Confronta i metodi

	Disegno misto quantitativo-prioritario partecipativo	Disegno misto partecipativo a priorità qualitativa
Campo	Disegno della ricerca	Disegno della ricerca
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	2000s–2010s	2000s–2010s
Ideatore	Creswell & Plano Clark (core typology); Mertens (participatory-transformative lens)	Creswell & Plano Clark; Donna Mertens (transformative/participatory framing)
Tipo	Mixed methods research design	Mixed methods research design
Fonte seminale	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 978-1483358468	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 978-1483344379
Alias	QUAN-priority participatory mixed methods, community-based quantitative-priority mixed design, participatory QUAN-dominant mixed methods, PAR quantitative-priority mixed design	qual-dominant participatory mixed methods, qualitative-priority PAR mixed design, participatory QUAL+quan mixed design, community-based qualitative-priority mixed design
Correlati	5	2
Sintesi	Participatory quantitative-priority mixed design combines a community-engaged, participatory research framework with a mixed methods structure in which the quantitative strand carries primary weight. Stakeholders and community members co-shape research questions, instruments, and interpretation, while quantitative data provide the dominant evidence base and qualitative data serve a complementary, explanatory, or contextualizing role. This design is particularly suited to applied, evaluative, and social-justice-oriented inquiry where both statistical rigor and community voice are required.	Participatory qualitative-priority mixed design combines a participatory research worldview with a qualitative-dominant mixed methods structure. The qualitative strand carries the primary explanatory weight — capturing lived experience, meaning, and community voice — while a smaller quantitative strand supplements and contextualises the findings. Community members or stakeholders are active co-researchers throughout, shaping questions, data collection, analysis, and action planning.