方法对比

	嵌入式混合方法元推断	多层次混合方法设计
领域	研究设计	研究设计
方法族	Process / pipeline	Process / pipeline
起源年份	2003–2007	Late 1990s–2000s
提出者	Abbas Tashakkori & Charles Teddlie (meta-inference concept); John W. Creswell & Vicki L. Plano Clark (embedded design framework)	Bonnie Nastasi, John Hitchcock, and collaborators; systematized by Creswell & Plano Clark
类型	Mixed methods inference procedure	Mixed methods research design
开创性文献	Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. ISBN: 978-0761920731	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483357829
别名	embedded MMR meta-inference, meta-inference in embedded design, integrated meta-inference (embedded), EMMD meta-inference	multilevel MMR, nested mixed methods, hierarchical mixed methods design, cross-level mixed methods
相关	6	5
摘要	Embedded 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.	Multilevel mixed methods design is a research approach that collects and integrates both quantitative and qualitative data at two or more distinct levels of a social or organizational hierarchy — for example, individuals nested within classrooms, classrooms within schools, or patients within healthcare teams. By pairing quantitative measurement of outcomes at one level with qualitative exploration of meaning at another, researchers gain a richer, more complete picture than either strand alone could provide.