A simple method to assess and report thematic saturation in qualitative research
Triangle · Family Health International 360
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
- FWCI
- 351.34
- Percentile
- 100%
- References
- 38
Authors
3Topics & keywords
- Qualitative research
- Computer science
- Sample size determination
- Data collection
- Saturation (graph theory)
- Data science
- Sample (material)
- Context (archaeology)