SAGE's Cookie Policy
Close 

To enhance your experience on our site, SAGE stores cookies on your computer. By continuing you consent to receive cookies.

Learn More

Multiple Correspondence Analysis

Brigitte Le Roux Université Paris Descartes
Henry Rouanet Université Paris Descartes
© 2010   128 pages   SAGE Publications, Inc   
Volume 163
Instructors
For more information, please contact Customer Service at 1-800-818-7243
Individual Purchasers
Paperback ISBN: 9781412968973 $19.00

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

Product Type

All