Special Interest Group on Transparent Statistics Guidelines

Chat Wacharamanotham (1) , Shion Guha (2) , Matthew Kay (3) , Pierre Dragicevic (4) , Steve Haroz (5)

1 UZH - Universität Zürich [Zürich] = University of Zurich
2 Cornell University [New York]
3 University of Washington [Seattle]
4 AVIZ - Analysis and Visualization
5 SU - Sorbonne Université

Transparent statistics is a philosophy of statistical reporting whose purpose is scientific advancement rather than persuasion. At our CHI 2017 workshop, Moving Transparent Statistics Forward, we identified that an important first step is to develop detailed guidelines for authors and reviewers in order to help them practice and promote transparent statistics. We propose a SIG to solicit feedback from the CHI community on a first working draft of Transparent Statistics Guidelines and engage potential contributors to push the transparent statistics movement forward.

Keywords: HCI-Sorbonne; Statistics; Methodology; User studies

Domains: Human-Computer Interaction [cs.HC]

Chat Wacharamanotham, Shion Guha, Matthew Kay, Pierre Dragicevic, Steve Haroz. Special Interest Group on Transparent Statistics Guidelines. CHI 2018 - Conference on Human Factors in Computing Systems, Apr 2018, Montreal QC, France. pp.1-4, ⟨10.1145/3170427.3185374⟩. ⟨hal-01818141⟩