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| Upotettu monivaiheinen sekamenetelmämallinnus× | 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 (embedded design); Nastasi et al. (multiphase) | John W. Creswell & Vicki L. Plano Clark |
| Tyyppi | Mixed methods research design | Mixed methods research design |
| Alkuperäislähde≠ | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 9781483344379 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute |
| Rinnakkaisnimet | embedded multi-phase mixed methods, nested multiphase design, multiphase embedded MMR, embedded phased mixed design | multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods |
| Liittyvät≠ | 4 | 6 |
| Tiivistelmä≠ | Embedded multiphase mixed methods is a research design in which a secondary data strand (qualitative or quantitative) is nested within a primary, dominant strand across two or more sequential study phases. Each phase builds on the prior one, while the embedded strand enhances understanding of specific sub-questions that the dominant strand alone cannot answer. This design is suited to complex, longitudinal, or program-evaluation research problems requiring sustained inquiry across stages. | 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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