Interpreting multiple correspondence analysis
- 1 June 1991
- journal article
- Published by Wiley in Applied Stochastic Models and Data Analysis
- Vol. 7 (2) , 195-210
- https://doi.org/10.1002/asm.3150070208
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.Keywords
This publication has 6 references indexed in Scilit:
- The Carroll-Green-Schaffer Scaling in Correspondence Analysis: A Theoretical and Empirical AppraisalJournal of Marketing Research, 1989
- Correspondence analysis of multivariate categorical data by weighted least-squaresBiometrika, 1988
- Correspondence analysis on a personal computerChemometrics and Intelligent Laboratory Systems, 1987
- The Geometric Interpretation of Correspondence AnalysisJournal of the American Statistical Association, 1987
- An Analysis and Synthesis of Multiple Correspondence Analysis, Optimal Scaling, Dual Scaling, Homogeneity Analysis and Other Methods for Quantifying Categorical Multivariate DataPsychometrika, 1985
- Analysis of Categorical DataPublished by University of Toronto Press Inc. (UTPress) ,1980