Сравнение методов

	Визуальный элиситационный конверсационный анализ	Мультимодальный дискурс-анализ
Область	Качественные методы	Лингвистика
Семейство	Process / pipeline	Process / pipeline
Год появления	Hybrid approach emerging 1990s–2000s; constituent methods established 1960s–1970s	1996
Автор метода	Synthesised from Douglas Harper (visual elicitation) and Harvey Sacks, Emanuel Schegloff, Gail Jefferson (conversation analysis)	Gunther Kress and Theo Van Leeuwen
Тип	Qualitative hybrid method	Empirical process pipeline
Основополагающий источник	Harper, D. (2002). Talking about pictures: A case for photo elicitation. Visual Studies, 17(1), 13–26.	Kress, G., & Van Leeuwen, T. (2006). Reading Images: The Grammar of Visual Design (2nd ed.). London: Routledge.
Другие названия	VECA, image-elicited conversation analysis, photo elicitation CA, visual-aided CA	Multimodal Analysis, Semiotic Analysis
Связанные	3	2
Сводка	Visual elicitation conversation analysis (VECA) is a qualitative hybrid method that uses photographs, drawings, maps, or other visual stimuli to prompt and structure participant talk, and then subjects the resulting interaction to systematic conversation analysis (CA). The approach leverages the evocative power of images to generate richer, more embodied accounts of experience while applying CA's rigorous sequential analysis of turn-taking, repair, and action formation to reveal how meaning is collaboratively constructed in situ.	Multimodal Discourse Analysis is a method for examining how meaning is created through the integration of multiple modes of communication: language, image, sound, gesture, and spatial arrangement. Developed by Gunther Kress, Theo Van Leeuwen, and others, this approach recognizes that in contemporary communication—from videos to websites to classrooms—meaning is rarely conveyed by language alone. By analyzing how text, visuals, sound, and other modes work together, multimodal analysis reveals how complex meanings are constructed.