Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Meta-inferență mixtă încorporată× | Designul mixt de metode în faze încorporate× | |
|---|---|---|
| Domeniu | Design de cercetare | Design de cercetare |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 2003–2007 | 2000s–2010s |
| Autorul original≠ | Abbas Tashakkori & Charles Teddlie (meta-inference concept); John W. Creswell & Vicki L. Plano Clark (embedded design framework) | Creswell & Plano Clark (embedded design); Nastasi et al. (multiphase) |
| Tip≠ | Mixed methods inference procedure | Mixed methods research design |
| Sursa seminală≠ | Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. ISBN: 978-0761920731 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 9781483344379 |
| Denumiri alternative | embedded MMR meta-inference, meta-inference in embedded design, integrated meta-inference (embedded), EMMD meta-inference | embedded multi-phase mixed methods, nested multiphase design, multiphase embedded MMR, embedded phased mixed design |
| Înrudite≠ | 6 | 4 |
| Rezumat≠ | Embedded mixed methods meta-inference is the process of drawing a single, overarching conclusion by integrating the inferences from a dominant (primary) strand and an embedded (secondary) strand within an embedded mixed methods design. The embedded strand — typically qualitative nested inside a quantitative study, or vice versa — answers a supplemental question, and meta-inference synthesises both strands into one coherent interpretive claim that neither strand could produce alone. | Embedded multiphase mixed methods is a research design in which a secondary data strand (qualitative or quantitative) is nested within a primary, dominant strand across two or more sequential study phases. Each phase builds on the prior one, while the embedded strand enhances understanding of specific sub-questions that the dominant strand alone cannot answer. This design is suited to complex, longitudinal, or program-evaluation research problems requiring sustained inquiry across stages. |
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