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Foucauldian Discourse Analysis×Obsahová analýza×
OborKvalitativní metodyKvalitativní metody
RodinaProcess / pipelineProcess / pipeline
Rok vzniku1960s–1970s (The Order of Things 1966; The Archaeology of Knowledge 1969; Discipline and Punish 1975)Systematised through Krippendorff's methodology work; 4th edition 2018
TvůrceMichel FoucaultKlaus Krippendorff (systematic formulation); roots in early 20th-century communications research
TypQualitative research methodQualitative / mixed-method research technique
Původní zdrojFoucault, M. (1972). The Archaeology of Knowledge and the Discourse on Language. Pantheon Books. link ↗Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661
Další názvyFDA, Foucauldian analysis, genealogical discourse analysis, archaeological discourse analysisİçerik Analizi, systematic content coding, quantitative content analysis
Příbuzné65
ShrnutíFoucauldian Discourse Analysis (FDA) is a qualitative method that examines how language, texts, and social practices produce knowledge, construct subjects, and exercise power. Drawing on Michel Foucault's archaeological and genealogical frameworks, FDA investigates the historical and institutional conditions that make certain statements possible, acceptable, and 'true' while silencing others. It is widely applied in critical social science, health, education, and policy research to expose how dominant discourses shape what can be said, known, and done within a given social field.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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ScholarGatePorovnat metody: Foucauldian Discourse Analysis · Content Analysis. Získáno 2026-06-17 z https://scholargate.app/cs/compare