Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Послідовний змішаний дизайн з пріоритетом кількісних даних× | Пояснювальний послідовний змішаний дизайн× | |
|---|---|---|
| Галузь | Дизайн дослідження | Дизайн дослідження |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 2007 (first edition of Designing and Conducting Mixed Methods Research) | 2007 (formalized in Creswell & Plano Clark's mixed methods typology) |
| Автор методу | John W. Creswell & Vicki L. Plano Clark | John W. Creswell & Vicki L. Plano Clark |
| Тип | Mixed methods research design | Mixed methods research design |
| Основоположне джерело≠ | 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 |
| Інші назви | QUAN-dominant sequential design, quantitative-priority sequential MMR, quan-first sequential mixed methods, quantitative-led sequential design | explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design |
| Пов'язані≠ | 4 | 6 |
| Підсумок≠ | 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. | The explanatory sequential mixed methods design is a two-phase research approach in which a quantitative study is conducted first, and qualitative data are then collected specifically to help explain or elaborate the initial quantitative results. The quantitative phase carries greater priority; the qualitative phase is purposefully built around the findings — such as surprising results, outliers, or statistically significant relationships — that need deeper interpretation. |
| ScholarGateНабір даних ↗ |
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