Linganisha mbinu
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| Muundo wa Mbinu Mchanganyiko Wenye Awamu Nyingi Unaotawaliwa na Ubora× | Muundo wa Mbinu Mbalimbali za Awamu nyingi× | |
|---|---|---|
| Nyanja | Muundo wa Utafiti | Muundo wa Utafiti |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2003–2010 | 2007 (first edition of Designing and Conducting Mixed Methods Research) |
| Mwanzilishi≠ | Creswell & Plano Clark (multiphase base); Morse and Tashakkori & Teddlie (priority notation) | John W. Creswell & Vicki L. Plano Clark |
| Aina | Mixed methods research design | Mixed methods research design |
| Chanzo asilia | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute |
| Majina mbadala≠ | QUAL-dominant multiphase MMR, qualitative-priority multiphase design, qual-dominant multiphasic mixed design | multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods |
| Zinazohusiana | 6 | 6 |
| Muhtasari≠ | The qualitative-dominant multiphase mixed methods design combines multiple, sequentially or iteratively organized phases across a research program, with qualitative inquiry holding explicit priority. Quantitative data are collected in one or more supporting phases to supplement, refine, or validate the dominant qualitative strands. The design is common in longitudinal program evaluations, theory-building projects, and community-based participatory research where deep contextual understanding is the primary aim. | 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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