Document Type
Conference Proceeding
Publication Date
5-2016
Publication Title
CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Abstract
We describe the primary ways researchers can determine the size of a sample of research participants, present the benefits and drawbacks of each of those methods, and focus on improving one method that could be useful to the CHI community: local standards. To determine local standards for sample size within the CHI community, we conducted an analysis of all manuscripts published at CHI2014. We find that sample size for manuscripts published at CHI ranges from 1 -- 916,000 and the most common sample size is 12. We also find that sample size differs based on factors such as study setting and type of methodology employed. The outcome of this paper is an overview of the various ways sample size may be determined and an analysis of local standards for sample size within the CHI community. These contributions may be useful to researchers planning studies and reviewers evaluating the validity of results.
Recommended Citation
Kelly Caine. 2016. Local Standards for Sample Size at CHI. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 981-992. DOI: http://dx.doi.org/10.1145/2858036.2858498
Comments
This paper has been published in the CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. Please find the published version here (note that a subscription is necessary to access this version):
http://dl.acm.org/citation.cfm?id=2858498
ACM holds the copyright in this article.