Quantifying explained variance in multilevel models: an integrative framework for defining R-squared measures
Abstract
that computes all measures in our framework to help researchers in considering effect size and conveying practical significance. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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There are issues quantifying explained variance in multilevel models.
“Given the issues quantifying explained variance in multilevel models (86, 87)”
From Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data (2021) · cites this paper as [86]
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Rights, J. D., & Cole, D. A. (2018) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2018.1528550 · Cited by 20 · see citing works
Self-citationSchlegelmilch, R., & von Helversen, B. (2020) · Journal of Experimental Psychology General · doi:10.1037/xge0000747 · Cited by 19 · see citing works
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A Neuroimmune Modulator for Alcohol Use Disorder
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Fales, J. L., Murphy, L. K., Rights, J. D., & Palermo, T. M. (2019) · Journal of Pain · doi:10.1016/j.jpain.2019.05.016 · Cited by 17 · see citing works
Self-citation
- Authors
- Rights, J. D., & Sterba, S. K.
- ORCID
- Rights, Jason D.
- Venue
- Psychological Methods
- Published
- 2019-06
- Volume
- 24
- Issue
- 3
- Pages
- 309-338
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- OpenAlex
- W2823644790
- Cited by
- 413
- References
- 26
- Citations by year
- 2026: 54 · 2025: 62 · 2024: 62 · 2023: 74 · 2022: 55 · 2021: 44 · 2020: 40 · 2019: 18 · 2018: 4
- FWCI
- 22.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Methods (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- explained variance, multilevel models, effect size, practical significance, variance partitioning
- MeSH terms
- Data Interpretation, Statistical, Educational Measurement, Humans, Psychology, Students, Models, Statistical, Multilevel Analysis, Biostatistics
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