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Disseny de mètodes mixts amb prioritat quantitativa×Disseny de mètodes mixts de triangulació concurrent×
CampDisseny de recercaDisseny de recerca
FamíliaProcess / pipelineProcess / pipeline
Any d'origen2003–20092007 (formally named in Creswell & Plano Clark, 1st ed.)
Autor originalCreswell & Plano Clark; Teddlie & TashakkoriJohn W. Creswell & Vicki L. Plano Clark
TipusMixed methods research designMixed methods research design
Font seminalCreswell, 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
ÀliesQUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methodsconvergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Relacionats65
ResumQuantitative-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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ScholarGateCompara mètodes: Quantitative-priority mixed methods design · Concurrent Triangulation Mixed Methods Design. Recuperat el 2026-06-15 de https://scholargate.app/ca/compare