Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uchanganuzi Jumuishi wa Mbinu Mseto Sambamba× | Uamuzi Mkuu wa Mbinu Mseto× | |
|---|---|---|
| Nyanja | Muundo wa Utafiti | Muundo wa Utafiti |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2003 | 1998–2003 |
| Mwanzilishi | Abbas Tashakkori & Charles Teddlie | Abbas Tashakkori & Charles Teddlie |
| Aina≠ | Mixed methods research design | Mixed methods integration procedure |
| Chanzo asilia≠ | Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. ISBN: 978-0761920731 | 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 |
| Majina mbadala | concurrent meta-inference, simultaneous mixed methods meta-inference, parallel strand meta-inference, QUAN+QUAL meta-inference | meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference |
| Zinazohusiana | 6 | 6 |
| Muhtasari≠ | Concurrent mixed methods meta-inference is a research design in which quantitative and qualitative data strands are collected simultaneously and then subjected to a formal meta-inferential process — drawing a unified, overarching conclusion that transcends what either strand alone could produce. The concurrent timing means neither strand informs the collection of the other; instead, both strands converge at the analysis-integration stage where meta-inferences are constructed. | 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. |
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