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A multilevel SEM for the interrelationships between multiple latent dimensions of childhood socioeconomic circumstances, partnership transitions and midlife health

Zhu, Yajing, Steele, Fiona and Moustaki, Irini (2020) A multilevel SEM for the interrelationships between multiple latent dimensions of childhood socioeconomic circumstances, partnership transitions and midlife health. Journal of the Royal Statistical Society. Series A: Statistics in Society. ISSN 0964-1998 (In Press)

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Abstract

We propose a multilevel structural equation model (SEM) to investigate the interrelationships between childhood socioeconomic circumstances (SECs), partnership formation and stability, and midlife health, using data from the 1958 British birth cohort. The SEM comprises latent class models that characterize the patterns of change in four dimensions of childhood SECs and a joint regression model that relates these categorical latent variables to partnership transitions in adulthood and midlife 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://www.rss.org.uk/RSS/Publications/Journals_s...
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: 23 Feb 2020 00:15
URI: http://eprints.lse.ac.uk/id/eprint/103104

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