Results 21 to 30 of about 6,626,690 (175)
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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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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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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Distinguishing between statistical significance and practical/clinical meaningfulness using statistical inference. [PDF]
, 2014 Decisions about support for predictions of theories in light of data are made using statistical inference. The dominant approach in sport and exercise science is the Neyman-Pearson significance-testing approach.
Wilkinson, Mick
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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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Frontiers in Neuroinformatics, 2021 Classical null hypothesis significance testing is limited to the rejection of the point-null hypothesis; it does not allow the interpretation of non-significant results. This leads to a bias against the null hypothesis.
Ruslan Masharipov +6 more
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Judgment and Decision Making, 2011 Judgment and decision making research overwhelmingly uses null hypothesis significance testing as the basis for statistical inference. This article examines an alternative, Bayesian approach which emphasizes the choice between two competing hypotheses ...
William J. Matthews +2 more
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On the Influence of Religious Assumptions in Statistical Methods Used in Science
Religions, 2020 For several centuries, statistical testing has been used to support evolutionary theories. Given the diverse origins and applications of these tests, it is remarkable how consistent they are.
Cornelius Hunter
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Teaching & Learning Inquiry: The ISSOTL Journal, 2016 Quantitative results from empirical studies are common in the field of Scholarship of Teaching and Learning (SoTL), but it is important to remain aware of what the results from our studies can, and cannot, tell us. Oftentimes studies conducted to examine
April McGrath
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