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To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales

Volume: 13, Issue: 2, Pages: 201 - 216
Published: Dec 26, 2019
Abstract
The concept of data saturation, defined as 'information redundancy' or the point at which no new themes or codes 'emerge' from data, is widely referenced in thematic analysis (TA) research in sport and exercise, and beyond. Several researchers have sought to 'operationalise' data saturation and provide concrete guidance on how many interviews, or focus groups, are enough to achieve some degree of data saturation in TA research. Our disagreement...
Paper Details
Title
To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales
Published Date
Dec 26, 2019
Volume
13
Issue
2
Pages
201 - 216
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