Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Mètodes mixts pragmàtics amb predomini qualitatiu× | Disseny exploratori seqüencial de mètodes mixts× | |
|---|---|---|
| Camp | Disseny de recerca | Disseny de recerca |
| Família | Process / pipeline | Process / pipeline |
| Any d'origen≠ | 1990s–2010s | 1990s–2000s (codified by ~2007) |
| Autor original≠ | David L. Morgan; John W. Creswell & Vicki L. Plano Clark | John W. Creswell & Vicki L. Plano Clark |
| Tipus | Mixed methods research design | Mixed methods research design |
| Font seminal≠ | Morgan, D. L. (2014). Integrating Qualitative and Quantitative Methods: A Pragmatic Approach. Sage. ISBN: 978-1452204949 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Àlies | QUAL-dominant pragmatic MMR, qualitative-priority pragmatic mixed methods, qual-dominant pragmatic design, QUAL+quan pragmatic | QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods |
| Relacionats | 6 | 6 |
| Resum≠ | Qualitative-dominant pragmatic mixed methods is a research design in which a qualitative strand carries the primary weight of the inquiry, while a smaller quantitative component adds breadth or corroboration. Grounded in pragmatism as its philosophical framework, the design treats questions of data type, sequence, and integration as practical choices driven by the research problem rather than by methodological ideology. | The exploratory sequential mixed methods design is a two-phase research framework in which a qualitative phase is conducted first to explore a poorly understood phenomenon, and the findings then inform a subsequent quantitative phase — typically to develop and test a survey instrument, measure a theory, or generalize qualitative insights to a larger population. The qualitative strand guides what is measured; the quantitative strand tests or extends those findings at scale. |
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