Interpreting multiple correspondence analysis
Michael J. Greenacre
Applied Stochastic Models and Data Analysis, 1991, vol. 7, issue 2, 195-210
Abstract:
The practical aspects of interpreting multiple correspondence analysis are reviewed. The geometric concepts associated with simple correspondence analysis are shown to be inadequate for multiple correspondence analysis. An alternative approach, called joint correspondence analysis, is shown to be a more natural generalization of the simple case. The practical interpretation of homogeneity analysis is also discussed and a compromise is proposed between classical multiple correspondence analysis and joint correspondence analysis, preserving the optimal scaling properties of homogeneity analysis. A simple example is used throughout the discussion to illustrate the issues involved.
Date: 1991
References: View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
https://doi.org/10.1002/asm.3150070208
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmda:v:7:y:1991:i:2:p:195-210
Access Statistics for this article
More articles in Applied Stochastic Models and Data Analysis from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().