articlePLoS ONEMay 5, 2020GOLD OA

A simple method to assess and report thematic saturation in qualitative research

Triangle · Family Health International 360

PubMed
Indexed incrossrefdoajpubmed

Abstract

Data saturation is the most commonly employed concept for estimating sample sizes in qualitative research. Over the past 20 years, scholars using both empirical research and mathematical/statistical models have made significant contributions to the question: How many qualitative interviews are enough? This body of work has advanced the evidence base for sample size estimation in qualitative inquiry during the design phase of a study, prior to data collection, but it does not provide qualitative researchers with a simple and reliable way to determine the adequacy of sample sizes during and/or after data collection. Using the principle of saturation as a foundation, we describe and validate a simple-to-apply…

Citation impact

2,611
total citations
FWCI
351.34
Percentile
100%
References
38
Citations per year

Authors

3

Topics & keywords

Keywords
  • Qualitative research
  • Computer science
  • Sample size determination
  • Data collection
  • Saturation (graph theory)
  • Data science
  • Sample (material)
  • Context (archaeology)
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