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Анализ на дискурса във времето×Съдържателен анализ×
ОбластКачествени методиКачествени методи
СемействоProcess / pipelineProcess / pipeline
Година на възникване1990s–2000s (systematised as a distinct approach)Systematised through Krippendorff's methodology work; 4th edition 2018
СъздателNorman Fairclough; Jan Blommaert; applied linguists in sociolinguistics and CDA traditionsKlaus Krippendorff (systematic formulation); roots in early 20th-century communications research
ТипQualitative longitudinal research designQualitative / mixed-method research technique
Основополагащ източникFairclough, N. (2003). Analysing Discourse: Textual Analysis for Social Research. Routledge. ISBN: 978-0415258937Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661
Други названияLDA, diachronic discourse analysis, longitudinal CDA, discourse change analysisİçerik Analizi, systematic content coding, quantitative content analysis
Свързани65
РезюмеLongitudinal 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.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.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 1 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Longitudinal Discourse Analysis · Content Analysis. Извлечено на 2026-06-17 от https://scholargate.app/bg/compare