Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Sekvenční smíšené metody zaměřené na případ× | Vysvětlující sekvenční smíšený design× | |
|---|---|---|
| Obor | Design výzkumu | Design výzkumu |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 2000s–2010s | 2007 (formalized in Creswell & Plano Clark's mixed methods typology) |
| Tvůrce≠ | Robert K. Yin (case study integration); John W. Creswell & Vicki L. Plano Clark (sequential mixed methods typology) | John W. Creswell & Vicki L. Plano Clark |
| Typ | Mixed methods research design | Mixed methods research design |
| Původní zdroj | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483358307 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Další názvy | sequential case study mixed methods, case-focused sequential design, sequential mixed case design, SCFMM | explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design |
| Příbuzné≠ | 5 | 6 |
| Shrnutí≠ | Sequential case-focused mixed methods design combines the depth of case study methodology with the phased data-collection logic of sequential mixed methods. Quantitative and qualitative data are gathered in distinct, ordered phases — either QUAN then QUAL or QUAL then QUAN — and both strands are anchored within one or more bounded cases. The design is suited to research questions that require understanding how and why phenomena unfold within specific real-world contexts. | The explanatory sequential mixed methods design is a two-phase research approach in which a quantitative study is conducted first, and qualitative data are then collected specifically to help explain or elaborate the initial quantitative results. The quantitative phase carries greater priority; the qualitative phase is purposefully built around the findings — such as surprising results, outliers, or statistically significant relationships — that need deeper interpretation. |
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