1st Edition

Multiple Correspondence Analysis for the Social Sciences

By Johs. Hjellbrekke Copyright 2019
136 Pages 44 B/W Illustrations
by Routledge

136 Pages 44 B/W Illustrations
by Routledge

136 Pages 44 B/W Illustrations
by Routledge

Multiple correspondence analysis (MCA) is a statistical technique that first and foremost has become known through the work of the late Pierre Bourdieu (1930–2002). This book will introduce readers to the fundamental properties, procedures and rules of interpretation of the most commonly used forms of correspondence analysis. The book is written as a non-technical introduction, intended for the... Read more

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

Biography

Johs. Hjellbrekke is Professor of Sociology at the University of Bergen, Norway, and Director of the Norwegian University Centre in Paris, FMSH. His research interests are in social stratification, class analysis, social mobility, the sociology of elites, geometric data analysis and statistical analysis of categorical data. Since 1995, he has taught courses in multiple correspondence analysis at more than 15 different universities.