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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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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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Strength and conditioning journal, 2021 The role of a strength and conditioning coach (SCC) has evolved over the last 10 years to accommodate the large influx of data now available. As such, today's SCC must extend their skill set to include data analysis, understanding the validity and ...
A. Turner +3 more
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The reporting of p values, confidence intervals and statistical significance in Preventive Veterinary Medicine (1997–2017) [PDF]
PeerJ, 2021 Background Despite much discussion in the epidemiologic literature surrounding the use of null hypothesis significance testing (NHST) for inferences, the reporting practices of veterinary researchers have not been examined.
Locksley L. McV. Messam +5 more
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Public Health and Toxicology, 2021 Null hypothesis significance testing (NHST) text was once widely popular and almost systematically used for the identification of causal relations and for risk assessment in toxicology and medicine.
Silvio Roberto Vinceti +1 more
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Farewell to Bright-Line: A Guide to Reporting Quantitative Results Without the S-Word
Frontiers in Psychology, 2020 Recent calls to end the practice of categorizing findings based on statistical significance have focused on what not to do. Practitioners who subscribe to the conceptual basis behind these calls may be unaccustomed to presenting results in the nuanced ...
Kevin M. Cummins +3 more
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Stochastic process computational modeling for learning research
Освітній вимір, 2022 The goal of our research was to compare and systematize several approaches to non-parametric null hypothesis significance testing using computer-based statistical modeling.
Oleksandr H. Kolgatin +2 more
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New Guidelines for Null Hypothesis Significance Testing in Hypothetico-Deductive IS Research
Journal of the AIS, 2020 The objective of this Research Perspectives article is to promote policy change amongst journals, scholars and students with a vested interest in hypothetico-deductive information systems (IS) research.
Willem Mertens, J. Recker
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Testing Point Null Hypothesis of a Normal Mean and the Truth: 21st Century Perspective [PDF]
, 2016 Testing a point (sharp) null hypothesis is arguably the most widely used statistical inferential procedure in many fields of scientific research, nevertheless, the most controversial, and misapprehended.
Lovric, Miodrag M +1 more
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Manipulating the Alpha Level Cannot Cure Significance Testing
Frontiers in Psychology, 2018 We argue that making accept/reject decisions on scientific hypotheses, including a recent call for changing the canonical alpha level from p = 0.05 to p = 0.005, is deleterious for the finding of new discoveries and the progress of science.
David Trafimow +67 more
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