Comparer des méthodes

	Analyse de contenu participative	Analyse de contenu
Domaine	Qualitatif	Qualitatif
Famille	Process / pipeline	Process / pipeline
Année d'origine	1990s–2000s (formalized in community-based and health research contexts)	Systematised through Krippendorff's methodology work; 4th edition 2018
Auteur d'origine	Developed at the intersection of participatory action research (Kurt Lewin, 1940s) and qualitative content analysis traditions	Klaus Krippendorff (systematic formulation); roots in early 20th-century communications research
Type	Qualitative research method	Qualitative / mixed-method research technique
Source fondatrice	Leavy, P. (Ed.). (2014). The Oxford Handbook of Qualitative Research. Oxford University Press. ISBN: 978-0199811755	Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661
Alias	PCA, community-based content analysis, collaborative content analysis, participatory textual analysis	İçerik Analizi, systematic content coding, quantitative content analysis
Apparentées	5	5
Résumé	Participatory Content Analysis (PCA) is a qualitative method that integrates community members or stakeholders directly into the content analysis process. Rather than treating participants solely as data sources, PCA positions them as co-analysts who help develop coding categories, interpret textual data, and validate findings. This approach is widely used in health communication, education research, and community-based studies where insider knowledge and cultural context are essential to accurate interpretation.	Content analysis is a systematic research technique for reducing text, visual, or media material into coded categories so that patterns can be counted, compared, and interpreted. Formalised by Klaus Krippendorff in his widely cited methodology textbook (latest edition 2018), the method sits at the boundary of qualitative and quantitative inquiry: it imposes structured, replicable coding on inherently meaning-laden material.