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REACT to NHST: Sensible conclusions for meaningful hypotheses [PDF]
The Quantitative Methods for PsychologyWhile Null Hypothesis Significance Testing (NHST) remains a widely used statistical tool, it suffers from several shortcomings in its common usage, such as conflating statistical and practical significance, the formulation of inappropriate null ...
Rafael Bassi Stern +2 more
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Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing
Frontiers in Psychology, 2015 Despite frequent calls for the overhaul of null hypothesis significance testing (NHST), this controversial procedure remains ubiquitous in behavioral, social and biomedical teaching and research.
José D Perezgonzalez
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Reflections Concerning Recent Ban on NHST and Confidence Intervals [Letter to the Editor] [PDF]
Journal of Modern Applied Statistical Methods, 2016 This letter addresses some of the immediate consequences of Basic and Applied Social Psychology’s (BASP) ban on null hypothesis significance testing (NHST) and confidence intervals.
Grayson L. Baird, Sunny R. Duerr
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Statistical and Mathematical Modeling versus NHST? There’s No Competition! [PDF]
Journal of Modern Applied Statistical Methods, 2010 Some of Robinson & Levin’s critique of Rodgers (2010) is cogent, helpful, and insightful – although limiting. Recent methodology has advanced through the development of structural equation modeling, multi-level modeling, missing data methods ...
Joe Rodgers
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NHST is still logically flawed [PDF]
Scientometrics, 2018 In this elaborate response to Wu (in Scientometrics, 2018), I maintain that null hypothesis significance testing (NHST) is logically flawed. Wu (2018) disagrees with this claim presented in Schneider (in Scientometrics 102(1):411–432, 2015). In this response, I examine the claim in more depth and demonstrate that since NHST is based on one conditional ...
Jesper Wiborg Schneider
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Current controversies: Null hypothesis significance testing [PDF]
Acta Obstetricia et Gynecologica Scandinavica, 2022 Traditional null hypothesis significance testing (NHST) incorporating the critical level of significance of 0.05 has become the cornerstone of decision‐making in health care, and nowhere less so than in obstetric and gynecological research. However, such
Philip M. Sedgwick +3 more
doaj +2 more sources
Response to commentary on “Is NHST logically flawed” [PDF]
Scientometrics, 2018 Jesper Wiborg Schneider
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Why we habitually engage in null-hypothesis significance testing: A qualitative study.
PLoS ONE, 2021 BackgroundNull Hypothesis Significance Testing (NHST) is the most familiar statistical procedure for making inferences about population effects. Important problems associated with this method have been addressed and various alternatives that overcome ...
Jonah Stunt +5 more
doaj +2 more sources
Play vs. P-Values : Using distribution overlap as a tool to teach significant differences between groups [PDF]
Tutorials in Quantitative Methods for Psychology, 2022 Mean comparisons can be an abstract concept for students when they first encounter it in the classroom. Students must grasp not only the notions underlying the comparison but also the concepts surrounding inference.
Fournier, Bernard, Harding, Bradley
doaj +1 more source
Morten Møst: Kroner og røre. Historien om NHST og Dagens Næringsliv. [PDF]
Norsk Medietidsskrift, 2015 Hans Fredrik Dahl
doaj +4 more sources