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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | No |
| Title | Moving Transparent Statistics Forward at CHI |
| Organization Unit | |
| Authors |
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| Presentation Type | other |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Page Range | 534 - 541 |
| Event Title | Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems |
| Event Type | workshop |
| Event Location | Denver, Colorado |
| Event Start Date | May 6 - 2017 |
| Event End Date | May 11 - 2017 |
| Place of Publication | New York, NY, USA |
| Abstract Text | Transparent statistics is a philosophy of statistical reporting whose purpose is scientific advancement rather than persuasion. We ran a SIG at CHI 2016 to discuss problems and limitations in statistical practices in HCI and options for moving the field towards clearer and more reliable ways of writing about experiments, and received an overwhelming response. This SIG resulted in rough drafts of reviewer guidelines, resources for authors, and other suggestions for advancing a vision of transparent statistics within the field; this year, we propose a concentrated one-day writing workshop to develop those documents into a polished state with input from a diverse cross-section of the CHI community. |
| Free access at | DOI |
| Digital Object Identifier | 10.1145/3027063.3027084 |
| Other Identification Number | merlin-id:16116 |
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