Increasing the Transparency of Research Papers with Explorable Multiverse Analyses Pierre Dragicevic, Yvonne Jansen, Abhraneel Sarma, Matthew Kay, Fanny Chevalier To cite this version: Pierre Dragicevic, Yvonne Jansen, Abhraneel Sarma, Matthew Kay, Fanny Chevalier. Increasing the Transparency of Research Papers with Explorable Multiverse Analyses. CHI 2019 - The ACM CHI Conference on Human Factors in Computing Systems, May 2019, Glasgow, United Kingdom. 10.1145/3290605.3300295. hal-01976951 HAL Id: hal-01976951 https://hal.inria.fr/hal-01976951 Submitted on 10 Jan 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Increasing the Transparency of Research Papers with Explorable Multiverse Analyses Pierre Dragicevic Yvonne Jansen Abhraneel Sarma Inria CNRS – Sorbonne Université University of Michigan Orsay, France Paris, France Ann Arbor, MI, USA
[email protected] [email protected] [email protected] Matthew Kay Fanny Chevalier University of Michigan University of Toronto Ann Arbor, MI, USA Toronto, Canada
[email protected] [email protected] ABSTRACT ACM Reference Format: We present explorable multiverse analysis reports, a new ap- Pierre Dragicevic, Yvonne Jansen, Abhraneel Sarma, Matthew Kay, proach to statistical reporting where readers of research and Fanny Chevalier.