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নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।

সম-ওজন বহুস্তরীয় মিশ্র পদ্ধতি নকশা×একযোগে নিহিত মিশ্র পদ্ধতি নকশা (Concurrent Embedded Mixed Methods Design)×
ক্ষেত্রগবেষণা নকশাগবেষণা নকশা
পরিবারProcess / pipelineProcess / pipeline
উদ্ভবের বছর2000s–2010s2003–2007
প্রবর্তকTashakkori & Teddlie; Creswell & Plano ClarkJohn W. Creswell & Vicki L. Plano Clark
ধরনMixed methods research designMixed methods research design
মৌলিক উৎসCreswell, J. W., & Plano Clark, V. L. (2017). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
অপর নামQUAN+QUAL multilevel design, equal-status multilevel mixed methods, balanced multilevel mixed methods, equal-priority multilevel mixed methodsembedded mixed methods, nested mixed methods design, concurrent nested design, CEMM
সম্পর্কিত66
সারসংক্ষেপEqual-weight multilevel mixed methods is a mixed methods design in which quantitative and qualitative data strands are collected at two or more distinct levels of a social system — such as students, classrooms, and schools — and both strands carry equal analytic priority. The QUAN+QUAL notation (where '+' signals equal weight) is applied across each level, and integration occurs both within and between levels to build a comprehensive, multi-perspectival understanding.The concurrent embedded mixed methods design collects quantitative and qualitative data at the same time, but assigns unequal priority to the two strands: one (usually quantitative) serves as the primary study, while the other (usually qualitative) is nested inside it to answer a supplementary question. The embedded strand does not stand alone; it provides a different perspective on the same phenomenon within a single unified study.
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ScholarGateপদ্ধতির তুলনা করুন: Equal-weight multilevel mixed methods · Concurrent Embedded Mixed Methods Design. 2026-06-17 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare