Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Визуально-элицитационный дискурс-анализ× | Дискурс-анализ× | |
|---|---|---|
| Область≠ | Качественные методы | Качественные исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Late 1990s–2000s (consolidation as a combined approach) | 1989 (Fairclough); 1987 (Potter & Wetherell) |
| Автор метода≠ | Synthesised from photo-elicitation (Clark, 1969; Harper, 2002) and discourse analysis (Foucault; Fairclough) | Norman Fairclough; Jonathan Potter and Margaret Wetherell |
| Тип≠ | Qualitative combined method | Method |
| Основополагающий источник≠ | Harper, D. (2002). Talking about pictures: A case for photo elicitation. Visual Studies, 17(1), 13–26. DOI ↗ | Fairclough, N. (1989). Language and power. Longman. link ↗ |
| Другие названия≠ | VEDA, photo-elicitation discourse analysis, image-elicitation discourse analysis, visual elicitation interview analysis | DA, Critical Discourse Analysis, Discursive Analysis |
| Связанные≠ | 5 | 2 |
| Сводка≠ | Visual Elicitation Discourse Analysis (VEDA) is a qualitative method that uses photographs or other images as interview stimuli to generate participant talk, which is then subjected to systematic discourse analysis. By anchoring conversation in concrete visual materials, VEDA accesses meanings, ideologies, and subject positions that purely verbal questioning often fails to surface. The approach combines the depth of elicitation interviewing with the critical, language-focused rigour of discourse analysis. | Discourse analysis is a qualitative research methodology that examines how language, communication, and power shape meaning, identity, and social reality. Developed across linguistics, sociology, and psychology (particularly by Norman Fairclough and Jonathan Potter), discourse analysis goes beyond content to analyze language use as a social practice that constitutes and reflects power relations, ideologies, and social structures. |
| ScholarGateНабор данных ↗ |
|
|