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

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  • M. Yang
  • H. Goldstein
  • A. Heath

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.

Suggested Citation

  • M. Yang & H. Goldstein & A. Heath, 2000. "Multilevel models for repeated binary outcomes: attitudes and voting over the electoral cycle," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(1), pages 49-62.
    • Handle: RePEc:bla:jorssa:v:163:y:2000:i:1:p:49-62
    DOI: 10.1111/1467-985X.00156
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    Cited by:

    1. Paula L. Griffiths & James J. Brown & Peter W. F. Smith, 2004. "A comparison of univariate and multivariate multilevel models for repeated measures of use of antenatal care in Uttar Pradesh," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(4), pages 597-611, November.
    2. Nkafu Anumendem & Bieke De Fraine & Patrick Onghena & Jan Van Damme, 2013. "The impact of coding time on the estimation of school effects," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 1021-1040, February.
    3. Bartolucci, Francesco & Nigro, Valentina, 2007. "Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3470-3483, April.
    4. Stephen Jivraj, 2012. "Modelling Socioeconomic Neighbourhood Change due to Internal Migration in England," Urban Studies, Urban Studies Journal Limited, vol. 49(16), pages 3565-3578, December.
    5. Antony Fielding & Min Yang, 2005. "Generalized linear mixed models for ordered responses in complex multilevel structures: effects beneath the school or college in education," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(1), pages 159-183, January.
    6. William J. Browne, 2022. "A celebration of Harvey Goldstein’s lifetime contributions: Memories of working with Harvey Goldstein on multilevel modelling methods and applications," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 753-758, July.
    7. Bhat, Chandra & Zhao, Huimin, 2002. "The spatial analysis of activity stop generation," Transportation Research Part B: Methodological, Elsevier, vol. 36(6), pages 557-575, July.

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