Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Ориентирано към оценката смесено мета-извеждане на заключения× | Дизайн със смесени методи и едновременна триангулация× | |
|---|---|---|
| Област | Дизайн на изследването | Дизайн на изследването |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2000s–2010s | 2007 (formally named in Creswell & Plano Clark, 1st ed.) |
| Създател≠ | Abbas Tashakkori and Charles Teddlie (meta-inference); evaluation-oriented framing associated with Donna M. Mertens and Jennifer C. Greene | John W. Creswell & Vicki L. Plano Clark |
| Тип≠ | Mixed methods research design variant | Mixed methods research design |
| Основополагащ източник≠ | Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666 | Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| Други названия | evaluation MMR meta-inference, evaluation-focused meta-inference, mixed methods evaluation inference, meta-inference in evaluation research | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation |
| Свързани | 5 | 5 |
| Резюме≠ | Evaluation-oriented mixed methods meta-inference is a rigorous concluding process in program evaluation research in which the researcher integrates inferences drawn from both quantitative and qualitative strands of a mixed methods study into a single, coherent, higher-order conclusion. This meta-inference is explicitly anchored to evaluation questions — such as program worth, merit, or impact — and is judged by dual quality criteria: inferential consistency and interpretive consistency across strands. | 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. |
| ScholarGateНабор от данни ↗ |
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