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Bayesian Hypothesis Testing vs NHST
, 2021 This package provides the data and calculations for the example used in the article "Bayesian Inference Demystified for Software Engineering Researchers: a Step-by-Step Introduction." It consists of two items:- a spreadsheet file that can be opened with ...
Hakan Erdogmus (10190240)
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The state of the art of hypothesis testing in the social sciences
Social Sciences and Humanities Open, 2022 Over many decades, one seemingly fatal critique after another has been launched against the use of social sciences' dominant practice of null-hypothesis significance testing, also known as NHST.
Arjen van Witteloostuijn +1 more
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When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment
Frontiers in Human Neuroscience, 2017 Null hypothesis significance testing (NHST) has several shortcomings that are likely contributing factors behind the widely debated replication crisis of (cognitive) neuroscience, psychology, and biomedical science in general.
Denes Szucs, John P. A. Ioannidis
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Performing Contrast Analysis in Factorial Designs: From NHST to Confidence Intervals and Beyond [PDF]
Educational and Psychological Measurement, 2016 Because of the continuing debates about statistics, many researchers may feel confused about how to analyze and interpret data. Current guidelines in psychology advocate the use of effect sizes and confidence intervals (CIs). However, researchers may be unsure about how to extract effect sizes from factorial designs.
Wiens, Stefan, Nilsson, Mats E.
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Relevancia de las pruebas de significación de hipótesis nulas (NHST) en ciencias biológicas: enfoque sociológico. [PDF]
, 2023 Pág. 13 – 21, gráficos, tablas. Anexo: Proposal of the questionnaire (4 hojas.)Significance tests play a very important role in the scientific community, and the biomedical research community is not an exception.
Sobetska, Olha
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Frontiers in Psychology, 2018 In psychology as elsewhere, the main statistical inference strategy to establish empirical effects is null-hypothesis significance testing (NHST). The recent failure to replicate allegedly well-established NHST-results, however, implies that such results
Antonia Krefeld-Schwalb +2 more
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BMC Medical Research Methodology, 2020 Background Although null hypothesis significance testing (NHST) is the agreed gold standard in medical decision making and the most widespread inferential framework used in medical research, it has several drawbacks.
Riko Kelter
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BMC Psychiatry, 2018 Background Despite its popularity as an inferential framework, classical null hypothesis significance testing (NHST) has several restrictions. Bayesian analysis can be used to complement NHST, however, this approach has been underutilized largely due to ...
Daniel S. Quintana, Donald R. Williams
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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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Conceptual understanding of NHST
, 2017 Data and materials of a research project that investigated students' conceptual understanding of null hypothesis significance testing (NHST)
Lutz Ostkamp
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