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.

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.

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