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A Noniterative Method of Joint Correspondence Analysis

Published online by Cambridge University Press:  01 January 2025

Krishna Tateneni  and
Michael W. Browne
Krishna Tateneni*
Affiliation:
The Ohio State University
Michael W. Browne
Affiliation:
The Ohio State University
*
Requests for reprints should be sent to Krishna Tateneni, Educational Testing Service, Mailstop 1 l-L, Princeton NJ 08541. E-Mail: ktateneni@ets.org
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Abstract

Correspondence analysis leads to a graphical representation of the associations between categories of the row and column variables of a contingency table. Greenacre's (1988) formulation of joint correspondence analysis is a multivariate extension which finds the optimal joint display of contingency tables between all pairs of variables in a set. Greenacre presented a discrepancy function and an alternating least squares algorithm for its minimization. Boik (1996) presented an alternative algorithm, also of the alternating least squares type, for minimizing the same discrepancy function. In this paper, a noniterative procedure, not based on the minimization of any discrepancy function, is described.

Keywords

joint correspondence analysisnoniterative estimation
Type
Original Paper
Information
Psychometrika , Volume 65 , Issue 2 , June 2000 , pp. 157 - 165
Copyright
Copyright © 2000 The Psychometric Society

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