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Conference Papers Year : 2019

The Continued Prevalence of Dichotomous Inferences at CHI

Lonni Besançon
Pierre Dragicevic


Dichotomous inference is the classification of statistical evidence as either sufficient or insufficient. It is most commonly done through null hypothesis significance testing (NHST). Although predominant, dichotomous inferences have proven to cause countless problems. Thus, an increasing number of methodologists have been urging researchers to recognize the continuous nature of statistical evidence and to ban dichotomous inferences. We wanted to see whether they have had any influence on CHI. Our analysis of CHI proceedings from the past nine years suggests that they have not.
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Dates and versions

hal-01980268 , version 1 (14-01-2019)
hal-01980268 , version 2 (22-02-2019)
hal-01980268 , version 3 (22-02-2019)
hal-01980268 , version 4 (08-03-2019)





Lonni Besançon, Pierre Dragicevic. The Continued Prevalence of Dichotomous Inferences at CHI. CHI '19 Extended Abstracts on Human Factors in Computing Systems, May 2019, Glasgow, United Kingdom. ⟨10.1145/3290607.3310432⟩. ⟨hal-01980268v3⟩
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