The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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.
In the citing paper
“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
The cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“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
The cited source says what the claim attributes to it.
In the citing paper
“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
The cited source says what the claim attributes to it.
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
The cited source says what the claim attributes to it.
In the citing paper
“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
The cited source says what the claim attributes to it.
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Flagged first, then by citations
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 501–600 of 1,002
A review and meta-analysis: Cross-tissue telomere length correlations in healthy humans
McLester‐Davis, L. W. Y., Estrada, P., Hastings, W. J., Kataria, L., Martin, N. A., Siebeneicher, J. T., Tristano, R. I., Mayne, C. V., Horlick, R., O’Connell, S. S., et al. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101942 · Cited by 15
Georgescu, T., & Nedelcea, C. (2023) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2912 · Cited by 23
The power of the “be creative” instruction: A meta-analytical evaluation
Wei, X., Shen, W., Long, H., & Lu, F. (2023) · Learning and Motivation · doi:10.1016/j.lmot.2023.101945 · Cited by 17
Ricardo, T., Azócar‐Aedo, L., Previtali, M. A., & Monti, G. (2024) · Frontiers in Veterinary Science · doi:10.3389/fvets.2024.1301959 · Cited by 15
Graf, D., Sigrist, C., Boege, I., Cavelti, M., Koenig, J., & Kaess, M. (2024) · BMC Medicine · doi:10.1186/s12916-024-03448-2 · Cited by 16
Is exposure to pesticides associated with biological aging? A systematic review and meta-analysis
Zuo, S., Sasitharan, V., Tanna, G. L. D., Vonk, J. M., de Vries, M., Sherif, M., Ádám, B., Rivillas, J. C., & Gallo, V. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102390 · Cited by 16
Jensen, T. M. (2024) · Journal of Family Theory & Review · doi:10.1111/jftr.12581 · Cited by 15
Bakdash, J. Z., Marusich, L. R., Kenworthy, J. B., Twedt, E., & Zaroukian, E. G. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.609647 · Cited by 14
Genetic nurture effects on education: a systematic review and meta-analysisPreprint
Wang, B.-Y., Baldwin, J., Schoeler, T., Cheesman, R., Barkhuizen, W., Dudbridge, F., Bann, D., Morris, T. T., & Pingault, J.-B. (2021) · bioRxiv · doi:10.1101/2021.01.15.426782 · Cited by 10
Social Identification and Charitable Giving: A Systematic Review and Meta-Analysis
Chapman, C. M., Spence, J. L., Hornsey, M. J., & Dixon, L. J. (2025) · Nonprofit and Voluntary Sector Quarterly · doi:10.1177/08997640251317403 · Cited by 14
Sluiter, R. M. V., Fukkink, R. G., & Fekkes, M. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22050775 · Cited by 21
Do Pedagogical Agents Enhance Student Motivation? Unraveling the Evidence Through Meta-Analysis
Gladstone, J. R., Schroeder, N. L., Heidig, S., Zhang, S., Palaguachi, C., & Pitera, M. (2025) · Educational Psychology Review · doi:10.1007/s10648-025-10050-2 · Cited by 17
