Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Design Quantitativo-Prioritário Embutido× | Design de Métodos Mistos com Prioridade Quantitativa× | |
|---|---|---|
| Área | Delineamento de pesquisa | Delineamento de pesquisa |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 2003–2011 | 2003–2009 |
| Autor original≠ | Creswell & Plano Clark (embedded structure); Morse & Niehaus (priority notation) | Creswell & Plano Clark; Teddlie & Tashakkori |
| 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. ISBN: 978-1483344379 |
| Outros nomes | QUAN+qual embedded design, quantitative-dominant embedded mixed methods, embedded QUAN design, embedded quantitative-priority design | QUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methods |
| Relacionados≠ | 5 | 6 |
| 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. | 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. |
| ScholarGateConjunto de dados ↗ |
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