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The American Statistician Volume 73, 2019 - Issue sup1: Statistical Inference in the 21st Century: A World Beyond p < 0.05
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Adopting More Holistic Approaches

Multiple Perspectives on Inference for Two Simple Statistical Scenarios

Noah N. N. van DongenDepartment of Philosophy and Education Sciences, University of Turin, Turin, Italy; Correspondence[email protected]
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Johnny B. van DoornDepartment of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands; View further author information
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Quentin F. GronauDepartment of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands; View further author information
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Don van RavenzwaaijDepartment of Psychology, University of Groningen, Groningen, The Netherlands; View further author information
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Rink HoekstraDepartment of Psychology, University of Groningen, Groningen, The Netherlands; View further author information
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Matthias N. HauckeDepartment of Psychology, University of Groningen, Groningen, The Netherlands; View further author information
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Daniel LakensDepartment of Industrial Engineering & Innovation Sciences, Technical University Eindhoven, Eindhoven, The Netherlands; View further author information
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Christian HennigDepartment of Statistical Science, University College London, London, UK; View further author information
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Richard D. MoreySchool of Psychology, Cardiff University, Cardiff, Wales, UK; View further author information
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Saskia HomerSchool of Psychology, Cardiff University, Cardiff, Wales, UK; View further author information
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Andrew GelmanDepartment of Statistics and Department of Political Science, Columbia University, New York, NYView further author information
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Jan SprengerDepartment of Philosophy and Education Sciences, University of Turin, Turin, Italy; View further author information
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Eric-Jan WagenmakersDepartment of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands; Correspondence[email protected]
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Pages 328-339 | Received 02 Aug 2018, Accepted 04 Dec 2018, Published online: 20 Mar 2019

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Michael Lavine. (2024) P-values don’t measure evidence. Communications in Statistics - Theory and Methods 53:2, pages 718-726.
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