Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Design Quantitativo-Prioritário Embutido× | Desenho de Métodos Mistos Multinível× | |
|---|---|---|
| Área | Delineamento de pesquisa | Delineamento de pesquisa |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 2003–2011 | Late 1990s–2000s |
| Autor original≠ | Creswell & Plano Clark (embedded structure); Morse & Niehaus (priority notation) | Bonnie Nastasi, John Hitchcock, and collaborators; systematized by Creswell & Plano Clark |
| Tipo | Mixed methods research design | Mixed methods research design |
| Fonte seminal≠ | Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483357829 |
| Outros nomes | QUAN+qual embedded design, quantitative-dominant embedded mixed methods, embedded QUAN design, embedded quantitative-priority design | multilevel MMR, nested mixed methods, hierarchical mixed methods design, cross-level mixed methods |
| Relacionados | 5 | 5 |
| Resumo≠ | The embedded quantitative-priority mixed design is a mixed methods research structure in which a dominant quantitative study (survey, experiment, or longitudinal assessment) provides the primary basis for conclusions, while a qualitative component is embedded within that quantitative framework to address a question the numbers alone cannot answer. Priority and resources lie with the quantitative strand; the qualitative strand enriches, contextualizes, or explains a specific aspect of the larger quantitative investigation. | Multilevel mixed methods design is a research approach that collects and integrates both quantitative and qualitative data at two or more distinct levels of a social or organizational hierarchy — for example, individuals nested within classrooms, classrooms within schools, or patients within healthcare teams. By pairing quantitative measurement of outcomes at one level with qualitative exploration of meaning at another, researchers gain a richer, more complete picture than either strand alone could provide. |
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