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Fitting three-level meta-analytic models in R: A step-by-step tutorial
Open accessAbstract
Applying a multilevel approach to meta-analysis is a strong method for dealing with dependency of effect sizes.However, this method is relatively unknown among researchers and, to date, has not been widely used in meta-analytic research.Therefore, the purpose of this tutorial was to show how a three-level random effects model can be applied to meta-analytic models in R using the rma.mv function of the metafor package.This application is illustrated by taking the reader through a step-by-step guide to the multilevel analyses comprising the steps of (1) organizing a data file; (2) setting up the R environment; (3) calculating an overall effect; (4) examining heterogeneity of within-study variance and between-study variance; (5) performing categorical and continuous moderator analyses; and (6) examining a multiple moderator model.By example, the authors demonstrate how the multilevel approach can be applied to meta-analytically examining the association between mental health disorders of juveniles and juvenile offender recidivism.In our opinion, the rma.mv function of the metafor package provides an easy and flexible way of applying a multi-level structure to meta-analytic models in R. Further, the multilevel meta-analytic models can be easily extended so that the potential moderating influence of variables can be examined.
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“As a result, there no information is lost and (moderator) effects can be estimated more precisely and with maximum power in the statistical analyses (Assink and Wibbelink 2016).”
From Risk Factors for School Absenteeism and Dropout: A Meta-Analytic Review (2019) · cites this paper as Assink and Wibbelink 2016
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“As recommended by Assink and Wibbelink (2016), moderation analyses should be conducted if less than 75% of the variance can be attributed to Level 1.”
From Therapeutic games to reduce anxiety and depression in young people: A systematic review and exploratory meta‐analysis of their use and effectiveness. (2024) · cites this paper as Assink and Wibbelink (2016)
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“There is no need to know the correlations between outcomes extracted from one study for estimating the covariance matrix of the effect sizes since the second level in the model accounts for sampling covariation ( Assink and Wibbelink, 2016 ).”
From The effect of contextual interference on transfer in motor learning - a systematic review and meta-analysis (2024) · cites this paper as Assink and Wibbelink, 2016
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“To deal with this intra-study dependency of prevalence estimates, we opted for the three-level model with random effects for data points obtained within one article to calculate pooled prevalence estimates (29, 30).”
From The global prevalence of autism spectrum disorder: A three-level meta-analysis (2023) · cites this paper as [30]
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“we used a multilevel approach to metaanalysis (Assink & Wibbelink, 2016), which is a strong method for dealing with dependency of effect sizes, as it accounts for the hierarchical structure of the data in which effect sizes are nested within studies (Van Den Noortgate & Onghena, 2003).”
From Associations between rejection sensitivity and mental health outcomes: A meta-analytic review (2017) · cites this paper as Assink & Wibbelink, 2016
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“The Knapp and Hartung method (2003) has the advantage that it reduces Type I‐errors (Assink & Wibbelink, 2016).”
From Does Natural Mentoring Matter? A Multilevel Meta‐analysis on the Association Between Natural Mentoring and Youth Outcomes (2018) · cites this paper as Assink & Wibbelink, 2016
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In the citing paper
“A three‐level random effects model was used to account for three levels of variance, including the sampling variance of each effect size (level 1), the variance between effect sizes extracted from the same study (level 2), and the variance between the studies (level 3).”
From Does Natural Mentoring Matter? A Multilevel Meta‐analysis on the Association Between Natural Mentoring and Youth Outcomes (2018) · cites this paper as Assink & Wibbelink, 2016
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“Likelihood‐ratio tests were used to compare the deviance scores of the full model to the deviance of models excluding level 2 or level 3 variance parameters, making it possible to determine whether significant variance is present at the two levels (Assink & Wibbelink, 2016).”
From Does Natural Mentoring Matter? A Multilevel Meta‐analysis on the Association Between Natural Mentoring and Youth Outcomes (2018) · cites this paper as Assink & Wibbelink, 2016
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“This analysis considers three levels of variance components distributed across the model, including variance between effect sizes from the same study and variance between studies; this therefore allows for an examination of how effect sizes vary between participants (Level 1), outcomes (Level 2) and studies (Level 3; Assink & Wibbelink, 2016).”
From Therapeutic games to reduce anxiety and depression in young people: A systematic review and exploratory meta‐analysis of their use and effectiveness. (2024) · cites this paper as Assink & Wibbelink, 2016
The cited source says what the claim attributes to it.
In the citing paper
“The analyses suggested that there was significant variability ( p = .001) between effect sizes (Level 2) and between studies (Level 3), indicating that moderator analyses should be conducted (Assink & Wibbelink, 2016).”
From Therapeutic games to reduce anxiety and depression in young people: A systematic review and exploratory meta‐analysis of their use and effectiveness. (2024) · cites this paper as Assink & Wibbelink, 2016
The cited source says what the claim attributes to it.
