विधियों की तुलना करें

	सहभागी व्याख्यात्मक अनुक्रमिक मिश्रित विधियाँ	अन्वेषणात्मक अनुक्रमिक मिश्रित विधि डिज़ाइन
क्षेत्र	अनुसंधान अभिकल्प	अनुसंधान अभिकल्प
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	2000s-2010s	1990s–2000s (codified by ~2007)
प्रवर्तक	Creswell & Plano Clark (explanatory sequential structure); Mertens (transformative/participatory lens)	John W. Creswell & Vicki L. Plano Clark
प्रकार	Mixed methods research design	Mixed methods research design
मौलिक स्रोत	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 978-1483344379	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
उपनाम	participatory QUAN-to-QUAL design, community-based explanatory sequential design, transformative explanatory sequential mixed methods, participatory two-phase sequential design	QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
संबंधित	5	6
सारांश	The participatory explanatory sequential mixed methods design combines the two-phase QUAN-to-QUAL structure of the explanatory sequential design with a participatory or transformative worldview. Community members and stakeholders are involved as collaborators — not merely subjects — across all stages, from formulating research questions to interpreting results. Quantitative data are collected and analyzed first; findings that need deeper explanation then drive a second, qualitative phase conducted with and by the community.	The exploratory sequential mixed methods design is a two-phase research framework in which a qualitative phase is conducted first to explore a poorly understood phenomenon, and the findings then inform a subsequent quantitative phase — typically to develop and test a survey instrument, measure a theory, or generalize qualitative insights to a larger population. The qualitative strand guides what is measured; the quantitative strand tests or extends those findings at scale.