विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| समवर्ती मामला-केंद्रित मिश्रित विधियाँ× | व्याख्यात्मक अनुक्रमिक मिश्रित विधि डिज़ाइन× | |
|---|---|---|
| क्षेत्र | अनुसंधान अभिकल्प | अनुसंधान अभिकल्प |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 2000s–2010s (formalized in Creswell & Plano Clark 2011, 2018) | 2007 (formalized in Creswell & Plano Clark's mixed methods typology) |
| प्रवर्तक≠ | Creswell & Plano Clark (mixed methods typology); Yin (case study methods) | 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. link ↗ | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| उपनाम | concurrent case study mixed methods, parallel case-focused mixed design, simultaneous case mixed methods, case-embedded concurrent mixed design | explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design |
| संबंधित | 6 | 6 |
| सारांश≠ | Concurrent case-focused mixed methods is a research design in which quantitative and qualitative data are collected simultaneously — rather than in sequence — and both strands are anchored within one or more bounded cases (e.g., a school, a program, a community, or an organisation). The two data strands are analyzed separately, then merged or compared to produce a fuller, case-grounded understanding than either strand could yield alone. | 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. |
| ScholarGateडेटासेट ↗ |
|
|