So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Phương pháp hỗn hợp tuần tự giải thích ưu tiên định tính× | Thiết kế phương pháp hỗn hợp ưu tiên định tính× | |
|---|---|---|
| Lĩnh vực | Thiết kế nghiên cứu | Thiết kế nghiên cứu |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 2000s (formalized in Creswell & Plano Clark 2007, 2011, 2018) | 1991–2003 (formalized in mixed methods typologies) |
| Người khởi xướng≠ | Creswell & Plano Clark (explanatory sequential base); Morse (priority notation) | Janice Morse; 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. 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≠ | QUAL-dominant explanatory sequential design, qual-priority explanatory sequential MMR, qualitative-weighted explanatory sequential design | QUAL-dominant mixed methods, qualitative-dominant mixed design, qual-priority MMR, qualitative-weighted mixed methods |
| Liên quan | 6 | 6 |
| Tóm tắt≠ | The qualitative-dominant explanatory sequential mixed methods design follows a two-phase sequential structure — quantitative data collected first, qualitative data collected second — while assigning dominant analytical weight to the qualitative strand. The quantitative phase surfaces statistical patterns that require deeper explanation; the qualitative phase, which carries greater interpretive authority in this variant, provides the rich contextual understanding that the numbers alone cannot supply. | 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. |
| ScholarGateBộ dữ liệu ↗ |
|
|