Meta‐regression approximations to reduce publication selection bias

By T. Stanley, Hristos Doucouliagos. Research Synthesis Methods, 2014

791 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/fb818de3fdade837e9a19128e45f8ef502499698

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Citations in the corpus

Mathematics Interventions for Upper Elementary and Secondary Students: A Meta-Analysis of Research (2018, positive): “To inspect for the presence of publication bias, we used weighted meta-regression correction method to estimate an empirical pooled effect size adjusted for small study-effects (Stanley & Doucouliagos, 2014).”
Meta-Analysis of Action Video Game Impact on Perceptual, Attentional, and Cognitive Skills (2018, methodology): “To address this concern, we also present a new method known as the PET-PEESE - for Precision Effect Test (Sterne & Egger, 2005) and Precision-Effect Estimate with Standard Error (Stanley & Doucouliagos, 2014).”
The effectiveness of active labour market policies: A meta-analysis (2019, positive): “These standardized effect sizes allow for a comparison between the different types of ALMPs in a meta-regression model, while controlling for study-specific characteristics (after Stanley and Doucouliagos, 2014).”
The Power of Bias in Economics Research (2017, methodology): “…a very conservative approach to calculating power, because WLS-FE is known to be exaggerated when there is some type of reporting bias, but its bias is less than the unweighted average of the reported effects or the random-effects weighted average (Stanley, 2008; Stanley and Doucouliagos, 2014).”
Meta-analysis of faculty's teaching effectiveness: Student evaluation of teaching ratings and student learning are not related (2017, methodology): “It is widely recognized that the issue of small study size bias often arising from a publication selection bias is a serious and common problem invalidating many meta-analyses (Rücker et al., 2011; Stanley & Doucouliagos, 2014).”
Near and Far Transfer in Cognitive Training: A Second-Order Meta-Analysis (2019, methodology): “First, we used the “precision effect test” (PET) and the “precision-effect estimate with standard error” (PEESE; Stanley & Doucouliagos, 2014).”
Loneliness and the Big Five Personality Traits: A Meta–Analysis (2020, methodology): “…plots (Peters, Sutton, Jones, Abrams, & Rushton, 2008), Egger’s regression tests (Egger, Smith, Schneider, & Minder, 1997), trim-and-fill analyses (Duval & Tweedie, 2000), precision effect test (PET), and the precision effect estimate with standard errors (PEESE; Stanley & Doucouliagos, 2014).”
Re-examining the Experiential Advantage in Consumption: A Meta-Analysis and Review (2020, methodology): “Second, we ran PET-PEESE as a different method to examine what the effect size would be once controlling for publication bias (Stanley 2008; Stanley and Doucouliagos 2014; see also Gervais 2015).”