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.
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Produktdetaljer
ISBN
9781315516233
Publisert
2018
Utgave
1. utgave
Utgiver
Vendor
Routledge
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter