Dossier de preuve de méthode

Quantitative-priority mixed methods design

Quantitative-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.

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Dossier source

Citations copiées telles quelles du dossier source de la méthode. Aucune vérification au niveau de la revendication n'en est déduite.

Quantitative-Priority Mixed Methods Research Design

Dossier de méthode taxonomique · process-pipeline / research-design

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. · ISBN 978-1483344379
Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. · ISBN 978-0761930129

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Méthodes apparentées

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Taxonomic bucketConcurrent Embedded Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketConcurrent Triangulation Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketExplanatory Sequential Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultiphase Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPragmatic Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketQualitative-priority mixed methods designmachine-suggested · Relational suggestion, not evidence.