방법 비교

	Quantitative-Dominant Concurrent Embedded Mixed Methods Design	양적 우선순위 혼합 방법 설계
분야	연구설계	연구설계
계열	Process / pipeline	Process / pipeline
기원 연도	2003–2007	2003–2009
창시자	John W. Creswell & Vicki L. Plano Clark	Creswell & Plano Clark; Teddlie & Tashakkori
유형	Mixed methods research design	Mixed methods research design
원전	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483344379	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
별칭	QUAN-dominant embedded design, concurrent embedded design (QUAN priority), quantitative-primary embedded mixed methods, QUAN+qual embedded design	QUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methods
관련	5	6
요약	A mixed methods design in which a dominant quantitative study (survey, experiment, or other large-scale numeric inquiry) is conducted simultaneously with a smaller, embedded qualitative component. The qualitative strand serves a secondary, supporting role — such as explaining mechanisms, capturing participant experience, or monitoring implementation — while the quantitative strand drives the primary research questions and conclusions. Both strands run concurrently rather than sequentially.	Quantitative-priority mixed methods design is a research approach in which quantitative data and analysis carry the primary explanatory weight, while qualitative data play a supplementary or corroborating role. The researcher collects and analyzes quantitative data first (or concurrently with greater emphasis), then uses qualitative findings to elaborate, explain, or contextualize the statistical results. Priority and sequence together define where integration occurs and how each strand informs the other.