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Saturation des données en recherche qualitative×Théorie ancrée×
DomaineRecherche qualitativeRecherche qualitative
FamilleProcess / pipelineProcess / pipeline
Année d'origine19671967
Auteur d'origineBarney Glaser and Anselm StraussBarney Glaser and Anselm Strauss
TypeConceptMethod
Source fondatriceGlaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302560Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. Aldine. link ↗
Aliassaturation, theoretical saturation, thematic saturation, sampling to saturationGT, Grounded Theory Approach
Apparentées43
RésuméData saturation is a foundational principle in qualitative research describing the point at which data collection yields no new themes, codes, or insights—additional data becomes redundant. Introduced by Glaser and Strauss (1967) in their work on grounded theory, saturation guides decisions about sample size and when to stop recruiting participants. Saturation is not a fixed number but a dynamic endpoint determined by examining whether new data are adding substantively new information. The concept is central to claims of rigor and theoretical adequacy in qualitative research, signaling that the researcher has gathered sufficient data to understand the phenomenon in depth.Grounded Theory (GT) is a systematic qualitative research methodology in which theory emerges directly from data through iterative analysis, rather than being imposed before data collection. Developed by Barney Glaser and Anselm Strauss in 1967, GT prioritizes generating explanatory frameworks grounded in evidence.
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ScholarGateComparer des méthodes: Data Saturation in Qualitative Research · Grounded Theory. Consulté le 2026-06-19 sur https://scholargate.app/fr/compare