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A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio‐economic circumstances, partnership transitions and mid‐life health

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  • Yajing Zhu
  • Fiona Steele
  • Irini Moustaki

Abstract

We propose a multilevel structural equation model to investigate the interrelationships between childhood socio‐economic circumstances, partnership formation and stability, and mid‐life health, using data from the 1958 British birth cohort. The structural equation model comprises latent class models that characterize the patterns of change in four dimensions of childhood socio‐economic circumstances and a joint regression model that relates these categorical latent variables to partnership transitions in adulthood and mid‐life health, while allowing for informative dropout. The model can be extended to handle multiple outcomes of mixed types and at different levels in a hierarchical data structure.

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  • Yajing Zhu & Fiona Steele & Irini Moustaki, 2020. "A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio‐economic circumstances, partnership transitions and mid‐life health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1029-1050, June.
    • Handle: RePEc:bla:jorssa:v:183:y:2020:i:3:p:1029-1050
    DOI: 10.1111/rssa.12554
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    References listed on IDEAS

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    1. Florianne C. J. Verkroost, 2022. "A Bayesian multivariate hierarchical growth curve model to examine cumulative socio‐economic (dis)advantage among childless adults and parents," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2234-2276, October.

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