Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Дизайн с одновременным вложенным смешанным методом с равным весом× | Многоуровневый дизайн смешанных методов× | |
|---|---|---|
| Область | Дизайн исследования | Дизайн исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2007–2011 | Late 1990s–2000s |
| Автор метода≠ | John W. Creswell & Vicki L. Plano Clark | Bonnie Nastasi, John Hitchcock, and collaborators; systematized by Creswell & 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. ISBN: 978-1483344379 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483357829 |
| Другие названия | equal-status embedded design, equal-priority concurrent embedded design, balanced embedded mixed methods, QUAN+QUAL embedded design | multilevel MMR, nested mixed methods, hierarchical mixed methods design, cross-level mixed methods |
| Связанные≠ | 6 | 5 |
| Сводка≠ | The equal-weight concurrent embedded mixed methods design collects quantitative and qualitative data simultaneously, with one strand nested inside the other, while assigning both strands equivalent analytic priority. Unlike the standard embedded design where one dominant strand drives the study and the other plays a supporting role, the equal-weight variant treats both strands as co-equal contributors to understanding the research problem, demanding rigorous analysis of both before integration. | Multilevel mixed methods design is a research approach that collects and integrates both quantitative and qualitative data at two or more distinct levels of a social or organizational hierarchy — for example, individuals nested within classrooms, classrooms within schools, or patients within healthcare teams. By pairing quantitative measurement of outcomes at one level with qualitative exploration of meaning at another, researchers gain a richer, more complete picture than either strand alone could provide. |
| ScholarGateНабор данных ↗ |
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