Multiple Correspondence Analysis

by Brigitte Le Roux

Requiring no prior knowledge of correspondence analysis, this text provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right. The authors, Brigitte LeRoux and Henry Rouanet, present thematerial in a practical manner, keeping the needs of researchers foremost in mind. Key Features This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as for individual researchers.Learn more about "The Little Green Book" - QASS Series!

Genres: Mathematics

128 pages, Kindle Edition

First published December 16, 2009

Reviews

[Santiago Ortiz · Rating 5 out of 5]

This beautiful book also serves the purpose of being a great introduction to cultural analytics through a specific methodology. MCA is versatile, rich in variations and alternative or complementary paths. It basically requires a table of categories (that could be built out of variables that are not categorical, the book explains how). MCA is also quite easy to understand: how it's built and why it makes sense. Yes, the book contains some detailed mathematical definitions and demonstrations, specially regarding the variance and how the method is super-elegant and preserves many of the statistical properties one would wish. I believe mathematical equations can be overlooked without any harm of comprehension (I did it in part, and plan to re-read the book to touch those details when using the method in actual projects).

Finally, this is also a book about sociology and specially about part of Pierre Bourdieu's work. Along the book a table based on an actual survey about taste (essential concept in Bordieu's studies) is being used as the example of the different analyses and visualizations.