Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Segameetodite meta-järeldus× | Samaaegne põimitud segaandmete disain× | |
|---|---|---|
| Valdkond | Uurimisdisain | Uurimisdisain |
| Perekond | Process / pipeline | Process / pipeline |
| Tekkeaasta≠ | 1998–2003 | 2003–2007 |
| Looja≠ | Abbas Tashakkori & Charles Teddlie | John W. Creswell & Vicki L. Plano Clark |
| Tüüp≠ | Mixed methods integration procedure | Mixed methods research design |
| Algallikas≠ | Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129 | Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| Rööpnimetused | meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference | embedded mixed methods, nested mixed methods design, concurrent nested design, CEMM |
| Seotud | 6 | 6 |
| Kokkuvõte≠ | Mixed methods meta-inference is the overarching conclusion drawn at the end of a mixed methods study by systematically combining and integrating the separate inferences produced by the quantitative and qualitative strands. It represents the highest-level interpretive act in mixed methods research: moving beyond strand-specific findings to produce a unified, coherent understanding of the research problem that neither strand could yield 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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