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 Louise Allan; Derek Johnston

doi:10.1111/rssa.12191

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 Louise Allan, Derek Johnston

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

65 Downloads (Pure)

Original language	English
Pages (from-to)	263–283
Number of pages	21
Journal	Journal of the Royal Statistical Society. Series A, (Statistics in Society)
Volume	180
Issue number	1
Early online date	10 Mar 2016
DOIs	https://doi.org/10.1111/rssa.12191
Publication status	Published - 1 Jan 2017

Bibliographical note

Funded by
Chief Scientist Office, Scotland. Grant Number: CZH/4/394
Economic and Social Research Council grant as part of the National Centre for Research Methods. Grant Number: RES-576-25-0032

Keywords

Ecological momentary assessment
High frequency data
Intensive longitudinal data
Multilevel latent variable model
Occupational stress
Realtime assessment
Simultaneous equation model

Access to Document

10.1111/rssa.12191Licence: Unspecified

Accepted Manuscript
"This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."
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Cite this

Steele, F., Clarke, P., Leckie, G., Allan, J. L., & Johnston, D. (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. Journal of the Royal Statistical Society. Series A, (Statistics in Society), 180(1), 263–283. https://doi.org/10.1111/rssa.12191

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. / Steele, Fiona; Clarke, Paul; Leckie, George et al.
In: Journal of the Royal Statistical Society. Series A, (Statistics in Society), Vol. 180, No. 1, 01.01.2017, p. 263–283.

Research output: Contribution to journal › Article › peer-review

Steele, F, Clarke, P, Leckie, G, Allan, JL & Johnston, D 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', Journal of the Royal Statistical Society. Series A, (Statistics in Society), vol. 180, no. 1, pp. 263–283. https://doi.org/10.1111/rssa.12191

Steele F, Clarke P, Leckie G, Allan JL, Johnston D. 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. Journal of the Royal Statistical Society. Series A, (Statistics in Society). 2017 Jan 1;180(1):263–283. Epub 2016 Mar 10. doi: 10.1111/rssa.12191

Steele, Fiona ; Clarke, Paul ; Leckie, George et al. / 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. In: Journal of the Royal Statistical Society. Series A, (Statistics in Society). 2017 ; Vol. 180, No. 1. pp. 263–283.

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