A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio‐economic circumstances, partnership transitions and mid‐life health. (25th February 2020)

• Record Type: Journal Article
• Authors: Zhu, Yajing; Steele, Fiona; Moustaki, Irini
• Is Part Of: Journal of the Royal Statistical Society. Volume 183:Number 3(2020)
• Page Start: 1029
• Page End: 1050
• Publication Date: 2020-02-25
• Subjects: Event history analysis -- Latent variable model -- Multilevel model -- Non‐ignorable dropout -- Three‐step approach; Social sciences -- Statistical methods -- Periodicals; Statistics -- Periodicals; 300.15195
• DOI: 10.1111/rssa.12554
• Languages: English
• ISSNs: 0964-1998

Abstract

Summary: 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.