Applied Correspondence Analysis: An Introduction, Volume 121

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SAGE, Jun 1, 1998 - Mathematics - 69 pages
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This volume provides readers with a simple, non-technical introduction to correspondence analysis (CA), a technique for summarily describing the relationships among categorical variables in large tables. It begins with the history and logic of CA. The author shows readers the steps to the analysis: category profiles and masses are computed, the distances between these points calculated and the best-fitting space of n-dimensions located. There are glossaries on appropriate programs from SAS and SPSS for doing CA and the book concludes with a comparison of CA and log-linear models.

 

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Contents

Analysis of Large Tables
26
Analysis of Multiple Response Tables and Survey Data
37
Correspondence Analysis and Loglinear Models
43
Conclusion
50
SPSS Program Lines and Output
59
References
65
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