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Network meta‑analysis in psychology and educational sciences: A systematic review of their characteristics

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dc.contributor.authorFernández Castilla, Belén
dc.contributor.authorNoortgate, Wim Van Den
dc.date.accessioned2026-03-24T12:38:51Z
dc.date.available2026-03-24T12:38:51Z
dc.date.issued2022-07-11
dc.descriptionThis is the accepted manuscript of the article. The registered version was first published in Behavior and Research Methods, 55, 2093-2108, is available online at the publisher's website: https://doi.org/10.3758/s13428-022-01905-5
dc.descriptionEste es el manuscrito aceptado del artículo. La versión registrada fue publicada por primera vez en Behavior and Research Methods, 55, 2093-2108, está disponible en línea en el sitio web del editor: https://doi.org/10.3758/s13428-022-01905-5
dc.description.abstractNetwork meta-analysis (NMA) allows the combination of evidence on the effectiveness of several interventions. NMA has mainly been applied in the medical science field, whereas in the domain of psychology and educational sciences its use is less frequent. Consequently, systematic reviews that describe the characteristics of published NMAs are limited to the field of medicine, and nothing is known about the characteristics of NMAs published in the psychology and educational sciences field. However, this information is still relevant for the design of future simulation studies and for detecting good and bad research practices. Thus, this study describes the features of the meta-analytic datasets of NMAs published in the field of psychology and educational sciences, as well as their methodological characteristics, and compares them to those observed in the medical domain. Results show that the number of studies included is larger in NMAs from psychology and educational sciences, the most commonly used effect size is the standardized mean difference (unlike the odds ratio in medicine), the sample size is smaller, more intervention groups are included, and inconsistent effects are observed more often. These results can be used in future simulation studies to generate realistic datasets. Finally, we warn about the poor quality of reporting of some technical aspects of the NMA, such as the statistical model used.en
dc.description.provenanceMade available in DSpace on 2026-03-24T12:38:51Z (GMT). No. of bitstreams: 1 ACCEPTED_220405_Manuscript_BRM_FINAL_BELEN FERNANDEZ CASTILLA.pdf: 673286 bytes, checksum: 1d261e98d638e4dc63618c7a36f212fb (MD5) Previous issue date: 2022-07-11en
dc.description.sponsorshipOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This research has been supported by KU Leuven University, through Grant PDM/20/054.en
dc.description.versionversión final
dc.identifier.doihttps://doi.org/10.3758/s13428-022-01905-5
dc.identifier.eissn1554-3528
dc.identifier.issn1554-351X
dc.identifier.urihttps://hdl.handle.net/20.500.14468/32185
dc.journal.titleBehavior Research Methods
dc.journal.volume55
dc.language.isoen
dc.page.final2108
dc.page.initial2093
dc.publisherSpringer
dc.relation.centerFacultad de Psicología
dc.relation.departmentMetodología de las Ciencias del Comportamiento
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject61 Psicología
dc.subject.keywordssystematic reviewen
dc.subject.keywordsnetwork meta-analysisen
dc.subject.keywordspsychology and educational sciencesen
dc.titleNetwork meta‑analysis in psychology and educational sciences: A systematic review of their characteristicsen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery0381c7f8-c166-46fe-a63c-86bdb08853d3
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