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.