Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Método Mixto Secuencial Explicativo Participativo× | Diseño de Métodos Mixtos de Triangulación Concurrente× | |
|---|---|---|
| Campo | Diseño de investigación | Diseño de investigación |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 2000s-2010s | 2007 (formally named in Creswell & Plano Clark, 1st ed.) |
| Autor original≠ | Creswell & Plano Clark (explanatory sequential structure); Mertens (transformative/participatory lens) | 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 | participatory QUAN-to-QUAL design, community-based explanatory sequential design, transformative explanatory sequential mixed methods, participatory two-phase sequential design | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation |
| Relacionados | 5 | 5 |
| Resumen≠ | The participatory explanatory sequential mixed methods design combines the two-phase QUAN-to-QUAL structure of the explanatory sequential design with a participatory or transformative worldview. Community members and stakeholders are involved as collaborators — not merely subjects — across all stages, from formulating research questions to interpreting results. Quantitative data are collected and analyzed first; findings that need deeper explanation then drive a second, qualitative phase conducted with and by the community. | 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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