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Кількісно-домінуючий прагматичний змішаний дизайн×Змішане мета-виведення×
ГалузьДизайн дослідженняДизайн дослідження
РодинаProcess / pipelineProcess / pipeline
Рік появи1998–20101998–2003
Автор методуTashakkori & Teddlie (mixed methods paradigm discourse); pragmatic strand systematized by Morgan and CreswellAbbas Tashakkori & Charles Teddlie
ТипMixed methods research designMixed methods integration procedure
Основоположне джерелоTashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129
Інші назвиQUAN-dominant pragmatic MMR, pragmatic quantitative-priority mixed design, quan-priority pragmatic designmeta-inference, mixed methods overall inference, integrated inference, MMR meta-inference
Пов'язані66
ПідсумокA mixed methods design in which quantitative data and analysis carry the primary explanatory weight while a smaller qualitative component provides contextual depth. Grounded in philosophical pragmatism, design decisions — including timing, sequencing, and the scope of each strand — are driven by what best answers the research question rather than by adherence to a single paradigmatic tradition.Mixed methods meta-inference is the overarching conclusion drawn at the end of a mixed methods study by systematically combining and integrating the separate inferences produced by the quantitative and qualitative strands. It represents the highest-level interpretive act in mixed methods research: moving beyond strand-specific findings to produce a unified, coherent understanding of the research problem that neither strand could yield alone.
ScholarGateНабір даних
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ScholarGateПорівняння методів: Quantitative-dominant pragmatic mixed methods · Mixed Methods Meta-Inference. Отримано 2026-06-18 з https://scholargate.app/uk/compare