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Schéma de méthodes mixtes à priorité quantitative×Schéma de devis mixte imbriqué concurrent×
DomaineConception de la rechercheConception de la recherche
FamilleProcess / pipelineProcess / pipeline
Année d'origine2003–20092003–2007
Auteur d'origineCreswell & Plano Clark; Teddlie & TashakkoriJohn W. Creswell & Vicki L. Plano Clark
TypeMixed methods research designMixed methods research design
Source fondatriceCreswell, 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
AliasQUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methodsembedded mixed methods, nested mixed methods design, concurrent nested design, CEMM
Apparentées66
RésuméQuantitative-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 embedded mixed methods design collects quantitative and qualitative data at the same time, but assigns unequal priority to the two strands: one (usually quantitative) serves as the primary study, while the other (usually qualitative) is nested inside it to answer a supplementary question. The embedded strand does not stand alone; it provides a different perspective on the same phenomenon within a single unified study.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Quantitative-priority mixed methods design · Concurrent Embedded Mixed Methods Design. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare