Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Disseny metodològic mixt equitatiu centrat en el cas× | Disseny mixt amb prioritat qualitativa× | |
|---|---|---|
| Camp | Disseny de recerca | Disseny de recerca |
| Família | Process / pipeline | Process / pipeline |
| Any d'origen≠ | 2000s–2010s (mixed methods typology formalized ~2007–2011) | 1991–2003 (formalized in mixed methods typologies) |
| Autor original≠ | Creswell & Plano Clark; Yin (case study tradition) | Janice Morse; John W. Creswell & Vicki L. Plano Clark |
| Tipus | Mixed methods research design | Mixed methods research design |
| Font seminal | 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 |
| Àlies | QUAN+QUAL case study, equal-priority case mixed methods, balanced case-focused mixed methods, equal-status case study mixed methods | QUAL-dominant mixed methods, qualitative-dominant mixed design, qual-priority MMR, qualitative-weighted mixed methods |
| Relacionats≠ | 5 | 6 |
| Resum≠ | 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. | 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. |
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