Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Hindamis-orienteeritud segameetodite metainferents× | Segameetodite meta-järeldus× | |
|---|---|---|
| Valdkond | Uurimisdisain | Uurimisdisain |
| Perekond | Process / pipeline | Process / pipeline |
| Tekkeaasta≠ | 2000s–2010s | 1998–2003 |
| Looja≠ | Abbas Tashakkori and Charles Teddlie (meta-inference); evaluation-oriented framing associated with Donna M. Mertens and Jennifer C. Greene | Abbas Tashakkori & Charles Teddlie |
| Tüüp≠ | Mixed methods research design variant | Mixed methods integration procedure |
| Algallikas≠ | Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666 | 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 |
| Rööpnimetused | evaluation MMR meta-inference, evaluation-focused meta-inference, mixed methods evaluation inference, meta-inference in evaluation research | meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference |
| Seotud≠ | 5 | 6 |
| Kokkuvõte≠ | Evaluation-oriented mixed methods meta-inference is a rigorous concluding process in program evaluation research in which the researcher integrates inferences drawn from both quantitative and qualitative strands of a mixed methods study into a single, coherent, higher-order conclusion. This meta-inference is explicitly anchored to evaluation questions — such as program worth, merit, or impact — and is judged by dual quality criteria: inferential consistency and interpretive consistency across strands. | 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. |
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