Comparar métodos

	Diseño mixto de prioridad cualitativa incrustado	Diseño Exploratorio Secuencial de Métodos Mixtos
Campo	Diseño de investigación	Diseño de investigación
Familia	Process / pipeline	Process / pipeline
Año de origen	2007 (first edition of Designing and Conducting Mixed Methods Research)	1990s–2000s (codified by ~2007)
Autor original	Creswell & 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: 978-1483358468	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Alias	qual-dominant embedded design, qualitative-primary embedded MMR, embedded QUAL+quan design, nested qualitative-priority design	QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
Relacionados	5	6
Resumen	The embedded qualitative-priority mixed design nests a secondary quantitative strand within a dominant qualitative inquiry. The qualitative strand drives the research logic, framing the questions, guiding data collection, and anchoring interpretation, while the quantitative component plays a supporting role — typically measuring outcomes, tracking context variables, or confirming patterns emerging from the qualitative core. The result is a rich, theoretically grounded account that remains rooted in participants' meanings while gaining empirical precision where needed.	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.