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Jednakotežinski višerazinski mješoviti dizajn metoda×Dizajn mješovitih metoda s istovremenom triangulacijom×
PodručjeDizajn istraživanjaDizajn istraživanja
ObiteljProcess / pipelineProcess / pipeline
Godina nastanka2000s–2010s2007 (formally named in Creswell & Plano Clark, 1st ed.)
TvoracTashakkori & Teddlie; Creswell & Plano ClarkJohn W. Creswell & Vicki L. Plano Clark
VrstaMixed methods research designMixed methods research design
Temeljni izvorCreswell, 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
Drugi naziviQUAN+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
Srodne65
SažetakEqual-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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ScholarGateUsporedite metode: Equal-weight multilevel mixed methods · Concurrent Triangulation Mixed Methods Design. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare