Multilevel structural equation models for longitudinal data where predictors are measured more frequently than outcomes: an application to the effects of stress on the cognitive function of nurses

Fiona Steele, Paul Clarke, George Leckie, Julia Allan and Derek Johnston

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: Ecological momentary assessment is used to measure subjects' mood and behaviour repeatedly over time, leading to intensive longitudinal data. Variability in ecological momentary assessment schedules creates an analytical challenge because predictors are measured more frequently than responses. We consider this problem in a study of the effect of stress on the cognitive function of telephone helpline nurses, where stress is measured for each call and cognitive outcomes are measured at the end of a shift. We propose a flexible structural equation model which can handle multiple levels of clustering, measurement error, time trends and mixed variable types.

Keywords: ecological momentary assessment; high frequency data; intensive longitudinal data; multilevel latent variable model; occupational stress; realtime assessment; simultaneous equation model (search for similar items in EconPapers)
JEL-codes: C1 (search for similar items in EconPapers)
Pages: 21 pages
Date: 2017-01-01
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Published in Journal of the Royal Statistical Society. Series A: Statistics in Society, 1, January, 2017, 180(1), pp. 263 - 283. ISSN: 0964-1998

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