Ensuring the quality and specificity of preregistrations.

Researchers face many, often seemingly arbitrary, choices in formulating hypotheses, designing protocols, collecting data, analyzing data, and reporting results. Opportunistic use of "researcher degrees of freedom" aimed at obtaining statistical significance increases the likelihood of obt...

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Main Authors: Marjan Bakker, Coosje L S Veldkamp, Marcel A L M van Assen, Elise A V Crompvoets, How Hwee Ong, Brian A Nosek, Courtney K Soderberg, David Mellor, Jelte M Wicherts
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-12-01
Series:PLoS Biology
Online Access:https://doi.org/10.1371/journal.pbio.3000937
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author Marjan Bakker
Coosje L S Veldkamp
Marcel A L M van Assen
Elise A V Crompvoets
How Hwee Ong
Brian A Nosek
Courtney K Soderberg
David Mellor
Jelte M Wicherts
author_facet Marjan Bakker
Coosje L S Veldkamp
Marcel A L M van Assen
Elise A V Crompvoets
How Hwee Ong
Brian A Nosek
Courtney K Soderberg
David Mellor
Jelte M Wicherts
author_sort Marjan Bakker
collection DOAJ
description Researchers face many, often seemingly arbitrary, choices in formulating hypotheses, designing protocols, collecting data, analyzing data, and reporting results. Opportunistic use of "researcher degrees of freedom" aimed at obtaining statistical significance increases the likelihood of obtaining and publishing false-positive results and overestimated effect sizes. Preregistration is a mechanism for reducing such degrees of freedom by specifying designs and analysis plans before observing the research outcomes. The effectiveness of preregistration may depend, in part, on whether the process facilitates sufficiently specific articulation of such plans. In this preregistered study, we compared 2 formats of preregistration available on the OSF: Standard Pre-Data Collection Registration and Prereg Challenge Registration (now called "OSF Preregistration," http://osf.io/prereg/). The Prereg Challenge format was a "structured" workflow with detailed instructions and an independent review to confirm completeness; the "Standard" format was "unstructured" with minimal direct guidance to give researchers flexibility for what to prespecify. Results of comparing random samples of 53 preregistrations from each format indicate that the "structured" format restricted the opportunistic use of researcher degrees of freedom better (Cliff's Delta = 0.49) than the "unstructured" format, but neither eliminated all researcher degrees of freedom. We also observed very low concordance among coders about the number of hypotheses (14%), indicating that they are often not clearly stated. We conclude that effective preregistration is challenging, and registration formats that provide effective guidance may improve the quality of research.
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spelling doaj.art-3217826dd20f48eb893d886d6934e2fa2022-12-21T19:20:30ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852020-12-011812e300093710.1371/journal.pbio.3000937Ensuring the quality and specificity of preregistrations.Marjan BakkerCoosje L S VeldkampMarcel A L M van AssenElise A V CrompvoetsHow Hwee OngBrian A NosekCourtney K SoderbergDavid MellorJelte M WichertsResearchers face many, often seemingly arbitrary, choices in formulating hypotheses, designing protocols, collecting data, analyzing data, and reporting results. Opportunistic use of "researcher degrees of freedom" aimed at obtaining statistical significance increases the likelihood of obtaining and publishing false-positive results and overestimated effect sizes. Preregistration is a mechanism for reducing such degrees of freedom by specifying designs and analysis plans before observing the research outcomes. The effectiveness of preregistration may depend, in part, on whether the process facilitates sufficiently specific articulation of such plans. In this preregistered study, we compared 2 formats of preregistration available on the OSF: Standard Pre-Data Collection Registration and Prereg Challenge Registration (now called "OSF Preregistration," http://osf.io/prereg/). The Prereg Challenge format was a "structured" workflow with detailed instructions and an independent review to confirm completeness; the "Standard" format was "unstructured" with minimal direct guidance to give researchers flexibility for what to prespecify. Results of comparing random samples of 53 preregistrations from each format indicate that the "structured" format restricted the opportunistic use of researcher degrees of freedom better (Cliff's Delta = 0.49) than the "unstructured" format, but neither eliminated all researcher degrees of freedom. We also observed very low concordance among coders about the number of hypotheses (14%), indicating that they are often not clearly stated. We conclude that effective preregistration is challenging, and registration formats that provide effective guidance may improve the quality of research.https://doi.org/10.1371/journal.pbio.3000937
spellingShingle Marjan Bakker
Coosje L S Veldkamp
Marcel A L M van Assen
Elise A V Crompvoets
How Hwee Ong
Brian A Nosek
Courtney K Soderberg
David Mellor
Jelte M Wicherts
Ensuring the quality and specificity of preregistrations.
PLoS Biology
title Ensuring the quality and specificity of preregistrations.
title_full Ensuring the quality and specificity of preregistrations.
title_fullStr Ensuring the quality and specificity of preregistrations.
title_full_unstemmed Ensuring the quality and specificity of preregistrations.
title_short Ensuring the quality and specificity of preregistrations.
title_sort ensuring the quality and specificity of preregistrations
url https://doi.org/10.1371/journal.pbio.3000937
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