Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Design secvențial mixt cu prioritate cantitativă× | Design mixt secvențial cu prioritate calitativă× | |
|---|---|---|
| Domeniu | Design de cercetare | Design de cercetare |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 2007 (first edition of Designing and Conducting Mixed Methods Research) | 2000s–2010s |
| Autorul original≠ | John W. Creswell & Vicki L. Plano Clark | Creswell & Plano Clark; Teddlie & Tashakkori |
| Tip | Mixed methods research design | Mixed methods research design |
| Sursa seminală≠ | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483344379 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Denumiri alternative | QUAN-dominant sequential design, quantitative-priority sequential MMR, quan-first sequential mixed methods, quantitative-led sequential design | QUAL-priority sequential design, qualitative-dominant sequential design, qual-first sequential mixed methods, sequential exploratory qualitative-priority design |
| Înrudite≠ | 4 | 5 |
| Rezumat≠ | The sequential quantitative-priority mixed design collects and analyzes quantitative data first, then follows with a qualitative strand to elaborate, explain, or contextualize the quantitative findings. The quantitative component is given greater weight in the overall study, meaning the primary research questions and conclusions are primarily grounded in the quantitative evidence, with the qualitative strand playing a supplementary, explanatory role. | 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. |
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