Сравнение методов

	Участвующие трансформационные смешанные методы	Многофазный смешанный дизайн методов
Область	Дизайн исследования	Дизайн исследования
Семейство	Process / pipeline	Process / pipeline
Год появления	2000s–2010s	2007 (first edition of Designing and Conducting Mixed Methods Research)
Автор метода	Donna M. Mertens (transformative paradigm); John W. Creswell & Vicki L. Plano Clark (mixed methods framework)	John W. Creswell & Vicki L. Plano Clark
Тип	Mixed methods research design	Mixed methods research design
Основополагающий источник	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: 978-1483substitute
Другие названия	participatory transformative MMR, transformative-participatory mixed methods, emancipatory participatory mixed design, social-justice participatory mixed methods	multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods
Связанные	5	6
Сводка	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 multiphase mixed methods design is a sustained research program in which quantitative and qualitative strands are combined across three or more sequential phases — or across multiple related projects — to address a central program objective. Each phase builds on the prior phase's findings, making the design well-suited to long-term evaluation, intervention development, and large-scale program assessment where a single data-collection cycle cannot fully address the complexity of the research problem.