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定性研究中的数据饱和×主题分析×
领域质性研究质性研究
方法族Process / pipelineProcess / pipeline
起源年份19672006
提出者Barney Glaser and Anselm StraussVirginia Braun and Victoria Clarke
类型ConceptMethod
开创性文献Glaser, 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 ↗
别名saturation, theoretical saturation, thematic saturation, sampling to saturationTA, Reflexive Thematic Analysis
相关43
摘要Data 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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ScholarGate方法对比: Data Saturation in Qualitative Research · Thematic Analysis. 于 2026-06-19 检索自 https://scholargate.app/zh/compare