Módszerek összehasonlítása

	Kvalitatív-domináns vegyes módszertani meta-következtetés	Kvalitatív-prioritású vegyes módszertani dizájn
Tudományterület	Kutatástervezés	Kutatástervezés
Módszercsalád	Process / pipeline	Process / pipeline
Keletkezés éve	2003–2010	1991–2003 (formalized in mixed methods typologies)
Megalkotó	Abbas Tashakkori & Charles Teddlie	Janice Morse; John W. Creswell & Vicki L. Plano Clark
Típus	Mixed methods integration strategy	Mixed methods research design
Alapmű	Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Alternatív nevek	QUAL-dominant meta-inference, qualitative-priority meta-inference, qual-dominant MMR meta-inference, qualitative-weighted mixed methods integration	QUAL-dominant mixed methods, qualitative-dominant mixed design, qual-priority MMR, qualitative-weighted mixed methods
Kapcsolódó	6	6
Összefoglaló	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.	Qualitative-priority mixed methods design is a mixed methods approach in which qualitative inquiry carries the greater weight — in terms of volume, analytical depth, and interpretive authority — while a supplementary quantitative strand provides supporting evidence. The design acknowledges that the phenomenon under study is best understood through meaning-making, lived experience, or social processes, with numbers used to corroborate or contextualize, not to dominate, the research story.