Results 31 to 40 of about 1,116 (143)
Environmental Challenges, 2022 Managers and decision makers need to know if variables measured by environmental monitoring programs are increasing or decreasing, both at individual sites and at larger spatial scales, and the degree of statistical support for these assessments ...
T, H Snelder, C Fraser, A.L. Whitehead
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Statistical reporting inconsistencies in experimental philosophy. [PDF]
PLoS ONE, 2018 Experimental philosophy (x-phi) is a young field of research in the intersection of philosophy and psychology. It aims to make progress on philosophical questions by using experimental methods traditionally associated with the psychological and ...
Matteo Colombo +3 more
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Residual permutation tests for feature importance in machine learning
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Psychological research has traditionally relied on linear models to test scientific hypotheses. However, the emergence of machine learning (ML) algorithms has opened new opportunities for exploring variable relationships beyond linear constraints.
Po‐Hsien Huang
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Language Learning, EarlyView.Abstract This replication study examines feedback timing in vocational language learners and verifies the hypothesis that the advantage of immediate over delayed feedback found in the original study (Li, Zhu, & Ellis, 2016) is due to practice opportunities in immediate feedback.
Shaofeng Li, Jie Li, Jiancheng Qian
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Frontiers in Neuroscience, 2015 Published studies using functional and structural MRI include many errors in the way data are analyzed and conclusions reported. This was observed when working on a comprehensive review of the neural bases of synesthesia, but these errors are probably ...
Jean-Michel eHupé
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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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Zoonoses and Public Health, EarlyView.ABSTRACT Introduction Leptospirosis is a major but under‐reported zoonotic disease, and epidemiological data from South Sudan remain limited. This study estimated the true prevalence of Leptospira spp. exposure and identified associated risk factors among slaughterhouse workers and slaughtered cattle in Western Bahr El Ghazal. Methods A cross‐sectional
David Onafruo +11 more
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A Tutorial on Conducting and Interpreting a Bayesian Independent T‐Test Using Open‐Source Software
Journal of Advanced Nursing, Volume 82, Issue 4, Page 3845-3858, April 2026.ABSTRACT Aim To demonstrate a worked‐out example of a Bayesian independent t‐test using open‐source software, simulated data, a hypothetical nurse education intervention and a randomised controlled study design. This tutorial explains relevant Bayesian concepts and highlights literature that provides statistically principled justifications for ...
Helen Evelyn Malone, Imelda Coyne
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BMC Medical Research Methodology, 2010 Background The null hypothesis significance test (NHST) is the most frequently used statistical method, although its inferential validity has been widely criticized since its introduction.
Fernández-Somoano Ana +2 more
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Scientific Reports, 2023 Differences in the correlated activity of networked brain regions have been reported in individuals with generalized anxiety disorder (GAD) but an overreliance on null-hypothesis significance testing (NHST) limits the identification of disorder-relevant ...
Jonas L. Steinhäuser +5 more
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