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Multiple Correspondence Analysis
- Brigitte Le Roux - Université Paris Descartes, France
- Henry Rouanet - Université Paris Descartes, France
Volume:
163
January 2010 | 128 pages | SAGE Publications, Inc
This book provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right; no prior knowledge of Correspondence Analysis (CA) is needed. The presentation is practically oriented and with the needs of research in mind: gathering relevant data, formulating questions of interest, and linking statistical interpretation to geometric representations. The procedures are presented in detail using a real example, stressing the unique capacity of MCA to handle full scale research studies.
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
