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定性研究中的数据饱和×深度访谈法×
领域质性研究质性研究
方法族Process / pipelineProcess / pipeline
起源年份19671954
提出者Barney Glaser and Anselm StraussCarl Rogers and Herbert H. Hyman
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: 978-0202302560Kvale, S. (1996). InterViews: An Introduction to Qualitative Research Interviewing. SAGE Publications. ISBN: 978-0761908631
别名saturation, theoretical saturation, thematic saturation, sampling to saturationIDI, qualitative interview, one-on-one interview, in-depth interviewing
相关45
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.In-depth interviews are a qualitative research method in which a trained interviewer conducts one-on-one conversations with individual participants using open-ended questions to explore their experiences, perspectives, and understandings of a phenomenon. Developed in the 1950s by Rogers and Hyman, the method varies along a spectrum from structured (standardized question sets) to semi-structured (guided topic areas with flexibility) to unstructured (emergent, conversational). In-depth interviews are widely used in sociology, psychology, health sciences, anthropology, and organizational research to capture rich, detailed narratives and personal meaning.
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ScholarGate方法对比: Data Saturation in Qualitative Research · In-Depth Interview Method. 于 2026-06-18 检索自 https://scholargate.app/zh/compare