手法を比較

	質的研究におけるデータ飽和	詳細インタビュー法
分野	質的研究	質的研究
系統	Process / pipeline	Process / pipeline
提唱年	1967	1954
提唱者	Barney Glaser and Anselm Strauss	Carl Rogers and Herbert H. Hyman
種類	Concept	Method
原典	Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302560	Kvale, S. (1996). InterViews: An Introduction to Qualitative Research Interviewing. SAGE Publications. ISBN: 978-0761908631
別名	saturation, theoretical saturation, thematic saturation, sampling to saturation	IDI, qualitative interview, one-on-one interview, in-depth interviewing
関連	4	5
概要	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.