Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ цифровых документов× | Визуальный анализ× | |
|---|---|---|
| Область | Качественные методы | Качественные методы |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2000s onward (grounded in earlier document analysis traditions) | Formalized in social sciences from the 1980s–2000s |
| Автор метода≠ | Adapted from traditional document analysis; digital variant developed by qualitative researchers across disciplines (e.g., Bowen 2009; Prior 2003) | Roots in art history and semiotics (Panofsky, Barthes); social science applications developed by Gillian Rose and Marcus Banks |
| Тип≠ | Qualitative data analysis method | Qualitative research approach |
| Основополагающий источник≠ | Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40. DOI ↗ | Rose, G. (2016). Visual Methodologies: An Introduction to Researching with Visual Materials (4th ed.). Sage. ISBN: 978-1473943056 |
| Другие названия | online document analysis, digital text analysis, e-document analysis, digital archival analysis | visual research methods, image analysis, visual inquiry, visual data analysis |
| Связанные | 6 | 6 |
| Сводка≠ | Digital document analysis is a qualitative method for systematically locating, appraising, and interpreting documents that exist in digital or online form — including websites, emails, institutional reports, policy files, social media content, and digital archives. It applies the established logic of document analysis to born-digital and digitised sources, enabling researchers to examine meaning, discourse, and institutional practice embedded in contemporary digital texts without recruiting participants. | Visual analysis is a qualitative research approach that systematically examines visual materials — such as photographs, films, artworks, advertisements, and diagrams — to understand how meaning is produced, communicated, and interpreted. Drawing on traditions from art history, semiotics, and social science, it treats visual objects as data that carry social, cultural, and ideological significance. Multiple frameworks exist, from formal compositional analysis to discourse-based and audience-reception approaches. |
| ScholarGateНабор данных ↗ |
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