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
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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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Why we habitually engage in null-hypothesis significance testing: A qualitative study. [PDF]
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
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A logical analysis of null hypothesis significance testing using popular terminology [PDF]
BMC Medical Research Methodology, 2022 Background Null Hypothesis Significance Testing (NHST) has been well criticised over the years yet remains a pillar of statistical inference. Although NHST is well described in terms of statistical models, most textbooks for non-statisticians present the
Richard McNulty
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Bayesian alternatives to null hypothesis significance testing in biomedical research: a non-technical introduction to Bayesian inference with JASP [PDF]
BMC Medical Research Methodology, 2020 Background Although null hypothesis significance testing (NHST) is the agreed gold standard in medical decision making and the most widespread inferential framework used in medical research, it has several drawbacks.
Riko Kelter
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When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment [PDF]
Frontiers in Human Neuroscience, 2017 Null hypothesis significance testing (NHST) has several shortcomings that are likely contributing factors behind the widely debated replication crisis of (cognitive) neuroscience, psychology, and biomedical science in general.
Denes Szucs, John P. A. Ioannidis
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Null hypothesis significance testing: a short tutorial. [PDF]
F1000Res, 2015 Although thoroughly criticized, null hypothesis significance testing (NHST) is the statistical method of choice in biological, biomedical and social sciences to investigate if an effect is likely. In this short tutorial, I first summarize the concepts behind the method while pointing to common interpretation errors.
Pernet C.
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When controversies in null hypothesis significance testing prove to be controversial [PDF]
Acta Obstetricia et Gynecologica Scandinavica, 2022 Philip M. Sedgwick +3 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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The posterior probability of a null hypothesis given a statistically significant result [PDF]
Tutorials in Quantitative Methods for Psychology, 2022 When researchers carry out a null hypothesis significance test, it is tempting to assume that a statistically significant result lowers Prob(H0), the probability of the null hypothesis being true.
Schad, Daniel J., Vasishth, Shravan
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