Cited by 8Qualitative Research Methods and ApplicationsFocus Groups and Qualitative MethodsQualitative Research Methods and Ethics

PNS217 bootstrap saturation: a quantitative approach for supporting data saturation in sample sizes in qualitative research'

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Gugiu, C., Randall, J., Gibbons, E., Hunter, T., Naegeli, A., Symonds, T.·2020·Value in Health

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Crossref · 10.1016/j.jval.2020.08.1661

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Authors
Gugiu, C., Randall, J., Gibbons, E., Hunter, T., Naegeli, A., & Symonds, T.
Affiliations
Eli Lilly (United States) (US)
Venue
Value in Health
Publisher
Elsevier BV
Published
2020-12
Volume
23
Pages
S677
ISSN
1098-3015 (ISSN-L)
OpenAlex
W3110707396
Cited by
8
References
0
Citations by year
2025: 2 · 2024: 2 · 2023: 3 · 2022: 1
Type
conference abstract
Language
en
Open access
Locations
Value in Health (publishedVersion)
Topics
  • Social Sciences › Education › Qualitative Research Methods and Applications
  • Social Sciences › Sociology and Political Science › Focus Groups and Qualitative Methods
  • Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
Keywords
data saturation, bootstrapping, sample size determination, qualitative research, concept identification

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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