विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| गुणात्मक-प्रधान व्याख्यात्मक अनुक्रमिक मिश्रित विधियाँ× | गुणात्मक-प्राथमिकता मिश्रित विधि डिज़ाइन× | |
|---|---|---|
| क्षेत्र | अनुसंधान अभिकल्प | अनुसंधान अभिकल्प |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 2000s (formalized in Creswell & Plano Clark 2007, 2011, 2018) | 1991–2003 (formalized in mixed methods typologies) |
| प्रवर्तक≠ | Creswell & Plano Clark (explanatory sequential base); Morse (priority notation) | Janice Morse; 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: 978-1483344379 |
| उपनाम≠ | QUAL-dominant explanatory sequential design, qual-priority explanatory sequential MMR, qualitative-weighted explanatory sequential design | QUAL-dominant mixed methods, qualitative-dominant mixed design, qual-priority MMR, qualitative-weighted mixed methods |
| संबंधित | 6 | 6 |
| सारांश≠ | The qualitative-dominant explanatory sequential mixed methods design follows a two-phase sequential structure — quantitative data collected first, qualitative data collected second — while assigning dominant analytical weight to the qualitative strand. The quantitative phase surfaces statistical patterns that require deeper explanation; the qualitative phase, which carries greater interpretive authority in this variant, provides the rich contextual understanding that the numbers alone cannot supply. | Qualitative-priority mixed methods design is a mixed methods approach in which qualitative inquiry carries the greater weight — in terms of volume, analytical depth, and interpretive authority — while a supplementary quantitative strand provides supporting evidence. The design acknowledges that the phenomenon under study is best understood through meaning-making, lived experience, or social processes, with numbers used to corroborate or contextualize, not to dominate, the research story. |
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