So sánh phương pháp

	Thiết kế hỗn hợp định tính ưu tiên nhúng	Thiết kế Phương pháp hỗn hợp tuần tự thăm dò
Lĩnh vực	Thiết kế nghiên cứu	Thiết kế nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2007 (first edition of Designing and Conducting Mixed Methods Research)	1990s–2000s (codified by ~2007)
Người khởi xướng	Creswell & Plano Clark	John W. Creswell & Vicki L. Plano Clark
Loại	Mixed methods research design	Mixed methods research design
Công trình gốc	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483358468	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Tên gọi khác	qual-dominant embedded design, qualitative-primary embedded MMR, embedded QUAL+quan design, nested qualitative-priority design	QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
Liên quan	5	6
Tóm tắt	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.	The exploratory sequential mixed methods design is a two-phase research framework in which a qualitative phase is conducted first to explore a poorly understood phenomenon, and the findings then inform a subsequent quantitative phase — typically to develop and test a survey instrument, measure a theory, or generalize qualitative insights to a larger population. The qualitative strand guides what is measured; the quantitative strand tests or extends those findings at scale.