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Fitting log-linear models to contingency tables from surveys with complex sampling designs: an investigation of the clogg-eliason approach

Record type: Article

Clogg and Eliason (1987) proposed a simple method for taking account of survey weights when fitting log-linear models to contingency tables. This article investigates the properties of this method. A rationale is provided for the method when the weights are constant within the cells of the table. For more general cases, however, it is shown that the standard errors produced by the method are invalid, contrary to claims in the literature.

The method is compared to the pseudo maximum likelihood method both theoretically and through an empirical study of social mobility relating daughter’s class to father’s class using survey data from France. The method of Clogg and Eliason is found to underestimate standard errors systematically. The article concludes by recommending against the use of this method, despite its simplicity. The limitations of the method may be overcome by using the pseudo maximum likelihood method.

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Citation

Skinner, Chris and Vallet, Louis-Andre (2010) Fitting log-linear models to contingency tables from surveys with complex sampling designs: an investigation of the clogg-eliason approach Sociological Methods and Research, 39, (1), pp. 83-108. (doi:10.1177/0049124110366239).

More information

Published date: August 2010
Keywords: complex sampling jackknife, log linear model, pseudo maximum likelihood, stratification, survey weight

Identifiers

Local EPrints ID: 163087
URI: http://eprints.soton.ac.uk/id/eprint/163087
ISSN: 0049-1241
PURE UUID: 3122c221-6112-4280-be36-82557c3ecc39

Catalogue record

Date deposited: 07 Sep 2010 08:21
Last modified: 18 Jul 2017 12:31

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Contributors

Author: Chris Skinner
Author: Louis-Andre Vallet

University divisions


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