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| Komparatív szemiotikai elemzés× | Összehasonlító vizuális elemzés× | |
|---|---|---|
| Tudományterület | Kvalitatív módszerek | Kvalitatív módszerek |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | Early 20th century (Saussure 1916; Peirce c. 1900); comparative framing consolidated from 1970s onward | 1986–2001 (systematic codification in social research) |
| Megalkotó≠ | Ferdinand de Saussure (semiology), Charles Sanders Peirce (semiotics); comparative application developed across cultural and communication studies | Gillian Rose (systematic visual methods); John Collier Jr. (visual anthropology) |
| Típus≠ | Qualitative comparative analysis | Qualitative comparative research design |
| Alapmű≠ | Chandler, D. (2007). Semiotics: The Basics (2nd ed.). Routledge. ISBN: 978-0415363754 | Rose, G. (2016). Visual Methodologies: An Introduction to Researching with Visual Materials (4th ed.). Sage. ISBN: 978-1473942028 |
| Alternatív nevek | cross-cultural semiotics, comparative sign analysis, comparative semiology, CSA | cross-case visual analysis, comparative image analysis, comparative visual methods, CVA |
| Kapcsolódó≠ | 6 | 5 |
| Összefoglaló≠ | Comparative semiotic analysis examines how signs, symbols, and meaning-making systems operate across two or more contexts — such as different cultures, historical periods, media platforms, or social groups. By applying semiotic frameworks (denotation, connotation, myth, codes, paradigms) systematically across parallel corpora, researchers reveal how the same sign produces different meanings, how ideologies are encoded differently, or how symbolic structures converge and diverge across settings. | Comparative Visual Analysis is a qualitative research design that systematically examines and compares visual materials — photographs, videos, artworks, advertisements, or digital images — across two or more cases, groups, time points, or contexts. By applying a consistent analytical framework to multiple visual corpora, the approach reveals similarities, differences, and patterns that would remain invisible when studying a single set of images alone. |
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