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Recommendations for statistical analysis involving null hypothesis significance testing [PDF]
Sports Biomechanics, 2020 The peer review process of original research articles generally requires authors/researchers to adopt accepted scientific methods, identify testable hypotheses and test those hypotheses using appropriate and established statistical methods. In Sports Biomechanics, authors are encouraged to submit original research articles that conform to these norms ...
Andrew J. Harrison +9 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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In support of null hypothesis significance testing [PDF]
Proceedings of the Royal Society of London. Series B: Biological Sciences, 2004 Many criticisms have been levelled at null hypothesis significance testing (NHST). It is argued here that although there is reason to doubt that data subjected only to NHST have been subjected to sufficient analysis, the search for clear answers to well-formulated questions derived from substantive hypotheses is well served by NHST.
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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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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 Importance of Modeling the Invisible World of Underlying Effect Sizes
Social Psychological Bulletin, 2023 The headline findings from the Open Science Collaboration (2015)―namely, that 36% of original experiments replicated at p < .05, with the overall replication effect sizes being half as large as the original effects―cannot be meaningfully interpreted ...
Brent M. Wilson, John T. Wixted
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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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SA Journal of Industrial Psychology, 2019 Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most important causes of the emerging crisis over the credibility and reproducibility of our science.
Kevin R. Murphy
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A method for parameter hypothesis testing in nonparametric regression with Fourier series approach
MethodsX, 2023 Nonparametric regression model with the Fourier series approach was first introduced by Bilodeau in 1994. In the later years, several researchers developed a nonparametric regression model with the Fourier series approach.
Mustain Ramli +2 more
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Null Hypothesis Significance Testing: A Brief Review
, 2021 Null hypothesis significance testing (NHST) dominates the interpretation of quantitative data analysis in education, psychology, and other social science fields (Shaver, 1993). Meanwhile, the use of NHST has been under enduring and intense criticisms (Carver, 1978; Cohen, 1997; Cumming, 2013; Thompson, 1993, 1996, 1999). In 2015, the journal, Basic and
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