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| Inbäddad mixed methods-metainferens× | Samtidig inbäddad "mixed methods"-design× | |
|---|---|---|
| Ämnesområde | Forskningsdesign | Forskningsdesign |
| Familj | Process / pipeline | Process / pipeline |
| Ursprungsår | 2003–2007 | 2003–2007 |
| Upphovsperson≠ | Abbas Tashakkori & Charles Teddlie (meta-inference concept); John W. Creswell & Vicki L. Plano Clark (embedded design framework) | John W. Creswell & Vicki L. Plano Clark |
| Typ≠ | Mixed methods inference procedure | Mixed methods research design |
| Ursprungskälla≠ | Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. ISBN: 978-0761920731 | Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| Alias | embedded MMR meta-inference, meta-inference in embedded design, integrated meta-inference (embedded), EMMD meta-inference | embedded mixed methods, nested mixed methods design, concurrent nested design, CEMM |
| Närliggande | 6 | 6 |
| Sammanfattning≠ | Embedded mixed methods meta-inference is the process of drawing a single, overarching conclusion by integrating the inferences from a dominant (primary) strand and an embedded (secondary) strand within an embedded mixed methods design. The embedded strand — typically qualitative nested inside a quantitative study, or vice versa — answers a supplemental question, and meta-inference synthesises both strands into one coherent interpretive claim that neither strand could produce alone. | 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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