Multilevel models for repeated binary outcomes: attitudes and voting over the electoral cycle
Source: Journal of the Royal Statistical Society: Series A (Statistics in Society), Volume 163, Number 1, February 2000 , pp. 49-62(14)
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.
Document Type: Original article
Publication date: 2000-02-01