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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

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

[img] Text (multilevel SEM for the interrelationships between multiple latent dimensions of childhood socioeconomic circumstances, partnership transitions and midlife health) - Accepted Version
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Identification Number: 10.1111/rssa.12554

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.

Item Type: Article
Official URL: https://rss.onlinelibrary.wiley.com/journal/146798...
Additional Information: © 2020 The Royal Statistical Society
Divisions: European Institute
Statistics
Grantham Research Institute
Subjects: H Social Sciences > HA Statistics
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
H Social Sciences > HC Economic History and Conditions
Date Deposited: 17 Jan 2020 12:45
Last Modified: 29 Jun 2020 10:45
URI: http://eprints.lse.ac.uk/id/eprint/103104

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