Linganisha mbinu

	Uchanganuzi wa Mbinu Mchanganyiko Unaotawaliwa na Ubora wa Kiasi	Uamuzi Mkuu wa Mbinu Mseto
Nyanja	Muundo wa Utafiti	Muundo wa Utafiti
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2003–2010	1998–2003
Mwanzilishi	Abbas Tashakkori & Charles Teddlie	Abbas Tashakkori & Charles Teddlie
Aina	Mixed methods integration strategy	Mixed methods integration procedure
Chanzo asilia	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
Majina mbadala	QUAL-dominant meta-inference, qualitative-priority meta-inference, qual-dominant MMR meta-inference, qualitative-weighted mixed methods integration	meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference
Zinazohusiana	6	6
Muhtasari	Qualitative-dominant mixed methods meta-inference is the overarching inference-drawing process in a mixed methods study where qualitative findings carry primary explanatory weight. Meta-inference — the integrated conclusion drawn by combining qualitative and quantitative strands — is anchored to and interpreted through the richer, theoretically foregrounded qualitative findings, with quantitative results serving a supplementary, corroborating, or contextualizing function.	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.