Multilevel models for repeated binary outcomes: attitudes and voting over the electoral cycle

Authors: Yang, M.¹; Goldstein, H.¹; Heath, A.²

Source: Journal of the Royal Statistical Society: Series A (Statistics in Society), Volume 163, Number 1, February 2000 , pp. 49-62(14)

Publisher: Wiley-Blackwell

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Abstract:

Models for fitting longitudinal binary responses are explored by using a panel study of voting intentions. A standard multilevel repeated measures logistic model is shown to be inadequate owing to a substantial proportion of respondents who maintain a constant response over time. A multivariate binary response model is shown to be a better fit to the data.

Keywords: Longitudinal binary data; Multilevel; Multivariate multilevel model; Political attitudes; Voting

Document Type: Original article

DOI: http://dx.doi.org/10.1111/1467-985X.00156

Affiliations: 1: Institute of Education, London, UK, 2: Nuffield College, Oxford, UK

Publication date: 2000-02-01