Zhu, H., Jia, F., Zhang, Y., & Wang, R. (2025) · Behavioral Sciences · doi:10.3390/bs15091143 · Cited by 14
More or Less? The Effect of Symbiont Density in Protective Mutualisms
Drew, G., & King, K. C. (2021) · The American Naturalist · doi:10.1086/718593 · Cited by 14
Pearce, A. M., Marr, C., Dewar, M., & Gow, A. J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.815439 · Cited by 16
The crucial role of blue light as a driver of litter photodegradation in terrestrial ecosystems
Wang, Q., Pieristè, M., Kotilainen, T. K., Forey, E., Chauvat, M., Kurokawa, H., Robson, T. M., & Jones, A. G. (2022) · Plant and Soil · doi:10.1007/s11104-022-05596-x · Cited by 16
Sai, L., Cheng, J., Shang, S., Fu, G., & Verschuère, B. (2023) · Psychophysiology · doi:10.1111/psyp.14333 · Cited by 18
Li, W., Kuang, Z., Leng, X., Mayer, R. E., & Wang, F. (2024) · Educational Psychology Review · doi:10.1007/s10648-024-09910-0 · Cited by 14
Wahi, G., St‐Pierre, J., Johnston, B. C., Fitzpatrick‐Lewis, D., Usman, A., Sherifali, D., Merdad, R. A., Esmaeilinezhad, Z., Birken, C. S., Hamilton, J. K., et al. (2024) · Pediatric Obesity · doi:10.1111/ijpo.13169 · Cited by 14
Deng, J., Liu, J., Luo, J., Pi, Y., Pan, J., Fu, Z., & Tang, X. (2024) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2024.107052 · Cited by 17
The Intervention Effects on Teacher Well-being: A Three-Level Meta-Analysis
Li, Y., Xiang, W., Chen, J., Lee, J. C., Yan, Z., & Li, J. (2024) · Educational Psychology Review · doi:10.1007/s10648-024-09966-y · Cited by 21
Inglis, J. G., Cabral, H. V., Cosentino, C., Bonardi, A., & Negro, F. (2025) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00863.2024 · Cited by 16
Kim, B. (2022) · Trauma, Violence, & Abuse · doi:10.1177/15248380221082154 · Cited by 14
Advancing Meta‐Analytic Methods in L2 Research
Plonsky, L., Hu, Y., Sudina, E., & Oswald, F. L. (2023) · Wiley eBooks · doi:10.1002/9781394259670.ch14 · Cited by 14
Eve, Z., Turner, M., Di Basilio, D., Harkin, B., Yates, A., Persson, S., Henry, J., Williams, A., Walton, G., Jones, M. V., et al. (2024) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2938 · Cited by 14
Heisig, J., Lindner, N., Kornder, N., Reichert, W., Becker, A., Haasenritter, J., Viniol, A., & van der Wardt, V. (2024) · Journal of Physical Activity and Health · doi:10.1123/jpah.2024-0099 · Cited by 18
Hou, Z., & Min, S. (2025) · ReCALL · doi:10.1017/s0958344025100268 · Cited by 20
Interpersonal Problems and Their Mental Health Correlates: A Meta‐Analytic Review
Iovoli, F., Rubel, J. A., Steinbrenner, T., & Lauterbach, R. (2025) · Journal of Clinical Psychology · doi:10.1002/jclp.70022 · Cited by 14
Maran, P. L., Braquehais, M. D., Vlaic, A., Alonzo-Castillo, T., Vendrell-Serres, J., Ramos‐Quiroga, J. A., & Rodríguez‐Urrutia, A. (2025) · JMIR Mental Health · doi:10.2196/67802 · Cited by 16
Hofstee, M., Huijding, J., Cuevas, K., & Deković, M. (2022) · Developmental Science · doi:10.1111/desc.13298 · Cited by 17
The Effectiveness of Museum Intervention on Parent–Child Conversations: A Meta-Analysis
Kupiec, K., Malmberg, L., & Mathers, S. J. (2022) · Visitor Studies · doi:10.1080/10645578.2022.2142926 · Cited by 13
Victims of Child Abuse Dropping Out of Trauma-Focused Treatment: A Meta-Analysis of Risk Factors
