de Falguerolles, Antoine and Jmel, Said and Whittaker, Joe C. (1995) Correspondence analysis and association models constrained by a conditional independence graph. Psychometrika, 60 (2). pp. 161-180. ISSN 0033-3123Full text not available from this repository.
The manner in which the conditional independence graph of a multiway contingency table effects the fitting and interpretation of the Goodman association model (RC) and of correspondence analysis (CA) is considered. Estimation of the row and column scores is presented in this context by developing a unified framework that includes both models. Incorporation of the conditional independence constraints inherent in the graph may lead to equal or additive scores for the corresponding marginal tables, depending on the topology of the graph. An example of doubly additive scores in the analysis of a Burt subtable is given.
|Journal or Publication Title:||Psychometrika|
|Uncontrolled Keywords:||RC-association model - collapsibility - conditional independence - correspondence analysis - graphical model - independence graph - log-linear model - multiway contingency table - score additivity|
|Subjects:||Q Science > QA Mathematics|
|Deposited On:||11 Nov 2008 09:44|
|Last Modified:||07 Jan 2015 13:13|
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