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Multiple Correspondence Analysis (Quantitative Applications in the Social Sciences) PDF

126 Pages·2010·17.119 MB·English
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by Professor Brigitte Le Roux, Professor Henry Rouanet| 2010| 126 pages| 17.119| English

About Multiple Correspondence Analysis (Quantitative Applications in the Social Sciences)

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.

Detailed Information

Author:Professor Brigitte Le Roux, Professor Henry Rouanet
Publication Year:2010
ISBN:9781412968973
Pages:126
Language:English
File Size:17.119
Format:PDF
Price:FREE
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