Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Kwalitatief-dominante transformatieve mixed methods design× | Concurrente triangulatie mixed methods design× | |
|---|---|---|
| Vakgebied | Onderzoeksontwerp | Onderzoeksontwerp |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 2003–2010 | 2007 (formally named in Creswell & Plano Clark, 1st ed.) |
| Grondlegger≠ | Donna M. Mertens (transformative framework); John W. Creswell & Vicki L. Plano Clark (weighting typology) | John W. Creswell & Vicki L. Plano Clark |
| Type | Mixed methods research design | Mixed methods research design |
| Oorspronkelijke bron≠ | Mertens, D. M. (2009). Transformative Research and Evaluation. Guilford Press. ISBN: 978-1593856267 | Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| Aliassen | QUAL-dominant transformative MMR, qualitative-priority transformative design, QUAL+ transformative mixed methods, transformative mixed methods with qualitative priority | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation |
| Verwant≠ | 6 | 5 |
| Samenvatting≠ | Qualitative-dominant transformative mixed methods is a mixed methods research design in which qualitative data carry the primary evidential weight while quantitative data serve a supplementary role, and the entire inquiry is governed by a transformative theoretical framework — one committed to social justice, equity, and the amplification of marginalized voices. The design produces rich contextual understanding alongside statistical corroboration to advance emancipatory or advocacy-oriented goals. | 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. |
| ScholarGateGegevensset ↗ |
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