In the citing paper
“Dependency of effect sizes normally means that effect sizes within studies are correlated (as these are expected to show a certain similarity); this creates an overlap of information and inflates information produced by the analysis, which can result in an overconfidence in its results (Assink & Wibbelink, 2016).”
From Therapeutic games to reduce anxiety and depression in young people: A systematic review and exploratory meta‐analysis of their use and effectiveness. (2024) · cites this paper as Assink & Wibbelink, 2016
In the citing paper
“A hierarchical multi-level multivariate meta-analytical approach for data plotting was used to account for statistical dependence in effect sizes from multiple within-study comparison arms (cannabis use frequencies) to a common control group (non-use)”
From Risk-thresholds for the association between frequency of cannabis use and the development of psychosis: a systematic review and meta-analysis (2023) · cites this paper as Assink & Wibbelink, 2016
In the citing paper
“As studies reported more than one effect size (for example, depression and suicidal ideation), we opted for a multilevel meta-analysis with three levels (for example, ref. 47), a random-effect model, which enables modelling the dependent effect sizes from the same study.”
From Prevalence and severity of mental health problems in early-career researchers: a systematic review and meta-analysis (2026) · cites this paper as [47]
In the citing paper
“For parameter estimation, restricted maximum likelihood estimation was applied, and for standard errors, P values and 95% CIs, Knapp and Hartung’s adjustment47,227 was used.”
From Prevalence and severity of mental health problems in early-career researchers: a systematic review and meta-analysis (2026) · cites this paper as [47]
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Citations
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,377
(2007) · Cited by 10,092
(2000) · Cited by 9,198
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
Research works printed but not linked: 1
- Egger, M. and Davey-Smith, G. and Altman, D., 2001, Systematic Reviews in Healthcare
Cited by
Sorted by citations
Items 401–500 of 1,003
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Karami, M., Araújo, C. F., Tang, J., & Roldan, L. B. (2024) · Journal of Small Business Management · doi:10.1080/00472778.2024.2418030 · Cited by 30
Linking attachment to empathy in childhood and adolescence: A multilevel meta-analysis
Li, S., Ran, G., & Chen, X. (2021) · Journal of Social and Personal Relationships · doi:10.1177/02654075211031006 · Cited by 23
Risk factors for juvenile cybercrime: A meta-analytic review
Wissink, I. B., Standaert, J. C. A., Stams, G. J. J. M., Asscher, J. J., & Assink, M. (2023) · Aggression and Violent Behavior · doi:10.1016/j.avb.2023.101836 · Cited by 22
Self-citationDawes, M., Malamut, S. T., Guess, H., & Lohrbach, E. (2024) · Educational Psychology Review · doi:10.1007/s10648-024-09951-5 · Cited by 41
Ebner, C., Granacher, U., & Gehring, D. (2025) · Sports Medicine · doi:10.1007/s40279-025-02182-w · Cited by 25
Tian, X., Huebner, E. S., & Tian, L. (2025) · Journal of Youth and Adolescence · doi:10.1007/s10964-025-02176-x · Cited by 22
Zainal, N. H., Wang, V. Y., Garthwaite, B., & Curtiss, J. E. (2025) · Health Psychology Review · doi:10.1080/17437199.2025.2547610 · Cited by 26
Ding, D., & Zheng, M. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.893150 · Cited by 29
Yoldi‐Negrete, M., Gill, L.-N., Olivares, S., Lauzière, A., Désilets, M., & Tourjman, V. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.08.005 · Cited by 25
Loheide‐Niesmann, L., Riem, M. M. E., & Cima, M. (2022) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-022-02117-0 · Cited by 25
The association between problematic internet use and burnout: A three-level meta-analysis
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Ali, M. U., Mancini, G. B. J., Fitzpatrick‐Lewis, D., Connelly, K. A., O’Meara, E., Zieroth, S. R., & Sherifali, D. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02154-w · Cited by 23
Thurston, C., Murray, A. L., Franchino-Olsen, H., Silima, M., Hemady, C. L., & Meinck, F. (2026) · Trauma, Violence, & Abuse · doi:10.1177/15248380251358223 · Cited by 25
“There is currently no direct function to conduct an Egger’s bias test in meta-analytic models with more than two levels (Assink & Wibbelink, 2016; Fernández-Castilla et al., 2021).”
