Analysing Dependence in Large Contingency Tables: NonSymmetric Correspondence Analysis and Regression with Optimal Scaling

Pieter M. Kroonenberg
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Pieter M. Kroonenberg: Leiden University, Department of Education

A chapter in Measurement and Multivariate Analysis, 2002, pp 87-96 from Springer

Abstract: Summary In this presentation a brief survey is presented of the relative merits of two alternative approaches to the problem of modelling dependence for categorical variables when they have more than a few categories. The first approach is categorical regression with optimal scaling. The other technique is nonsymmetric(al) correspondence analysis. On a very general level, it will be shown to what an extent the techniques are similar and different.

Keywords: Correspondence Analysis; American Statistical Association; Original Category; Optimal Scaling; Column Variable (search for similar items in EconPapers)
Date: 2002
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-4-431-65955-6_9

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DOI: 10.1007/978-4-431-65955-6_9

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