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এমবেডেড মিক্সড মেথডস মেটা-ইনফারেন্স×মিশ্র পদ্ধতি মেটা-অনুমান×
ক্ষেত্রগবেষণা নকশাগবেষণা নকশা
পরিবারProcess / pipelineProcess / pipeline
উদ্ভবের বছর2003–20071998–2003
প্রবর্তকAbbas Tashakkori & Charles Teddlie (meta-inference concept); John W. Creswell & Vicki L. Plano Clark (embedded design framework)Abbas Tashakkori & Charles Teddlie
ধরনMixed methods inference procedureMixed methods integration procedure
মৌলিক উৎসTashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. ISBN: 978-0761920731Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129
অপর নামembedded MMR meta-inference, meta-inference in embedded design, integrated meta-inference (embedded), EMMD meta-inferencemeta-inference, mixed methods overall inference, integrated inference, MMR meta-inference
সম্পর্কিত66
সারসংক্ষেপEmbedded mixed methods meta-inference is the process of drawing a single, overarching conclusion by integrating the inferences from a dominant (primary) strand and an embedded (secondary) strand within an embedded mixed methods design. The embedded strand — typically qualitative nested inside a quantitative study, or vice versa — answers a supplemental question, and meta-inference synthesises both strands into one coherent interpretive claim that neither strand could produce alone.Mixed methods meta-inference is the overarching conclusion drawn at the end of a mixed methods study by systematically combining and integrating the separate inferences produced by the quantitative and qualitative strands. It represents the highest-level interpretive act in mixed methods research: moving beyond strand-specific findings to produce a unified, coherent understanding of the research problem that neither strand could yield alone.
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ScholarGateপদ্ধতির তুলনা করুন: Embedded mixed methods meta-inference · Mixed Methods Meta-Inference. 2026-06-17 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare