Porównaj metody
Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Ilościowo-dominujący sekwencyjny projekt mieszany wyjaśniający× | Projekt wielopoziomowy mieszany× | |
|---|---|---|
| Dziedzina | Projektowanie badań | Projektowanie badań |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 2007 (first edition of Designing and Conducting Mixed Methods Research) | Late 1990s–2000s |
| Twórca≠ | John W. Creswell & Vicki L. Plano Clark | Bonnie Nastasi, John Hitchcock, and collaborators; systematized by Creswell & Plano Clark |
| Typ≠ | Mixed methods research design variant | Mixed methods research design |
| Źródło pierwotne≠ | 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 Publications. ISBN: 978-1483357829 |
| Inne nazwy | QUAN-dominant explanatory sequential design, quan-priority explanatory sequential MMR, quantitative-dominant QUAN→qual design, weighted explanatory sequential mixed methods | multilevel MMR, nested mixed methods, hierarchical mixed methods design, cross-level mixed methods |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | The quantitative-dominant explanatory sequential mixed methods design is a two-phase mixed methods approach in which a larger, primary quantitative study is conducted first, followed by a smaller, secondary qualitative phase that explains, elaborates, or contextualises the quantitative results. Quantitative evidence carries the greater weight in answering the research questions, while qualitative data provide interpretive depth for puzzling or unexpected statistical findings. | 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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