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| Thiết kế phương pháp hỗn hợp đa cấp ưu tiên định tính× | Thiết kế phương pháp hỗn hợp ưu tiên định tính× | |
|---|---|---|
| Lĩnh vực | Thiết kế nghiên cứu | Thiết kế nghiên cứu |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 2000s–2010s | 1991–2003 (formalized in mixed methods typologies) |
| Người khởi xướng≠ | Tashakkori & Teddlie; Leech & Onwuegbuzie | Janice Morse; John W. Creswell & Vicki L. Plano Clark |
| Loại | Mixed methods research design | Mixed methods research design |
| Công trình gốc≠ | Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). Sage Publications. ISBN: 978-1412972666 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Tên gọi khác | QUAL-dominant multilevel MMR, qualitative-priority multilevel mixed methods, qual-dominant nested multilevel design, QUAL+quan multilevel design | QUAL-dominant mixed methods, qualitative-dominant mixed design, qual-priority MMR, qualitative-weighted mixed methods |
| Liên quan≠ | 4 | 6 |
| Tóm tắt≠ | 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-priority mixed methods design is a mixed methods approach in which qualitative inquiry carries the greater weight — in terms of volume, analytical depth, and interpretive authority — while a supplementary quantitative strand provides supporting evidence. The design acknowledges that the phenomenon under study is best understood through meaning-making, lived experience, or social processes, with numbers used to corroborate or contextualize, not to dominate, the research story. |
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