Sammenlign metoder

	Deltagende transformerende mixed methods	Eksplorativ sekventiel mixed methods-design
Fagområde	Forskningsdesign	Forskningsdesign
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	2000s–2010s	1990s–2000s (codified by ~2007)
Ophavsperson	Donna M. Mertens (transformative paradigm); John W. Creswell & Vicki L. Plano Clark (mixed methods framework)	John W. Creswell & Vicki L. Plano Clark
Type	Mixed methods research design	Mixed methods research design
Oprindelig kilde	Mertens, D. M. (2010). Research and Evaluation in Education and Psychology: Integrating Diversity with Quantitative, Qualitative, and Mixed Methods (3rd ed.). Sage. ISBN: 978-1412958608	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Aliasser	participatory transformative MMR, transformative-participatory mixed methods, emancipatory participatory mixed design, social-justice participatory mixed methods	QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
Relaterede	5	6
Resumé	Participatory transformative mixed methods is a research design that embeds both a participatory action framework and a transformative paradigm within mixed methods inquiry. Both quantitative and qualitative data are collected in active collaboration with marginalized or underserved communities, with the explicit aim of producing findings that challenge inequity, empower participants, and drive social change. Donna Mertens' transformative paradigm and the mixed methods tradition of Creswell and Plano Clark jointly inform the approach.	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.