Results 31 to 40 of about 6,626,690 (175)
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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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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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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Overview on the Null Hypothesis Significance Test
, 2021 For decades, waxing and waning, there has been an ongoing debate on the values and problems of the ubiquitously used null hypothesis significance test (NHST). With the start of the replication crisis, this debate has flared-up once again, especially in the psychology and psychological methods literature.
Noah van Dongen, Leonie van Grootel
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A critical analysis of the role of statistical significance testing in education research: With special attention to mathematics education [PDF]
, 2005 This study analyzes the role of statistical significance testing (SST) in education. Although the basic logic underlying SST 一 a hypothesis is rejected because the observed data would be very unlikely if the hypothesis is true 一 appears so obvious that ...
Ng, Yui-kin, Yui-kin Ng,
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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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False-positive and false-negative risks for individual multicentre trials in critical care
BJA Open, 2022 Background: In medical research, null hypothesis significance testing (NHST) is the dominant framework for statistical inference. NHST involves calculating P-values and confidence intervals to quantify the evidence against the null hypothesis of no ...
David Sidebotham, C. Jake Barlow
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Don’t Be Fooled by Randomness: Valid p-Values for Single Molecule Microscopy
Frontiers in Bioinformatics, 2022 The human mind shows extraordinary capability at recognizing patterns, while at the same time tending to underestimate the natural scope of random processes. Taken together, this easily misleads researchers in judging whether the observed characteristics
Magdalena C. Schneider +1 more
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Bayes factors for superiority, non-inferiority, and equivalence designs
BMC Medical Research Methodology, 2019 Background In clinical trials, study designs may focus on assessment of superiority, equivalence, or non-inferiority, of a new medicine or treatment as compared to a control.
Don van Ravenzwaaij +3 more
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Do psychology students interpret null hypothesis significance testing critically?
, 2018 The goal of the study was to descriptively analyze the understanding of null hypothesis significance testing among Croatian psychology students considering how it is usually understood in textbooks, which is subject to Bayesian and interpretative ...
Ivan Flis
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