It's not really possible to explain this in lay person's terms. The
difference between principal factor analysis and common factor analysis is
roughly that PCA uses raw scores, whereas factor analysis uses scores
predicted from the other variables and does not include the residuals.
That's as clos
This is discussed for correspondence analysis by Michael Greenacre (1984)
"Theory and applications of correspondence analysis" (something like that).
> From: "Hugo Hidalgo" <[EMAIL PROTECTED]>
> Organization: University of California, Los Angeles
> Newsgroups: sci.stat.edu
> Date: Sat, 14 Apr 200
What is the basis for deciding when to use principal components analysis and
when to use factor analysis. Could anyone describe a problem that
illustrates the difference?
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Is anyone familiar with the Brogden-Clemens coefficient for measuring index
reliability?
How is it calculated?
What is the original reference?
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