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| Intervention Mixed Methods Design× | Monivaiheinen yhdistettyjen menetelmien suunnitelma× | |
|---|---|---|
| Tieteenala | Tutkimusasetelma | Tutkimusasetelma |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 2000s–2010s (systematised in Creswell & Plano Clark, 2011–2018) | 2007 (first edition of Designing and Conducting Mixed Methods Research) |
| Kehittäjä | John W. Creswell & Vicki L. Plano Clark | 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. ISBN: 978-1483344379 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute |
| Rinnakkaisnimet | intervention MMR design, mixed methods intervention study, intervention-embedded mixed design, trial-embedded mixed methods | multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods |
| Liittyvät | 6 | 6 |
| Tiivistelmä≠ | Intervention mixed methods design embeds qualitative data collection within an experimental or quasi-experimental study so that process, mechanism, and participant experience are captured alongside outcome measurement. The quantitative strand tests whether the intervention works; the qualitative strand explains how and why it works — or does not. The two strands may be sequenced before, during, or after the intervention phase, or run concurrently, depending on the research questions. | 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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