Sammenlign metoder

	Samtidig matrise for blandede metoder	Konkurrent triangulering blandet metode-design
Fagfelt	Forskningsdesign	Forskningsdesign
Familie	Process / pipeline	Process / pipeline
Opprinnelsesår	2000s–2010s	2007 (formally named in Creswell & Plano Clark, 1st ed.)
Opphavsperson	Teddlie & Tashakkori; Creswell & Plano Clark	John W. Creswell & Vicki L. Plano Clark
Type	Mixed methods research design	Mixed methods research design
Opprinnelig kilde	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. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
Alias	concurrent MM matrix, simultaneous mixed methods matrix, parallel mixed methods matrix, concurrent matrix mixed design	convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Relaterte	6	5
Sammendrag	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 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.