Methoden vergleichen

	Konkurrente Mixed-Methods-Meta-Inferenz	Erklärendes sequenzielles Mixed-Methods-Design
Fachgebiet	Forschungsdesign	Forschungsdesign
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	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 research design	Mixed methods research design
Wegweisende Quelle	Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. ISBN: 978-0761920731	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Aliasnamen	concurrent meta-inference, simultaneous mixed methods meta-inference, parallel strand meta-inference, QUAN+QUAL meta-inference	explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design
Verwandt	6	6
Zusammenfassung	Concurrent mixed methods meta-inference is a research design in which quantitative and qualitative data strands are collected simultaneously and then subjected to a formal meta-inferential process — drawing a unified, overarching conclusion that transcends what either strand alone could produce. The concurrent timing means neither strand informs the collection of the other; instead, both strands converge at the analysis-integration stage where meta-inferences are constructed.	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.