Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Métodos Mixtos Transformadores Concurrentes× | Diseño de Métodos Mixtos de Triangulación Concurrente× | |
|---|---|---|
| Campo | Diseño de investigación | Diseño de investigación |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 2000s (formalized ~2007–2009) | 2007 (formally named in Creswell & Plano Clark, 1st ed.) |
| Autor original≠ | Donna M. Mertens; John W. Creswell & Vicki L. Plano Clark | John W. Creswell & Vicki L. Plano Clark |
| Tipo | Mixed methods research design | Mixed methods research design |
| Fuente seminal≠ | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 978-1483344379 | Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| Alias | concurrent transformative design, simultaneous transformative mixed methods, parallel transformative design, transformative concurrent design | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation |
| Relacionados | 5 | 5 |
| Resumen≠ | Concurrent transformative mixed methods design collects quantitative and qualitative data simultaneously, guided by a transformative theoretical lens — such as feminist, critical race, disability, or indigenous frameworks — that foregrounds equity, power, and social change. The design gives either strand equal or unequal priority, but both strands are explicitly shaped by the transformative worldview. Findings are merged or compared to generate actionable insights that advocate for marginalized communities. | 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. |
| ScholarGateConjunto de datos ↗ |
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