van der Hoeven, M. L., Assink, M., Stams, G. J. J. M., Daams, J. G., Lindauer, R., & Hein, I. M. (2022) · Journal of Child & Adolescent Trauma · doi:10.1007/s40653-022-00500-2 · Cited by 14
Self-citationNudging smokers away from lighting up: A meta-analysis of framing effect in current smokers
Waheed, H. (2023) · Journal of Behavioral and Experimental Economics · doi:10.1016/j.socec.2023.101998 · Cited by 13
Efficacy of systemic therapy on adults with depressive disorders: A meta-analysis
Vossler, A., Pinquart, M., Forbat, L., & Stratton, P. (2024) · Psychotherapy Research · doi:10.1080/10503307.2024.2352741 · Cited by 13
Lange, S., Llamosas‐Falcón, L., Kim, K. V., Lasserre, A. M., Orpana, H., Bagge, C. L., Roerecke, M., Rehm, J. T., & Probst, C. (2024) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2024.111348 · Cited by 17
Guo, L. (2024) · Mindfulness · doi:10.1007/s12671-024-02395-6 · Cited by 21
Godono, A., Dito, A., Martini, G., Picciaiola, M. V., Lorenzo, A. D., Ciocan, C., Boffetta, P., & Seyyedsalehi, M. S. (2024) · Environmental Research · doi:10.1016/j.envres.2024.120033 · Cited by 13
Xu, W. M., Xu, G.-R., & Xing, Q.-W. (2024) · Studies in Higher Education · doi:10.1080/03075079.2024.2416498 · Cited by 18
The context‐dependent benefits of organic farming on pollinator biodiversity: A meta‐analysis
Walker, E., Wooliver, R. C., Russo, L., & Jagadamma, S. (2024) · Journal of Applied Ecology · doi:10.1111/1365-2664.14826 · Cited by 13
A meta-analysis of the reliability of second language reading comprehension assessment tools
Zhao, H., & Aryadoust, V. (2024) · Studies in Second Language Acquisition · doi:10.1017/s0272263124000627 · Cited by 16
Systematic Review and Meta-Analysis: Phenotypic Correlates of the Autism Polygenic Score
de Wit, M. M., MORGAN, M., Libedinsky, I., Austerberry, C., Begeer, S., Abdellaoui, A., Ronald, A., & Polderman, T. J. C. (2025) · JAACAP Open · doi:10.1016/j.jaacop.2025.04.001 · Cited by 13
Zeegers, M. A. J., Meins, E., Stams, G. J. J. M., Bögels, S. M., & Colonnesi, C. (2019) · Developmental Review · doi:10.1016/j.dr.2019.100885 · Cited by 14
Rattanakanokchai, S., Eamudomkarn, N., Jampathong, N., Luong-Thanh, B.-Y., & Kietpeerakool, C. (2021) · Scientific Reports · doi:10.1038/s41598-021-84259-w · Cited by 15
Moshe, I., Terhorst, Y., Cuijpers, P. J., Cristea, I. A., Pulkki-Råbäck, L., & Sander, L. (2020) · JMIR Research Protocols · doi:10.2196/14860 · Cited by 14
Publication bias: A “bird's-eye view” of meta-analytic practice in criminology and criminal justice
Kim, B. (2021) · Journal of Criminal Justice · doi:10.1016/j.jcrimjus.2021.101878 · Cited by 14
Compassion for others and well-being: a meta-analysis
Zhuniq, M., Winter, F., & Aguilar‐Raab, C. (2025) · Scientific Reports · doi:10.1038/s41598-025-23460-7 · Cited by 30
The effect of ageing on confrontation naming in healthy older adults: a three-level meta-analysis
Wen, H., & Dong, Y. (2023) · Journal of Cognitive Psychology · doi:10.1080/20445911.2023.2184745 · Cited by 12
Malik, M. I., Jonker, A., Raboisson, D., Song, B., Rashid, M. A., & Sun, X. (2023) · Journal of Dairy Science · doi:10.3168/jds.2023-23545 · Cited by 12
A meta-analysis on the effectiveness of functional literacy interventions for adults
