Cited by 102Psychometric Methodologies and TestingStatistical Methods and Bayesian InferenceMental Health Research Topics

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Modeling Latent Change Score Analysis and Extensions in Mplus: A Practical Guide for Researchers

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Klopack, Eric T., Wickrama, Kandauda (K.A.S.)·2020·Structural Equation Modeling: A Multidisciplinary Journal

DOI 10.1080/10705511.2018.1562929PMC PMC7531193

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Abstract

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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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
DOI: 10.1080/10705511.2018.1562929
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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Modeling Latent Change Score Analysis and Extensions in Mplus: A Practical Guide for Researchers

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