Comparar métodos

	Diseño de Métodos Mixtos Pragmático Cuantitativo-Dominante	Meta-inferencia de Métodos Mixtos
Campo	Diseño de investigación	Diseño de investigación
Familia	Process / pipeline	Process / pipeline
Año de origen	1998–2010	1998–2003
Autor original	Tashakkori & Teddlie (mixed methods paradigm discourse); pragmatic strand systematized by Morgan and Creswell	Abbas Tashakkori & Charles Teddlie
Tipo	Mixed methods research design	Mixed methods integration procedure
Fuente seminal	Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666	Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129
Alias	QUAN-dominant pragmatic MMR, pragmatic quantitative-priority mixed design, quan-priority pragmatic design	meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference
Relacionados	6	6
Resumen	A mixed methods design in which quantitative data and analysis carry the primary explanatory weight while a smaller qualitative component provides contextual depth. Grounded in philosophical pragmatism, design decisions — including timing, sequencing, and the scope of each strand — are driven by what best answers the research question rather than by adherence to a single paradigmatic tradition.	Mixed methods meta-inference is the overarching conclusion drawn at the end of a mixed methods study by systematically combining and integrating the separate inferences produced by the quantitative and qualitative strands. It represents the highest-level interpretive act in mixed methods research: moving beyond strand-specific findings to produce a unified, coherent understanding of the research problem that neither strand could yield alone.