Search
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Browse Sessions by Descriptor
Browse Papers by Descriptor
Browse Sessions by Research Method
Browse Papers by Research Method
Search Tips
Annual Meeting Housing and Travel
Personal Schedule
Change Preferences / Time Zone
Sign In
X (Twitter)
Summary effect size estimates from meta-analyses may be inflated, due to a combination of low statistical power in individual studies and a bias favouring reports with statistically significant results. This paper asks what methods meta-analysts of educational interventions employ in order to detect and adjust for small-study effects/publication bias, and whether current practice is sufficient to detect such biases. We collected and analysed data from meta-analyses of two selected types of interventions – flipped classrooms and cooperative/collaborative/team-based learning interventions. Findings reveal that most meta-analysts use two or fewer methods to detect or adjust for publication bias. None of a total of 51 meta-analyses utilised methods that model publication selection directly. Results from reanalysing study-level data from a subset of included meta-analyses are inconsistent and should be cautiously interpreted, but do seem to indicate at least some inflation.