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领域质性质性
方法族Process / pipelineProcess / pipeline
起源年份1970s–1980s (codified in qualitative research methodology)Systematised through Krippendorff's methodology work; 4th edition 2018
提出者Rooted in ethnographic fieldwork traditions; systematised in qualitative education research by Bogdan & Biklen and Hammersley & AtkinsonKlaus Krippendorff (systematic formulation); roots in early 20th-century communications research
类型Qualitative research strategyQualitative / mixed-method research technique
开创性文献Bogdan, R. C., & Biklen, S. K. (2007). Qualitative Research for Education: An Introduction to Theories and Methods (5th ed.). Pearson. ISBN: 978-0205483655Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661
别名FBDA, field document analysis, naturalistic document analysis, ethnographic document analysisİçerik Analizi, systematic content coding, quantitative content analysis
相关65
摘要Field-based document analysis is a qualitative strategy in which the researcher enters a real-world setting — a school, clinic, organisation, or community — and systematically collects, authenticates, and analyses documents that are naturally produced and used there. Unlike library-based or archival document analysis, the field context is integral: the researcher observes how documents function in practice, who produces and reads them, and what organisational or cultural work they perform. The approach is widely used in ethnographic, case-study, and institutional research.Content analysis is a systematic research technique for reducing text, visual, or media material into coded categories so that patterns can be counted, compared, and interpreted. Formalised by Klaus Krippendorff in his widely cited methodology textbook (latest edition 2018), the method sits at the boundary of qualitative and quantitative inquiry: it imposes structured, replicable coding on inherently meaning-laden material.
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ScholarGate方法对比: Field-based Document Analysis · Content Analysis. 于 2026-06-15 检索自 https://scholargate.app/zh/compare