Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Проектиране на смесени методи, фокусирани върху казуси× | 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; draws on Yin's case study framework | 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 Publications. ISBN: 978-1483358857 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Други названия | case-study mixed methods, embedded case mixed methods, case-oriented mixed design, CFMMD | explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design |
| Свързани | 6 | 6 |
| Резюме≠ | Case-focused mixed methods design integrates qualitative and quantitative data-collection strands within one or more bounded cases — specific settings, organizations, programs, or individuals. The design harnesses the contextual depth of case study methodology alongside the corroborative or complementary power of mixed data types, enabling researchers to build rich, multi-faceted accounts of complex phenomena situated in real-world contexts. | 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 ↗ |
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