Comparer des méthodes

	Analyse sémiotique participative	Analyse Visuelle Participative
Domaine	Qualitatif	Qualitatif
Famille	Process / pipeline	Process / pipeline
Année d'origine	1990s–2000s (formalized integration)	1990s (formalized participatory visual methods); Freire roots 1970s
Auteur d'origine	Draws on Peirce, Saussure, Barthes (semiotics) and Lewin, Fals Borda (participatory research); integrated form developed in social semiotics and PAR literature	Wang & Burris (photovoice tradition); broader roots in participatory action research (Fals-Borda, Freire)
Type	Qualitative participatory analysis approach	Qualitative participatory research approach
Source fondatrice	Kress, G., & van Leeuwen, T. (2006). Reading Images: The Grammar of Visual Design (2nd ed.). Routledge. ISBN: 978-0415319153	Wang, C., & Burris, M. A. (1997). Photovoice: Concept, methodology, and use for participatory needs assessment. Health Education and Behavior, 24(3), 369–387.
Alias	PSA, community semiotic analysis, collaborative semiotic inquiry, participatory social semiotics	PVA, participatory visual methods, collaborative visual inquiry, community-based visual analysis
Apparentées	4	5
Résumé	Participatory Semiotic Analysis (PSA) is a qualitative method that invites community members or research participants to actively co-analyze the signs, symbols, images, and texts that shape their social world. Combining the interpretive rigour of semiotic theory with the democratic ethos of participatory action research, PSA treats participants not as passive informants but as co-analysts who bring insider knowledge to the decoding of culturally embedded meanings.	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.