Dual scaling for the analysis of categorical data.

J Pers Assess

Department of Psychology, Simon Fraser University, Canada.

Published: October 2005

Dual scaling is a set of related techniques for the analysis of a wide assortment of categorical data types including contingency tables and multiple-choice, rank order, and paired comparison data. When applied to a contingency table, dual scaling also goes by the name "correspondence analysis," and when applied to multiple-choice data in which there are more than 2 items, "optimal scaling" and "multiple correspondence analysis. " Our aim of this article was to explain in nontechnical terms what dual scaling offers to an analysis of contingency table and multiple-choice data.

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http://dx.doi.org/10.1207/s15327752jpa8502_14DOI Listing

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