Порівняння методів

	Паралельний трансформативний змішаний метод	Партисипативне змішане дослідження методом одночасної тріангуляції
Галузь	Дизайн дослідження	Дизайн дослідження
Родина	Process / pipeline	Process / pipeline
Рік появи	2000s (formalized ~2007–2009)	2000s–2010s
Автор методу	Donna M. Mertens; John W. Creswell & Vicki L. Plano Clark	Creswell & Plano Clark (concurrent triangulation); Mertens and Israel & Schulz (participatory lens)
Тип	Mixed methods research design	Mixed methods research design
Основоположне джерело	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: 978-1483338064
Інші назви	concurrent transformative design, simultaneous transformative mixed methods, parallel transformative design, transformative concurrent design	participatory QUAN+QUAL design, community-based concurrent triangulation, participatory convergent mixed methods, PAR concurrent triangulation
Пов'язані	5	3
Підсумок	Concurrent transformative mixed methods design collects quantitative and qualitative data simultaneously, guided by a transformative theoretical lens — such as feminist, critical race, disability, or indigenous frameworks — that foregrounds equity, power, and social change. The design gives either strand equal or unequal priority, but both strands are explicitly shaped by the transformative worldview. Findings are merged or compared to generate actionable insights that advocate for marginalized communities.	Participatory concurrent triangulation mixed methods is a research design that embeds a participatory worldview — prioritising community involvement, co-ownership, and social change — within a concurrent triangulation structure, in which quantitative and qualitative data are collected at the same time, analysed independently, and then merged to compare or validate findings. The design is used when researchers need both statistical breadth and lived-experience depth, and when the community affected by the research must be meaningfully involved throughout.