Henry Rouanet et Brigitte Le Roux, Multiple Correspondence Analysis

Brigitte Le Roux
Henry Rouanet
Multiple Correspondence Analysis
Series: Quantitative Applications in the Social Sciences
Volume 163
SAGE Publications
2010







Présentation de l'éditeur

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

* Readers learn how to construct geometric spaces from relevant data, formulate questions of interest, and link statistical interpretation to geometric representations.

* They also learn how to perform structured data analysis and to draw inferential conclusions from MCA.

* The text uses real examples to help explain concepts.

* The authors stress the distinctive capacity of MCA to handle full-scale research studies.

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.

Sommaire
About the Authors
Series Editor's Introduction
Acknowledgments
1. Introduction
2. The Geometry of a Cloud of Points
3. The Method of Multiple Correspondence Analysis
4. Structured Data Analysis
5. Inductive Data Analysis
6. Full-Scale Research Studies
Appendix
References
Index


Brigitte Le Roux Université Paris Descartes
Henry Rouanet (1932-2008) Université Paris Descartes
http://www.sagepub.com/