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| Kvantitativt-dominerende pragmatisk mixed methods design× | Kvantitativ-prioriteret mixed methods design× | |
|---|---|---|
| Fagområde | Forskningsdesign | Forskningsdesign |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | 1998–2010 | 2003–2009 |
| Ophavsperson≠ | Tashakkori & Teddlie (mixed methods paradigm discourse); pragmatic strand systematized by Morgan and Creswell | Creswell & Plano Clark; Teddlie & Tashakkori |
| Type | Mixed methods research design | Mixed methods research design |
| Oprindelig kilde≠ | Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Aliasser≠ | QUAN-dominant pragmatic MMR, pragmatic quantitative-priority mixed design, quan-priority pragmatic design | QUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methods |
| Relaterede | 6 | 6 |
| Resumé≠ | A mixed methods design in which quantitative data and analysis carry the primary explanatory weight while a smaller qualitative component provides contextual depth. Grounded in philosophical pragmatism, design decisions — including timing, sequencing, and the scope of each strand — are driven by what best answers the research question rather than by adherence to a single paradigmatic tradition. | Quantitative-priority mixed methods design is a research approach in which quantitative data and analysis carry the primary explanatory weight, while qualitative data play a supplementary or corroborating role. The researcher collects and analyzes quantitative data first (or concurrently with greater emphasis), then uses qualitative findings to elaborate, explain, or contextualize the statistical results. Priority and sequence together define where integration occurs and how each strand informs the other. |
| ScholarGateDatasæt ↗ |
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