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La Différence Significative entre Valeurs p et Intervalles de Confiance

Lonni Besançon 1, 2 Pierre Dragicevic 2
2 AVIZ - Analysis and Visualization
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Abstract : In addition to the wrong interpretations it often causes, binary significance testing tends to generate a false impression of confidence in scientific publications. Estimation techniques offer more information and better lend themselves to nuanced interpretations. We discuss the limits of binary significance testing and suggest practical guidelines on how to use estimation techniques in scientific publications, from paper writing to presentation.
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Contributor : Lonni Besancon <>
Submitted on : Thursday, July 13, 2017 - 7:10:31 PM
Last modification on : Wednesday, September 16, 2020 - 5:12:44 PM
Long-term archiving on: : Friday, January 26, 2018 - 7:35:17 PM


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  • HAL Id : hal-01562281, version 1


Lonni Besançon, Pierre Dragicevic. La Différence Significative entre Valeurs p et Intervalles de Confiance. 29ème conférence francophone sur l'Interaction Homme-Machine, Aug 2017, Poitiers, France. pp.10. ⟨hal-01562281v1⟩



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