Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Meta-inferenca e 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≠ | 1998–2003 | 2007 (formalized in Creswell & Plano Clark's mixed methods typology) |
| Krijuesi≠ | Abbas Tashakkori & Charles Teddlie | John W. Creswell & Vicki L. Plano Clark |
| Lloji≠ | Mixed methods integration procedure | Mixed methods research design |
| Burimi themelues≠ | Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Emërtime të tjera | meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference | explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design |
| Të lidhura | 6 | 6 |
| Përmbledhja≠ | Mixed methods meta-inference is the overarching conclusion drawn at the end of a mixed methods study by systematically combining and integrating the separate inferences produced by the quantitative and qualitative strands. It represents the highest-level interpretive act in mixed methods research: moving beyond strand-specific findings to produce a unified, coherent understanding of the research problem that neither strand could yield alone. | 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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