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An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling
Abstract
In recent years, there has been a growing interest among researchers in the use of latent class and growth mixture modeling techniques for applications in the social and psychological sciences, in part due to advances in and availability of computer software designed for this purpose (e.g., Mplus and SAS Proc Traj). Latent growth modeling approaches, such as latent class growth analysis (LCGA) and growth mixture modeling (GMM), have been increasingly recognized for their usefulness for identifying homogeneous subpopulations within the larger heterogeneous population and for the identification of meaningful groups or classes of individuals. The purpose of this paper is to provide an overview of LCGA and GMM, compare the different techniques of latent growth modeling, discuss current debates and issues, and provide readers with a practical guide for conducting LCGA and GMM using the Mplus software.
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Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510701575396 · Cited by 11,415
Testing the number of components in a normal mixture
Lo, Y. (2001) · Biometrika · doi:10.1093/biomet/88.3.767 · Cited by 4,640
The SAGE Handbook of Quantitative Methodology for the Social Sciences
Kaplan, D. (2004) · doi:10.4135/9781412986311 · Cited by 1,454
Cited by
Spurk, D., Hirschi, A., Wang, M., Valero, D., & Kauffeld, S. (2020) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2020.103445 · Cited by 2,119
Bonanno, G. A., Brewin, C. R., Kaniasty, K., & Greca, A. M. L. (2010) · Psychological Science in the Public Interest · doi:10.1177/1529100610387086 · Cited by 1,289
Ram, N., & Grimm, K. J. (2009) · International Journal of Behavioral Development · doi:10.1177/0165025409343765 · Cited by 1,143
Resilience in Development and Psychopathology: Multisystem Perspectives
Masten, A. S., Lucke, C. M., Nelson, K. M., & Stallworthy, I. C. (2021) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-081219-120307 · Cited by 794
The GRoLTS-Checklist: Guidelines for Reporting on Latent Trajectory Studies
van de Schoot, R., Sijbrandij, M., Winter, S. D., Depaoli, S., & Vermunt, J. K. (2017) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705511.2016.1247646 · Cited by 721
Metadata
- Authors
- Jung, T., & Wickrama, K. A. S.
- Venue
- Social and Personality Psychology Compass
- Publisher
- Wiley
- Published
- 2007-12-06
- Volume
- 2
- Issue
- 1
- Pages
- 302-317
- ISSN
- 1751-9004 (ISSN-L)
- OpenAlex
- W2118079952
- Cited by
- 3,181
- References
- 3
- FWCI
- 25.27
- Type
- journal article
- Language
- en
- Open access
- closed
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