Parallel Analysis and Velicer’s MAP Test

Searching the web for some relevant references about Generalizability Theory, I discover Brian O’Connor’s website. He’s developing several SPSS, SAS and Matlab programs to do some psychometrical analysis. I was particularly interested in his notes on parallel analysis and the reasons why we have to perform factor analysis on dichotomously scored items or Lickert items very carefully. Here is the related reference:

O’Connor, B.P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behavior Research Methods, Instrumentation, and Computers, 32, 396-402.

There are several drawbacks with the usual R function that handles factor analysis, factanal, which I discuss in the following post: Exploratory Factor Analysis with principal factors.

This article is provided as is. It may contain unwanted error(s) that could be reported to the author, by email or by posting a comment below. Also, be aware that some of the articles I regularly publish often are written in an iteratively manner. This would explain that some pieces of text are still missing at the time of your reading.

About this entry

You’re currently reading “Parallel Analysis and Velicer’s MAP Test” an entry on memos

Published:
05.12.08 / 10
Category:
R code