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, FionaClarke, PaulLeckie, GeorgeAllan, Julia LouiseJohnston, Derek2017-03-112017-03-112017-01-01Steele, 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), vol. 180, no. 1, pp. 263–283. https://doi.org/10.1111/rssa.121910964-1998ORCID: /0000-0001-7287-8363/work/78365645http://hdl.handle.net/2164/8318Funded 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-576-25-003221782842engEcological momentary assessmentHigh frequency dataIntensive longitudinal dataMultilevel latent variable modelOccupational stressRealtime assessmentSimultaneous equation modelBF PsychologyEconomic and Social Research Council (ESRC)RES-576-25-0032Chief Scientist Office (CSO)CZH/4/394BFMultilevel 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 nursesJournal article10.1111/rssa.121911801