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

Network 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 describ...

Descripción completa

Detalles Bibliográficos
Autores: Fernández Castilla, Belén, Noortgate, Wim Van Den
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad Nacional de Educación a Distancia
Repositorio:e-spacio. Repositorio Institucional de la UNED
Idioma:inglés
OAI Identifier:oai:dnet:espacio_____::91c307f236b8aa8b3d84ae61202f3ce5
Acceso en línea:https://hdl.handle.net/20.500.14468/32185
Access Level:acceso abierto
Palabra clave:61 Psicología
systematic review
network meta-analysis
psychology and educational sciences
id ES_f28c62cb993092c74ae69c39fd2f2ffa
oai_identifier_str oai:dnet:espacio_____::91c307f236b8aa8b3d84ae61202f3ce5
network_acronym_str ES
network_name_str España
repository_id_str
spelling Network meta‑analysis in psychology and educational sciences: A systematic review of their characteristicsFernández Castilla, BelénNoortgate, Wim Van Den61 Psicologíasystematic reviewnetwork meta-analysispsychology and educational sciencesNetwork 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.Springere-Spacio UNED20262026-03-2420222022-07-1120222022-07-11journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14468/32185reponame:e-spacio. Repositorio Institucional de la UNEDinstname:Universidad Nacional de Educación a DistanciaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.esoai:dnet:espacio_____::91c307f236b8aa8b3d84ae61202f3ce52026-06-06T12:38:31Z
dc.title.none.fl_str_mv Network meta‑analysis in psychology and educational sciences: A systematic review of their characteristics
title Network meta‑analysis in psychology and educational sciences: A systematic review of their characteristics
spellingShingle Network meta‑analysis in psychology and educational sciences: A systematic review of their characteristics
Fernández Castilla, Belén
61 Psicología
systematic review
network meta-analysis
psychology and educational sciences
title_short Network meta‑analysis in psychology and educational sciences: A systematic review of their characteristics
title_full Network meta‑analysis in psychology and educational sciences: A systematic review of their characteristics
title_fullStr Network meta‑analysis in psychology and educational sciences: A systematic review of their characteristics
title_full_unstemmed Network meta‑analysis in psychology and educational sciences: A systematic review of their characteristics
title_sort Network meta‑analysis in psychology and educational sciences: A systematic review of their characteristics
dc.creator.none.fl_str_mv Fernández Castilla, Belén
Noortgate, Wim Van Den
author Fernández Castilla, Belén
author_facet Fernández Castilla, Belén
Noortgate, Wim Van Den
author_role author
author2 Noortgate, Wim Van Den
author2_role author
dc.contributor.none.fl_str_mv e-Spacio UNED
dc.subject.none.fl_str_mv 61 Psicología
systematic review
network meta-analysis
psychology and educational sciences
topic 61 Psicología
systematic review
network meta-analysis
psychology and educational sciences
description Network 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.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-07-11
2022
2022-07-11
2026
2026-03-24
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14468/32185
url https://hdl.handle.net/20.500.14468/32185
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
http://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:e-spacio. Repositorio Institucional de la UNED
instname:Universidad Nacional de Educación a Distancia
instname_str Universidad Nacional de Educación a Distancia
reponame_str e-spacio. Repositorio Institucional de la UNED
collection e-spacio. Repositorio Institucional de la UNED
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869424290996158464
score 15.812429

Similares en LA Referencia