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Datensättigung in der qualitativen Forschung×Thematische Analyse×
FachgebietQualitative ForschungQualitative Forschung
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr19672006
UrheberBarney Glaser and Anselm StraussVirginia Braun and Victoria Clarke
TypConceptMethod
Wegweisende QuelleGlaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302560Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
Aliasnamensaturation, theoretical saturation, thematic saturation, sampling to saturationTA, Reflexive Thematic Analysis
Verwandt43
ZusammenfassungData 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.Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences.
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ScholarGateMethoden vergleichen: Data Saturation in Qualitative Research · Thematic Analysis. Abgerufen am 2026-06-18 von https://scholargate.app/de/compare