方法对比
并排查看您选择的方法;存在差异的行会高亮显示。
| 基于设计的干预混合方法× | 探索性序列混合方法设计× | |
|---|---|---|
| 领域 | 研究设计 | 研究设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2003–2010s (convergence of DBR and mixed methods traditions) | 1990s–2000s (codified by ~2007) |
| 提出者≠ | Design-Based Research Collective; Creswell & Plano Clark (mixed methods framework) | John W. Creswell & Vicki L. Plano Clark |
| 类型≠ | Mixed methods research design variant | Mixed methods research design |
| 开创性文献≠ | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483344452 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| 别名 | DBR intervention mixed methods, design-based intervention study, design experiment with mixed methods, intervention design-based mixed methods | QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods |
| 相关 | 6 | 6 |
| 摘要≠ | Design-based intervention mixed methods is a research design that embeds both quantitative and qualitative data collection within iterative intervention cycles drawn from design-based research (DBR). The approach systematically tests and refines a practical intervention — typically an educational program, curriculum, or organizational solution — while using qualitative data to explain why and how the intervention works, and quantitative data to assess its measurable impact. Iteration between design, testing, and revision is the hallmark of this approach. | The exploratory sequential mixed methods design is a two-phase research framework in which a qualitative phase is conducted first to explore a poorly understood phenomenon, and the findings then inform a subsequent quantitative phase — typically to develop and test a survey instrument, measure a theory, or generalize qualitative insights to a larger population. The qualitative strand guides what is measured; the quantitative strand tests or extends those findings at scale. |
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