Year: 2019
Type: conference-paper
Abstract: 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.
Authors: Lonni Besançon, Pierre Dragicevic
Institutions: Linköping University, Centre Inria de Saclay
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2943497741