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| Равнотеглов прагматичен смесен дизайн на изследването× | Количествено-приоритетен смесен метод× | |
|---|---|---|
| Област | Дизайн на изследването | Дизайн на изследването |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2000s–2010s | 2003–2009 |
| Създател≠ | Creswell, Plano Clark, Johnson, Onwuegbuzie (mixed methods methodology scholars) | Creswell & Plano Clark; Teddlie & Tashakkori |
| Тип | Mixed methods research design | Mixed methods research design |
| Основополагащ източник | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Други названия | equal-status pragmatic MMR, QUAL=QUAN pragmatic design, balanced pragmatic mixed methods, equal-priority pragmatic design | QUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methods |
| Свързани | 6 | 6 |
| Резюме≠ | Equal-weight pragmatic mixed methods is a research design in which quantitative and qualitative strands are assigned the same methodological priority (QUAL = QUAN) and conducted from a pragmatist philosophical stance. Rather than privileging one paradigm, the researcher selects and combines methods that best answer the research question — treating practical utility as the primary criterion for all design decisions. | 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. |
| ScholarGateНабор от данни ↗ |
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