Multiple Correspondence Analysis Paperback / softback
by Brigitte le Roux, Henry Rouanet
Part of the Quantitative Applications in the Social Sciences series
Paperback / softback
Description
Requiring no prior knowledge of correspondence analysis, this text provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right.
The authors, Brigitte LeRoux and Henry Rouanet, present thematerial in a practical manner, keeping the needs of researchers foremost in mind. Key FeaturesReaders learn how to construct geometric spaces from relevant data, formulate questions of interest, and link statistical interpretation to geometric representations. They also learn how to perform structured data analysis and to draw inferential conclusions from MCA. The text uses real examples to help explain concepts. The authors stress the distinctive capacity of MCA to handle full-scale research studies. This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as for individual researchers.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:128 pages
- Publisher:SAGE Publications Inc
- Publication Date:19/01/2010
- Category:
- ISBN:9781412968973
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:128 pages
- Publisher:SAGE Publications Inc
- Publication Date:19/01/2010
- Category:
- ISBN:9781412968973
