Some interpretative tools for non-symmetrical correspondence analysis

Title: Some interpretative tools for non-symmetrical correspondence analysis
Creator: Beh, Eric J.; D'Ambra, Luigi
Relation: Journal of Classification Vol. 26, Issue 1, p. 55-76
Publisher Link: http://dx.doi.org/10.1007/s00357-009-9025-0
Publisher: Springer
Resource Type: journal article
Date: 2009
Description: Non-symmetrical correspondence analysis (NSCA) is a very practical statistical technique for the identification of the structure of association between asymmetrically related categorical variables forming a contingency table. This paper considers some tools that can be used to numerically and graphically explore in detail the association between these variables and include the use of confidence regions, the establishment of the link between NSCA and the analysis of variance of categorical variables, and the effect of imposing linear constraints on a variable.
Subject: CATANOVA; confidence circles; Goodman-Kruskal tau index; linear constraints; non-symmetrical correspondence analysis
Identifier: http://hdl.handle.net/1959.13/1054338
Identifier: uon:15736
Identifier: ISSN:0176-4268
Rights: The final publication is available at www.springerlink.com
Language: eng
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