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  1. What type of Type I error? Contrasting the Neyman–Pearson and Fisherian approaches in the context of exact and direct replications.Mark Rubin - 2021 - Synthese 198 (6):5809–5834.
    The replication crisis has caused researchers to distinguish between exact replications, which duplicate all aspects of a study that could potentially affect the results, and direct replications, which duplicate only those aspects of the study that are thought to be theoretically essential to reproduce the original effect. The replication crisis has also prompted researchers to think more carefully about the possibility of making Type I errors when rejecting null hypotheses. In this context, the present article considers the utility of two (...)
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  • “Repeated sampling from the same population?” A critique of Neyman and Pearson’s responses to Fisher.Mark Rubin - 2020 - European Journal for Philosophy of Science 10 (3):1-15.
    Fisher criticised the Neyman-Pearson approach to hypothesis testing by arguing that it relies on the assumption of “repeated sampling from the same population.” The present article considers the responses to this criticism provided by Pearson and Neyman. Pearson interpreted alpha levels in relation to imaginary replications of the original test. This interpretation is appropriate when test users are sure that their replications will be equivalent to one another. However, by definition, scientific researchers do not possess sufficient knowledge about the relevant (...)
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  • R. A. Fisher, Lancelot Hogben, and the Origin of Genotype–Environment Interaction.James Tabery - 2008 - Journal of the History of Biology 41 (4):717-761.
    This essay examines the origin of genotype-environment interaction, or G×E. "Origin" and not "the origin" because the thesis is that there were actually two distinct concepts of G×E at this beginning: a biometric concept, or \[G \times E_B\], and a developmental concept, or \[G \times E_D \]. R. A. Fisher, one of the founders of population genetics and the creator of the statistical analysis of variance, introduced the biometric concept as he attempted to resolve one of the main problems in (...)
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  • Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.Jose D. Perezgonzalez - 2015 - Frontiers in Psychology 6:135153.
    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. Little change seems possible once the procedure becomes well ingrained in the minds and current practice of researchers; thus, the optimal opportunity for such change is at the time the procedure is taught, be this at undergraduate or at postgraduate levels. This paper presents a tutorial for the teaching of data testing procedures, often referred to (...)
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  • Moderation Effects of Ethnic-Racial Identity on Disordered Eating and Ethnicity Among Asian and Caucasian Americans.Katrina T. Obleada & Brooke L. Bennett - 2021 - Frontiers in Psychology 12.
    Background: The current study was designed to examine whether ethnic-racial identity moderated the relationship between disordered eating and primary ethnic identification.Methods: Three hundred and ninety-eight undergraduate women were recruited from a large university in Hawai‘i. Participants completed the Eating Disorder Examination Questionnaire, the ERI measure, and reported their primary ethnicity as an index of ethnicity.Results: There was a significant correlation between eating concerns and centrality, r = 0.127, p < 0.05. Moderation analyses indicated that only ERI centrality moderated the predictive (...)
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  • On the necessity for random sampling.D. J. Johnstone - 1989 - British Journal for the Philosophy of Science 40 (4):443-457.
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  • Hypothesis tests and confidence intervals in the single case.D. J. Johnstone - 1988 - British Journal for the Philosophy of Science 39 (3):353-360.
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  • Mathematical statistics and metastatistical analysis.Andrés Rivadulla - 1991 - Erkenntnis 34 (2):211 - 236.
    This paper deals with meta-statistical questions concerning frequentist statistics. In Sections 2 to 4 I analyse the dispute between Fisher and Neyman on the so called logic of statistical inference, a polemic that has been concomitant of the development of mathematical statistics. My conclusion is that, whenever mathematical statistics makes it possible to draw inferences, it only uses deductive reasoning. Therefore I reject Fisher's inductive approach to the statistical estimation theory and adhere to Neyman's deductive one. On the other hand, (...)
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