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。
| 定性主导的转型性混合方法设计× | 定性优先混合方法设计× | |
|---|---|---|
| 领域 | 研究设计 | 研究设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2003–2010 | 1991–2003 (formalized in mixed methods typologies) |
| 提出者≠ | Donna M. Mertens (transformative framework); John W. Creswell & Vicki L. Plano Clark (weighting typology) | Janice Morse; John W. Creswell & Vicki L. Plano Clark |
| 类型 | Mixed methods research design | Mixed methods research design |
| 开创性文献≠ | 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. ISBN: 978-1483344379 |
| 别名 | QUAL-dominant transformative MMR, qualitative-priority transformative design, QUAL+ transformative mixed methods, transformative mixed methods with qualitative priority | QUAL-dominant mixed methods, qualitative-dominant mixed design, qual-priority MMR, qualitative-weighted mixed methods |
| 相关 | 6 | 6 |
| 摘要≠ | 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. | 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. |
| ScholarGate数据集 ↗ |
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