方法对比

	视觉启发视觉分析	Visual Elicitation Thematic Analysis
领域	质性	质性
方法族	Process / pipeline	Process / pipeline
起源年份	2000s–2010s (consolidation as a combined approach)	2000s–2010s
提出者	Synthesised from photo elicitation (Collier, 1957; Harper, 2002) and visual analysis traditions (Rose; Banks)	Synthesised from Harper's photo elicitation (2002) and Braun and Clarke's thematic analysis (2006); applied as an integrated method from the 2010s onward
类型	Qualitative combined method	Qualitative data collection and analysis approach
开创性文献	Harper, D. (2002). Talking about pictures: A case for photo elicitation. Visual Studies, 17(1), 13–26.	Harper, D. (2002). Talking about pictures: A case for photo elicitation. Visual Studies, 17(1), 13–26.
别名	VEVA, photo-elicitation visual analysis, image elicitation visual analysis, participatory visual analysis	VETA, photo elicitation thematic analysis, image-based thematic analysis, visual-data thematic analysis
相关	4	3
摘要	Visual Elicitation Visual Analysis (VEVA) is a qualitative method that uses photographs or other images as interview stimuli to prompt participant engagement, then subjects the resulting visual materials — both the stimuli and any participant-produced images — to systematic visual analysis. The approach treats images as the primary analytic object, examining composition, symbolism, and visual meaning rather than limiting analysis to the verbal discourse images generate. VEVA is particularly powerful in participatory visual research and photo-voice studies where images are both elicitation tools and data.	Visual elicitation thematic analysis (VETA) is a qualitative method that uses photographs, drawings, or other images as interview stimuli to provoke richer verbal accounts, then subjects those accounts to systematic thematic analysis. By grounding conversation in concrete visual material, the method unlocks meanings, memories, and tacit knowledge that purely verbal questioning often fails to reach. It is widely used in health, education, community, and organisational research.