Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Kwantitatief-dominante interventie mixed methods design× | Concurrente ingebedde mixed methods-design× | |
|---|---|---|
| Vakgebied | Onderzoeksontwerp | Onderzoeksontwerp |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 2007–2011 (codified in Creswell & Plano Clark editions) | 2003–2007 |
| Grondlegger≠ | Creswell & Plano Clark (intervention MMD); weighting framework systematized in mixed methods typologies | John W. Creswell & Vicki L. Plano Clark |
| Type | Mixed methods research design | Mixed methods research design |
| Oorspronkelijke bron≠ | 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. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| Aliassen | QUAN-dominant intervention MMD, quantitatively weighted intervention mixed methods, QUAN+qual intervention design, quantitative-priority intervention mixed methods | embedded mixed methods, nested mixed methods design, concurrent nested design, CEMM |
| Verwant | 6 | 6 |
| Samenvatting≠ | Quantitative-dominant intervention mixed methods design embeds a qualitative component within a predominantly quantitative intervention study — typically a randomized controlled trial or quasi-experiment — where the quantitative strand carries the primary weight in determining efficacy, while the qualitative strand explains the processes, mechanisms, or participant experiences that illuminate why and how the intervention works. | The concurrent embedded mixed methods design collects quantitative and qualitative data at the same time, but assigns unequal priority to the two strands: one (usually quantitative) serves as the primary study, while the other (usually qualitative) is nested inside it to answer a supplementary question. The embedded strand does not stand alone; it provides a different perspective on the same phenomenon within a single unified study. |
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