Scientific self-correction: the Bayesian way

Felipe Romero*, Jan Sprenger

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

1 Citaat (Scopus)
2 Downloads (Pure)


The enduring replication crisis in many scientific disciplines casts doubt on the ability of science to estimate effect sizes accurately, and in a wider sense, to self-correct its findings and to produce reliable knowledge. We investigate the merits of a particular countermeasure-replacing null hypothesis significance testing (NHST) with Bayesian inference-in the context of the meta-analytic aggregation of effect sizes. In particular, we elaborate on the advantages of this Bayesian reform proposal under conditions of publication bias and other methodological imperfections that are typical of experimental research in the behavioral sciences. Moving to Bayesian statistics would not solve the replication crisis single-handedly. However, the move would eliminate important sources of effect size overestimation for the conditions we study.

Originele taal-2English
Pagina's (van-tot)5803–5823
Aantal pagina's21
Vroegere onlinedatum29-jun-2020
StatusPublished - 2021

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