Methoden vergleichen

	Mixed Methods Matrix	Konkurrierendes Triangulations-Mixed-Methods-Design
Fachgebiet	Forschungsdesign	Forschungsdesign
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	2003–2010	2007 (formally named in Creswell & Plano Clark, 1st ed.)
Urheber	Tashakkori & Teddlie; Onwuegbuzie & Teddlie	John W. Creswell & Vicki L. Plano Clark
Typ	Research design classification and planning tool	Mixed methods research design
Wegweisende Quelle	Onwuegbuzie, A. J., & Teddlie, C. (2003). A framework for analyzing data in mixed methods research. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioral research (pp. 351-383). Sage.	Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
Aliasnamen	MMR matrix, mixed-methods design matrix, research design classification matrix, mixed methods typology matrix	convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Verwandt	6	5
Zusammenfassung	The mixed methods matrix is a systematic framework for classifying, planning, and comparing mixed methods research designs along key dimensions such as timing (concurrent vs. sequential), priority (quantitative- vs. qualitative-dominant), and point of integration. It provides researchers with a structured map to make design decisions explicit, communicate choices transparently, and locate a study within the broader mixed methods typology.	The concurrent triangulation mixed methods design collects quantitative and qualitative data simultaneously, analyzes each strand independently, and then merges the results to assess whether the two data sources corroborate one another. Often called the convergent parallel design, it is one of the foundational configurations in mixed methods research and is chosen specifically when the researcher wants to cross-validate or triangulate findings from two distinct methodological traditions.