Porovnať metódy
Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.
| Kvantitatívne dominantný intervenčný dizajn zmiešaných metód× | Kvantitatívno-prioritný zmiešaný dizajnový prístup× | |
|---|---|---|
| Odbor | Dizajn výskumu | Dizajn výskumu |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 2007–2011 (codified in Creswell & Plano Clark editions) | 2003–2009 |
| Tvorca≠ | Creswell & Plano Clark (intervention MMD); weighting framework systematized in mixed methods typologies | Creswell & Plano Clark; Teddlie & Tashakkori |
| Typ | Mixed methods research design | Mixed methods research design |
| Pôvodný zdroj | 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. ISBN: 978-1483344379 |
| Ďalšie názvy | QUAN-dominant intervention MMD, quantitatively weighted intervention mixed methods, QUAN+qual intervention design, quantitative-priority intervention mixed methods | QUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methods |
| Príbuzné | 6 | 6 |
| Zhrnutie≠ | Quantitative-dominant intervention mixed methods design embeds a qualitative component within a predominantly quantitative intervention study — typically a randomized controlled trial or quasi-experiment — where the quantitative strand carries the primary weight in determining efficacy, while the qualitative strand explains the processes, mechanisms, or participant experiences that illuminate why and how the intervention works. | 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. |
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