Factor Analysis
Factor analysis refers to a family of
techniques that either identify optimal linear combinations of variables that
either (a) can stand in for the original variables, or (b) can explain the
patterns of relations among the original variables.
Topics
- Overview of factor analysis methodology
- Principal components
- Eigenvectors and eigenvalues
- Principal component analysis and common factor
analysis
- Loadings & scores
- Communalities
- Rotation
Readings
- Weller & Romney. Metric Scaling.
FYA
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Handouts
Data
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Bibliography
Classics
- Spearman, C. (1904).
"General
intelligence," objectively determined and measured. American
Journal of Psychology, 15, 201-293.
- Thurstone, L. L. (1935). Vectors of the mind.
Chicago: University of Chicago Press.
- Thurstone, L. L. (1947). Multiple factor
analysis. Chicago: University of Chicago Press.
- Eckart, C. & Young, G. (1936). Approximation of
one matrix by another of lower rank. Psychometrika, 1, 211-218.
- Hotelling, H. (1933). Analysis of a complex of
statistical variables into principal components. Journal of
Educational Psychology, 24, 417-441, 498-520.
Other bibliographies
- Friendly. Annotated Factor Analysis Bibliography.
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