Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Muundo wa Mbinu Mchanganyiko wa Awamu nyingi Sambamba× | Muundo wa Mbinu Mchanganyiko wa Maelezo Mfululizo× | |
|---|---|---|
| Nyanja | Muundo wa Utafiti | Muundo wa Utafiti |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2000s–2010s | 2007 (formalized in Creswell & Plano Clark's mixed methods typology) |
| Mwanzilishi≠ | Creswell & Plano Clark; Tashakkori & Teddlie | 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 Publications. ISBN: 978-1483344379 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Majina mbadala | concurrent-multiphase design, simultaneous multiphase MMR, parallel multiphase mixed methods, concurrent multistrand design | explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design |
| Zinazohusiana≠ | 5 | 6 |
| Muhtasari≠ | Concurrent multiphase mixed methods design combines the structural complexity of multiphase research — spanning several distinct project phases — with concurrent (simultaneous) data collection within each phase. At each stage, quantitative and qualitative data strands are gathered and analyzed in parallel rather than sequentially, and findings are integrated across phases to address a program of interrelated research questions over time. | The explanatory sequential mixed methods design is a two-phase research approach in which a quantitative study is conducted first, and qualitative data are then collected specifically to help explain or elaborate the initial quantitative results. The quantitative phase carries greater priority; the qualitative phase is purposefully built around the findings — such as surprising results, outliers, or statistically significant relationships — that need deeper interpretation. |
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