Small sample adjustments for robust variance estimation with meta-regression.

By Elizabeth Tipton. Psychological methods, 2015

667 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Geometry and Topology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/21c78531c7c8a195f90b99f91b90a2f383739244

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Citations in the corpus

A Guide to Conducting a Meta-Analysis with Non-Independent Effect Sizes (2019, background): “Alternatively, the robust variance estimation (Hedges et al., 2010; Tipton, 2015) can also be applied to effect sizes with correlated sampling errors where the sampling covariances are not available.”
The Effects of Tier 2 Mathematics Interventions for Students With Mathematics Difficulties: A Meta-Analysis (2020, methodology): “We included a small-sample bias correction that adjusted for both the degrees of freedom and the residuals when estimating the coefficients to avoid Type 1 error (Tipton, 2015).”
Effectiveness of spelling interventions for learners with dyslexia: A meta-analysis and systematic review (2020, methodology): “We used the packages compute.es (Del Re, 2013), robumeta (Fisher & Tipton, 2015), metafor (Viechtbauer, 2010), clubSandwich (Pustejovsky, 2016) and the Shiny application weightr that implements the weight function model published by Vevea and Woods (2005).”
Quantitative syntheses of the effects of administrative segregation on inmates’ well-being. (2016, methodology): “Given that several studies reported multiple effects for the same construct, robust variance estimation (RVE) was employed (see Hedges, Tipton, & Johnson, 2010; Tipton, 2015).”
Influencing Climate Change Attitudes in the United States: A Systematic Review and Meta-Analysis (2020, methodology): “80, but sensitivity tested correlations of 0 and 1 and report whenever the pattern of results changes among these assumptions (although results tend to be robust to this correlation assumption; Hedges et al., 2010; Tipton, 2015).”
The Testing Effect in the Psychology Classroom: A Meta-Analytic Perspective (2017, methodology): “Second, a robust variance estimation (RVE) in the form of a meta-regression implemented in the Robumeta package (Fisher & Tipton, 2015) in R was computed to inspect and correct for the influence of dependent effect sizes in the random-effects and mixed-effects models.”
A Synthesis of Quantitative Research on Programs for Struggling Readers in Elementary Schools (2021, background): “𝑗 is the average finding-level variance for study j, and 𝜏2 is the between-study variance in the studyaverage effect sizes (Hedges et al., 2010; Tipton, 2015).”
Meta-Analysis of Action Video Game Impact on Perceptual, Attentional, and Cognitive Skills (2018, methodology): “Toaccount for the hierarchical structure of our data set, robust variance estimation (Hedges, Tipton, & Johnson, 2010) with hierarchical weights and small sample corrections (Tipton, 2015; Tip-ton & Pustejovsky, 2015) were used throughout.”
Does Burnout Affect Academic Achievement? A Meta-Analysis of over 100,000 Students (2020, methodology): “Inverse variance weighted random-effects meta-analyses with Hedges et al’s (2010) robust standard error estimation were conducted using the robumeta package in R (Fisher & Tipton, 2015; see also Agadullina & Lovakov, 2018).”
Achievement Motivation and Academic Dishonesty: A Meta-Analytic Investigation (2020, methodology): “For hypothesis testing, we also used smallsample adjustments for t tests (Tipton 2015).”
Social Value Orientation, Expectations, and Cooperation in Social Dilemmas: A Meta–Analysis (2018, methodology): “For these moderation analyses, we employ Robust Variance Estimation (RVE), a random-effects meta-regression that can account for dependent effect sizes (Hedges, Tipton, & Johnson, 2010), even when only a small number of studies are included (Tipton, 2015).”