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Identification of and Correction for Publication Bias: Comment

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  • Kvarven, Amanda
  • Strømland, Eirik
  • Johannesson, Magnus

Abstract

Andrews & Kasy (2019) propose an approach for adjusting effect sizes in meta-analysis for publication bias. We use the Andrews-Kasy estimator to adjust the result of 15 meta-analyses and compare the adjusted results to 15 large-scale multiple labs replication studies estimating the same effects. The pre-registered replications provide precisely estimated effect sizes, which do not suffer from publication bias. The Andrews-Kasy approach leads to a moderate reduction of the inflated effect sizes in the meta-analyses. However, the approach still overestimates effect sizes by a factor of about two or more and has an estimated false positive rate of between 57% and 100%.

Suggested Citation

  • Kvarven, Amanda & Strømland, Eirik & Johannesson, Magnus, 2019. "Identification of and Correction for Publication Bias: Comment," MetaArXiv dh87m, Center for Open Science.
  • Handle: RePEc:osf:metaar:dh87m
    DOI: 10.31219/osf.io/dh87m
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    References listed on IDEAS

    as
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    2. Imai, Taisuke & Rutter, Tom & Camerer, Colin, 2019. "Meta-Analysis of Present-Bias Estimation Using Convex Time Budgets," Rationality and Competition Discussion Paper Series 168, CRC TRR 190 Rationality and Competition.
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    4. Jack Vevea & Larry Hedges, 1995. "A general linear model for estimating effect size in the presence of publication bias," Psychometrika, Springer;The Psychometric Society, vol. 60(3), pages 419-435, September.
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    7. Sebastian Gechert & Thomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2019. "Death to the Cobb-Douglas Production Function," FMM Working Paper 51-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
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