So sánh phương pháp

	Suy luận tổng hợp phương pháp hỗn hợp	Thiết kế phương pháp hỗn hợp giải thích tuần tự
Lĩnh vực	Thiết kế nghiên cứu	Thiết kế nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1998–2003	2007 (formalized in Creswell & Plano Clark's mixed methods typology)
Người khởi xướng	Abbas Tashakkori & Charles Teddlie	John W. Creswell & Vicki L. Plano Clark
Loại	Mixed methods integration procedure	Mixed methods research design
Công trình gốc	Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Tên gọi khác	meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference	explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design
Liên quan	6	6
Tóm tắt	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.	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.