Meta-analyses of educational research findings frequently involve statistically dependent effect size estimates. Meta-analysts have often addressed dependence issues using ad hoc approaches that involve modifying the data to conform to the …
In prevention science and related fields, large meta-analyses are common, and these analyses often involve dependent effect size estimates. Robust variance estimation (RVE) methods provide a way to include all dependent effect sizes in a single …
Having surveyed the history and methods of meta‐regression in a previous paper,1 in this paper we review which and how meta‐regression methods are applied in recent research syntheses. To do so, we reviewed studies published in 2016 across four …
At the beginning of the development of meta‐analysis, understanding the role of moderators was given the highest priority, with meta‐regression provided as a method for achieving this goal. Yet in current practice, meta‐regression is not as commonly …
Cluster-wild bootstrap for meta-regression
Meta-analyses often include studies that report multiple effect sizes based on a common pool of subjects or that report effect sizes from several samples that were treated with very similar research protocols. The inclusion of such studies introduces …