IBM SPSS Web Report - K1 variables x cases varimax rotated 1 factor.spv   


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Log
Log - Log - February 13, 2020

FACTOR
  /VARIABLES K1a K1b K1c K1d K1e
  /MISSING LISTWISE
  /ANALYSIS K1a K1b K1c K1d K1e
  /PRINT UNIVARIATE INITIAL EXTRACTION ROTATION
  /PLOT EIGEN ROTATION
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=COVARIANCE.

 - - - - - - - - - - - - - - - - - - - - - - - -   F A C T O R   A N A L Y S I S   - - - - - - - - - - - - - - - - - - - - - - - -

Factor Analysis
Factor Analysis - Active Dataset - February 13, 2020


[DataSet1] E:\Arkiv\1 MLTSC\04 MLTSC papers and report\Berge2009 Trust games\SPSS files\Data spss files\MLTSC Trust data K-M78vars+BIN.sav

Factor Analysis
Factor Analysis - Warnings - February 13, 2020
WarningsWarnings, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 2 rows
Only one component was extracted. Component plots cannot be produced.
Factor Analysis
Factor Analysis - Descriptive Statistics - February 13, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 7 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .44 .498 281
K1b Lending money to relatives .49 .501 281
K1c Lending money to people in your own village .39 .488 281
K1d Lending money to people outside the village .16 .371 281
K1e Lending money to people from the same mosque/ church .17 .377 281
Factor Analysis
Factor Analysis - Communalities - February 13, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 9 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .248 .172 1.000 .696
K1b Lending money to relatives .251 .189 1.000 .755
K1c Lending money to people in your own village .238 .171 1.000 .716
K1d Lending money to people outside the village .137 .045 1.000 .327
K1e Lending money to people from the same mosque/ church .142 .046 1.000 .325
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 13, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 8 columns and 15 rows
  Component Initial Eigenvaluesa Extraction Sums of Squared Loadings
  Total % of Variance Cumulative % Total % of Variance Cumulative %
Raw 1 .623 61.338 61.338 .623 61.338 61.338
2 .144 14.130 75.469      
3 .101 9.890 85.359      
4 .084 8.261 93.620      
5 .065 6.380 100.000      
Rescaled 1 .623 61.338 61.338 2.819 56.373 56.373
2 .144 14.130 75.469      
3 .101 9.890 85.359      
4 .084 8.261 93.620      
5 .065 6.380 100.000      
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 13, 2020
Scree Plot Component Number: 5
Eigenvalue: 0.0648 Component Number: 4
Eigenvalue: 0.0840 Component Number: 3
Eigenvalue: 0.1005 Component Number: 2
Eigenvalue: 0.1436 Component Number: 1
Eigenvalue: 0.6234 Component Number: 4
Eigenvalue: 0.0840 Component Number: 3
Eigenvalue: 0.1005 Component Number: 2
Eigenvalue: 0.1436 Component Number: 1
Eigenvalue: 0.6234 0.0 0.2 0.4 0.6 1 2 3 4 5

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Factor Analysis
Factor Analysis - Component Matrix - February 13, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 3 columns and 11 rows
  Raw Rescaled
Component Component
1 1
K1a Lending money to family members .415 .834
K1b Lending money to relatives .435 .869
K1c Lending money to people in your own village .413 .846
K1d Lending money to people outside the village .212 .572
K1e Lending money to people from the same mosque/ church .215 .570
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 13, 2020
Rotated Component MatrixaRotated Component Matrix, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 3 rows
 
a. Only one component was extracted. The solution cannot be rotated.