Methoden vergleichen

	Gleichzeitige Mixed Methods Matrix	Erklärendes sequenzielles Mixed-Methods-Design
Fachgebiet	Forschungsdesign	Forschungsdesign
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	2000s–2010s	2007 (formalized in Creswell & Plano Clark's mixed methods typology)
Urheber	Teddlie & Tashakkori; Creswell & Plano Clark	John W. Creswell & Vicki L. Plano Clark
Typ	Mixed methods research design	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	concurrent MM matrix, simultaneous mixed methods matrix, parallel mixed methods matrix, concurrent matrix mixed design	explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design
Verwandt	6	6
Zusammenfassung	The concurrent mixed methods matrix is a mixed methods design in which quantitative and qualitative data strands are collected simultaneously and organized within a structured matrix framework. The matrix maps design dimensions — such as research questions, data sources, priority, and integration points — across rows and columns, making the logical architecture of the study explicit and auditable. Both strands are analyzed independently before being merged through a matrix-guided integration step.	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.