Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Едновременни смесени методи на намеса× | Обяснителен последователен смесен метод× | |
|---|---|---|
| Област | Дизайн на изследването | Дизайн на изследването |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2000s–2010s | 2007 (formalized in Creswell & Plano Clark's mixed methods typology) |
| Създател≠ | Creswell & Plano Clark; Tashakkori & Teddlie | John W. Creswell & Vicki L. Plano Clark |
| Тип | Mixed methods research design | Mixed methods research design |
| Основополагащ източник | 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. ISBN: 978-1483344379 |
| Други названия | concurrent mixed methods intervention design, simultaneous intervention mixed methods, CIMM design, parallel intervention mixed methods | explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design |
| Свързани | 6 | 6 |
| Резюме≠ | Concurrent intervention mixed methods is a research design that embeds qualitative data collection within an experimental or quasi-experimental intervention study, with both data strands gathered simultaneously during the intervention period. Quantitative data assess intervention outcomes while qualitative data illuminate participants' experiences, implementation processes, or contextual factors — each strand informing the other at the integration stage. | 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. |
| ScholarGateНабор от данни ↗ |
|
|