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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title A Meta-Analysis of Effect Sizes of CHI Typing Experiments
Organization Unit
  • Natalia Obukhova
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
Event Title Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
Event Type conference
Event Location Yokohama, Japan
Event Start Date May 8 - 2021
Event End Date May 13 - 2021
Place of Publication New York, NY, USA
Publisher ACM Digital Library
Abstract Text While designing an HCI experiment, planning the sample size with a priori power analysis is often skipped due to the lack of reference effect sizes. On the one hand, it can lead to a false-negative result, missing the effect that is present in the population. On the other hand, it poses a risk of spending more resources if the number of participants is too high. In this work, I present the reference for small, medium, and large effect sizes for typing experiments based on a meta-analysis of well-cited papers from CHI conference. This effect size ruler can be used to conduct a priori power analysis or assess the magnitude of the found effect. This work also includes comparisons to other fields and conclude with a discussion of the existing issues with reporting practices and data availability. This paper and all data and materials are freely available at
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Digital Object Identifier 10.1145/3411763.3451520
Other Identification Number merlin-id:21051
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