HCI... Not As It Should Be: Inferential Statistics in HCI Research

This paper surveys the use of inferential statistics over the last two BCS HCI conferences and the last year (2006) of two leading HCI journals. Of the 80 papers covered, 41 used some form of inferential statistics. However, all but one had some form of problem of reporting or analysis that undermined the value or the validity of the statistical testing and hence the research findings. This paper discusses the implications of such widespread issues for HCI research and considers approaches for improving the use of statistics in HCI.

Content

Author and article information

Contributors

Paul Cairns

Conference

Publication date: September 2007

Publication date (Print): September 2007

Pages: 1-7

Affiliations

[0001]University of York

Heslington

York, YO10 5DD

Article

DOI: 10.14236/ewic/HCI2007.20

SO-VID: 8d76db7a-5081-4cc6-a38e-e2ff0b0e709b

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of HCI 2007 The 21st British HCI Group Annual Conference University of Lancaster, UK

Conference acronym: HCI

Conference number: 21

Conference location: Lancaster, UK

Conference date: 3 - 7 September 2007

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: British HCI Group Annual Conference

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2007.20

Self URI (journal page): https://ewic.bcs.org/

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HCI... Not As It Should Be: Inferential Statistics in HCI Research

Abstract