方法对比

	定量主导混合方法元推断	解释性顺序混合方法设计
领域	研究设计	研究设计
方法族	Process / pipeline	Process / pipeline
起源年份	2003–2007	2007 (formalized in Creswell & Plano Clark's mixed methods typology)
提出者	Tashakkori & Teddlie (meta-inference concept); Creswell & Plano Clark (dominance weighting framework)	John W. Creswell & Vicki L. Plano Clark
类型	Mixed methods integration 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. ISBN: 978-1483344379
别名	QUAN-dominant meta-inference, quantitatively weighted meta-inference, QUAN-priority integration inference, quantitative-weighted mixed inference	explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design
相关	6	6
摘要	Quantitative-dominant mixed methods meta-inference is an integration procedure in which the researcher draws an overarching conclusion by combining inferences from both quantitative and qualitative strands, while explicitly assigning greater evidential weight to the quantitative results. The qualitative strand serves a supporting, elaborating, or contextualizing role rather than an equal voice in the final interpretation.	The explanatory sequential mixed methods design is a two-phase research approach in which a quantitative study is conducted first, and qualitative data are then collected specifically to help explain or elaborate the initial quantitative results. The quantitative phase carries greater priority; the qualitative phase is purposefully built around the findings — such as surprising results, outliers, or statistically significant relationships — that need deeper interpretation.