Shi, L., Cai, Z., Chen, S., & Han, D. H. (2022) · PeerJ · doi:10.7717/peerj.13870 · Cited by 23
Sun, F., Li, L., Wen, X., Xue, Y., & Yin, J. (2024) · Complementary Therapies in Clinical Practice · doi:10.1016/j.ctcp.2024.101850 · Cited by 26
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Yang, H., Ran, G., Zhang, Q., & Niu, X. (2021) · Archives of Suicide Research · doi:10.1080/13811118.2021.2020192 · Cited by 26
Ostrowski, J., Svaldi, J., & Schroeder, P. A. (2022) · Journal of Neural Transmission · doi:10.1007/s00702-022-02507-3 · Cited by 20
Ali, M. U., Mancini, G. B. J., Fitzpatrick‐Lewis, D., Lewis, R., Jovkovic, M., Zieroth, S. R., O’Meara, E., Connelly, K. A., & Sherifali, D. (2022) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2022.05.011 · Cited by 21
Yang, X., Fridman, A., Nash Unsworth, A., & Casement, M. D. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105125 · Cited by 22
Scionti, N., Zampini, L., & Marzocchi, G. M. (2023) · Children · doi:10.3390/children10081391 · Cited by 35
Xu, Y., Wang, I. Y., Chen, J., Sun, J., & Li, J. (2024) · Learning and Individual Differences · doi:10.1016/j.lindif.2024.102521 · Cited by 36
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Jennissen, S., Huber, J., Ditzen, B., & Dinger, U. (2024) · Psychotherapy Research · doi:10.1080/10503307.2024.2423662 · Cited by 28
Estrada, S., Gee, D. G., Božić, I., Timmons, M., Joormann, J., & Baskin-sommers, A. R. (2021) · Psychological Medicine · doi:10.1017/s0033291721001380 · Cited by 20
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Jiang, Z., Liang, X., Wang, Z., Lin, Y., & Zhang, L. (2023) · PsyCh Journal · doi:10.1002/pchj.637 · Cited by 20
Risky decision-making in major depressive disorder: A three-level meta-analysis
Lu, J., Zhao, X., Wei, X., & He, G. (2023) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2023.100417 · Cited by 23
Duggan, M., & Tressoldi, P. E. (2018) · F1000Research · doi:10.12688/f1000research.14330.2 · Cited by 22
The Relationship between Music and Food Intake: A Systematic Review and Meta-Analysis
Cui, T., Xi, J., Tang, C., Song, J., He, J., & Brytek‐Matera, A. (2021) · Nutrients · doi:10.3390/nu13082571 · Cited by 26
A meta-analysis of teacher well-being: A job demands and resources perspective
Li, Y., Chen, J., Lu, J., & Wang, X. (2025) · Educational Research Review · doi:10.1016/j.edurev.2025.100719 · Cited by 19
Bates, L., Alansare, A. B., Gibbs, B. B., Hanson, E. D., & Stoner, L. R. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.664628 · Cited by 19
Zhang, E., & Liu, Y. (2022) · International Journal of Educational Research · doi:10.1016/j.ijer.2022.101949 · Cited by 27
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Gonzalez, K., Portocarrero, F. F., & Ekema-Agbaw, M. L. (2022) · Personnel Psychology · doi:10.1111/peps.12513 · Cited by 26
Phylactou, P., Traikapi, A., Παπαδάτου-Παστού, Μ., & Konstantinou, N. (2022) · Psychonomic Bulletin & Review · doi:10.3758/s13423-022-02107-y · Cited by 24
Kvamme, L. S., Keleş, S., Nes, R. B., Vaskinn, L., Waaler, P. M., Wentzel‐Larsen, T., & Kjøbli, J. (2022) · Residential Treatment for Children & Youth · doi:10.1080/0886571x.2022.2111397 · Cited by 19
Bijlsma, A. M. E., Assink, M., Stams, G. J. J. M., & van der Put, C. E. (2022) · Criminal Justice Review · doi:10.1177/07340168221140830 · Cited by 24
Self-citationLapsey, D. S., Campbell, B. A., & Benitez, I. (2023) · Journal of Criminal Justice · doi:10.1016/j.jcrimjus.2023.102032 · Cited by 19
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Bella-Fernández, M., Martín-Moratinos, M., Li, C., Wang, P., & Blasco-Fontecilla, H. (2023) · Neuropsychology Review · doi:10.1007/s11065-023-09587-2 · Cited by 26
Laera, G., Borghese, F., Hering, A., Kliegel, M., & Mioni, G. (2023) · Memory · doi:10.1080/09658211.2023.2191901 · Cited by 21
Morello, K., Schäfer, S. K., Kunzler, A. M., Priesterroth, L., Tüscher, O., & Kubiak, T. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1253390 · Cited by 26
LeMense, A. T., Malone, G. T., Kinderman, M. A., Fedewa, M. V., & Winchester, L. J. (2024) · The Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000004709 · Cited by 19
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Moyers, S. A., & Hagger, M. S. (2020) · International Review of Sport and Exercise Psychology · doi:10.1080/1750984x.2020.1846068 · Cited by 19
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van Galen, L. G., Lord, J. M., Orlovich, D. A., & Larcombe, M. J. (2020) · Restoration Ecology · doi:10.1111/rec.13333 · Cited by 19
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Hornstein, J., Keller, M. V., Greisel, M., Dresel, M., & Kollar, I. (2025) · Educational Psychology Review · doi:10.1007/s10648-025-10017-3 · Cited by 18
“We performed all statistical analyses in R [4.3.2], using random effects three-level meta-analysis (e.g., Assink & Wibbelink, 2016; Borenstein et al., 2009).”
