Multiple Correspondence Analysis

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Reference & Language, Reference, Research
Cover of the book Multiple Correspondence Analysis by Professor Brigitte Le Roux, Professor Henry Rouanet, SAGE Publications
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Author: Professor Brigitte Le Roux, Professor Henry Rouanet ISBN: 9781483389462
Publisher: SAGE Publications Publication: December 16, 2009
Imprint: SAGE Publications, Inc Language: English
Author: Professor Brigitte Le Roux, Professor Henry Rouanet
ISBN: 9781483389462
Publisher: SAGE Publications
Publication: December 16, 2009
Imprint: SAGE Publications, Inc
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.

Learn more about "The Little Green Book" - QASS Series! Click Here

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

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.

Learn more about "The Little Green Book" - QASS Series! Click Here

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