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| Thiết kế phương pháp hỗn hợp biến đổi ưu thế định tính× | Thiết kế nghiên cứu phương pháp hỗn hợp chuyển đổi lồng ghép× | |
|---|---|---|
| Lĩnh vực | Thiết kế nghiên cứu | Thiết kế nghiên cứu |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời | 2003–2010 | 2003–2010 |
| Người khởi xướng≠ | Donna M. Mertens (transformative framework); John W. Creswell & Vicki L. Plano Clark (weighting typology) | John W. Creswell & Vicki L. Plano Clark (embedded design); Donna M. Mertens (transformative framework) |
| Loại | Mixed methods research design | Mixed methods research design |
| Công trình gốc≠ | Mertens, D. M. (2009). Transformative Research and Evaluation. Guilford Press. ISBN: 978-1593856267 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 978-1483344379 |
| Tên gọi khác≠ | QUAL-dominant transformative MMR, qualitative-priority transformative design, QUAL+ transformative mixed methods, transformative mixed methods with qualitative priority | transformative embedded design, embedded mixed methods with transformative framework, transformative nested mixed methods |
| Liên quan≠ | 6 | 2 |
| Tóm tắt≠ | 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. | Embedded transformative mixed methods is a research design that nests one type of data (quantitative or qualitative) inside a dominant dataset of the other type, with both strands guided by an overarching transformative framework — such as feminist, disability rights, or social justice theory. The design serves research questions where statistical breadth and in-depth qualitative insight must both speak directly to equity, empowerment, or systemic change goals. |
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