Results 31 to 40 of about 10,336,836 (232)
The tyranny of the P-value: effect size matters
Psychiatry and Clinical Psychopharmacology, 2021 Statistical significance does not necessarily imply clinical significance. A P-value of less than 0.05 does not guarantee that the result will be important. Effect size needs to be calculated in order to appraise clinical relevance.
Leslie Citrome
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Indian Journal of Psychological Medicine, 2019 The calculation of a P value in research and especially the use of a threshold to declare the statistical significance of the P value have both been challenged in recent years.
C. Andrade
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Evolution in statistics: P values, statistical significance, kayaks, and walking trees.
Advances in Physiology Education, 2020 The scientific literature is littered with the adjective significant and the descriptive phrase statistically significant. Established members of the statistical community now recommend that a scientific paper simply report an actual P value divorced ...
D. Curran-Everett
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How feasible is it to abandon statistical significance? A reflection based on a short survey
BMC Medical Research Methodology, 2020 Background There is a growing trend in using the “statistically significant” term in the scientific literature. However, harsh criticism of this concept motivated the recommendation to withdraw its use of scientific publications. We aimed to validate the
Fredi Alexander Diaz-Quijano +2 more
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Statistical significance—meaningful or not [PDF]
Law, Probability and Risk, 2018 Statistical tests with large sample sizes can have large power. Power is the ability to detect an effect. Detection is indicated by a result which is statistically significant. A test with large power will detect a very small effect. This very small effect may not be meaningful in the context of the analysis being conducted.
Aitken, Colin, Wilson, Amy, Sleeman, R.
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Statistical Significance Testing at CHI PLAY: Challenges and Opportunities for More Transparency
ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, 2020 Statistical Significance Testing -- or Null Hypothesis Significance Testing (NHST) -- is common to quantitative CHI PLAY research. Drawing from recent work in HCI and psychology promoting transparent statistics and the reduction of questionable research ...
Jan B. Vornhagen +2 more
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Errors of Econometric Methodology in the Study of Economics Theories [PDF]
مدلسازی اقتصادسنجی, 2020 Scientific theories are a way of knowing man. The main difference between this method and other methods is the testability of its claims. Testability helps to correct scientific knowledge of error.
Mojtaba Rostami +3 more
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The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing
Annual Meeting of the Association for Computational Linguistics, 2018 Statistical significance testing is a standard statistical tool designed to ensure that experimental results are not coincidental. In this opinion/ theoretical paper we discuss the role of statistical significance testing in Natural Language Processing ...
Rotem Dror +3 more
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Beyond Statistical Significance
Orthodontic Journal of NepalN ...
Sushant Pandey
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Talking about Statistical Significance in Numeracy
Numeracy, 2022 In recent years, much debate has surrounded the potential for audiences to be mislead by several common practices when reporting statistical significance tests. Two editors of Numeracy share the journals perspectives on these questions.
Nathan Grawe, Gizem Karaali
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