InfluentialRisoli, S., Cotrozzi, L., Pisuttu, C., & Nali, C. (2023) · Phytopathology · doi:10.1094/phyto-08-23-0292-r · Cited by 18
Zhu, X., Tang, Y., Lu, J., Song, M., Yang, C., & Zhao, X. (2024) · Educational Psychology Review · doi:10.1007/s10648-024-09976-w · Cited by 24
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Sedikides, C., Tang, Y., Liu, Y., de Boer, E., Assink, M., Thomaes, S. C. E., & Brummelman, E. (2024) · Personality and Social Psychology Bulletin · doi:10.1177/01461672241307531 · Cited by 27
Self-citationDu, M., Zhang, S., Liu, M., & Liu, J. (2025) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2025.102654 · Cited by 18
Hampejs, V., Zwickl, A. A., Tran, U. S., & Voracek, M. (2025) · Personality and Individual Differences · doi:10.1016/j.paid.2025.113308 · Cited by 18
Rattanakanokchai, S., Kietpeerakool, C., Srisomboon, J., Jampathong, N., Pattanittum, P., & Lumbiganon, P. (2019) · Clinical Epidemiology · doi:10.2147/clep.s235429 · Cited by 20
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Spence, J. L., Hornsey, M. J., & Imuta, K. (2021) · Child Development · doi:10.1111/cdev.13548 · Cited by 18
Anderson, K. C., Zieff, G. H., Paterson, C. A., Stoner, L. R., WELTMAN, A. L., & Allen, J. D. (2021) · Peptides · doi:10.1016/j.peptides.2021.170625 · Cited by 18
Bao, X., Li, S., Zhang, Y., Tang, Q., & Chen, X. (2022) · Journal of Social and Personal Relationships · doi:10.1177/02654075221074387 · Cited by 23
Chen, H., Liu, J., & Bai, Y. (2020) · Annals of Behavioral Medicine · doi:10.1093/abm/kaac030 · Cited by 19
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Bates‐Fraser, L. C., Riley, S., Stopforth, C. K., Moertl, K. M., Edgar, K. M., Stoner, L. R., & Hanson, E. D. (2023) · PLoS ONE · doi:10.1371/journal.pone.0284427 · Cited by 20
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Gao, J., & Sun, P. P. (2024) · International Journal of Applied Linguistics · doi:10.1111/ijal.12493 · Cited by 18
Vöckel, J., Markser, A. M., Wege, L., Wunram, H. L., Sigrist, C., & Koenig, J. (2023) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2023.09.006 · Cited by 19
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Kim, H., GARTNER, C. E., Edwards, R., Puljević, C., Morphett, K., Kim, D. H., Chun, H.-R., Ekdahl, M., & Kang, H. (2024) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntae149 · Cited by 20
Zhang, C., Zhou, Y., Wijaya, T. T., Chen, J., & Ning, Y. (2024) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2024.101587 · Cited by 18
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Liu, B., Zhang, W., & Wang, F. (2026) · Education Sciences · doi:10.3390/educsci16010140 · Cited by 33
Griffin, J. W., & Oswald, F. (2022) · Psychonomic Bulletin & Review · doi:10.3758/s13423-022-02067-3 · Cited by 16
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Metadata
- Authors
- Assink, M., & Wibbelink, C. J. M.
- Affiliations
- University of Amsterdam (NL)
- Corresponding author
- Assink, Mark
- Venue
- The Quantitative Methods for Psychology
- Published
- 2016-10-01
- Volume
- 12
- Issue
- 3
- Pages
- 154-174
- ISSN
- 2292-1354 (ISSN-L)
- OpenAlex
- W2532414435
- Semantic Scholar
- 95f645af7a355ecf2b9a7958c12734ad1768e44f
- Cited by
- 1,330
- References
- 47
- Citations by year
- 2026: 345 · 2025: 244 · 2024: 208 · 2023: 146 · 2022: 134 · 2021: 93 · 2020: 81 · 2019: 44 · 2018: 22 · 2017: 9 · 2016: 2
- FWCI
- 21.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Quantitative Methods for Psychology (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Universiteit Maastricht
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- multilevel meta-analysis, R programming language, effect size heterogeneity, between-study variance, moderator analysis
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