Salīdzināt metodes

	Kvantitatīvi dominējoša jauktu metožu meta-inferenču	Jaukto metožu metainference
Nozare	Pētījuma dizains	Pētījuma dizains
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	2003–2007	1998–2003
Autors	Tashakkori & Teddlie (meta-inference concept); Creswell & Plano Clark (dominance weighting framework)	Abbas Tashakkori & Charles Teddlie
Tips	Mixed methods integration procedure	Mixed methods integration procedure
Pirmavots	Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. ISBN: 978-0761920731	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
Citi nosaukumi	QUAN-dominant meta-inference, quantitatively weighted meta-inference, QUAN-priority integration inference, quantitative-weighted mixed inference	meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference
Saistītās	6	6
Kopsavilkums	Quantitative-dominant mixed methods meta-inference is an integration procedure in which the researcher draws an overarching conclusion by combining inferences from both quantitative and qualitative strands, while explicitly assigning greater evidential weight to the quantitative results. The qualitative strand serves a supporting, elaborating, or contextualizing role rather than an equal voice in the final interpretation.	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.