Multiple Correspondence Analysis for the Social Sciences

Multiple correspondence analysis is a statistical technique that is strongly associated with the work of Pierre Bourdieu (1930-2002). In seven chapters, this volume will provide the reader with a comprehensive introduction and the needed knowledge to do analyses on his/her own: CA, MCA, Specific MCA, the integration of MCA and variance analysis, of MCA and ascending hierarchical cluster analysis and class specific MCA on subgroups. The book is written as a non-technical introduction, intended for the advanced undergraduate level and onwards.

Preface 1. Geometric Data Analysis 2. Correspondence Analysis 3. Multiple Correspondence Analysis 4. Passive and Supplementary Points, Supplementary Variables and Structured Data Analysis 5. MCA and Ascending Hierarchical Cluster Analysis 6. Constructing Spaces 7. Analyzing Sub-Groups. Class Specific MCA Appendix: Softwares For Doing MCA