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An introduction to growth mixture models (GMM)
- Issue Date
- 1-Jan-2022
- Publisher
- Elsevier
- Keywords
- Growth mixture model; Latent class growth analysis; Latent growth model; Longitudinal studies; Mental health; Mplus
- Citation
- International Encyclopedia of Education: Fourth Edition, pp.646 - 656
- Indexed
- SCOPUS
- Journal Title
- International Encyclopedia of Education: Fourth Edition
- Start Page
- 646
- End Page
- 656
- ISSN
- 0000-0000
- Abstract
- Popular research methods addressing change over time often fail to consider the heterogeneity that may exist in trajectories over time. Building on a latent growth curve model in a structural equation framework, with longitudinal data over multiple time points, possible heterogeneity trajectories can be investigated with growth mixture modeling. We begin by introducing latent growth models then describe how they can be extended to account for different trajectories across multiple latent classes. A step-by-step illustration using Mplus software is presented to show how this model can be applied in practice. Program syntax is provided. © 2023 Elsevier Ltd. All rights reserved.
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Collections - Social Sciences > Department of Child Psychology and Education > 1. Journal Articles
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Related Researcher
- LEE, TAEKYOUNG
- Social Sciences (Child Psychology and Education)