Frequentist, Bayesian Analysis and Complementary Statistical Tools for Geriatric and Rehabilitation Fields: Are Traditional Null-Hypothesis Significance Testing Methods Sufficient? [PDF]
Clinical Interventions in AgingDahan da Cunha Nascimento,1,* Nicholas Rolnick,2,* Isabella da Silva Almeida,3,* Gerson Cipriano Junior,4,* João Luiz Durigan3,* 1Physical Education Department, Universidade Católica de Brasília, Brasília, DF, Brazil; 2The Human ...
Nascimento DDC +4 more
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Alternatives to P value: confidence interval and effect size [PDF]
Korean Journal of Anesthesiology, 2016 The previous articles of the Statistical Round in the Korean Journal of Anesthesiology posed a strong enquiry on the issue of null hypothesis significance testing (NHST).
Dong Kyu Lee
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Bayesian inference of population prevalence
eLife, 2021 Within neuroscience, psychology, and neuroimaging, the most frequently used statistical approach is null hypothesis significance testing (NHST) of the population mean.
Robin AA Ince +3 more
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A logical analysis of null hypothesis significance testing using popular terminology
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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Morten Møst: Kroner og røre. Historien om NHST og Dagens Næringsliv. [PDF]
Norsk Medietidsskrift, 2015 Hans Fredrik Dahl
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Frontiers in Psychology, 2010 A statistically significant result, and a non-significant result may differ little, although significance status may tempt an interpretation of difference.
Melissa Coulson +3 more
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Think like a Bayesian and avoid pitfalls from our frequentist past
Ideas in Ecology and Evolution, 2022 Bayesian inference is a powerful tool that is increasingly being used by ecologists. This is largely due to the flexibility in model specification and improvements in software that makes this tool easier to use.
Jason Doll, Zachary Feiner
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The state of the art of hypothesis testing in the social sciences
Social Sciences and Humanities Open, 2022 Over many decades, one seemingly fatal critique after another has been launched against the use of social sciences' dominant practice of null-hypothesis significance testing, also known as NHST.
Arjen van Witteloostuijn +1 more
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When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment
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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Performing Contrast Analysis in Factorial Designs: From NHST to Confidence Intervals and Beyond [PDF]
Educational and Psychological Measurement, 2016 Because of the continuing debates about statistics, many researchers may feel confused about how to analyze and interpret data. Current guidelines in psychology advocate the use of effect sizes and confidence intervals (CIs). However, researchers may be unsure about how to extract effect sizes from factorial designs.
Wiens, Stefan, Nilsson, Mats E.
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