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Reflections on Preregistration: Core Criteria, Badges, Complementary Workflows

  • Stanford University

Research output: Contribution to journalArticlepeer-review

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Abstract

Clinical trials are routinely preregistered. In psychology and the social sciences, however, only a small percentage of studies are preregistered, and those preregistrations often contain ambiguities. As advocates strive for broader uptake and effective use of preregistration, they can benefit from drawing on the experience of preregistration in clinical trials and adapting some of those successes to the psychology and social sciences context. We recommend that individuals and organizations who promote preregistration: (1) Establish core preregistration criteria required to consider a preregistration complete; (2) Award preregistered badges only to articles that meet the badge criteria; and (3) Leverage complementary workflows that provide a similar function as preregistration.
Original languageEnglish
Number of pages17
JournalJournal of Trial and Error
Volume2
Issue number1
DOIs
Publication statusPublished - 15 May 2023

Bibliographical note

Funding: Robert Thibault is supported by a general support grant awarded to METRICS from Arnold Ventures and a postdoctoral fellowship from the Canadian Institutes of Health Research. Marcus Munafo and Robert Thibault are part of the MRC Integrative Epidemiology Unit (MC_UU_00011/7). The funders have no role in the preparation of this manuscript or the decision to publish.

Copyright the Authors 2023. Authors retain copyright to the work, and agree to license the work under the Creative Commons Attribution 4.0 License, which allows others to access, remix, and share the work for any purpose, given that an acknowledgement of the initial publication in this journal and the author are present.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • blind data analysis
  • preregistration
  • prospective registration
  • badges
  • Open Science

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