So sánh phương pháp

	Thiết kế hỗn hợp định lượng ưu tiên nhúng	Thiết kế hỗn hợp định tính ưu tiên nhúng
Lĩnh vực	Thiết kế nghiên cứu	Thiết kế nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2003–2011	2007 (first edition of Designing and Conducting Mixed Methods Research)
Người khởi xướng	Creswell & Plano Clark (embedded structure); Morse & Niehaus (priority notation)	Creswell & Plano Clark
Loại	Mixed methods research design	Mixed methods research design
Công trình gốc	Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483358468
Tên gọi khác	QUAN+qual embedded design, quantitative-dominant embedded mixed methods, embedded QUAN design, embedded quantitative-priority design	qual-dominant embedded design, qualitative-primary embedded MMR, embedded QUAL+quan design, nested qualitative-priority design
Liên quan	5	5
Tóm tắt	The embedded quantitative-priority mixed design is a mixed methods research structure in which a dominant quantitative study (survey, experiment, or longitudinal assessment) provides the primary basis for conclusions, while a qualitative component is embedded within that quantitative framework to address a question the numbers alone cannot answer. Priority and resources lie with the quantitative strand; the qualitative strand enriches, contextualizes, or explains a specific aspect of the larger quantitative investigation.	The embedded qualitative-priority mixed design nests a secondary quantitative strand within a dominant qualitative inquiry. The qualitative strand drives the research logic, framing the questions, guiding data collection, and anchoring interpretation, while the quantitative component plays a supporting role — typically measuring outcomes, tracking context variables, or confirming patterns emerging from the qualitative core. The result is a rich, theoretically grounded account that remains rooted in participants' meanings while gaining empirical precision where needed.