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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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An Alternative to Null-Hypothesis Significance Tests [PDF]
Psychological Science, 2005 The statistic Prep estimates the probability of replicating an effect. It captures traditional publication criteria for signal-to-noise ratio, while avoiding parametric inference and the resulting Bayesian dilemma. In concert with effect size and replication intervals, Prep provides all of the information now used in evaluating research, while ...
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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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Indian Dermatology Online Journal, 2019 Biomedical research relies on proving (or disproving) a research hypothesis, and P value becomes a cornerstone of “null hypothesis significance testing.” P value is the maximum probability of getting the observed outcome by chance. For a statistical test
Amrita Sil +2 more
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Upsala Journal of Medical Sciences, 2022 Background: The aim was to investigate inferences of statistically significant test results among persons with more or less statistical education and research experience.
Per Lytsy, Mikael Hartman, Ronnie Pingel
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The Fallacy of the Null Hypothesis Significance Test [PDF]
Psychological Bulletin, 1960 The theory of probability and statistical inference is various things to various people. To the mathematician, it is an intricate formal calculus, to be explored and developed with little professional concern for any empirical significance that might attach to the terms and propositions involved.
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A Review of Bayesian Hypothesis Testing and Its Practical Implementations
Entropy, 2022 We discuss hypothesis testing and compare different theories in light of observed or experimental data as fundamental endeavors in the sciences. Issues associated with the p-value approach and null hypothesis significance testing are reviewed, and the ...
Zhengxiao Wei +4 more
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Bleeding, Thrombosis and Vascular Biology, 2022 Scientific literature is overflowing of significance testing and p-values.
Augusto Di Castelnuovo +1 more
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