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Multiple Correspondence Analysis for the Social Sciences
Engelsk Paperback
Multiple Correspondence Analysis for the Social Sciences
Engelsk Paperback

425 kr
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Om denne bog

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.

Product detaljer
Sprog:
Engelsk
Sider:
118
ISBN-13:
9781138699717
Indbinding:
Paperback
Udgave:
ISBN-10:
1138699713
Kategori:
Udg. Dato:
20 jun 2018
Længde:
8mm
Bredde:
162mm
Højde:
230mm
Forlag:
Taylor & Francis Ltd
Oplagsdato:
20 jun 2018
Forfatter(e):
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