Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Kvalitatiivselt domineeriv segameetodite metainferents× | Samaaegne triangulatsiooni segameetodite disain× | |
|---|---|---|
| Valdkond | Uurimisdisain | Uurimisdisain |
| Perekond | Process / pipeline | Process / pipeline |
| Tekkeaasta≠ | 2003–2010 | 2007 (formally named in Creswell & Plano Clark, 1st ed.) |
| Looja≠ | Abbas Tashakkori & Charles Teddlie | John W. Creswell & Vicki L. Plano Clark |
| Tüüp≠ | Mixed methods integration strategy | Mixed methods research design |
| Algallikas≠ | 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. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| Rööpnimetused | QUAL-dominant meta-inference, qualitative-priority meta-inference, qual-dominant MMR meta-inference, qualitative-weighted mixed methods integration | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation |
| Seotud≠ | 6 | 5 |
| Kokkuvõte≠ | Qualitative-dominant mixed methods meta-inference is the overarching inference-drawing process in a mixed methods study where qualitative findings carry primary explanatory weight. Meta-inference — the integrated conclusion drawn by combining qualitative and quantitative strands — is anchored to and interpreted through the richer, theoretically foregrounded qualitative findings, with quantitative results serving a supplementary, corroborating, or contextualizing function. | The concurrent triangulation mixed methods design collects quantitative and qualitative data simultaneously, analyzes each strand independently, and then merges the results to assess whether the two data sources corroborate one another. Often called the convergent parallel design, it is one of the foundational configurations in mixed methods research and is chosen specifically when the researcher wants to cross-validate or triangulate findings from two distinct methodological traditions. |
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