Multiple Correspondence Analysis for the Social Sciences
Routledge
ISBN13:
9781138699717
$58.55
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.
- | Author: Johs Hjellbrekke
- | Publisher: Routledge
- | Publication Date: Jun 27, 2018
- | Number of Pages: 118 pages
- | Language: English
- | Binding: Paperback
- | ISBN-10: 1138699713
- | ISBN-13: 9781138699717
- Author:
- Johs Hjellbrekke
- Publisher:
- Routledge
- Publication Date:
- Jun 27, 2018
- Number of pages:
- 118 pages
- Language:
- English
- Binding:
- Paperback
- ISBN-10:
- 1138699713
- ISBN-13:
- 9781138699717