Reporting results of latent growth modeling and multilevel modeling analyses: some recommendations for rehabilitation psychology.
Abstract
OBJECTIVE: There has been a general increase in interest and use of modeling techniques that treat data as nested, whether it is people nested within larger units, such as families or treatment centers, or observations nested under people. The popularity can be witnessed by noting the number of new textbooks and articles related to latent growth curve modeling and multilevel modeling. This paper discusses both of these techniques in the context of longitudinal research designs, with the main purposes of highlighting some benefits and issues related to the use of these models and outlining guidelines for reporting results from studies using multilevel modeling or latent growth modeling. IMPLICATIONS: These longitudinal analytic techniques can be greatly beneficial to researchers conducting rehabilitation studies, but there are several issues related to their use and reporting that need to be taken into consideration.
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Multilevel modelling is a flexible statistical approach that can handle non-balanced data with missing entries and repeated observations.
“Multilevel modelling is a flexible statistical approach that can handle non-balanced data with missing entries and repeated observations [102].”
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- Authors
- Jackson, D. L.
- Affiliations
- University of Windsor (CA)
- Corresponding author
- Jackson, Dennis L.
- Venue
- Rehabilitation Psychology
- Published
- 2010
- Volume
- 55
- Issue
- 3
- Pages
- 272-285
- ISSN
- 0090-5550 (ISSN-L)
- 1939-1544
- OpenAlex
- W2000227873
- Cited by
- 65
- References
- 82
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 2 · 2022: 7 · 2021: 5 · 2020: 5 · 2019: 5 · 2018: 3 · 2017: 5 · 2016: 7 · 2015: 4 · 2014: 4 · 2013: 4 · 2012: 5
- FWCI
- 2.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Rehabilitation Psychology (publishedVersion)
- PubMed (publishedVersion)
- 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, multilevel modeling, reporting guidelines, longitudinal study design, nested data, statistical reporting
- MeSH terms
- Humans, Longitudinal Studies, Models, Theoretical, Rehabilitation
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