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The multiplicity of analysis strategies jeopardizes replicability: Lessons learned across disciplines.
R. Soc. Open Sci. 8:201925 (2021)
For a given research question, there are usually a large variety of possible analysis strategies acceptable according to the scientific standards of the field, and there are concerns that this multiplicity of analysis strategies plays an important role in the non-replicability of research findings. Here, we define a general framework on common sources of uncertainty arising in computational analyses that lead to this multiplicity, and apply this framework within an overview of approaches proposed across disciplines to address the issue. Armed with this framework, and a set of recommendations derived therefrom, researchers will be able to recognize strategies applicable to their field and use them to generate findings more likely to be replicated in future studies, ultimately improving the credibility of the scientific process.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Replicability Crisis ; Uncertainty ; Open Science ; Interdisciplinary Perspective ; Metaresearch
ISSN (print) / ISBN
2054-5703
e-ISSN
2054-5703
Journal
Royal Society Open Science
Quellenangaben
Volume: 8,
Issue: 4,
Article Number: 201925
Publisher
Royal Society of London
Publishing Place
6-9 Carlton House Terrace, London Sw1y 5ag, England
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Epidemiology II (EPI2)
Grants
German Research Foundation (DFG)