Robust variance estimation with dependent effect sizes: practical considerations including a software tutorial in Stata and spss

By E. Tanner‐Smith, Elizabeth Tipton. Research Synthesis Methods, 2014

548 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d137e2b16279dcf4465887719223085155a36ef3

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Citations in the corpus

Shared Book Reading Interventions With English Learners: A Meta-Analysis (2018, methodology): “Because these effect sizes were not stochastically independent, robust variance estimation was used to combine effect sizes across all studies and account for the dependency of effect sizes within studies (Hedges, Tipton, & Johnson, 2010; Tanner-Smith & Tipton, 2014).”
A Meta-Analysis of the Relation Between RAN and Mathematics (2017, methodology): “We used the robumeta application package (Fisher & Tipton, 2015) and the robust variance estimation (RVE) method (Hedges, Tipton, & Johnson, 2010; Tanner-Smith & Tipton, 2014) because there were several correlations from a single study and thus the data points were not independent.”
Teaching the control-of-variables strategy: A meta-analysis (2016, methodology): “Although we do not know the common correlation coefficient, simulation studies show that its impact to the metaregression is only marginal (Hedges et al., 2010; Tanner-Smith & Tipton, 2014).”
Small-Sample Adjustments for Tests of Moderators and Model Fit Using Robust Variance Estimation in Meta-Regression (2015, methodology): “The per-group sample size per study (nj) ranged from 32 to 130 and included the same values as in the second simulation from Tipton (2015). We chose to use a variable number of effect sizes per study and variable sample sizes in order to emulate conditions likely to be observed in practice as well a”
Digital Games, Design, and Learning (2016, methodology): “…of multiple effect sizes from the same study sample within any given meta-analysis— a common occurrence in meta-analyses in the educational and social sciences (e.g., Tanner-Smith & Tipton, 2014; Tanner-Smith, Wilson, & Lipsey, 2013; Wilson, Tanner-Smith, Lipsey, Steinka-Fry, & Morrison, 2011).”
The Effect of Principal Behaviors on Student, Teacher, and School Outcomes: A Systematic Review and Meta-Analysis of the Empirical Literature (2019, methodology): “7The robust variance estimation procedure (Tanner-Smith & Tipton, 2014) constructs weights as follows: w V kij j j= +( ) + −( )( ){ }1 1 12/ τ ρ , where Vj is the mean of the withinstudy sampling variances for study j, τ2 is the estimate of between-study variance, kj is the number of effect sizes…”
A Systematic Review and Meta-Analysis of Cyber-Victimization and Educational Outcomes for Adolescents (2017, background): “Per Tanner-Smith and Tipton (2013), the authors specified values of rho (the expected correlation amount dependent effects) ranging from 0 to 1 in”