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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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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.
Masson, Damien +3 more
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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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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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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 ...
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Frontiers in Psychology, 2018 In psychology as elsewhere, the main statistical inference strategy to establish empirical effects is null-hypothesis significance testing (NHST). The recent failure to replicate allegedly well-established NHST-results, however, implies that such results
Antonia Krefeld-Schwalb +2 more
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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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Handgrip Strength and Its Relationship with White Blood Cell Count in U.S. Adolescents
Biology, 2021 Background: The role of muscular fitness (as a protecting factor for an optimal immune system) and WBC count remains unclear. To the best of our knowledge, this is the first study to investigate the relationship between the total count of WBC and groups ...
José Francisco López-Gil +3 more
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BMC Psychiatry, 2018 Background Despite its popularity as an inferential framework, classical null hypothesis significance testing (NHST) has several restrictions. Bayesian analysis can be used to complement NHST, however, this approach has been underutilized largely due to ...
Daniel S. Quintana, Donald R. Williams
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