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dc.contributor.authorByrne, Richard W.
dc.date.accessioned2021-12-23T17:30:11Z
dc.date.available2021-12-23T17:30:11Z
dc.date.issued2021-11-01
dc.identifier.citationByrne , R W 2021 , ' In defense of fishing ' , Journal of Methods and Measurement in the Social Sciences , vol. 12 , no. 1 , pp. 42-44 . https://doi.org/10.2458/jmmss.3063en
dc.identifier.issn2159-7855
dc.identifier.otherPURE: 277073154
dc.identifier.otherPURE UUID: 56a4061b-4039-4c20-94c0-6bb007e3fd03
dc.identifier.otherORCID: /0000-0001-9862-9373/work/105006821
dc.identifier.urihttps://hdl.handle.net/10023/24580
dc.description.abstractUsing an example from animal cognition, I argue that the problems of bias—inherent in choosing null hypotheses or setting Bayesian priors—can sometimes be avoided altogether by collecting more and better observational data before setting up tests of any sort.
dc.format.extent3
dc.language.isoeng
dc.relation.ispartofJournal of Methods and Measurement in the Social Sciencesen
dc.rightsCopyright © The Author. Open Access. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.en
dc.subjectHA Statisticsen
dc.subjectT-NDASen
dc.subjectNISen
dc.subject.lccHAen
dc.titleIn defense of fishingen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Psychology and Neuroscienceen
dc.identifier.doihttps://doi.org/10.2458/jmmss.3063
dc.description.statusPeer revieweden


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