Abstract
Guidelines for determining nonprobabilistic sample sizes are virtually nonexistent. Purposive samples are the most commonly used form of nonprobabilistic sampling, and their size typically relies on the concept of “saturation,” or the point at which no new information or themes are observed in the data. Although the idea of saturation is helpful at the conceptual level, it provides little practical guidance for estimating sample sizes, prior to data collection, necessary for conducting quality research. Using data from a study involving sixty in-depth interviews with women in two West African countries, the authors systematically document the degree of data saturation and variability over the course of…
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Authors
3Topics & keywords
Topics
Keywords
- Operationalization
- Data collection
- Nonprobability sampling
- Sample (material)
- Saturation (graph theory)
- Data quality
- Sample size determination
- Psychology
UN Sustainable Development Goals
- Gender equality
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