Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Участвующие трансформационные смешанные методы× | Дизайн смешанных методов с одновременной триангуляцией× | |
|---|---|---|
| Область | Дизайн исследования | Дизайн исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2000s–2010s | 2007 (formally named in Creswell & Plano Clark, 1st ed.) |
| 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. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| Другие названия | participatory transformative MMR, transformative-participatory mixed methods, emancipatory participatory mixed design, social-justice participatory mixed methods | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation |
| Связанные | 5 | 5 |
| 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 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. |
| ScholarGateНабор данных ↗ |
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