Methoden vergleichen
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| Gleichzeitige Mixed Methods Matrix× | Multiphase Mixed Methods Design× | |
|---|---|---|
| Fachgebiet | Forschungsdesign | Forschungsdesign |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 2000s–2010s | 2007 (first edition of Designing and Conducting Mixed Methods Research) |
| Urheber≠ | Teddlie & Tashakkori; Creswell & Plano Clark | John W. Creswell & Vicki L. Plano Clark |
| Typ | Mixed methods research design | Mixed methods research design |
| Wegweisende Quelle≠ | 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 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute |
| Aliasnamen | concurrent MM matrix, simultaneous mixed methods matrix, parallel mixed methods matrix, concurrent matrix mixed design | multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods |
| Verwandt | 6 | 6 |
| Zusammenfassung≠ | The concurrent mixed methods matrix is a mixed methods design in which quantitative and qualitative data strands are collected simultaneously and organized within a structured matrix framework. The matrix maps design dimensions — such as research questions, data sources, priority, and integration points — across rows and columns, making the logical architecture of the study explicit and auditable. Both strands are analyzed independently before being merged through a matrix-guided integration step. | 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. |
| ScholarGateDatensatz ↗ |
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