Do pre-registration and pre-analysis plans reduce P-hacking and publication bias?

Abel Brodeur, Nikolai Cook, Jonathan Hartley, Anthony Heyes

Research output: Working paper/PreprintPreprint

Abstract

Randomized controlled trials (RCTs) are increasingly prominent in economics, with pre-registration and pre-analysis plans (PAPs) promoted as important in ensuring the credibility of findings. We investigate whether these tools reduce the extent of p-hacking and publication bias by collecting and studying the universe of test statistics, 15,992 in total, from RCTs published in 15 leading economics journals from 2018 through 2021. In our primary analysis, we find no meaningful difference in the distribution of test statistics from pre-registered studies, compared to their non-pre-registered counterparts. However, pre-registered studies that have a complete PAP are significantly less p-hacked. These results point to the importance of PAPs, rather than pre-registration in itself, in ensuring credibility.
Original languageEnglish
PublisherSSRN
DOIs
Publication statusPublished - 16 Dec 2022

Keywords

  • Pre-analysis Plan
  • Pre-registration
  • p-Hacking
  • Publication Bias
  • Research Credibility

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