participation in other exchange work than agriculture .53 .500 271
L7 Participated in public works without payment during the last year .82 .386 271
M1 Most people can be trusted (1) or you cannot be too careful (0) .46 .500 271

Factor Analysis
Factor Analysis - Scree Plot - January 28, 2020
Scree Plot Component Number: 14
Eigenvalue: 0.0425 Component Number: 13
Eigenvalue: 0.0460 Component Number: 12
Eigenvalue: 0.0555 Component Number: 11
Eigenvalue: 0.0662 Component Number: 10
Eigenvalue: 0.0850 Component Number: 9
Eigenvalue: 0.0949 Component Number: 8
Eigenvalue: 0.0984 Component Number: 7
Eigenvalue: 0.1294 Component Number: 6
Eigenvalue: 0.1617 Component Number: 5
Eigenvalue: 0.1844 Component Number: 4
Eigenvalue: 0.2346 Component Number: 3
Eigenvalue: 0.2466 Component Number: 2
Eigenvalue: 0.3519 Component Number: 1
Eigenvalue: 0.9113 Component Number: 13
Eigenvalue: 0.0460 Component Number: 12
Eigenvalue: 0.0555 Component Number: 11
Eigenvalue: 0.0662 Component Number: 10
Eigenvalue: 0.0850 Component Number: 9
Eigenvalue: 0.0949 Component Number: 8
Eigenvalue: 0.0984 Component Number: 7
Eigenvalue: 0.1294 Component Number: 6
Eigenvalue: 0.1617 Component Number: 5
Eigenvalue: 0.1844 Component Number: 4
Eigenvalue: 0.2346 Component Number: 3
Eigenvalue: 0.2466 Component Number: 2
Eigenvalue: 0.3519 Component Number: 1
Eigenvalue: 0.9113 0.0 0.2 0.4 0.6 0.8 1.0 1.0 0.8 0.6 0.4 0.2 0.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 14 13 12 11 10 9 8 7 6 5 4 3 2 1

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Factor Analysis

Legacy tables cannot be edited: Factor Analysis - Component Matrix - January 28, 2020
Component Matrixa
 
a. 4 components extracted.

Factor Analysis

Legacy tables cannot be edited: Factor Analysis - Rotated Component Matrix - January 28, 2020
Rotated Component Matrixa
  Raw Rescaled
Component Component
1 2 3 4 1 2 3 4
K1a Lending money to family members .370 .008 .224 -.012 .742 .016 .448 -.024
K1b Lending money to relatives .412 .067 .120 -.008 .822 .133 .240 -.016
K1c Lending money to people in your own village .406 .112 .053 .021 .828 .229 .109 .043
K1d Lending money to people outside the village .207 .083 .004 .028 .566 .227 .010 .076
K1e Lending money to people from the same mosque/ church .220 .035 .008 .064 .586 .093 .022 .171
K2a Lending tools like axes, hoes etc. to family members .074 .017 .390 .005 .162 .037 .853 .011
K2b Lending tools like axes, hoes etc. to relatives outside the household .050 .053 .338 -.012 .114 .120 .770 -.027
L2 Participated in cooperative agricultural work .073 .445 .028 .013 .149 .908 .057 .026
L3d Participated last 12 months in cooperative work of weeding .085 .212 .034 -.005 .229 .574 .092 -.013
L3e Participated last 12 months in cooperative work of harvesting .032 .303 -.020 .010 .081 .774 -.051 .026
L3f Participated last 12 months in cooperative work of other agriculture work .034 .191 .075 .074 .102 .568 .222 .221
L6 Participation in other exchange work than agriculture .106 .168 .242 .180 .212 .337 .483 .360
L7 Participated in public works without payment during the last year -.061 -.158 -.074 -.109 -.157 -.409 -.192 -.283
M1 Most people can be trusted (1) or you cannot be too careful (0) .045 .048 -.017 .475 .090 .096 -.035 .950
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.

Factor Analysis

Legacy tables cannot be edited: Factor Analysis - Total Variance Explained - January 28, 2020
Total Variance Explained
  Component Rotation Sums of Squared Loadings
  Total % of Variance Cumulative %
Raw 1 .602 22.231 22.231
2 .455 16.807 39.037
3 .406 14.977 54.014
4 .281 10.393 64.407
Rescaled 1 2.783 19.881 19.881
2 2.510 17.930 37.811
3 1.928 13.771 51.582
4 1.202 8.587 60.169
Extraction Method: Principal Component Analysis.

Factor Analysis

Legacy tables cannot be edited: Factor Analysis - Component Transformation Matrix - January 28, 2020
Component Transformation Matrix
Component 1 2 3 4
1 .717 .480 .469 .189
2 -.372 .741 -.361 .426
3 -.531 -.092 .767 .347
4 -.255 .460 .247 -.814
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.