Porovnať metódy
Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.
| Kvantitatívno-dominantný pragmatický zmiešaný dizajnový prístup× | Explanatívny sekvenčný zmiešaný dizajnový prístup× | |
|---|---|---|
| Odbor | Dizajn výskumu | Dizajn výskumu |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1998–2010 | 2007 (formalized in Creswell & Plano Clark's mixed methods typology) |
| Tvorca≠ | Tashakkori & Teddlie (mixed methods paradigm discourse); pragmatic strand systematized by Morgan and Creswell | John W. Creswell & Vicki L. Plano Clark |
| Typ | Mixed methods research design | Mixed methods research design |
| Pôvodný zdroj≠ | Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Ďalšie názvy≠ | QUAN-dominant pragmatic MMR, pragmatic quantitative-priority mixed design, quan-priority pragmatic design | explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design |
| Príbuzné | 6 | 6 |
| Zhrnutie≠ | A mixed methods design in which quantitative data and analysis carry the primary explanatory weight while a smaller qualitative component provides contextual depth. Grounded in philosophical pragmatism, design decisions — including timing, sequencing, and the scope of each strand — are driven by what best answers the research question rather than by adherence to a single paradigmatic tradition. | 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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