Making sense of statistics in HCI: From P to Bayes and beyond

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Many find statistics confusing, and perhaps more so given recent publicity of problems with traditional pvalues and alternative statistical techniques including confidence intervals and Bayesian statistics. This course aims to help attendees navigate this morass: to understand the debates and more importantly make appropriate choices when designing and analysing experiments, empirical studies and other forms of quantitative data.

Original languageEnglish
Title of host publicationCHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
PublisherAssociation for Computing Machinery
Pages1236-1239
Number of pages4
ISBN (Electronic)9781450346566
DOIs
Publication statusPublished - 6 May 2017
Externally publishedYes
Event2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 - Denver, United States
Duration: 6 May 201711 May 2017

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
VolumePart F127655

Conference

Conference2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
Country/TerritoryUnited States
CityDenver
Period6/05/1711/05/17

Keywords

  • Bayesian statistics
  • Evaluation, hypothesis testing
  • Human-computer interaction
  • Statistics

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