Porównaj metody
Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Ilościowo-dominująca metody mieszane skoncentrowane na przypadku× | Kwalitatywno-ilościowy projekt badawczy skoncentrowany na przypadku× | |
|---|---|---|
| Dziedzina | Projektowanie badań | Projektowanie badań |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 2003–2007 | 2000s–2010s |
| Twórca≠ | Tashakkori & Teddlie (dominant-status typology); Creswell & Plano Clark (design taxonomy) | Creswell & Plano Clark; draws on Yin's case study framework |
| Typ | Mixed methods research design | Mixed methods research design |
| Źródło pierwotne≠ | Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). Sage. ISBN: 978-1412972666 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483358857 |
| Inne nazwy≠ | QUAN-dominant case study MMR, quantitatively weighted case mixed methods, dominant-status case-centered mixed design | case-study mixed methods, embedded case mixed methods, case-oriented mixed design, CFMMD |
| Pokrewne | 6 | 6 |
| Podsumowanie≠ | Quantitative-dominant case-focused mixed methods organizes a study around one or more clearly bounded cases while assigning primary weight and inferential authority to quantitative data. Qualitative data are collected within the same case boundaries and serve an augmenting, explanatory, or contextual role rather than an equal one. The design is ideal when a case (a school, organization, community, or patient cohort) is the unit of analysis and the core research questions require measurable outcomes that qualitative evidence then helps interpret or explain. | Case-focused mixed methods design integrates qualitative and quantitative data-collection strands within one or more bounded cases — specific settings, organizations, programs, or individuals. The design harnesses the contextual depth of case study methodology alongside the corroborative or complementary power of mixed data types, enabling researchers to build rich, multi-faceted accounts of complex phenomena situated in real-world contexts. |
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