방법 비교

	혼합 연구 행렬	설명적 순차 혼합 방법 설계
분야	연구설계	연구설계
계열	Process / pipeline	Process / pipeline
기원 연도	2003–2010	2007 (formalized in Creswell & Plano Clark's mixed methods typology)
창시자	Tashakkori & Teddlie; Onwuegbuzie & Teddlie	John W. Creswell & Vicki L. Plano Clark
유형	Research design classification and planning tool	Mixed methods research design
원전	Onwuegbuzie, A. J., & Teddlie, C. (2003). A framework for analyzing data in mixed methods research. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioral research (pp. 351-383). Sage.	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
별칭	MMR matrix, mixed-methods design matrix, research design classification matrix, mixed methods typology matrix	explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design
관련	6	6
요약	The mixed methods matrix is a systematic framework for classifying, planning, and comparing mixed methods research designs along key dimensions such as timing (concurrent vs. sequential), priority (quantitative- vs. qualitative-dominant), and point of integration. It provides researchers with a structured map to make design decisions explicit, communicate choices transparently, and locate a study within the broader mixed methods typology.	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.