Toward More Transparency in Statistical Practice

Eric-Jan Wagenmakers, Alexandra Sarafoglou, Sil Dr. Aarts, Casper J Albers, Johannes Algermissen, Štěpán Bahník, Noah N'Djaye Nikolai van Dongen, Rink Hoekstra, David Moreau and Don van Ravenzwaaij
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Eric-Jan Wagenmakers: University of Amsterdam
Alexandra Sarafoglou: University of Amsterdam
Sil Dr. Aarts: Maastricht University
Casper J Albers: University of Groningen
Johannes Algermissen: Radboud University Nijmegen
Štěpán Bahník: University of Economics, Prague
Don van Ravenzwaaij: University of Groningen

No t93cg, MetaArXiv from Center for Open Science

Abstract: We explore the promise of statistical reform by starting from the assumption that most researchers would endorse Merton's ethos of science as reflected in the four norms of communalism, universalism, disinterestedness, and organized skepticism. Translated to data analysis, these norms imply a need for transparency, a fair acknowledgement of uncertainty, and openness to alternative interpretations. We discuss seven statistical procedures, both old and new, that we believe can positively impact statistical practice in the social and behavioral sciences.

Date: 2021-03-02
New Economics Papers: this item is included in nep-cwa
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:osf:metaar:t93cg

DOI: 10.31219/osf.io/t93cg

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