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起源年份1978 (Denzin); widely operationalized in survey contexts from the 1990s onward1946 (Merton & Kendall); codified as a standard method through the 1980s–1990s
提出者Norman K. Denzin (triangulation concept); Alan Bryman (mixed-methods survey application)Robert K. Merton and Patricia Kendall (focused interview, 1946); further systematised by Steinar Kvale
类型Mixed-methods data collection designQualitative research method
开创性文献Denzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods (2nd ed.). McGraw-Hill. link ↗Kvale, S., & Brinkmann, S. (2009). InterViews: Learning the Craft of Qualitative Research Interviewing (2nd ed.). Sage. ISBN: 978-0761925422
别名survey triangulation, multi-method survey, convergent survey design, cross-validated surveyguided interview, semi-standardized interview, focused interview, SSI
相关56
摘要A Triangulated Survey deliberately combines a structured survey instrument with at least one additional data source — such as interviews, focus groups, observation, or a second survey — so that findings from each source can be cross-validated against the others. Rooted in Denzin's concept of methodological triangulation, the design strengthens credibility by checking whether independent lines of evidence converge on the same conclusions. It is especially common in applied social, educational, and health research.The semi-structured interview is a qualitative data-collection method in which the researcher prepares a set of key questions or topic areas in advance but remains free to probe, follow up, and reorder as the conversation evolves. Unlike structured interviews — which fix every question and sequence — or unstructured interviews — which are entirely open — the semi-structured format balances comparability across participants with the flexibility needed to capture the depth and nuance of individual perspectives. It is the most widely used interview format in social science, health, and education research.
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ScholarGate方法对比: Triangulated Survey · Semi-Structured Interview. 于 2026-06-18 检索自 https://scholargate.app/zh/compare