Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Участие в объяснительном последовательном смешанном методе× | 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 (explanatory sequential structure); Mertens (transformative/participatory lens) | 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 QUAN-to-QUAL design, community-based explanatory sequential design, transformative explanatory sequential mixed methods, participatory two-phase sequential design | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation |
| Связанные | 5 | 5 |
| Сводка≠ | The participatory explanatory sequential mixed methods design combines the two-phase QUAN-to-QUAL structure of the explanatory sequential design with a participatory or transformative worldview. Community members and stakeholders are involved as collaborators — not merely subjects — across all stages, from formulating research questions to interpreting results. Quantitative data are collected and analyzed first; findings that need deeper explanation then drive a second, qualitative phase conducted with and by the community. | 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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