Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Metodă mixtă centrată pe caz, cu ponderare egală× | Design Mixt cu Prioritate Cantitativă× | |
|---|---|---|
| Domeniu | Design de cercetare | Design de cercetare |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 2000s–2010s (mixed methods typology formalized ~2007–2011) | 2003–2009 |
| Autorul original≠ | Creswell & Plano Clark; Yin (case study tradition) | 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. 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+QUAL case study, equal-priority case mixed methods, balanced case-focused mixed methods, equal-status case study mixed methods | QUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methods |
| Înrudite≠ | 5 | 6 |
| Rezumat≠ | Equal-weight case-focused mixed methods is a research design that investigates a bounded case — a person, program, organization, or event — using qualitative and quantitative strands that are treated as equally important. Neither strand is subordinate; both contribute with the same priority to the final interpretation of the case. Data are collected and analyzed separately, then integrated at the interpretation stage to produce a richer, more complete understanding of the case than either approach could yield alone. | Quantitative-priority mixed methods design is a research approach in which quantitative data and analysis carry the primary explanatory weight, while qualitative data play a supplementary or corroborating role. The researcher collects and analyzes quantitative data first (or concurrently with greater emphasis), then uses qualitative findings to elaborate, explain, or contextualize the statistical results. Priority and sequence together define where integration occurs and how each strand informs the other. |
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