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dc.contributor.authorCrüwell, Sophia
dc.contributor.authorEvans, Nathan J
dc.date.accessioned2021-11-22T14:47:43Z
dc.date.available2021-11-22T14:47:43Z
dc.date.issued2021-10
dc.identifier.issn2054-5703
dc.identifier.otherPMC8511762
dc.identifier.other34659776
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/330909
dc.description.abstractIn recent years, open science practices have become increasingly popular in psychology and related sciences. These practices aim to increase rigour and transparency in science as a potential response to the challenges posed by the replication crisis. Many of these reforms-including the increasingly used preregistration-have been designed for purely experimental work that tests straightforward hypotheses with standard inferential statistical analyses, such as assessing whether an experimental manipulation has an effect on a variable of interest. But psychology is a diverse field of research. The somewhat narrow focus of the prevalent discussions surrounding and templates for preregistration has led to debates on how appropriate these reforms are for areas of research with more diverse hypotheses and more intricate methods of analysis, such as cognitive modelling research within mathematical psychology. Our article attempts to bridge the gap between open science and mathematical psychology, focusing on the type of cognitive modelling that Crüwell et al. (Crüwell S, Stefan AM, Evans NJ. 2019 Robust standards in cognitive science. Comput. Brain Behav. 2, 255-265) labelled model application, where researchers apply a cognitive model as a measurement tool to test hypotheses about parameters of the cognitive model. Specifically, we (i) discuss several potential researcher degrees of freedom within model application, (ii) provide the first preregistration template for model application and (iii) provide an example of a preregistered model application using our preregistration template. More broadly, we hope that our discussions and concrete proposals constructively advance the mostly abstract current debate surrounding preregistration in cognitive modelling, and provide a guide for how preregistration templates may be developed in other diverse or intricate research contexts.
dc.languageeng
dc.publisherThe Royal Society
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceessn: 2054-5703
dc.sourcenlmid: 101647528
dc.subjectReproducibility
dc.subjectTransparency
dc.subjectOpen Science
dc.subjectPreregistration
dc.subjectCognitive Modelling
dc.titlePreregistration in diverse contexts: a preregistration template for the application of cognitive models.
dc.typeArticle
dc.date.updated2021-11-22T14:47:42Z
prism.issueIdentifier10
prism.publicationNameR Soc Open Sci
prism.volume8
dc.identifier.doi10.17863/CAM.78352
dcterms.dateAccepted2021-08-16
rioxxterms.versionofrecord10.1098/rsos.210155
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidCrüwell, Sophia [0000-0003-4178-5820]
dc.identifier.eissn2054-5703
cam.issuedOnline2021-10-13


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International