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Fisher, Neyman-Pearson or NHST? A Tutorial for Teaching Data Testing
Frontiers in Psychology, 2015 Despite frequent calls for the overhaul of null hypothesis significance testing (NHST), this controversial procedure remains ubiquitous in behavioral, social and biomedical teaching and research.
Jose D. Perezgonzalez
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Are Only p-Values Less Than 0.05 Significant? A p-Value Greater Than 0.05 Is Also Significant!
Journal of Lipid and Atherosclerosis, 2023 Statistical hypothesis testing compares the significance probability value and the significance level value to determine whether or not to reject the null hypothesis.
Sanggyu Kwak
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What would judgment and decision making research be like if we took a Bayesian approach to hypothesis testing? [PDF]
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
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On the Power of Some Nonparametric Isotropy Tests
Acta Universitatis Lodziensis. Folia Oeconomica, 2020 In this paper, properties of nonparametric significance tests verifying the random field isotropy hypothesis are discussed. In particular, the subject of the conducted analysis is the probability of rejecting the null hypothesis when it is true.
Krzysztof Szymoniak-Książek
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Beyond Null Hypothesis Significance Testing
, 2018 This is a 2-lecture module that discusses alternative approaches to Null Hypothesis Significance Testing, which is basically model comparison. Lecture 7 introduces Structural Equation Modelling (SEM) and Lecture 8 introduces Bayesian Hypothesis ...
Elizabeth Page-Gould
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BMC Biology, 2023 Canadian policymakers are interested in determining whether farmed Atlantic salmon, frequently infected with Piscine orthoreovirus (PRV), may threaten wild salmon populations in the Pacific Northwest.
Shinichi Nakagawa, Malgorzata Lagisz
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A Frequentist Alternative to Significance Testing, p-Values, and Confidence Intervals
Econometrics, 2019 There has been much debate about null hypothesis significance testing, p-values without null hypothesis significance testing, and confidence intervals. The first major section of the present article addresses some of the main reasons these procedures are
David Trafimow
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, 2014 Null hypothesis significance testing has successfully reduced the complexity of scientific inference to a dichotomous decision (i.e., 'reject' versus 'not reject').
Sprangers, Mirjam A. G. +2 more
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A Panel Test of Purchasing Power Parity Under the Null of Stationarity [PDF]
, 2001 Purchasing Power Parity (PPP) is tested using a sample of real exchange rate data for twelve European countries. Acknowledging that Augmented Dickey Fuller tests have low power, we apply a Panel test that considers the null of stationarity and corrects
Simpson, M, Hunter, J
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Do psychology students interpret null hypothesis significance testing critically?
, 2017 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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