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

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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


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

Publication date: February 1, 2000

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