Customer Reviews

Applied Correspondence Analysis: An Introduction (Quantitative Applications in the Social Sciences)

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I am a big fan of this little "green book" statistical series. Thanks to it, I already taught myself Logit Regression, Cluster Analysis, Discriminant Analysis, and Factor Analysis. Most of these were excellent, and so is "Correspondence Analysis."

The author does an excellent job of developing a strong foundation in Correspondence Analysis in the first 25 pages of the book (out of 50 pages). Afterwards, he builds on this foundation by adding an introduction to Multiple Correspondence Analysis, and a comparison between Loglinear Models and Correspondence Analysis. These sections serve the purpose of what are the next steps you can explore after developing a solid base in Correspondence Analysis.

This green book series has allowed me to hang in there and keep up within an intense quantitative group of a major financial institution on the West Coast. Without them, I would have been left behind. For the record, I am an MBA type and not a quant type. So, if I can understand these books, so can you. I strongly recommend this one book in particular if you need to grasp this subject quickly.