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| Thiết kế phương pháp hỗn hợp biến đổi trọng số bình đẳng× | Thiết kế phương pháp hỗn hợp ưu tiên định lượng× | |
|---|---|---|
| Lĩnh vực | Thiết kế nghiên cứu | Thiết kế nghiên cứu |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 2003–2011 | 2003–2009 |
| Người khởi xướng≠ | Donna M. Mertens; John W. Creswell & Vicki L. Plano Clark | Creswell & Plano Clark; Teddlie & Tashakkori |
| Loại | Mixed methods research design | Mixed methods research design |
| Công trình gốc | 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 |
| Tên gọi khác | QUAN+QUAL transformative design, equal-priority transformative MMR, transformative equal-status mixed design, balanced transformative mixed methods | QUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methods |
| Liên quan | 6 | 6 |
| Tóm tắt≠ | The equal-weight transformative mixed methods design combines quantitative and qualitative strands at equal priority (QUAN + QUAL) within an overarching transformative theoretical framework — such as feminist, critical race, disability rights, or social justice theory. Both data types carry equivalent evidential weight, and the entire study is structured to challenge inequity, give voice to marginalized groups, and generate findings oriented toward advocacy and social change. | 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. |
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