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Data · dataset · 2025

Opening Ceremony: Does Preregistration Improve the Interpretability and Credibility of Research Findings?

Listed in IISH Dataverse

It has been proposed that preregistration improves the interpretability and credibility of research findings.

Description

This talk presents a critical view of this proposal, focusing on the proposed benefits of preregistration vis-à-vis confirmatory and exploratory analyses; HARKing; motivated reasoning; overfitting; deviations from planned analyses; undisclosed multiple testing; p-hacking; the garden of forking paths; optional stopping; test severity; reporting null results; publication bias; and replication rates.

In conclusion, preregistration does not improve the interpretability and credibility of research findings when other open science practices are in place, including: (a) rationales for current hypotheses and analytical approaches; (b) publicly available research data, materials, and code; and (c) demonstrations of the robustness of research conclusions to alternative interpretations and analytical approaches

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Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
IISH Dataversedoi:10.34894/8C38XP10 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:othersource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
created_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
descriptionsource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/description
publication_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
titlesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/name
updated_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
version_labelsource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0