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| Multilevel Mixed Methods Design× | Konkurrent triangulering mixed methods design× | |
|---|---|---|
| Fagområde | Forskningsdesign | Forskningsdesign |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | Late 1990s–2000s | 2007 (formally named in Creswell & Plano Clark, 1st ed.) |
| Ophavsperson≠ | Bonnie Nastasi, John Hitchcock, and collaborators; systematized by Creswell & Plano Clark | John W. Creswell & Vicki L. Plano Clark |
| Type | Mixed methods research design | Mixed methods research design |
| Oprindelig kilde≠ | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483357829 | Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| Aliasser | multilevel MMR, nested mixed methods, hierarchical mixed methods design, cross-level mixed methods | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation |
| Relaterede | 5 | 5 |
| Resumé≠ | Multilevel mixed methods design is a research approach that collects and integrates both quantitative and qualitative data at two or more distinct levels of a social or organizational hierarchy — for example, individuals nested within classrooms, classrooms within schools, or patients within healthcare teams. By pairing quantitative measurement of outcomes at one level with qualitative exploration of meaning at another, researchers gain a richer, more complete picture than either strand alone could provide. | The concurrent triangulation mixed methods design collects quantitative and qualitative data simultaneously, analyzes each strand independently, and then merges the results to assess whether the two data sources corroborate one another. Often called the convergent parallel design, it is one of the foundational configurations in mixed methods research and is chosen specifically when the researcher wants to cross-validate or triangulate findings from two distinct methodological traditions. |
| ScholarGateDatasæt ↗ |
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