방법 비교

	혼합 방법 메타 추론	탐색적 순차 혼합 방법 설계
분야	연구설계	연구설계
계열	Process / pipeline	Process / pipeline
기원 연도	1998–2003	1990s–2000s (codified by ~2007)
창시자	Abbas Tashakkori & Charles Teddlie	John W. Creswell & Vicki L. Plano Clark
유형	Mixed methods integration procedure	Mixed methods research design
원전	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
별칭	meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference	QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
관련	6	6
요약	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 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.