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Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Ποσοτικά-Κυρίαρχη Μετα-Συμπερασματολογία Μεικτών Μεθόδων× | Μετα-συμπερασματολογία Μικτών Μεθόδων× | |
|---|---|---|
| Πεδίο | Ερευνητικός Σχεδιασμός | Ερευνητικός Σχεδιασμός |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2003–2007 | 1998–2003 |
| Δημιουργός≠ | Tashakkori & Teddlie (meta-inference concept); Creswell & Plano Clark (dominance weighting framework) | Abbas Tashakkori & Charles Teddlie |
| Τύπος | Mixed methods integration procedure | Mixed methods integration procedure |
| Θεμελιώδης πηγή≠ | 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 |
| Εναλλακτικές ονομασίες | QUAN-dominant meta-inference, quantitatively weighted meta-inference, QUAN-priority integration inference, quantitative-weighted mixed inference | meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference |
| Συναφείς | 6 | 6 |
| Σύνοψη≠ | Quantitative-dominant mixed methods meta-inference is an integration procedure in which the researcher draws an overarching conclusion by combining inferences from both quantitative and qualitative strands, while explicitly assigning greater evidential weight to the quantitative results. The qualitative strand serves a supporting, elaborating, or contextualizing role rather than an equal voice in the final interpretation. | 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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