Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Последовательный смешанный дизайн с количественным приоритетом× | Количественно-приоритетный смешанный метод× | |
|---|---|---|
| Область | Дизайн исследования | Дизайн исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2007 (first edition of Designing and Conducting Mixed Methods Research) | 2003–2009 |
| Автор метода≠ | John W. Creswell & Vicki L. Plano Clark | Creswell & Plano Clark; Teddlie & Tashakkori |
| 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. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Другие названия | QUAN-dominant sequential design, quantitative-priority sequential MMR, quan-first sequential mixed methods, quantitative-led sequential design | QUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methods |
| Связанные≠ | 4 | 6 |
| Сводка≠ | The sequential quantitative-priority mixed design collects and analyzes quantitative data first, then follows with a qualitative strand to elaborate, explain, or contextualize the quantitative findings. The quantitative component is given greater weight in the overall study, meaning the primary research questions and conclusions are primarily grounded in the quantitative evidence, with the qualitative strand playing a supplementary, explanatory role. | Quantitative-priority mixed methods design is a research approach in which quantitative data and analysis carry the primary explanatory weight, while qualitative data play a supplementary or corroborating role. The researcher collects and analyzes quantitative data first (or concurrently with greater emphasis), then uses qualitative findings to elaborate, explain, or contextualize the statistical results. Priority and sequence together define where integration occurs and how each strand informs the other. |
| ScholarGateНабор данных ↗ |
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