Multiple Correspondence Analysis for the Social Sciences, Hardback Book


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 advanced undergraduate level and onwards. MCA represents and models data sets as clouds of points in a multidimensional Euclidean space.

The interpretation of the data is based on these clouds of points.

In seven chapters, this non-technical book 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.

Special attention will be given to the construction of social spaces, to the construction of typologies and to group internal oppositions. This is a book on data analysis for the social sciences rather than a book on statistics.

The main emphasis is on how to apply MCA to the analysis of practical research questions.

It does not require a solid understanding of statistics and/or mathematics, and provides the reader with the needed knowledge to do analyses on his/her own.


  • Format: Hardback
  • Pages: 118 pages, 44 Line drawings, black and white; 32 Tables, black and white; 44 Illustrations, black an
  • Publisher: Taylor & Francis Ltd
  • Publication Date:
  • Category: Sociology
  • ISBN: 9781138699687



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