Сравнение методов

	Партисипативное исследование множественных случаев	Совместное нарративное исследование
Область	Качественные методы	Качественные методы
Семейство	Process / pipeline	Process / pipeline
Год появления	1980s–1990s (convergence of case study methodology and participatory research traditions)	2000s (Kurtz's PNI framework developed ~2005–2014)
Автор метода	Robert K. Yin (multiple case study logic); Kurt Lewin and subsequent PAR scholars (participatory framework)	Cynthia Kurtz (systematic PNI framework); rooted in Clandinin & Connelly's narrative inquiry tradition
Тип	Qualitative research design	Participatory qualitative research design
Основополагающий источник	Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169	Clandinin, D. J., & Connelly, F. M. (2000). Narrative inquiry: Experience and story in qualitative research. Jossey-Bass. ISBN: 978-0787943523
Другие названия	participatory multi-case study, collaborative multiple case study, PMCS, participatory comparative case research	PNR, participatory narrative inquiry, community narrative research, collaborative narrative research
Связанные	5	5
Сводка	Participatory multiple case study research integrates the structured logic of multiple case study design — examining two or more bounded cases to build analytic generalisations — with the collaborative ethics of participatory research, where community members or practitioners co-design the inquiry, co-collect data, and co-interpret findings. The approach combines Yin's replication logic across cases with the emancipatory and co-ownership principles that define participatory action research traditions.	Participatory Narrative Research (PNR), often operationalized as Participatory Narrative Inquiry (PNI), is a qualitative research design in which community members or stakeholders collect, share, and collectively interpret their own stories to understand complex social phenomena. Unlike researcher-driven narrative approaches, PNR places participants at the center of data collection, analysis, and sense-making, generating actionable insights grounded in lived community experience.