Порівняння методів

	Партисипативний візуальний аналіз	Візуальний аналіз
Галузь	Якісні методи	Якісні методи
Родина	Process / pipeline	Process / pipeline
Рік появи	1990s (formalized participatory visual methods); Freire roots 1970s	Formalized in social sciences from the 1980s–2000s
Автор методу	Wang & Burris (photovoice tradition); broader roots in participatory action research (Fals-Borda, Freire)	Roots in art history and semiotics (Panofsky, Barthes); social science applications developed by Gillian Rose and Marcus Banks
Тип	Qualitative participatory research approach	Qualitative research approach
Основоположне джерело	Wang, C., & Burris, M. A. (1997). Photovoice: Concept, methodology, and use for participatory needs assessment. Health Education and Behavior, 24(3), 369–387.	Rose, G. (2016). Visual Methodologies: An Introduction to Researching with Visual Materials (4th ed.). Sage. ISBN: 978-1473943056
Інші назви	PVA, participatory visual methods, collaborative visual inquiry, community-based visual analysis	visual research methods, image analysis, visual inquiry, visual data analysis
Пов'язані	5	6
Підсумок	Participatory Visual Analysis (PVA) is a qualitative research approach in which community members or research participants actively produce and interpret visual materials — photographs, drawings, videos, or maps — as a means of documenting their own experiences, surfacing knowledge, and informing action. Rather than the researcher imposing an analytical gaze on pre-existing images, participants are co-investigators who create visual data and participate in its interpretation, making the method both epistemologically democratic and particularly powerful for accessing marginalized or hard-to-articulate perspectives.	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.