Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.

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dc.citation.volume6
dc.contributor.authorPerezgonzalez JD
dc.date.available2015-03-03
dc.date.available2015-02-13
dc.date.issued2015
dc.description.abstractDespite frequent calls for the overhaul of null hypothesis significance testing (NHST), this controversial procedure remains ubiquitous in behavioral, social and biomedical teaching and research. Little change seems possible once the procedure becomes well ingrained in the minds and current practice of researchers; thus, the optimal opportunity for such change is at the time the procedure is taught, be this at undergraduate or at postgraduate levels. This paper presents a tutorial for the teaching of data testing procedures, often referred to as hypothesis testing theories. The first procedure introduced is Fisher's approach to data testing-tests of significance; the second is Neyman-Pearson's approach-tests of acceptance; the final procedure is the incongruent combination of the previous two theories into the current approach-NSHT. For those researchers sticking with the latter, two compromise solutions on how to improve NHST conclude the tutorial.
dc.description.publication-statusPublished
dc.format.extent? - ? (11)
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000350280300002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifierARTN 223
dc.identifier.citationFRONTIERS IN PSYCHOLOGY, 2015, 6 pp. ? - ? (11)
dc.identifier.doi10.3389/fpsyg.2015.00223
dc.identifier.elements-id223777
dc.identifier.harvestedMassey_Dark
dc.identifier.issn1664-1078
dc.identifier.urihttps://hdl.handle.net/10179/9569
dc.languageEnglish
dc.publisherFRONTIERS RESEARCH FOUNDATION
dc.relation.isPartOfFRONTIERS IN PSYCHOLOGY
dc.subjectSocial Sciences
dc.subjectPsychology, Multidisciplinary
dc.subjectPsychology
dc.subjecttest of significance
dc.subjecttest of statistical hypotheses
dc.subjectnull hypothesis significance testing
dc.subjectstatistical education
dc.subjectteaching statistics
dc.subjectNHST
dc.subjectFisher
dc.subjectNeyman-Pearson
dc.subjectP-VALUES
dc.subjectSTATISTICAL HYPOTHESES
dc.subjectPSYCHOLOGICAL-RESEARCH
dc.subjectLIKELIHOOD
dc.subjectKNOWLEDGE
dc.subjectLOGIC
dc.subject.anzsrc1701 Psychology
dc.subject.anzsrc1702 Cognitive Sciences
dc.titleFisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/Massey Business School
pubs.organisational-group/Massey University/Massey Business School/School of Aviation
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