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Longitudinal Critical Discourse Analysis×দীর্ঘমেয়াদী ডিসকোর্স বিশ্লেষণ×
ক্ষেত্রগুণগতগুণগত
পরিবারProcess / pipelineProcess / pipeline
উদ্ভবের বছর1990s–2000s (CDA foundations ~1989–1992; longitudinal applications consolidated through 2000s)1990s–2000s (systematised as a distinct approach)
প্রবর্তকNorman Fairclough; Ruth WodakNorman Fairclough; Jan Blommaert; applied linguists in sociolinguistics and CDA traditions
ধরনQualitative longitudinal discourse designQualitative longitudinal research design
মৌলিক উৎসFairclough, N. (1992). Discourse and Social Change. Polity Press. ISBN: 978-0745612690Fairclough, N. (2003). Analysing Discourse: Textual Analysis for Social Research. Routledge. ISBN: 978-0415258937
অপর নামLongitudinal CDA, diachronic critical discourse analysis, longitudinal discourse study, temporal CDALDA, diachronic discourse analysis, longitudinal CDA, discourse change analysis
সম্পর্কিত66
সারসংক্ষেপLongitudinal Critical Discourse Analysis (LCDA) combines the critical discourse analysis tradition — which examines how language constructs and reproduces power, ideology, and social inequality — with a longitudinal design that collects and compares texts at multiple time points. By tracking discursive change over time, LCDA reveals how ideological representations, social identities, and power relations shift, stabilise, or are contested across different historical or political periods.Longitudinal Discourse Analysis (LDA) is a qualitative research approach that examines how discourse — language in use, texts, talk, and representational practices — changes across time. Rather than analysing a single snapshot of language, LDA collects and compares discourse data at multiple points to uncover how meanings, identities, ideologies, or social practices evolve, stabilise, or shift under the influence of historical, institutional, or societal forces.
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ScholarGateপদ্ধতির তুলনা করুন: Longitudinal Critical Discourse Analysis · Longitudinal Discourse Analysis. 2026-06-18 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare