The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
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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“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]
Citations
Cites
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,870
Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075823 · Cited by 18,773
Multilevel analysis : an introduction to basic and advanced multilevel modeling
Snijders, T. A. B., & Bosker, R. (1999) · Cited by 6,830
Hox, J., Moerbeek, M., & van de Schoot, R. (2010) · doi:10.4324/9780203852279 · Cited by 3,469
Introducing Multilevel Modeling
Kreft, I., & de Leeuw, J. (1998) · doi:10.4135/9781849209366 · Cited by 2,997
(2011) · Cited by 2,025
(2018) · Sage eBooks · doi:10.4135/9781506326139.n404 · Cited by 1,538
Kelley, K., & Preacher, K. J. (2012) · Psychological Methods · doi:10.1037/a0028086 · Cited by 1,084
(2010) · Cited by 1,013
Kvålseth, T. O. (1985) · The American Statistician · doi:10.1080/00031305.1985.10479448 · Cited by 992
Cited by
Sorted by citations
Chong, S., Huang, Y., & Chang, C.-H. D. (2020) · Journal of Applied Psychology · doi:10.1037/apl0000843 · Cited by 407
Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data
Moshe, I., Terhorst, Y., Opoku Asare, K., Sander, L. B., Ferreira, D., Baumeister, H., Mohr, D. C., & Pulkki-Råback, L. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.625247 · Cited by 261
Same-sex marriage legalization associated with reduced implicit and explicit antigay bias
Ofosu, E. K., Chambers, M. K., Chen, J. M., & Hehman, E. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1806000116 · Cited by 264
A systematic study of microdosing psychedelics
Polito, V., & Stevenson, R. J. (2019) · PLoS ONE · doi:10.1371/journal.pone.0211023 · Cited by 235
Catching Up on Multilevel Modeling
Hoffman, L., & Walters, R. W. (2022) · Annual Review of Psychology · doi:10.1146/annurev-psych-020821-103525 · Cited by 138
Metadata
- 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
- 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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