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多源半结构化访谈×焦点小组研究×
领域调查方法论质性
方法族Process / pipelineProcess / pipeline
起源年份1980s–2000s (multi-source data strategies in qualitative inquiry)1940s (sociological origin); modern applied form from the 1980s–1990s
提出者Established practice in qualitative and mixed-methods research; systematized by Patton (2002) and Bryman (2016)Robert K. Merton (sociological precursor, 1940s); popularised in applied research by Richard A. Krueger
类型Qualitative data collection techniqueQualitative data collection method
开创性文献Bryman, A. (2016). Social Research Methods (5th ed.). Oxford University Press. ISBN: 978-0198745754Krueger, R.A. & Casey, M.A. (2014). Focus Groups: A Practical Guide for Applied Research (5th ed.). Sage. ISBN: 978-1483365244
别名multi-informant semi-structured interview, multi-perspective semi-structured interview, multi-source qualitative interview, triangulated semi-structured interviewfocus group discussion, FGD, group interview, Odak Grup Araştırması
相关56
摘要A multi-source semi-structured interview strategy collects qualitative data via guided, open-ended interviews from two or more distinct groups or perspectives relevant to the same phenomenon. By deliberately querying multiple vantage points — such as managers and employees, patients and clinicians, or teachers and students — the researcher can compare, contrast, and triangulate accounts, producing a richer and more balanced picture than any single-source approach allows.Focus group research is a qualitative data-collection method in which a trained moderator guides structured discussions with homogeneous groups of six to ten participants to explore ideas, attitudes, and perceptions on a defined topic. Developed from sociological roots in the 1940s and systematised for applied research by Krueger and Casey, the method leverages group interaction as a data source — revealing not just what people think, but how they negotiate and articulate views in a social setting.
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ScholarGate方法对比: Multi-source Semi-structured Interview · Focus Group. 于 2026-06-15 检索自 https://scholargate.app/zh/compare