Kindl, J., & Lenhard, W. (2023) · Educational Research Review · doi:10.1016/j.edurev.2023.100569 · Cited by 16
Stephen, D. M., & Stahlschmidt, S. (2024) · Scientometrics · doi:10.1007/s11192-024-05006-2 · Cited by 12
Alliston, P., Jovkovic, M., Khalid, S., Fitzpatrick‐Lewis, D., Ali, M. U., & Sherifali, D. (2024) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2024.1348104 · Cited by 12
Effectiveness of Flipped Classrooms for K–12 Students: Evidence From a Three-Level Meta-Analysis
Li, S., Fu, W., Liu, X., & Hwang, G. (2024) · Review of Educational Research · doi:10.3102/00346543241261732 · Cited by 34
Spitz, R. W., Dankel, S. J., Bell, Z. W., Wong, V. H. Y., Abe, T., Kang, M., & Loenneke, J. P. (2021) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.14265 · Cited by 12
Schuler, H., Bonapersona, V., Joëls, M., & Sarabdjitsingh, R. A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0253406 · Cited by 15
MacDonald, K. B., Benson, A. J., Sakaluk, J. K., & Schermer, J. A. (2023) · Journal of Career Assessment · doi:10.1177/10690727221148717 · Cited by 16
Yu, Q., Falkenhain, K., Little, J. P., Wong, K. K., Nie, J., Shi, Q., & Kong, Z. (2023) · Complementary Therapies in Clinical Practice · doi:10.1016/j.ctcp.2023.101774 · Cited by 12
Augsburger, M., & Maercker, A. R. A. (2020) · Clinical Psychology Science and Practice · doi:10.1111/cpsp.12322 · Cited by 12
Deng, H., Song, T., Yin, M., Xu, K., Zhong, Y., Liu, P., Sun, S., Naharudin, M. N., Yusof, A., & Fan, X. (2025) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.70123 · Cited by 16
Anxiety, depression and family resilience: A three-level meta-analysis.
Li, R., Li, Y., Henry, C. S., Du, X.-Y., Mi, T., Wu, D., Jia, S., & Ren, Z.-H. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120163 · Cited by 13
Gaur, R. (2019) · Media Psychology · doi:10.1080/15213269.2019.1627888 · Cited by 13
Wang, S., Wang, X., Liang, L., & Xie, H. (2022) · Early Education and Development · doi:10.1080/10409289.2022.2159259 · Cited by 12
Carvalho, D. E. D., Mackey, S., To, D., Summers, A., Frey, M., Romme, K., Hogg‐Johnson, S., & Howarth, S. J. (2024) · Scientific Reports · doi:10.1038/s41598-024-52900-z · Cited by 12
Wen, S., Xuchen, Y. U., Lei, J. I. N., Junru, G. O. N. G., Zhang, X. D., Jinglin, S. U. N., Zhang, S., & Lyu, H. (2024) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2024.00771 · Cited by 12
The effectiveness of corpus use in ESL/EFL writing: A meta-analysis
Ngo, T. T.-N., & Chen, H. H.-J. (2024) · Language Teaching Research · doi:10.1177/13621688241260183 · Cited by 16
Ross, P. M., Pine, C., Scanes, E., Byrne, M., O’Connor, W. A., Gibbs, M. C., & Parker, L. M. (2024) · iScience · doi:10.1016/j.isci.2024.110673 · Cited by 12
Haas, M., Boiché, J. C. S., Chevance, G., Latrille, C., Brusseau, M., Courbis, A.-L., & Dupeyron, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-67948-0 · Cited by 11
Intellectual humility and misinformation receptivity: A meta-analytic review
Bowes, S. M., & Fazio, L. K. (2024) · advances in/psychology · doi:10.56296/aip00026 · Cited by 15
Schwartz, D., Zhang, M., Troop‐Gordon, W., Taylor, L. M., & Chung, J. (2024) · Journal of Adolescence · doi:10.1002/jad.12442 · Cited by 11
