เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| Embedded Pragmatic Mixed Methods× | ระเบียบวิธีวิจัยแบบผสมผสานเชิงอธิบายแบบลำดับขั้น× | |
|---|---|---|
| สาขาวิชา | การออกแบบการวิจัย | การออกแบบการวิจัย |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 2000s–2010s | 2007 (formalized in Creswell & Plano Clark's mixed methods typology) |
| ผู้ริเริ่ม≠ | Creswell & Plano Clark (embedded structure); Morgan & Tashakkori (pragmatic paradigm integration) | John W. Creswell & Vicki L. Plano Clark |
| ประเภท | Mixed methods research design | Mixed methods research design |
| แหล่งต้นตำรับ | 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 |
| ชื่อเรียกอื่น | embedded pragmatic MMR, pragmatic nested mixed methods, embedded pragmatist MMD, nested pragmatic mixed design | explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design |
| ที่เกี่ยวข้อง≠ | 5 | 6 |
| สรุป≠ | Embedded pragmatic mixed methods is a mixed methods design in which one data strand (typically qualitative) is nested within a larger, dominant strand (typically quantitative), and the entire study is guided by a pragmatist philosophical stance — selecting methods for what works best to answer the research question rather than adhering to a fixed paradigmatic commitment. The nested strand enriches or contextualises the dominant strand without standing on its own. | The explanatory sequential mixed methods design is a two-phase research approach in which a quantitative study is conducted first, and qualitative data are then collected specifically to help explain or elaborate the initial quantitative results. The quantitative phase carries greater priority; the qualitative phase is purposefully built around the findings — such as surprising results, outliers, or statistically significant relationships — that need deeper interpretation. |
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