Modeling Latent Growth Curves With Incomplete Data Using Different Types of Structural Equation Modeling and Multilevel Software
Abstract
This article offers different examples of how to fit latent growth curve (LGC) models to longitudinal data using a variety of different software programs (i.e., LISREL, Mx, Mplus, AMOS, SAS). The article shows how the same model can be fitted using both structural equation modeling and multilevel software, with nearly identical results, even in the case of models of latent growth fitted to incomplete data. The general purpose of this article is to provide a demonstration that integrates programming features from different software. The most immediate goal is to help researchers implement these LGC models as a useful way to test hypotheses of growth.
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LGCA is robust to bias due to missing data through the use of full information maximum likelihood estimation.
“LGCA is robust to bias due to missing data, through the use of full information maximum likelihood (FIML) estimation [54]”
From Telerehabilitation of acute musculoskeletal multi-disorders: prospective, single-arm, interventional study (2022) · cites this paper as [54]
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References 23 · Cited by 115
- Authors
- Ferrer, E., Hamagami, F., & McArdle, J. J.
- ORCID
- Ferrer, Emilio
- Venue
- Structural Equation Modeling: A Multidisciplinary Journal
- Publisher
- Informa UK Limited
- Published
- 2004-07
- Volume
- 11
- Issue
- 3
- Pages
- 452-483
- ISSN
- 1070-5511 (ISSN-L)
- 1532-8007
- OpenAlex
- W2021325163
- Cited by
- 115
- References
- 23
- Citations by year
- 2026: 3 · 2025: 13 · 2024: 2 · 2023: 2 · 2022: 11 · 2021: 4 · 2020: 3 · 2019: 6 · 2018: 5 · 2017: 6 · 2016: 3 · 2015: 8 · 2014: 7 · 2013: 6 · 2012: 8
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Structural Equation Modeling A Multidisciplinary Journal (publishedVersion)
- Funders
- National Institute on Aging
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- latent growth curve models, missing data, longitudinal data, structural equation modeling, multilevel modeling, LISREL, Mplus, MX, Amos, SAS
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