Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Дизайн с преобладаващи качествени данни и многоетапен смесен метод× | Дизайн с доминиращи качествени методи и трансформираща насоченост× | |
|---|---|---|
| Област | Дизайн на изследването | Дизайн на изследването |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2000s–2010s | 2003–2010 |
| Създател≠ | Tashakkori & Teddlie; Leech & Onwuegbuzie | Donna M. Mertens (transformative framework); John W. Creswell & Vicki L. Plano Clark (weighting typology) |
| Тип | Mixed methods research design | Mixed methods research design |
| Основополагащ източник≠ | Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). Sage Publications. ISBN: 978-1412972666 | Mertens, D. M. (2009). Transformative Research and Evaluation. Guilford Press. ISBN: 978-1593856267 |
| Други названия | QUAL-dominant multilevel MMR, qualitative-priority multilevel mixed methods, qual-dominant nested multilevel design, QUAL+quan multilevel design | QUAL-dominant transformative MMR, qualitative-priority transformative design, QUAL+ transformative mixed methods, transformative mixed methods with qualitative priority |
| Свързани≠ | 4 | 6 |
| Резюме≠ | Qualitative-dominant multilevel mixed methods design addresses research questions nested across two or more social levels — such as individuals within classrooms within schools — while assigning primary inferential weight to the qualitative strand. Quantitative data collected at one or more levels serve a supporting role: they contextualize, corroborate, or sharpen qualitative findings rather than generate the principal conclusions. The design is especially productive when understanding processes and meanings at multiple organizational layers is more important than population-level statistical estimates. | Qualitative-dominant transformative mixed methods is a mixed methods research design in which qualitative data carry the primary evidential weight while quantitative data serve a supplementary role, and the entire inquiry is governed by a transformative theoretical framework — one committed to social justice, equity, and the amplification of marginalized voices. The design produces rich contextual understanding alongside statistical corroboration to advance emancipatory or advocacy-oriented goals. |
| ScholarGateНабор от данни ↗ |
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