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| Sisäkkäinen monitasoinen yhdistelmämenetelmäasetelma× | Monivaiheinen yhdistettyjen menetelmien suunnitelma× | |
|---|---|---|
| Tieteenala | Tutkimusasetelma | Tutkimusasetelma |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 2000s–2010s | 2007 (first edition of Designing and Conducting Mixed Methods Research) |
| Kehittäjä≠ | Creswell & Plano Clark; Teddlie & Tashakkori (mixed methods typology literature) | John W. Creswell & Vicki L. Plano Clark |
| Tyyppi | Mixed methods research design | Mixed methods research design |
| Alkuperäislähde≠ | Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute |
| Rinnakkaisnimet | embedded multilevel design, nested multilevel mixed methods, multilevel embedded MMR, embedded hierarchical mixed methods | multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods |
| Liittyvät≠ | 4 | 6 |
| Tiivistelmä≠ | Embedded multilevel mixed methods design nests a secondary qualitative (or quantitative) strand within a primary study that spans hierarchically organized levels — such as students within classrooms, employees within organizations, or patients within clinics. The dominant strand addresses the research question at the structural level while the embedded component enriches understanding at a different level of the hierarchy, producing complementary insights that neither strand could yield alone. | 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. |
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