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Gleichgewichtete Mehrebenen-Mixed-Methods-Designs×Konkurrierendes Triangulations-Mixed-Methods-Design×
FachgebietForschungsdesignForschungsdesign
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr2000s–2010s2007 (formally named in Creswell & Plano Clark, 1st ed.)
UrheberTashakkori & Teddlie; Creswell & Plano ClarkJohn W. Creswell & Vicki L. Plano Clark
TypMixed methods research designMixed methods research design
Wegweisende QuelleCreswell, J. W., & Plano Clark, V. L. (2017). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
AliasnamenQUAN+QUAL multilevel design, equal-status multilevel mixed methods, balanced multilevel mixed methods, equal-priority multilevel mixed methodsconvergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Verwandt65
ZusammenfassungEqual-weight multilevel mixed methods is a mixed methods design in which quantitative and qualitative data strands are collected at two or more distinct levels of a social system — such as students, classrooms, and schools — and both strands carry equal analytic priority. The QUAN+QUAL notation (where '+' signals equal weight) is applied across each level, and integration occurs both within and between levels to build a comprehensive, multi-perspectival understanding.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.
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ScholarGateMethoden vergleichen: Equal-weight multilevel mixed methods · Concurrent Triangulation Mixed Methods Design. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare