পদ্ধতির তুলনা করুন

	অংশগ্রহণমূলক পরিমাণগত-অগ্রাধিকার মিশ্র নকশা	সমবর্তী ত্রিভুজ মিশ্র পদ্ধতি নকশা
ক্ষেত্র	গবেষণা নকশা	গবেষণা নকশা
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	2000s–2010s	2007 (formally named in Creswell & Plano Clark, 1st ed.)
প্রবর্তক	Creswell & Plano Clark (core typology); Mertens (participatory-transformative lens)	John W. Creswell & Vicki L. Plano Clark
ধরন	Mixed methods research design	Mixed methods research design
মৌলিক উৎস	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. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
অপর নাম	QUAN-priority participatory mixed methods, community-based quantitative-priority mixed design, participatory QUAN-dominant mixed methods, PAR quantitative-priority mixed design	convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
সম্পর্কিত	5	5
সারসংক্ষেপ	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.	The concurrent triangulation mixed methods design collects quantitative and qualitative data simultaneously, analyzes each strand independently, and then merges the results to assess whether the two data sources corroborate one another. Often called the convergent parallel design, it is one of the foundational configurations in mixed methods research and is chosen specifically when the researcher wants to cross-validate or triangulate findings from two distinct methodological traditions.