ERIC Number: EJ1282594
Record Type: Journal
Publication Date: 2021
Pages: 20
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0022-0973
EISSN: N/A
Detecting Selection Bias in Meta-Analyses with Multiple Outcomes: A Simulation Study
Fernández-Castilla, Belén; Declercq, Lies; Jamshidi, Laleh; Beretvas, S. Natasha; Onghena, Patrick; Van den Noortgate, Wim
Journal of Experimental Education, v89 n1 p125-144 2021
This study explores the performance of classical methods for detecting publication bias--namely, Egger's regression test, Funnel Plot test, Begg's Rank Correlation and Trim and Fill method--in meta-analysis of studies that report multiple effects. Publication bias, outcome reporting bias, and a combination of these were generated. Egger's regression test and the Funnel Plot test were extended to three-level models, and possible cutoffs for the estimator of the Trim and Fill method were explored. Furthermore, we checked whether the combination of results of several methods yielded a better control of Type I error rates. Results show that no method works well across all conditions and that performance depends mainly on the population effect size value and the total variance.
Descriptors: Statistical Bias, Meta Analysis, Publications, Regression (Statistics), Error of Measurement, Effect Size, Simulation
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A