Outlier and influence diagnostics for meta‐analysis

By W. Viechtbauer, Mike W.-L. Cheung. Research Synthesis Methods, 2010

2,517 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a2a386c8d2260a0702576e3f980c58f5e39b4ed5

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Citations in the corpus

Organizational Controls and Performance Outcomes: A Meta‐Analytic Assessment and Extension (2018, methodology): “While estimating the weighted mean effect sizes, we also checked for outliers and publication bias as both may affect the effect sizes obtained (Borenstein et al., 2009; Viechtbauer and Cheung, 2010).”
Debunking: A Meta-Analysis of the Psychological Efficacy of Messages Countering Misinformation (2017, methodology): “We followed the detection procedure proposed by Viechtbauer and Cheung (2010) to examine the influence of outliers with exceptionally large effect sizes (d > 5.50) of the misinformation and misinformation-persistence effects.”
A graphical tool for locating inconsistency in network meta-analyses (2013, methodology): “References [21,22] have discussed this for classical meta-analysis and [23] for network meta-analysis.”
Implementing Restricted Maximum Likelihood Estimation in Structural Equation Models (2013, methodology): “The same data set has been used in many papers illustrating meta-analytic techniques (e.g., Berkey, Hoaglin, Mosteller, & Colditz, 1995; Viechtbauer & Cheung, 2010).”
Meta-analysis Reveals Different Competition Effects on Tree Growth Resistance and Resilience to Drought (2021, methodology): “The meta-analysis was computed using the package Metafor (Viechtbauer 2010) for the R statistical framework (R Core Team 2019).”
Domain-specific prior knowledge and learning: A meta-analysis (2021, methodology): “We identified outlier effect sizes through Cook’s values (Cook & Weisberg, 1982; Viechtbauer & Cheung, 2010) using the metafor package (Viechtbauer, 2010) in R (R Core Team, 2014).”
The Categorical Perception Deficit in Dyslexia: A Meta-Analysis (2015, methodology): “To further explore heterogeneity, sensitivity analyses were performed to evaluate the stability of the overall effect size and to determine the impact of possible outliers (Viechtbauer & Cheung, 2010).”
A Meta-Analysis of Morphological Interventions in English: Effects on Literacy Outcomes for School-Age Children (2013, background): “Under the 5We eliminated two effect sizes (one from Nunes, Bryant, & Olsson, 2003, and the other from the second study in Bryant et al., 2006) bigger than |2.00|, as we considered them outliers, which would threaten the normality of effect-size distribution (Viechtbauer & Cheung, 2010).”
The effects of imagery interventions in sports: a meta-analysis (2020, methodology): “Based on the examination of studentized deleted residuals, DFFITS values, Cook’s distances, and COVRATIO values (for more details see Viechtbauer & Cheung, 2010), we removed two effect sizes out of one study (Afrouzeh et al., 2015).”
The trim-and-fill method for publication bias: practical guidelines and recommendations based on a large database of meta-analyses (2019, methodology): “The outlying studies were identified using the diagnostics proposed by Viechtbauer and Cheung[42] under the random-effects setting.”
ADHD prevalence estimates across three decades: an updated systematic review and meta-regression analysis. (2013, methodology): “Outlier and influential case diagnostics were performed using the externally standardized residuals, DFFITS values, Cook’s distances, covariance ratios, leave-one-out estimates of the amount of heterogeneity, leave-one-out heterogeneity test statistics, hat values and weights.(13) The analysis and g”
The relationship between materialism and personal well-being: A meta-analysis. (2014, neutral): “3.45, p $ .001, and the 15 Our first step was to examine outliers, computing several indices of how much each study deviated from the average, and look at the effect of deleting that study on the results (Viechtbauer & Cheung, 2010).”
A bi-factor theory of the four-factor model of cultural intelligence: Meta-analysis and theoretical extensions (2018, methodology): “Following Viechtbauer and Cheung (2010), we also screened correlations using multiple outlier and influential case diagnostics, including (a) externally standardized residuals, (b) DFFITS values, (c) Cook’s distances, (d) covariance ratios, (e) leave-one-out estimates of heterogeneity, (f) hat…”
Can we really reduce ethnic prejudice outside the lab? A meta‐analysis of direct and indirect contact interventions (2015, methodology): “Three7 of the included comparisons had an absolute externally standardized residual (2.58, 2.33, 2.23) larger than 1.96 and could therefore be regarded as potential outliers (see Viechtbauer & Cheung, 2010).”