방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 시각적 유발 반성적 주제 분석× | 시각 분석× | |
|---|---|---|
| 분야 | 질적 방법 | 질적 방법 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 2000s–2010s (integrated practice established ~2010–2020) | Formalized in social sciences from the 1980s–2000s |
| 창시자≠ | Compound method: visual elicitation (Harper 2002; Clark 1999) + reflexive thematic analysis (Braun & Clarke 2006, 2019) | Roots in art history and semiotics (Panofsky, Barthes); social science applications developed by Gillian Rose and Marcus Banks |
| 유형≠ | Qualitative compound design | Qualitative research approach |
| 원전≠ | Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. DOI ↗ | Rose, G. (2016). Visual Methodologies: An Introduction to Researching with Visual Materials (4th ed.). Sage. ISBN: 978-1473943056 |
| 별칭 | photo-elicitation reflexive TA, image-elicitation RTA, visual-prompt reflexive thematic analysis, VERTA | visual research methods, image analysis, visual inquiry, visual data analysis |
| 관련≠ | 5 | 6 |
| 요약≠ | Visual elicitation reflexive thematic analysis (VERTA) is a qualitative compound design that uses photographs, drawings, or other images as conversation starters in in-depth interviews and then analyses the resulting talk using Braun and Clarke's reflexive thematic analysis framework. The visual prompt lowers the communication barrier, stimulates richer narrative, and anchors abstract experiences to concrete imagery, while the reflexive analytic approach treats theme development as an active, iterative, and researcher-engaged interpretive process rather than a coding algorithm. | 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. |
| ScholarGate데이터셋 ↗ |
|
|