Methods and Measures: Growth mixture modeling: A method for identifying differences in longitudinal change among unobserved groups
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- 26 October 2009
- journal article
- other
- Published by SAGE Publications in International Journal of Behavioral Development
- Vol. 33 (6), 565-576
- https://doi.org/10.1177/0165025409343765
Abstract
Growth mixture modeling (GMM) is a method for identifying multiple unobserved sub-populations, describing longitudinal change within each unobserved sub-population, and examining differences in change among unobserved sub-populations. We provide a practical primer that may be useful for researchers beginning to incorporate GMM analysis into their research. We briefly review basic elements of the standard latent basis growth curve model, introduce GMM as an extension of multiple-group growth modeling, and describe a four-step approach to conducting a GMM analysis. Example data from a cortisol stress-response paradigm are used to illustrate the suggested procedures.Keywords
This publication has 39 references indexed in Scilit:
- A Second-Order Growth Mixture Model for Developmental ResearchResearch in Human Development, 2009
- Discrete-Time Survival Factor Mixture Analysis for Low-Frequency Recurrent Event HistoriesResearch in Human Development, 2009
- Growth Mixture ModelingOrganizational Research Methods, 2007
- Advances in Group-Based Trajectory Modeling and an SAS Procedure for Estimating ThemSociological Methods & Research, 2007
- Growth mixture modelling in developmental psychology: overview and demonstration of heterogeneity in developmental trajectories of adolescent antisocial behaviourInfant and Child Development, 2006
- Latent growth mixture models: an important new tool for developmental researchersInfant and Child Development, 2006
- Statistical and Substantive Checking in Growth Mixture Modeling: Comment on Bauer and Curran (2003).Psychological Methods, 2003
- Distributional Assumptions of Growth Mixture Models: Implications for Overextraction of Latent Trajectory Classes.Psychological Methods, 2003
- A SAS Procedure Based on Mixture Models for Estimating Developmental TrajectoriesSociological Methods & Research, 2001
- Likelihood Ratio Tests for Model Selection and Non-Nested HypothesesEconometrica, 1989