Sample Sizes for 10 Types of Qualitative Data Analysis: An Integrative Review, Empirical Guidance, and Next Steps

Arizona State University · San Jose State University

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Abstract

There has been a recent explosion of articles on minimum sample sizes needed for analyzing qualitative data. The purpose of this integrated review is to examine this literature for 10 types of qualitative data analysis (5 types of saturation and 5 common methods). Building on established reviews and expanding to new methods, our findings extract the following sample size guidelines: theme saturation (9 interviews; 4 focus groups), meaning saturation (24 interviews; 8 focus groups), theoretical saturation (20–30+ interviews), metatheme saturation (20–40 interviews per site), and saturation in salience (10 exhaustive free lists); two methods where power analysis determines sample size: classical content analysis…

Citation impact

206
total citations
FWCI
388.47
Percentile
100%
References
124
Citations per year

Authors

3

Topics & keywords

Keywords
  • Sample (material)
  • Computer science
  • Data science
  • Sample size determination
  • Statistics
  • Mathematics
UN Sustainable Development Goals
  • Quality Education
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Funding