So sánh phương pháp

	Thiết kế hỗn hợp ưu tiên định lượng có sự tham gia	Suy luận tổng hợp phương pháp hỗn hợp có sự tham gia
Lĩnh vực	Thiết kế nghiên cứu	Thiết kế nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2000s–2010s	1998–2010
Người khởi xướng	Creswell & Plano Clark (core typology); Mertens (participatory-transformative lens)	Abbas Tashakkori & Charles Teddlie (meta-inference concept); extended to participatory contexts by Sweetman, Badiee & Creswell
Loại	Mixed methods research design	Integrative inference procedure within participatory mixed methods
Công trình gốc	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 978-1483358468	Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666
Tên gọi khác	QUAN-priority participatory mixed methods, community-based quantitative-priority mixed design, participatory QUAN-dominant mixed methods, PAR quantitative-priority mixed design	PMMMI, participatory meta-inference, community-based mixed methods inference, integrated meta-inference in participatory research
Liên quan	5	1
Tóm tắt	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 mixed methods meta-inference is the process by which researchers and community co-investigators draw a unified, integrated conclusion — the meta-inference — from separately analysed qualitative and quantitative strands within a participatory mixed methods study. Grounded in the meta-inference framework of Tashakkori and Teddlie and extended into participatory and transformative research contexts, it treats the final synthesis of evidence not merely as a methodological step but as a collaborative, community-accountable act of knowledge production.