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| Sekventiell kvalitativ-prioriterad blandad design× | Flerfasdesign med blandade metoder – Programmatisk forskning i flera steg× | |
|---|---|---|
| Ämnesområde | Forskningsdesign | Forskningsdesign |
| Familj | Process / pipeline | Process / pipeline |
| Ursprungsår≠ | 2000s–2010s | 2007 (first edition of Designing and Conducting Mixed Methods Research) |
| Upphovsperson≠ | Creswell & Plano Clark; Teddlie & Tashakkori | John W. Creswell & Vicki L. Plano Clark |
| Typ | Mixed methods research design | Mixed methods research design |
| Ursprungskälla | 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: 978-1483substitute |
| Alias | QUAL-priority sequential design, qualitative-dominant sequential design, qual-first sequential mixed methods, sequential exploratory qualitative-priority design | multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods |
| Närliggande≠ | 5 | 6 |
| Sammanfattning≠ | Sequential qualitative-priority mixed design is a two-phase mixed methods approach in which a qualitative strand is conducted first and carries greater weight in the overall study. The quantitative phase follows and serves to extend, test, or generalize the qualitative findings. The QUAL-first, QUAL-dominant logic makes this design well suited to exploratory research where theory or instruments are underdeveloped and must be grounded in participants' own words before being scaled up. | 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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