Robust variance estimation in meta‐regression with dependent effect size estimates

By L. Hedges, Elizabeth Tipton, Matthew C. Johnson. Research Synthesis Methods, 2010

1,826 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0f89ebc4d1822486a21b42c087bd5ded78c58e4a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Community-oriented policing to reduce crime, disorder and fear and increase satisfaction and legitimacy among citizens: a systematic review (2014, methodology): “While there are methods available for including all measures in the analysis (Hedges et al. 2010), we elected to prioritize outcomes for the purpose of this review, given the overall complexity of the intervention and inconsistency in measures across studies.”
Robust variance estimation with dependent effect sizes: practical considerations including a software tutorial in Stata and spss (2014, methodology): “Most importantly, although Hedges et al. (2010) offer two methods for weighting—correlated effects and hierarchical effects weights—in practice, a meta-analysis will have more complicated dependence structures.”
Multivariate meta-analysis for non-linear and other multi-parameter associations (2012, unknown): “Robust estimation to account for wrong correlation structures has been proposed for meta-regression of correlated outcomes [45], although further research is needed for this approach.”
Meta-Analysis of Action Video Game Impact on Perceptual, Attentional, and Cognitive Skills (2018, unknown): “…that provide qualitative descriptions of research studies rather than measures of effect size (Connolly, Boyle, MacArthur, Hainey, & Boyle, 2012; Hays, 2005; Honey & Hilton, 2011; Randel, Morris, Wetzel, & Whitehill, 1992; Tobias, Fletcher, & Bediou, 2015; Tobias, Fletcher, Bediou, Wind, &…”
Financial education in schools: A meta-analysis of experimental studies (2020, methodology): “Specifically, we estimate the mean of the distribution of true effects using “robust variance estimation in meta-regression with dependent effect size estimates (RVE)” (Hedges et al. 2010).”
The malleability of spatial skills: a meta-analysis of training studies. (2013, methodology): “As noted above, we implemented the Hedges et al. (2010a, 2010b) robust variance estimation model to address the nested nature of effect sizes.”
The Effects of Tier 2 Mathematics Interventions for Students With Mathematics Difficulties: A Meta-Analysis (2020, methodology): “As such, we used robust variance estimation (RVE; Hedges et al., 2010) to avoid problems with dependence between effect sizes.”