The Carroll-Green-Schaffer Scaling in Correspondence Analysis: A Theoretical and Empirical Appraisal
Open Access
- 1 August 1989
- journal article
- research article
- Published by SAGE Publications in Journal of Marketing Research
- Vol. 26 (3) , 358-365
- https://doi.org/10.1177/002224378902600310
Abstract
In two recent JMR articles, Carroll, Green, and Schaffer have proposed an alternative scaling of the coordinates in the correspondence analysis of a contingency table. This “CGS scaling” is claimed to allow interpoint distance comparisons both “within sets” (i.e., row-to-row and column-to-column distances) and “between sets” (i.e., row-to-column distances). The author shows by a theoretical argument and by means of a simple practical example that the rationale on which this scaling is based is incorrect.Keywords
This publication has 10 references indexed in Scilit:
- Correspondence analysis of multivariate categorical data by weighted least-squaresBiometrika, 1988
- Analysis of Contingency Tables by Ideal Point Discriminant AnalysisPsychometrika, 1987
- Comparing Interpoint Distances in Correspondence Analysis: A ClarificationJournal of Marketing Research, 1987
- Ideal Point Discriminant AnalysisPsychometrika, 1987
- The Geometric Interpretation of Correspondence AnalysisJournal of the American Statistical Association, 1987
- Correspondence Analysis: Graphical Representation of Categorical Data in Marketing ResearchJournal of Marketing Research, 1986
- Interpoint Distance Comparisons in Correspondence AnalysisJournal of Marketing Research, 1986
- Correspondence Analysis used Complementary to Loglinear AnalysisPsychometrika, 1985
- 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 Categorizing Behavior by a Quantification MethodBehaviormetrika, 1980