Módszerek összehasonlítása

	Értékelés-orientált vegyes módszertani meta-következtetés	Transformatív vegyes módszertani dizájn
Tudományterület	Kutatástervezés	Kutatástervezés
Módszercsalád	Process / pipeline	Process / pipeline
Keletkezés éve	2000s–2010s	2003–2009
Megalkotó	Abbas Tashakkori and Charles Teddlie (meta-inference); evaluation-oriented framing associated with Donna M. Mertens and Jennifer C. Greene	Donna M. Mertens; John W. Creswell & Vicki L. Plano Clark
Típus	Mixed methods research design variant	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	evaluation MMR meta-inference, evaluation-focused meta-inference, mixed methods evaluation inference, meta-inference in evaluation research	transformative design, advocacy mixed methods, emancipatory mixed methods, social-justice mixed methods
Kapcsolódó	5	6
Összefoglaló	Evaluation-oriented mixed methods meta-inference is a rigorous concluding process in program evaluation research in which the researcher integrates inferences drawn from both quantitative and qualitative strands of a mixed methods study into a single, coherent, higher-order conclusion. This meta-inference is explicitly anchored to evaluation questions — such as program worth, merit, or impact — and is judged by dual quality criteria: inferential consistency and interpretive consistency across strands.	Transformative mixed methods design embeds a social-justice or advocacy theoretical framework — such as feminism, critical race theory, disability studies, or indigenous worldviews — as the overarching lens that guides every decision about data collection, integration, and use. Both quantitative and qualitative strands serve the goal of advancing equity, challenging power structures, and producing actionable knowledge for marginalized communities.