পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| গুণগত-প্রধান ব্যাখ্যামূলক অনুক্রমিক মিশ্র পদ্ধতি× | গুণগত-অগ্রাধিকার মিশ্র পদ্ধতি নকশা× | |
|---|---|---|
| ক্ষেত্র | গবেষণা নকশা | গবেষণা নকশা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 2000s (formalized in Creswell & Plano Clark 2007, 2011, 2018) | 1991–2003 (formalized in mixed methods typologies) |
| প্রবর্তক≠ | Creswell & Plano Clark (explanatory sequential base); Morse (priority notation) | Janice Morse; John W. Creswell & Vicki L. Plano Clark |
| ধরন | Mixed methods research design | Mixed methods research design |
| মৌলিক উৎস | 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 |
| অপর নাম≠ | 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 |
| সম্পর্কিত | 6 | 6 |
| সারসংক্ষেপ≠ | 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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