A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio‐economic circumstances, partnership transitions and mid‐life health
Zhu, Yajing; Steele, Fiona
; and Moustaki, Irini
(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: Statistics in Society, 183 (3).
1029 - 1050.
ISSN 0964-1998
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.
| Item Type | Article |
|---|---|
| Copyright holders | © 2020 The Royal Statistical Society |
| Keywords | event histroy analysis, non-ignorable dropout, latent variable model, multilevel model, 3-step approach |
| Departments |
European Institute Statistics Grantham Research Institute |
| DOI | 10.1111/rssa.12554 |
| Date Deposited | 17 Jan 2020 12:45 |
| Acceptance Date | 2020-01-17 |
| URI | https://researchonline.lse.ac.uk/id/eprint/103104 |
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ORCID: https://orcid.org/0000-0001-6417-7444
ORCID: https://orcid.org/0000-0001-8371-1251