Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Лонгитюдный анализ дискурса× | Контент-анализ× | |
|---|---|---|
| Область | Качественные методы | Качественные методы |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s–2000s (systematised as a distinct approach) | Systematised through Krippendorff's methodology work; 4th edition 2018 |
| Автор метода≠ | Norman Fairclough; Jan Blommaert; applied linguists in sociolinguistics and CDA traditions | Klaus Krippendorff (systematic formulation); roots in early 20th-century communications research |
| Тип≠ | Qualitative longitudinal research design | Qualitative / mixed-method research technique |
| Основополагающий источник≠ | Fairclough, N. (2003). Analysing Discourse: Textual Analysis for Social Research. Routledge. ISBN: 978-0415258937 | Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661 |
| Другие названия≠ | LDA, diachronic discourse analysis, longitudinal CDA, discourse change analysis | İçerik Analizi, systematic content coding, quantitative content analysis |
| Связанные≠ | 6 | 5 |
| Сводка≠ | 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. | 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 данных ↗ |
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