The current practice of latent growth curve modeling in the social and behavioral sciences: Observations and recommendations

We examine recommendations for three key features of latent growth curve models in the structural equation modeling framework. As a basis for the discussion, we review current practice in the social and behavioral sciences literature as found in 441 reports published in the 19 months beginning in January 2019 and compare our findings to extant recommendations. We then provide suggestions for empirical researchers, reviewing the application of these very popular models, specifically focusing on comparison of alternative change models, time metric and interval features implemented, and the treatment of individually-varying time intervals.

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Publication Details

Journal
International Journal of Behavioral Development
Published
2024-08-11
DOI
https://doi.org/10.1177/01650254241269723
Citations
1
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.53

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article

The current practice of latent growth curve modeling in the social and behavioral sciences: Observations and recommendations

Matt L. Miller, Paolo Ghisletta, Emilio Ferrer
1 citations
International Journal of Behavioral Development
Health disparities and outcomes
0.53
article

The current practice of latent growth curve modeling in the social and behavioral sciences: Observations and recommendations

Matt L. Miller, Paolo Ghisletta, Emilio Ferrer
article en
1 citations

Abstract

We examine recommendations for three key features of latent growth curve models in the structural equation modeling framework. As a basis for the discussion, we review current practice in the social and behavioral sciences literature as found in 441 reports published in the 19 months beginning in January 2019 and compare our findings to extant recommendations. We then provide suggestions for empirical researchers, reviewing the application of these very popular models, specifically focusing on comparison of alternative change models, time metric and interval features implemented, and the treatment of individually-varying time intervals.

International Journal of Behavioral DevelopmentVol. 49(4)
University of Geneva (CH), Arizona State University (US), University of California, Davis (US)
European Commission, National Institutes of Health, Horizon 2020 Framework Programme, National Institute on Drug Abuse
Openalex Percentile: Top 31%
Health disparities and outcomes
0.53
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