Network meta-analysis in psychology and educational sciences: A systematic review of their characteristics
-
Published:2022-07-11
Issue:
Volume:
Page:
-
ISSN:1554-3528
-
Container-title:Behavior Research Methods
-
language:en
-
Short-container-title:Behav Res
Author:
Fernández-Castilla BelénORCID, Van den Noortgate Wim
Abstract
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.
Funder
KU Leuven Universidad Nacional de Educacion Distancia
Publisher
Springer Science and Business Media LLC
Subject
General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology
Reference106 articles.
1. Bafeta, A., Trinquart, L., Seror, R., & Ravaud, P. (2013). Analysis of the systematic reviews process in reports of network meta-analyses: Methodological systematic review. BMJ: British Medical Journal, 347, f3675. 2. *Bartl, G. J., Blackshaw, E., Crossman, M., Allen, P., & Sandrini, M. (2020). Systematic review and network meta-analysis of anodal tDCS effects on verbal episodic memory: Modeling heterogeneity of stimulation locations. Zeitschrift Für Psychologie, 228, 3–13. 3. *Belland, B. R., Walker, A. E., & Kim, N. J. (2017). A Bayesian network meta-analysis to synthesize the influence of contexts of scaffolding use on cognitive outcomes in STEM Education. Review of Educational Research, 87, 1042–1081. 4. *Benz, F., Knoop, T., Ballesio, A., Bacaro, V., Johann, A. F., Rücker, G., Feige, B., Riemann, D., & Baglioni, C. (2020). The efficacy of cognitive and behavior therapies for insomnia on daytime symptoms: A systematic review and network meta-analysis. Clinical Psychology Review, 80, 1–24. 5. *Bighelli, I., Salanti, G., Huhn, M., Schneider-Thoma, J., Krause, M., Reitmeir, C., Wallis, S., Schwermann, F., Pitschel-Walz, G., Barbui, C., Furukawa, T. A., & Leucht, S. (2018). Psychological interventions to reduce positive symptoms in schizophrenia: Systematic review and network meta-analysis: Psychological interventions to reduce positive symptoms in schizophrenia: Systematic review and network meta-analysis. World Psychiatry, 17, 316–329.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|