Null hypothesis significance testing: a guide to commonly misunderstood concepts and recommendations for good practice

Cyril Pernet

doi:https://doi.org/10.12688/f1000research.6963.4

doi.org/10.12688/f1000research.6963.4

Null hypothesis significance testing: a guide to commonly misunderstood concepts and recommendations for good practice

Cyril Pernet

36

F1000Research

Volume: 4, Pages: 621 - 621

Published: Sep 26, 2017

Abstract

Although thoroughly criticized, null hypothesis significance testing (NHST) remains the statistical method of choice used to provide evidence for an effect, in biological, biomedical and social sciences. In this short guide, I first summarize the concepts behind the method, distinguishing test of significance (Fisher) and test of acceptance (Newman-Pearson) and point to common interpretation errors regarding the p-value. I then present...

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Paper Details

Title

Null hypothesis significance testing: a guide to commonly misunderstood concepts and recommendations for good practice

DOI

doi.org/10.12688/f1000research.6963.4

Published Date

Sep 26, 2017

Journal

F1000Research

Volume

4

Pages

621 - 621

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