Methoden vergleichen

	Meta-Inferenz in Mixed Methods	Erklärendes sequenzielles Mixed-Methods-Design
Fachgebiet	Forschungsdesign	Forschungsdesign
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1998–2003	2007 (formalized in Creswell & Plano Clark's mixed methods typology)
Urheber	Abbas Tashakkori & Charles Teddlie	John W. Creswell & Vicki L. Plano Clark
Typ	Mixed methods integration procedure	Mixed methods research design
Wegweisende Quelle	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	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Aliasnamen	meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference	explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design
Verwandt	6	6
Zusammenfassung	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.	The explanatory sequential mixed methods design is a two-phase research approach in which a quantitative study is conducted first, and qualitative data are then collected specifically to help explain or elaborate the initial quantitative results. The quantitative phase carries greater priority; the qualitative phase is purposefully built around the findings — such as surprising results, outliers, or statistically significant relationships — that need deeper interpretation.