Malik, M. I., Li, J., Capucchio, M. T., Hassan, T., & Sun, X. (2024) · Frontiers in Veterinary Science · doi:10.3389/fvets.2024.1480682 · Cited by 11
Hu, B., Wang, C. C., Xia, Z., Lu, C. F., & Ju, X. (2025) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2025.102613 · Cited by 17
Positive Youth Development and Prosocial Behavior: A Systematic Review and Multilevel Meta‐Analysis
Meulenbeek, K., Loheide‐Niesmann, L., Spagnuolo, F., & Cima, M. (2025) · Journal of Adolescence · doi:10.1002/jad.70040 · Cited by 17
Bergsund, H. B., Drozd, F., Olafsen, K. S., Nilsen, W., Linnerud, S., Kjøbli, J., & Jacobsen, H. (2021) · Development and Psychopathology · doi:10.1017/s0954579421001164 · Cited by 11
Galvain, T., Hill, R. A., Donegan, S., Lisboa, P. G. J., Lip, G. Y. H., & Czanner, G. (2022) · Drug Safety · doi:10.1007/s40264-022-01231-x · Cited by 12
A meta-analysis of the association between movement specific reinvestment and motor performance
Tang, T. C. W., Mak, T. C. T., Wong, T. W. L., Capio, C. M., Li, J., Masters, R. S. W., & Chan, D. K. C. (2023) · International Review of Sport and Exercise Psychology · doi:10.1080/1750984x.2023.2214813 · Cited by 11
Swinkels, L. T. A., Hoeve, M., ter Harmsel, J. F., Schoonmade, L. J., Dekker, J., Popma, A., & van der Pol, T. M. (2023) · Clinical Psychology Review · doi:10.1016/j.cpr.2023.102321 · Cited by 14
The help that hinders? A meta‐analysis of reactions to affirmative action
Greig, S. M., Coundouris, S. P., Fletcher, G. L., Henry, J. D., & von Hippel, C. (2023) · European Journal of Social Psychology · doi:10.1002/ejsp.2991 · Cited by 12
The effectiveness of interventions for youth that activate the social network: a meta-analytic study
Koper, N., van der Heijden, R. M., Donk, S., Kieu, T., Creemers, H. E., van Dam, L., Branje, S., & Stams, G. J. J. M. (2024) · Applied Developmental Science · doi:10.1080/10888691.2024.2317714 · Cited by 10
Song, T., Ye, M., Teng, G., Zhang, W., & Chen, A. (2025) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2025.102839 · Cited by 10
Gu, H., Lei, Y., Yao, Y., Chen, C., & Liu, C. (2025) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2025.107566 · Cited by 17
Somers, K., Spruit, A., Stams, G. J. J. M., Vandevelde, S., Lindauer, R., & Assink, M. (2022) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-022-02088-2 · Cited by 12
Self-citationRabaza, A., Fraga, M., Mendoza, A. R., & Giannitti, F. (2023) · Journal of Dairy Science · doi:10.3168/jds.2022-22555 · Cited by 10
Do jihadist terrorist attacks cause changes in institutional trust? A multi‐site natural experiment
Nägel, C., Nivette, A. E., & Czymara, C. S. (2023) · European Journal of Political Research · doi:10.1111/1475-6765.12612 · Cited by 12
The effects of study abroad on L2 vocabulary development
Güvendir, E., Borràs, J., & Güvendir, M. A. (2024) · Study Abroad Research in Second Language Acquisition and International Education · doi:10.1075/sar.22014.bor · Cited by 11
Saywell, I., Foreman, L. M., Child, B., Phillips‐Hughes, A. L., Collins‐Praino, L. E., & Baetu, I. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105672 · Cited by 13
The Extent to Which Technostress Is Related to Employees’ Work-Life Fit: A Multilevel Meta-Analysis
Bottaro, R., DeGiovanni, K., & Faraci, P. (2024) · Workplace Health & Safety · doi:10.1177/21650799241264317 · Cited by 12
