Cited by 247Statistical Methods and Bayesian InferenceSpatial and Panel Data AnalysisAgriculture, Soil, Plant Science

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Multilevel Models for Longitudinal Data

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Steele, Fiona·2008·Journal of the Royal Statistical Society Series A (Statistics in Society)

DOI 10.1111/j.1467-985x.2007.00509.x

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Abstract

Summary Repeated measures and repeated events data have a hierarchical structure which can be analysed by using multilevel models. A growth curve model is an example of a multilevel random-coefficients model, whereas a discrete time event history model for recurrent events can be fitted as a multilevel logistic regression model. The paper describes extensions to the basic growth curve model to handle auto-correlated residuals, multiple-indicator latent variables and correlated growth processes, and event history models for correlated event processes. The multilevel approach to the analysis of repeated measures data is contrasted with structural equation modelling. The methods are illustrated in analyses of children’s growth, changes in social and political attitudes, and the interrelationship between partnership transitions and childbearing.

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Authors: Steele, F.
Affiliations: University of Bristol (GB)
Corresponding author: Steele, Fiona
Venue: Journal of the Royal Statistical Society Series A (Statistics in Society)
Publisher: Oxford University Press (OUP)
Published: 2007-10-29
Volume: 171
Issue: 1
Pages: 5-19
ISSN: 0964-1998 (ISSN-L)
1467-985X
DOI: 10.1111/j.1467-985x.2007.00509.x
OpenAlex: W2104023838
Cited by: 247
References: 35
Citations by year: 2026: 13 · 2025: 11 · 2024: 6 · 2023: 12 · 2022: 12 · 2021: 22 · 2020: 16 · 2019: 23 · 2018: 23 · 2017: 15 · 2016: 14 · 2015: 19 · 2014: 13 · 2013: 10 · 2012: 12
FWCI: 5.03
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
Locations: Journal of the Royal Statistical Society Series A (Statistics in Society) (publishedVersion)
London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (submittedVersion)
Bristol Research (University of Bristol) (submittedVersion)
Funders: Economic and Social Research Council (ES/E00234X/1)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agriculture, Soil, Plant Science
Keywords: multilevel models, longitudinal data, repeated measures, growth curve models, random coefficient models, event history models, recurrent events, multilevel logistic regression, autocorrelated residuals, structural equation modeling, child growth, attitude change, childbearing

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