Modeling Latent Change Score Analysis and Extensions in Mplus: A Practical Guide for Researchers
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Many developmental and life course researchers are interested in modeling dynamic developmental processes. Latent change score (LCS) modeling is a potentially powerful modeling technique that can be used to assess complex life course processes, as well as the direction of longitudinal bivariate associations. Advances in modeling software, like Mplus, as well as widening adoption of software by researchers has made LCS modeling simpler. Thus, in the present paper, we provide 1) a theoretical overview of LCS analysis, 2) information on the interpretation of these models, 3) a practical guid7e for estimating these models in Mplus (including example syntax), 4) illustrative examples of LCS analysis, and 5) potential caveats for researchers.
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Dual latent change score models allow for simultaneous modelling of two latent variables over time while examining autoregressive feedback and coupling parameters.
“This approach allows for simultaneous modelling of two latent variables (i.e., loneliness = LO and negative affect = NA) over time, while examining autoregressive feedback as well as coupling parameters (Fig. 1).”
From Adolescent Loneliness and Negative Affect during the COVID-19 Pandemic: The Role of Extraversion and Neuroticism (2023) · cites this paper as Klopack & Wickrama, 2020
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- Authors
- Klopack, E. T., & Wickrama, K. (. A. S. ).
- Affiliations
- University of Georgia (US)
- University of Georgia
- Corresponding author
- Klopack, Eric T.
- ORCID
- Klopack, Eric T.
- Venue
- Structural Equation Modeling: A Multidisciplinary Journal
- Publisher
- Informa UK Limited
- Published
- 2019-04-25
- Volume
- 27
- Issue
- 1
- Pages
- 97-110
- ISSN
- 1070-5511 (ISSN-L)
- 1532-8007
- PMC
- PMC7531193
- OpenAlex
- W2941371515
- Cited by
- 102
- References
- 26
- Citations by year
- 2026: 14 · 2025: 14 · 2024: 20 · 2023: 24 · 2022: 16 · 2021: 11 · 2020: 3
- FWCI
- 5.37
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Structural Equation Modeling A Multidisciplinary Journal (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Maternal and Child Health Bureau (MCJ-109572)
- National Institute of Mental Health (MH00567, MH051361, MH19734, MH43270, MH48165)
- National Institute on Aging (AG043599)
- National Institute on Drug Abuse (DA05347)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- Mplus, developmental trajectories, model interpretation
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