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Local Standards for Sample Size at CHI

Published: 07 May 2016 Publication History
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  • 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.

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      cover image ACM Conferences
      CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
      May 2016
      6108 pages
      ISBN:9781450333627
      DOI:10.1145/2858036
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 07 May 2016

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      Author Tags

      1. N
      2. evaluation
      3. meta-HCI
      4. methodology
      5. number of participants
      6. research methods
      7. sample size

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      CHI'16
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      CHI'16: CHI Conference on Human Factors in Computing Systems
      May 7 - 12, 2016
      California, San Jose, USA

      Acceptance Rates

      CHI '16 Paper Acceptance Rate 565 of 2,435 submissions, 23%;
      Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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