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| Вграден обяснителен последователен смесен метод× | Многофазен дизайн със смесени методи× | |
|---|---|---|
| Област | Дизайн на изследването | Дизайн на изследването |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2007–2011 | 2007 (first edition of Designing and Conducting Mixed Methods Research) |
| Създател | John W. Creswell & Vicki L. Plano Clark | 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: 978-1483substitute |
| Други названия | embedded QUAN→QUAL design, nested explanatory sequential design, embedded mixed methods with explanatory sequence, QUAN(qual) explanatory embedded design | multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods |
| Свързани≠ | 5 | 6 |
| Резюме≠ | The embedded explanatory sequential mixed methods design combines two structural logics: the explanatory sequential framework (a dominant quantitative phase followed by a qualitative follow-up) and the embedded design principle (one method nested within the other to serve a supporting role). Quantitative data are collected and analyzed first to identify patterns or outcomes; qualitative data are then gathered — embedded within or alongside the QUAN phase — to explain, interpret, or contextualize those findings. The result is a study in which numerical results drive the inquiry and qualitative voices provide the explanatory depth. | The multiphase mixed methods design is a sustained research program in which quantitative and qualitative strands are combined across three or more sequential phases — or across multiple related projects — to address a central program objective. Each phase builds on the prior phase's findings, making the design well-suited to long-term evaluation, intervention development, and large-scale program assessment where a single data-collection cycle cannot fully address the complexity of the research problem. |
| ScholarGateНабор от данни ↗ |
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