Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Смешанное мета-заключение× | Трансформативный дизайн смешанных методов× | |
|---|---|---|
| Область | Дизайн исследования | Дизайн исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1998–2003 | 2003–2009 |
| Автор метода≠ | Abbas Tashakkori & Charles Teddlie | Donna M. Mertens; John W. Creswell & Vicki L. Plano Clark |
| Тип≠ | Mixed methods integration procedure | Mixed methods research design |
| Основополагающий источник≠ | Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Другие названия | meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference | transformative design, advocacy mixed methods, emancipatory mixed methods, social-justice mixed methods |
| Связанные | 6 | 6 |
| Сводка≠ | Mixed methods meta-inference is the overarching conclusion drawn at the end of a mixed methods study by systematically combining and integrating the separate inferences produced by the quantitative and qualitative strands. It represents the highest-level interpretive act in mixed methods research: moving beyond strand-specific findings to produce a unified, coherent understanding of the research problem that neither strand could yield alone. | 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 ↗ |
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