Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Muundo wa Mbinu Mchanganyiko wa Kipaumbele cha Kiasi unaolenga Tathmini× | Muundo wa Mbinu Mbalimbali za Njia-Nyingi× | |
|---|---|---|
| Nyanja | Muundo wa Utafiti | Muundo wa Utafiti |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2003–2011 | Late 1990s–2000s |
| Mwanzilishi≠ | Teddlie & Tashakkori; Creswell & Plano Clark | Bonnie Nastasi, John Hitchcock, and collaborators; systematized by Creswell & Plano Clark |
| Aina | Mixed methods research design | Mixed methods research design |
| Chanzo asilia≠ | 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 Publications. ISBN: 978-1483357829 |
| Majina mbadala | QUAN-priority evaluation mixed methods, quantitative-dominant evaluation design, evaluation mixed methods with quantitative priority, QUAN-priority eval MMR | multilevel MMR, nested mixed methods, hierarchical mixed methods design, cross-level mixed methods |
| Zinazohusiana≠ | 6 | 5 |
| Muhtasari≠ | An evaluation-oriented quantitative-priority mixed methods design applies mixed methods inquiry within an evaluation context, where the primary purpose is judging a program, policy, or intervention. Quantitative data carry the greater evidential weight — measuring outcomes, effectiveness, and reach — while qualitative data serve as a secondary, explanatory strand that contextualizes and deepens interpretation of the quantitative findings. | 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. |
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