Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Diseño Mixto Concurrente Embebido con Dominancia Cuantitativa× | Diseño de métodos mixtos con prioridad cuantitativa× | |
|---|---|---|
| Campo | Diseño de investigación | Diseño de investigación |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 2003–2007 | 2003–2009 |
| Autor original≠ | John W. Creswell & Vicki L. Plano Clark | Creswell & Plano Clark; Teddlie & Tashakkori |
| 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. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Alias | QUAN-dominant embedded design, concurrent embedded design (QUAN priority), quantitative-primary embedded mixed methods, QUAN+qual embedded design | QUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methods |
| Relacionados≠ | 5 | 6 |
| Resumen≠ | A mixed methods design in which a dominant quantitative study (survey, experiment, or other large-scale numeric inquiry) is conducted simultaneously with a smaller, embedded qualitative component. The qualitative strand serves a secondary, supporting role — such as explaining mechanisms, capturing participant experience, or monitoring implementation — while the quantitative strand drives the primary research questions and conclusions. Both strands run concurrently rather than sequentially. | Quantitative-priority mixed methods design is a research approach in which quantitative data and analysis carry the primary explanatory weight, while qualitative data play a supplementary or corroborating role. The researcher collects and analyzes quantitative data first (or concurrently with greater emphasis), then uses qualitative findings to elaborate, explain, or contextualize the statistical results. Priority and sequence together define where integration occurs and how each strand informs the other. |
| ScholarGateConjunto de datos ↗ |
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