Multiple Correspondence Analysis and Related Methods

Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

by Michael J. Greenacre (Editor)

As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical research. Until now, however, the literature on the su

608 pages, Kindle Edition

First published June 23, 2006

Reviews

[Thomas · Rating 3 out of 5]

A number of good chapters, mostly the introductory ones. I'm not sure the more applied ones have stood the test of time. Still, great to revisit the basics of MCA.