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Seven steps toward more transparency in statistical practice

EJ. Wagenmakers, A. Sarafoglou, S. Aarts, C. Albers, J. Algermissen, Š. Bahník, N. van Dongen, R. Hoekstra, D. Moreau, D. van Ravenzwaaij, A. Sluga, F. Stanke, J. Tendeiro, B. Aczel

. 2021 ; 5 (11) : 1473-1480. [pub] 20211111

Jazyk angličtina Země Velká Británie

Typ dokumentu časopisecké články, práce podpořená grantem, přehledy

Perzistentní odkaz   https://www.medvik.cz/link/bmc22003348

We argue that statistical practice in the social and behavioural sciences benefits from transparency, a fair acknowledgement of uncertainty and openness to alternative interpretations. Here, to promote such a practice, we recommend seven concrete statistical procedures: (1) visualizing data; (2) quantifying inferential uncertainty; (3) assessing data preprocessing choices; (4) reporting multiple models; (5) involving multiple analysts; (6) interpreting results modestly; and (7) sharing data and code. We discuss their benefits and limitations, and provide guidelines for adoption. Each of the seven procedures finds inspiration in Merton's ethos of science as reflected in the norms of communalism, universalism, disinterestedness and organized scepticism. We believe that these ethical considerations-as well as their statistical consequences-establish common ground among data analysts, despite continuing disagreements about the foundations of statistical inference.

Citace poskytuje Crossref.org

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$a Sarafoglou, Alexandra $u Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
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$a Aarts, Sil $u School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
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$a Albers, Casper $u Heymans Institute of Psychological Research, University of Groningen, Groningen, The Netherlands
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$a Algermissen, Johannes $u Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
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$a van Dongen, Noah $u Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
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$a Hoekstra, Rink $u Department of Educational Science, University of Groningen, Groningen, The Netherlands
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$a Moreau, David $u School of Psychology and Centre for Brain Research, The University of Auckland, Auckland, New Zealand
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$a van Ravenzwaaij, Don $u Department of Psychology, University of Groningen, Groningen, The Netherlands
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$a Tendeiro, Jorge $u Department of Psychology, University of Groningen, Groningen, The Netherlands $u Office of Research and Academia-Government-Community Collaboration Education and Research Center for Artificial Intelligence and Data Innovation, Hiroshima University, Hiroshima, Japan
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