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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

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journal contribution
posted on 10.08.2021, 01:03 by Ryan AdmiraalRyan Admiraal, MS Handcock
Summary: 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.

History

Preferred citation

Admiraal, R. & 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), 363-382. https://doi.org/10.1111/rssa.12067

Journal title

Journal of the Royal Statistical Society. Series A: Statistics in Society

Volume

178

Issue

2

Publication date

01/01/2015

Pagination

363-382

Publisher

Wiley

Publication status

Published

Online publication date

03/06/2014

ISSN

0964-1998

eISSN

1467-985X

Language

en