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A log-linear modelling approach to assessing the consistency of ego reports of dyadic outcomes with applications to fertility and sexual partnerships

Admiraal, R. and Handcock, M.S. (2015) A log-linear modelling approach to assessing the consistency of ego reports of dyadic outcomes with applications to fertility and sexual partnerships. Journal of the Royal Statistical Society: Series A (Statistics in Society), 178 (2). pp. 363-382.

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Link to Published Version: http://dx.doi.org/10.1111/rssa.12067
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Abstract

We propose a log-linear model to assess the consistency of ego reports of dyadic outcomes. We do so specifically in the context where males and females report on shared events, and we demonstrate how inconsistencies can be assessed by using a log-linear model that estimates separate mixing totals for each set of reports. This modelling approach immediately allows us to determine where inconsistencies in reports occur. To demonstrate how our method can be easily implemented for survey data, we apply it to both the 1992 National Health and Social Life Survey and the 2002 National Survey of Family Growth. Our analysis identifies inconsistencies in male and female reports of concurrent partnerships and the number of biological children.

Publication Type: Journal Article
Murdoch Affiliation: School of Engineering and Information Technology
Publisher: Blackwell Publishing
Copyright: © 2014 Royal Statistical Society.
URI: http://researchrepository.murdoch.edu.au/id/eprint/22657
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