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| Thiết kế phương pháp hỗn hợp đa pha, trội về định lượng× | Thiết kế phương pháp hỗn hợp đa giai đoạn× | |
|---|---|---|
| Lĩnh vực | Thiết kế nghiên cứu | Thiết kế nghiên cứu |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 2000s–2010s | 2007 (first edition of Designing and Conducting Mixed Methods Research) |
| Người khởi xướng≠ | Creswell & Plano Clark (multiphase framework); Tashakkori & Teddlie (priority notation) | John W. Creswell & Vicki L. Plano Clark |
| 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. link ↗ | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute |
| Tên gọi khác | QUAN-dominant multiphase MMR, quantitatively driven multiphase design, multiphase mixed methods with quantitative priority, QUAN-priority multiphase design | multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods |
| Liên quan | 6 | 6 |
| Tóm tắt≠ | A quantitative-dominant multiphase mixed methods design conducts a series of distinct research phases — at least two, often three or more — in which quantitative data and analyses bear the primary weight of answering the research questions, while qualitative components serve a supporting or explanatory role. Phases are linked by explicit integration points where findings from one phase inform the design or interpretation of the next. | The multiphase mixed methods design is a sustained research program in which quantitative and qualitative strands are combined across three or more sequential phases — or across multiple related projects — to address a central program objective. Each phase builds on the prior phase's findings, making the design well-suited to long-term evaluation, intervention development, and large-scale program assessment where a single data-collection cycle cannot fully address the complexity of the research problem. |
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