Journal article
Catching Up on Multilevel Modeling
Annual review of psychology, Vol.73(1), pp.659-689
2022
DOI: 10.1146/annurev-psych-020821-103525
PMID: 34982593
Abstract
This review focuses on the use of multilevel models in psychology and other social sciences. We target readers who are catching up on current best practices and sources of controversy in the specification of multilevel models. We first describe common use cases for clustered, longitudinal, and cross-classified designs, as well as their combinations. Using examples from both clustered and longitudinal designs, we then address issues of centering for observed predictor variables: its use in creating interpretable fixed and random effects of predictors, its relationship to endogeneity problems (correlations between predictors and model error terms), and its translation into multivariate multilevel models (using latent-centering within multilevel structural equation models). Finally, we describe novel extensions-mixed-effects location-scale models-designed for predicting differential amounts of variability.
Details
- Title: Subtitle
- Catching Up on Multilevel Modeling
- Creators
- Lesa Hoffman - University of IowaRyan W Walters - Creighton University
- Resource Type
- Journal article
- Publication Details
- Annual review of psychology, Vol.73(1), pp.659-689
- DOI
- 10.1146/annurev-psych-020821-103525
- PMID
- 34982593
- NLM abbreviation
- Annu Rev Psychol
- ISSN
- 0066-4308
- eISSN
- 1545-2085
- Language
- English
- Date published
- 2022
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984371094102771
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