Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Dizajni i Futshëm Kërkues Sekuencial i Metodave të Përziera× | Dizajni Shpjegues Sekuencial i Metodave të Përziera× | |
|---|---|---|
| Fusha | Dizajni i hulumtimit | Dizajni i hulumtimit |
| Familja | Process / pipeline | Process / pipeline |
| Viti i origjinës≠ | 2000s–2010s | 2007 (formalized in Creswell & Plano Clark's mixed methods typology) |
| Krijuesi≠ | Creswell & Plano Clark (embedded and exploratory sequential variants codified) | John W. Creswell & Vicki L. Plano Clark |
| Lloji | Mixed methods research design | Mixed methods research design |
| Burimi themelues | 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 |
| Emërtime të tjera | embedded-exploratory design, nested exploratory sequential design, qual-first embedded design, QUAN(qual) exploratory sequential | explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design |
| Të lidhura | 6 | 6 |
| Përmbledhja≠ | An embedded exploratory sequential mixed methods design opens with a qualitative phase that explores an understudied phenomenon, then embeds a secondary quantitative strand within or alongside that primary qualitative work. The qualitative findings guide what is measured quantitatively, while the embedded quantitative data provide additional scope or precision without displacing the qualitative logic driving the study. | 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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