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Recommendations for statistical analysis involving null hypothesis significance testing

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posted on 2021-01-14, 11:37 authored by Andrew J. Harrison, Stuart A. McErlain-Naylor, Elizabeth J. Bradshaw, Boyi Dai, Hiroyuki Nunome, Gerwyn T.G. Hughes, Pui W. Kong, Benedicte Vanwanseele, J. Paulo Vilas-Boas, Daniel T.P. Fong
The peer review process of original research articles generally requires authors/researchers to adopt accepted scientific methods, identify testable hypotheses and test those hypotheses using appropriate and established statistical methods. In Sports Biomechanics, authors are encouraged to submit original research articles that conform to these norms. Despite widespread use, null hypothesis significance testing (NHST) has received criticism on various counts, especially when there is a reliance on p-values alone (as defined below) for NHST. The p-value combines sample size, variance and differences in values within the calculation but its meaning is somewhat subtle and difficult to communicate in non-technical language, leading to over-simplification, distortions of its meaning and misinterpretation.

History

Publication

Sports Biomechanics;19 (5), pp. 561-568

Publisher

Taylor and Francis

Note

peer-reviewed

Rights

This is an Author's Accepted Manuscript of an article whose final and definitive form, the Version of Record, has been published in Sports Biomechanics 2020 copyright Taylor & Francis, available online at:https://doi.org/10.1080/14763141.2020.1782555

Language

English

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