Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Совместный параллельный встроенный дизайн смешанных методов× | 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≠ | Creswell & Plano Clark (embedded design); Mertens, Tashakkori & Teddlie (participatory frameworks) | John W. Creswell & Vicki L. Plano Clark |
| Тип | Mixed methods research design | Mixed methods research design |
| Основополагающий источник≠ | 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. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| Другие названия | participatory embedded concurrent design, action-research embedded mixed methods, PAR concurrent embedded design, community-based embedded mixed methods | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation |
| Связанные≠ | 4 | 5 |
| Сводка≠ | Participatory concurrent embedded mixed methods is a research design that combines a participatory or community-based action research framework with an embedded concurrent data structure — simultaneously collecting dominant and supplementary data strands from community stakeholders who are active co-investigators rather than passive subjects. The embedded strand (typically qualitative) is nested within the dominant strand (typically quantitative) and both are gathered at the same time while community members guide priorities, instruments, and meaning-making throughout. | 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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