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Disegno di metodi misti multilivello a predominanza quantitativa×Disegno misto a priorità quantitativa×
CampoDisegno della ricercaDisegno della ricerca
FamigliaProcess / pipelineProcess / pipeline
Anno di origine2003–20102003–2009
IdeatoreTashakkori & Teddlie (multilevel MMR); dominant-status typology formalized by Morse (1991) and elaborated by Tashakkori & TeddlieCreswell & Plano Clark; Teddlie & Tashakkori
TipoMixed methods research designMixed methods research design
Fonte seminaleTashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). Sage Publications. ISBN: 978-1412972666Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
AliasQUAN-dominant multilevel MMR, multilevel mixed methods with quantitative priority, QUAN-priority multilevel design, dominant-status multilevel mixed methodsQUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methods
Correlati66
SintesiQuantitative-dominant multilevel mixed methods design is a mixed methods approach in which quantitative inquiry carries the primary evidential weight while qualitative data play an auxiliary, illuminating role, and both strands are applied across two or more hierarchically nested levels of analysis — for example, students within classrooms within schools. The design is suited to research questions that require both statistical modeling of nested structures and contextual understanding of how those structures operate.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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ScholarGateConfronta i metodi: Quantitative-dominant multilevel mixed methods · Quantitative-priority mixed methods design. Consultato il 2026-06-17 da https://scholargate.app/it/compare