विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| समवर्ती हस्तक्षेप मिश्रित विधियाँ× | बहु-चरण मिश्रित विधि डिज़ाइन× | |
|---|---|---|
| क्षेत्र | अनुसंधान अभिकल्प | अनुसंधान अभिकल्प |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 2000s–2010s | 2007 (first edition of Designing and Conducting Mixed Methods Research) |
| प्रवर्तक≠ | Creswell & Plano Clark; Tashakkori & Teddlie | John W. Creswell & Vicki L. Plano Clark |
| प्रकार | Mixed methods research design | Mixed methods research design |
| मौलिक स्रोत | 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 |
| उपनाम | concurrent mixed methods intervention design, simultaneous intervention mixed methods, CIMM design, parallel intervention mixed methods | multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods |
| संबंधित | 6 | 6 |
| सारांश≠ | Concurrent intervention mixed methods is a research design that embeds qualitative data collection within an experimental or quasi-experimental intervention study, with both data strands gathered simultaneously during the intervention period. Quantitative data assess intervention outcomes while qualitative data illuminate participants' experiences, implementation processes, or contextual factors — each strand informing the other at the integration stage. | 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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