Multiple Correspondence Analysis
Brigitte Le Roux, Henry Rouanet
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.
카테고리:
권:
163
년:
2010
출판사:
Sage Publications, Inc
언어:
english
페이지:
115
ISBN 10:
1412968976
ISBN 13:
9781412968973
시리즈:
Quantitative Applications in the Social Sciences
파일:
PDF, 17.12 MB
IPFS:
,
english, 2010