방법 비교

	평가 중심 다단계 혼합 방법	다단계 혼합 방법 설계
분야	연구설계	연구설계
계열	Process / pipeline	Process / pipeline
기원 연도	2007–2009 (multiphase design formalized 2007; evaluation-focused applications consolidated ca. 2009)	2007 (first edition of Designing and Conducting Mixed Methods Research)
창시자	John W. Creswell & Vicki L. Plano Clark (multiphase design); Stewart I. Donaldson and colleagues (evaluation-focused framing)	John W. Creswell & Vicki L. Plano Clark
유형	Mixed methods research design — program evaluation variant	Mixed methods research design
원전	Donaldson, S. I., Christie, C. A., & Mark, M. M. (Eds.). (2009). What Counts as Credible Evidence in Applied Research and Evaluation Practice? Sage. ISBN: 978-1412957090	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute
별칭	evaluation multiphase mixed methods, program evaluation multiphase design, mixed methods program evaluation, evaluative multiphase design	multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods
관련	6	6
요약	The evaluation-focused multiphase mixed methods design applies the multiphase mixed methods framework explicitly to program evaluation contexts, orchestrating three or more sequential or iterative phases — each drawing on quantitative measures, qualitative inquiry, or both — to assess a program, policy, or intervention from needs assessment through impact evaluation. An overarching evaluation question unifies all phases, and findings from each phase directly shape the evaluation questions and methods of the next.	The multiphase mixed methods design is a sustained research program in which quantitative and qualitative strands are combined across three or more sequential phases — or across multiple related projects — to address a central program objective. Each phase builds on the prior phase's findings, making the design well-suited to long-term evaluation, intervention development, and large-scale program assessment where a single data-collection cycle cannot fully address the complexity of the research problem.