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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

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

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.

Suggested Citation

  • Steele, Fiona & Clarke, Paul & Leckie, George & Allan, Julia & Johnston, Derek, 2017. "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," LSE Research Online Documents on Economics 64893, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:64893
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    References listed on IDEAS

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    1. Li C. Liu & Donald Hedeker, 2006. "A Mixed-Effects Regression Model for Longitudinal Multivariate Ordinal Data," Biometrics, The International Biometric Society, vol. 62(1), pages 261-268, March.
    2. George Leckie & Robert French & Chris Charlton & William Browne, 2014. "Modeling Heterogeneous Variance–Covariance Components in Two-Level Models," Journal of Educational and Behavioral Statistics, , vol. 39(5), pages 307-332, October.
    3. Harvey Goldstein & Daphne Kounali, 2009. "Multilevel multivariate modelling of childhood growth, numbers of growth measurements and adult characteristics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(3), pages 599-613, June.
    4. Fiona Steele & Harvey Goldstein, 2006. "A Multilevel Factor Model for Mixed Binary and Ordinal Indicators of Women's Status," Sociological Methods & Research, , vol. 35(1), pages 137-153, August.
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    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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