Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Designul mixt exploratoriu secvențial concurent× | Designul multifazic mixt× | |
|---|---|---|
| Domeniu | Design de cercetare | Design de cercetare |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 2000s–2010s | 2007 (first edition of Designing and Conducting Mixed Methods Research) |
| Autorul original≠ | Creswell & Plano Clark (expanded typology) | John W. Creswell & Vicki L. Plano Clark |
| Tip | Mixed methods research design | Mixed methods research design |
| Sursa seminală≠ | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 978-1483344379 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute |
| Denumiri alternative | concurrent-exploratory sequential design, QUAN+QUAL→QUAN design, concurrent exploratory mixed design, multiphase concurrent-exploratory design | multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods |
| Înrudite | 6 | 6 |
| Rezumat≠ | Concurrent exploratory sequential mixed methods design is an advanced mixed methods configuration that combines two timing structures: a concurrent (simultaneous) data-collection phase alongside an exploratory sequential strand, in which early qualitative findings inform the development or refinement of a quantitative component. This hybrid is used when a study needs both real-time integration of qualitative and quantitative data and an instrument-building or theory-testing phase driven by initial qualitative exploration. | The multiphase mixed methods design is a sustained research program in which quantitative and qualitative strands are combined across three or more sequential phases — or across multiple related projects — to address a central program objective. Each phase builds on the prior phase's findings, making the design well-suited to long-term evaluation, intervention development, and large-scale program assessment where a single data-collection cycle cannot fully address the complexity of the research problem. |
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