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Recommendations for statistical analysis involving null hypothesis significance testing [PDF]
Sports Biomechanics, 2020 Editorial: Recommendations for statistical analysis involving null hypothesis significance ...
Elizabeth J Bradshaw (9130778) +9 more
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Philosophical Preconditions Guide Null Hypothesis Significance Testing in Empirical Psychology
Nordicum-MediterraneumTo mathematize is closely related to the ideal of scientific objectivity, claiming bias-free results. In this respect, mathematization may substantiate the belief that significance testing could prove or disprove a hypothesis, since it is considered bias-
Fredrik Dreyer Moe
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Interpreting null findings from trials of alcohol brief interventions [PDF]
Frontiers in Psychiatry, 2014 The effectiveness of alcohol brief intervention (ABI) has been established by a succession of meta-analyses but, because the effects of ABI are small, null findings from randomized controlled trials are often reported and can sometimes lead to skepticism
Nick eHeather
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The Need for Nuance in the Null Hypothesis Significance Testing Debate. [PDF]
Educ Psychol Meas, 2017 Null hypothesis significance testing (NHST) provides an important statistical toolbox, but there are a number of ways in which it is often abused and misinterpreted, with bad consequences for the reliability and progress of science. Parts of contemporary NHST debate, especially in the psychological sciences, is reviewed, and a suggestion is made that a
Häggström O.
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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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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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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 ...
openaire +2 more sources