Intervention effect of exercise on working memory in patients with depression: a systematic review
Liu, C., Chen, R., Yun, S. M., & Wang, X. (2024) · PeerJ · doi:10.7717/peerj.17986 · Cited by 10
Post-traumatic stress disorder in peacekeepers: a systematic literature review and meta-analysis
Carmona, L., Camilo, C., Carvalho, V. S., & Chambel, M. J. (2024) · European Journal of Psychotraumatology · doi:10.1080/20008066.2024.2413735 · Cited by 14
Bipp, T., Wee, S., Walczok, M., & Hansal, L. (2024) · Journal of Intelligence · doi:10.3390/jintelligence12120129 · Cited by 10
Arnold, L. S., Völkel, M., Rosendahl, J., & Rost, M. (2025) · Health Psychology and Behavioral Medicine · doi:10.1080/21642850.2025.2456032 · Cited by 10
The prevalence of placement breakdown in foster care: A meta-analysis
Eltink, E., Waaijenberg, A., Broers, M., van Anrooij, M., van Rooij, F. V., Stams, G., & Assink, M. (2025) · Children and youth services review · doi:10.1016/j.childyouth.2025.108203 · Cited by 11
Self-citationExercise Intolerance in Type 2 Diabetes: A Systematic Review and Meta‐Analysis
Anderson, K. C., Weeldreyer, N. R., Leicht, Z. S., Angadi, S. S., & Liu, Z. (2025) · Journal of the American Heart Association · doi:10.1161/jaha.124.035721 · Cited by 10
Li, X., Su, H., Du, L., Li, G., Lv, Y., Liu, X., Feng, L., & Yu, L. (2025) · Life · doi:10.3390/life15030438 · Cited by 11
Ren, F.-F., Chen, F., Zhou, W.-S., Tian, M.-Y., Li, R., Wang, D., Liang, W.-M., Yang, Y., & Chang, Y. (2025) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2025.105083 · Cited by 10
Head, Face, and Neck Cooling for Performance: A Systematic Review and Meta-Analysis
Stevens, C. J., Borg, D. N., Brade, C. J., Carter, S., Filingeri, D., LEE, J. K. W., Lim, L., Mündel, T., Taylor, L. K., & Tyler, C. J. (2025) · International Journal of Sports Physiology and Performance · doi:10.1123/ijspp.2024-0561 · Cited by 10
Napping and memory consolidation in early childhood: A systematic review and meta-analysis
Souabni, M., Souabni, M. J., Salem, A., Hammouda, O., Ammar, A., Saidi, O., Żmijewski, P., Jahrami, H., de Marco, G., Trabelsi, K., et al. (2025) · Sleep Medicine · doi:10.1016/j.sleep.2025.106649 · Cited by 14
Teaching and learning floating and sinking: A meta‐analysis
Schwichow, M., & Zoupidis, A. (2023) · Journal of Research in Science Teaching · doi:10.1002/tea.21909 · Cited by 10
Timing matters: A meta-analysis on the dynamic effect of stress on salivary immunoglobulin
Seizer, L., Stasielowicz, L., & Löchner, J. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2024.04.039 · Cited by 10
Parga, M. X. F., de Prado‐Gordillo, M. N., Álvarez-Iglesias, A., & Alonso‐Vega, J. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103444 · Cited by 10
Boderie, N. W., Mölenberg, F. J. M., Sheikh, A., Bramer, W. M., Alex Burdorf, A., van Lenthe, F. J., & Been, J. V. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-040167 · Cited by 10
Social determinants of health and epigenetic clocks: Meta-analysis of 140 studiesPreprint
Willems, Y. E., Rezaki, A. D., Aikins, M., Bahl, A., Wu, Q., Belsky, D. W., & Raffington, L. (2025) · medRxiv · doi:10.1101/2025.05.08.25327207 · Cited by 11
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
