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| Discourse Completion Task× | Съдържателен анализ× | |
|---|---|---|
| Област≠ | Лингвистика | Качествени методи |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1989 | Systematised through Krippendorff's methodology work; 4th edition 2018 |
| Създател≠ | Shoshana Blum-Kulka, Juliane House & Gabriele Kasper (CCSARP project) | Klaus Krippendorff (systematic formulation); roots in early 20th-century communications research |
| Тип≠ | Written/oral elicitation instrument for speech-act data | Qualitative / mixed-method research technique |
| Основополагащ източник≠ | Blum-Kulka, S., House, J., & Kasper, G. (Eds.) (1989). Cross-Cultural Pragmatics: Requests and Apologies. Ablex Publishing. ISBN: 9780893915131 | Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661 |
| Други названия | Discourse Completion Test, DCT, Production Questionnaire | İçerik Analizi, systematic content coding, quantitative content analysis |
| Свързани≠ | 3 | 5 |
| Резюме≠ | The discourse completion task (DCT) is an elicitation instrument widely used in pragmatics to gather data on how people perform speech acts such as requests, apologies, refusals, and compliments. Respondents read short descriptions of situations and write (or say) what they would utter in each, allowing researchers to collect comparable speech-act data across many speakers, languages, and cultures under controlled conditions. It was popularized by the Cross-Cultural Speech Act Realization Project (CCSARP) of Blum-Kulka, House, and Kasper in 1989. | 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 ↗ |
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