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Kvantitativ-prioriteret mixed methods design×Konkurrent triangulering mixed methods design×
FagområdeForskningsdesignForskningsdesign
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår2003–20092007 (formally named in Creswell & Plano Clark, 1st ed.)
OphavspersonCreswell & Plano Clark; Teddlie & TashakkoriJohn W. Creswell & Vicki L. Plano Clark
TypeMixed methods research designMixed methods research design
Oprindelig kildeCreswell, J. W., & Plano Clark, V. L. (2018). 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
AliasserQUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methodsconvergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Relaterede65
ResuméQuantitative-priority mixed methods design is a research approach in which quantitative data and analysis carry the primary explanatory weight, while qualitative data play a supplementary or corroborating role. The researcher collects and analyzes quantitative data first (or concurrently with greater emphasis), then uses qualitative findings to elaborate, explain, or contextualize the statistical results. Priority and sequence together define where integration occurs and how each strand informs the other.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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ScholarGateSammenlign metoder: Quantitative-priority mixed methods design · Concurrent Triangulation Mixed Methods Design. Hentet 2026-06-15 fra https://scholargate.app/da/compare