Complementing the P-value from null-hypothesis significance testing with a Bayes factor from null-hypothesis Bayesian testing

descriptionPublicationkeyboard_double_arrow_right Article 16 Dec 2020 English Publisher:RCN Publishing Ltd.Journal:Nurse Researcher, volume 28, pages 41-48 (issn: 1351-5578, eissn: 2047-8992,

Copyright policy )Publicly funded

Authors: Helen Evelyn, Malone; Imelda, Coyne;

doi: 10.7748/nr.2020.e1756

pmid: 33150776

Complementing the P-value from null-hypothesis significance testing with a Bayes factor from null-hypothesis Bayesian testing

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Abstract

Classical frequentist statistics, including null-hypothesis significance testing (NHST), dominates nursing and medical research analysis. However, there is increasing recognition that null-hypothesis Bayesian testing (NHBT) merits inclusion in healthcare research analysis.To recommend that researchers complement the P-value from NHST with a Bayes factor from NHBT in their research analysis.Reporting the P-value and a Bayes factor clarifies results that may be difficult to interpret using the P-value alone.NHBT offers statistical and practical advantages that complement NHST.

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Trinity College Dublin
Ireland

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