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| Konkurens háromszögeléses vegyes módszertani dizájn× | Feltáró Szekvenciális Vegyes Módszertani Tervezés× | |
|---|---|---|
| Tudományterület | Kutatástervezés | Kutatástervezés |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | 2007 (formally named in Creswell & Plano Clark, 1st ed.) | 1990s–2000s (codified by ~2007) |
| Megalkotó | John W. Creswell & Vicki L. Plano Clark | John W. Creswell & Vicki L. Plano Clark |
| Típus | Mixed methods research design | Mixed methods research design |
| Alapmű≠ | Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Alternatív nevek | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation | QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods |
| Kapcsolódó≠ | 5 | 6 |
| Összefoglaló≠ | 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. | The exploratory sequential mixed methods design is a two-phase research framework in which a qualitative phase is conducted first to explore a poorly understood phenomenon, and the findings then inform a subsequent quantitative phase — typically to develop and test a survey instrument, measure a theory, or generalize qualitative insights to a larger population. The qualitative strand guides what is measured; the quantitative strand tests or extends those findings at scale. |
| ScholarGateAdatkészlet ↗ |
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