Mixed-effects Models in the Study of Individual Differences with Repeated Measures Data
- 1 July 1996
- journal article
- research article
- Published by Taylor & Francis in Multivariate Behavioral Research
- Vol. 31 (3) , 371-403
- https://doi.org/10.1207/s15327906mbr3103_6
Abstract
Nonlinear mixed-effects models are used to describe each person's set of scores from a longitudinal design or repeated measures study by a function that includes an overall group effect plus an effect for the individual. The model is ideal for many kinds of behavioral data. Some characteristics of mixed models are reviewed in this article and illustrated by a series of examples.Keywords
This publication has 22 references indexed in Scilit:
- Approximations to the Log-Likelihood Function in the Nonlinear Mixed-Effects ModelJournal of Computational and Graphical Statistics, 1995
- Multilevel Covariance Structure AnalysisSociological Methods & Research, 1994
- Some Simple Methods for Estimating Intraindividual Variability in Nonlinear Mixed Effects ModelsPublished by JSTOR ,1993
- Estimating Individual Developmental Functions: Methods and Their AssumptionsChild Development, 1991
- Random Coefficient Models for Multilevel AnalysisJournal of Educational Statistics, 1986
- A growth curve approach to the measurement of change.Psychological Bulletin, 1982