Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Количественно-доминирующий трансформационный дизайн смешанных методов× | Трансформативный дизайн смешанных методов× | |
|---|---|---|
| Область | Дизайн исследования | Дизайн исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2003–2007 (Mertens); systematised 2011 (Creswell & Plano Clark) | 2003–2009 |
| Автор метода≠ | Donna M. Mertens (transformative paradigm); John W. Creswell & Vicki L. Plano Clark (mixed methods typology) | Donna M. Mertens; John W. Creswell & Vicki L. Plano Clark |
| Тип | Mixed methods research design | Mixed methods research design |
| Основополагающий источник≠ | Mertens, D. M. (2007). Transformative paradigm: Mixed methods and social justice. Journal of Mixed Methods Research, 1(3), 212–225. DOI ↗ | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Другие названия | QUAN-dominant transformative MMR, transformative mixed methods (quantitative priority), transformative QUAN-priority design, advocacy-framed mixed methods (quantitative emphasis) | transformative design, advocacy mixed methods, emancipatory mixed methods, social-justice mixed methods |
| Связанные | 6 | 6 |
| Сводка≠ | Quantitative-dominant transformative mixed methods design embeds a transformative theoretical lens — such as feminist, critical race, or disability theory — as the overarching framework of a study while assigning greater weight and priority to quantitative data collection and analysis. Qualitative data play a secondary, supplementary role, typically contextualising or deepening statistical findings. The design is common in social justice, equity, and advocacy-oriented applied research where large-scale measurement is essential but must be grounded in an explicit commitment to marginalized communities. | Transformative mixed methods design embeds a social-justice or advocacy theoretical framework — such as feminism, critical race theory, disability studies, or indigenous worldviews — as the overarching lens that guides every decision about data collection, integration, and use. Both quantitative and qualitative strands serve the goal of advancing equity, challenging power structures, and producing actionable knowledge for marginalized communities. |
| ScholarGateНабор данных ↗ |
|
|