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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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 W Schneider, Schneider Jesper W
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REACT to NHST: Sensible conclusions for meaningful hypotheses [PDF]
Tutorials in 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 ...
Izbicki, Rafael +5 more
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There are no alternative hypotheses in tests of null hypotheses [PDF]
Frontiers in PsychologyNull hypothesis statistical testing (NHST) is typically taught by first posing a null hypothesis and an alternative hypothesis. This conception is sadly erroneous as there is no alternative hypothesis in the NHST.
Denis Cousineau
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Null hypothesis significance testing vs. Bayesian inference using generalized linear mixed models with binary outcomes: a case study under practical design constraints [PDF]
Frontiers in PsychologyEmpirical investigation requires dealing with fundamental uncertainty. In experimental psychology, research questions are often addressed using Null Hypothesis Significance Testing (NHST), an approach rooted in the frequentist statistical tradition.
Stefano Dalla Bona +7 more
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Beyond the p Value Dichotomy: Alternatives for Statistical Inference-A Critical Review. [PDF]
J Eval Clin PractABSTRACT Rationale The p value has long been used as the primary criterion for statistical significance; however, its dichotomous interpretation has been increasingly criticized for oversimplifying uncertainty and distorting scientific inference, particularly in health and sports sciences.
Ferreira MHL, Câmara LC, Junior NC.
europepmc +2 more sources
Ultrasound assessment of intimal hyperplasia after plain balloon angioplasty and drug-coated balloon angioplasty of AV access stenosis [PDF]
CVIR EndovascularPurpose To determine whether there is a significant decrease in intimal hyperplasia post percutaneous transluminal angioplasty (PTA) of AV access stenosis.
Kate Steiner +2 more
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Trends in null hypothesis significance testing: Still going strong [PDF]
HeliyonNull hypothesis significance testing (NHST) is among the most prominent and widely used methods for analyzing data. At the same time, NHST has been criticized since many years because of misuses and misconceptions that can be found extensively in the ...
Frank Emmert-Streib
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Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023 Inferential statistics are typically reported using p-values (NHST) or confidence intervals on effect sizes (estimation). This is done using a range of styles, but some readers have preferences about how statistics should be presented and others have limited familiarity with alternatives.
Damien Masson +2 more
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Null regions: a unified conceptual framework for statistical inference [PDF]
Royal Society Open Science, 2023 Ruling out the possibility that there is absolutely no effect or association between variables may be a good first step, but it is rarely the ultimate goal of science.
Adam H. Smiley +2 more
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