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The Need for Nuance in the Null Hypothesis Significance Testing Debate

Olle Häggström (Institutionen för matematiska vetenskaper, Tillämpad matematik och statistik)
Educational and Psychological Measurement (0013-1644). Vol. 77 (2017), 4, p. 616-630.
[Artikel, refereegranskad vetenskaplig]

Null hypothesis significance testing (NHST) provides an important statistical toolbox, but there are a number of ways in which it is often abused and misinterpreted, with bad consequences for the reliability and progress of science. Parts of contemporary NHST debate, especially in the psychological sciences, is reviewed, and a suggestion is made that a new distinction between strongly, weakly, and very weakly anti-NHST positions is likely to bring added clarity to the debate.

Nyckelord: hypothesis testing, p value, statistics



Denna post skapades 2017-08-11. Senast ändrad 2017-08-11.
CPL Pubid: 251052

 

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Institutioner (Chalmers)

Institutionen för matematiska vetenskaper, Tillämpad matematik och statistikInstitutionen för matematiska vetenskaper, Tillämpad matematik och statistik (GU)

Ämnesområden

Matematik

Chalmers infrastruktur