Vertaile menetelmiä
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| Kvantitatiivis-dominantti transformatiivinen yhdistelmämenetelmäsuunnittelu× | Samanaikainen triangulaatiomenetelmien yhdistelmätutkimusasetelma× | |
|---|---|---|
| Tieteenala | Tutkimusasetelma | Tutkimusasetelma |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 2003–2007 (Mertens); systematised 2011 (Creswell & Plano Clark) | 2007 (formally named in Creswell & Plano Clark, 1st ed.) |
| Kehittäjä≠ | Donna M. Mertens (transformative paradigm); John W. Creswell & Vicki L. Plano Clark (mixed methods typology) | John W. Creswell & Vicki L. Plano Clark |
| Tyyppi | Mixed methods research design | Mixed methods research design |
| Alkuperäislähde≠ | Mertens, D. M. (2007). Transformative paradigm: Mixed methods and social justice. Journal of Mixed Methods Research, 1(3), 212–225. DOI ↗ | Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| Rinnakkaisnimet | QUAN-dominant transformative MMR, transformative mixed methods (quantitative priority), transformative QUAN-priority design, advocacy-framed mixed methods (quantitative emphasis) | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation |
| Liittyvät≠ | 6 | 5 |
| Tiivistelmä≠ | Quantitative-dominant transformative mixed methods design embeds a transformative theoretical lens — such as feminist, critical race, or disability theory — as the overarching framework of a study while assigning greater weight and priority to quantitative data collection and analysis. Qualitative data play a secondary, supplementary role, typically contextualising or deepening statistical findings. The design is common in social justice, equity, and advocacy-oriented applied research where large-scale measurement is essential but must be grounded in an explicit commitment to marginalized communities. | The concurrent triangulation mixed methods design collects quantitative and qualitative data simultaneously, analyzes each strand independently, and then merges the results to assess whether the two data sources corroborate one another. Often called the convergent parallel design, it is one of the foundational configurations in mixed methods research and is chosen specifically when the researcher wants to cross-validate or triangulate findings from two distinct methodological traditions. |
| ScholarGateAineisto ↗ |
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