Correspondence Analysis In The Social Sciences
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Correspondence Analysis in the Social Sciences
| Author | : Michael Greenacre |
| Publisher | : Academic Press |
| Total Pages | : 400 |
| Release | : 1994-09-21 |
| Genre | : Business & Economics |
| ISBN | : |
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The first part of the book deals with basic concepts of correspondence analysis and related methods for analyzing cross-tabulations. It then looks at the multivariate case when there are several variables of interest, including the relationship to cluster analysis, factor analysis and reliability of measurement. Applications to longitudinal data: event history data, panel data and trend data are demonstrated.
Correspondence Analysis in the Social Sciences Related Books
Language: en
Pages: 400
Pages: 400
Type: BOOK - Published: 1994-09-21 - Publisher: Academic Press
The first part of the book deals with basic concepts of correspondence analysis and related methods for analyzing cross-tabulations. It then looks at the multiv
Language: en
Pages: 118
Pages: 118
Type: BOOK - Published: 2018-06-18 - Publisher: 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–
Language: en
Pages: 129
Pages: 129
Type: BOOK - Published: 2010 - Publisher: SAGE
"Requiring no prior knowledge of correspondence analysis, this text provides anontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in
Language: en
Pages: 607
Pages: 607
Type: BOOK - Published: 2006-06-23 - Publisher: CRC Press
As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets
Language: en
Pages:
Pages:
Type: BOOK - Published: 1998 - Publisher:
