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The Continued Prevalence of Dichotomous Inferences at CHI

Published: 02 May 2019 Publication History

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.

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References

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    cover image ACM Conferences
    CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
    May 2019
    3673 pages
    ISBN:9781450359719
    DOI:10.1145/3290607
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 02 May 2019

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    Author Tags

    1. confidence intervals
    2. dichotomous inferences
    3. dichotomous thinking
    4. nhst
    5. p-values
    6. statistics

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    • (2024)Motionless Movement: Towards Vibrotactile Kinesthetic DisplaysProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642499(1-16)Online publication date: 11-May-2024
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