Vertaile menetelmiä
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| Monivaiheinen evaluointikeskeinen menetelmäyhdistelmä× | Transformatiivinen sekamenetelmäsuunnittelu× | |
|---|---|---|
| Tieteenala | Tutkimusasetelma | Tutkimusasetelma |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 2007–2009 (multiphase design formalized 2007; evaluation-focused applications consolidated ca. 2009) | 2003–2009 |
| Kehittäjä≠ | John W. Creswell & Vicki L. Plano Clark (multiphase design); Stewart I. Donaldson and colleagues (evaluation-focused framing) | Donna M. Mertens; John W. Creswell & Vicki L. Plano Clark |
| Tyyppi≠ | Mixed methods research design — program evaluation variant | Mixed methods research design |
| Alkuperäislähde≠ | Donaldson, S. I., Christie, C. A., & Mark, M. M. (Eds.). (2009). What Counts as Credible Evidence in Applied Research and Evaluation Practice? Sage. ISBN: 978-1412957090 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Rinnakkaisnimet | evaluation multiphase mixed methods, program evaluation multiphase design, mixed methods program evaluation, evaluative multiphase design | transformative design, advocacy mixed methods, emancipatory mixed methods, social-justice mixed methods |
| Liittyvät | 6 | 6 |
| Tiivistelmä≠ | The evaluation-focused multiphase mixed methods design applies the multiphase mixed methods framework explicitly to program evaluation contexts, orchestrating three or more sequential or iterative phases — each drawing on quantitative measures, qualitative inquiry, or both — to assess a program, policy, or intervention from needs assessment through impact evaluation. An overarching evaluation question unifies all phases, and findings from each phase directly shape the evaluation questions and methods of the next. | Transformative mixed methods design embeds a social-justice or advocacy theoretical framework — such as feminism, critical race theory, disability studies, or indigenous worldviews — as the overarching lens that guides every decision about data collection, integration, and use. Both quantitative and qualitative strands serve the goal of advancing equity, challenging power structures, and producing actionable knowledge for marginalized communities. |
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