Multiple Correspondence Analysis
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Product details
- ISBN 9781412968973
- Weight: 170g
- Dimensions: 139 x 215mm
- Publication Date: 19 Jan 2010
- Publisher: SAGE Publications Inc
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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 Features
- Readers 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.
