Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Вбудований послідовний змішаний метод дослідження з розвідувальним компонентом× | Пояснювальний послідовний змішаний дизайн× | |
|---|---|---|
| Галузь | Дизайн дослідження | Дизайн дослідження |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 2000s–2010s | 2007 (formalized in Creswell & Plano Clark's mixed methods typology) |
| Автор методу≠ | Creswell & Plano Clark (embedded and exploratory sequential variants codified) | 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. 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 | embedded-exploratory design, nested exploratory sequential design, qual-first embedded design, QUAN(qual) exploratory sequential | explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design |
| Пов'язані | 6 | 6 |
| Підсумок≠ | An embedded exploratory sequential mixed methods design opens with a qualitative phase that explores an understudied phenomenon, then embeds a secondary quantitative strand within or alongside that primary qualitative work. The qualitative findings guide what is measured quantitatively, while the embedded quantitative data provide additional scope or precision without displacing the qualitative logic driving the study. | 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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