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Things We Still Haven't Learned (So Far)
Centrum för Forskning om Välfärd, Hälsa och Idrott, Halmstad University, Halmstad, Sweden; Department of Psychology, Linnaeus University, Växjö, Sweden.
Centrum för Forskning om Välfärd, Hälsa och Idrott, Halmstad University, Halmstad, Sweden.
Umeå University, Faculty of Social Sciences, Department of Psychology.
Center of Research on Welfare, Health and Sport, Halmstad University, Halmstad, Sweden.
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2015 (English)In: Journal of Sport & Exercise Psychology (JSEP), ISSN 0895-2779, E-ISSN 1543-2904, Vol. 37, no 4, 449-461 p.Article in journal (Refereed) Published
Abstract [en]

Null hypothesis significance testing (NHST) is like an immortal horse that some researchers have been trying to beat to death for over 50 years but without any success. In this article we discuss the flaws in NHST, the historical background in relation to both Fisher's and Neyman and Pearson's statistical ideas, the common misunderstandings of what p < .05 actually means, and the 2010 APA publication manual's clear, but most often ignored, instructions to report effect sizes and to interpret what they all mean in the real world. In addition, we discuss how Bayesian statistics can be used to overcome some of the problems with NHST. We then analyze quantitative articles published over the past three years (2012-2014) in two top-rated sport and exercise psychology journals to determine whether we have learned what we should have learned decades ago about our use and meaningful interpretations of statistics.

Place, publisher, year, edition, pages
Human Kinetics, 2015. Vol. 37, no 4, 449-461 p.
Keyword [en]
effect sizes, interpretation of statistics, null hypothesis significance testing, real-world meaning
National Category
Sport and Fitness Sciences Applied Psychology
URN: urn:nbn:se:umu:diva-111513DOI: 10.1123/jsep.2015-0015ISI: 000363091900008PubMedID: 26442774OAI: diva2:874592
Available from: 2015-11-27 Created: 2015-11-13 Last updated: 2016-04-28Bibliographically approved

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Stenling, Andreas
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