Порівняння методів

	Дизайн-орієнтоване втручання змішаними методами	Багатофазний змішаний дизайн
Галузь	Дизайн дослідження	Дизайн дослідження
Родина	Process / pipeline	Process / pipeline
Рік появи	2003–2010s (convergence of DBR and mixed methods traditions)	2007 (first edition of Designing and Conducting Mixed Methods Research)
Автор методу	Design-Based Research Collective; Creswell & Plano Clark (mixed methods framework)	John W. Creswell & Vicki L. Plano Clark
Тип	Mixed methods research design variant	Mixed methods research design
Основоположне джерело	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483344452	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute
Інші назви	DBR intervention mixed methods, design-based intervention study, design experiment with mixed methods, intervention design-based mixed methods	multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods
Пов'язані	6	6
Підсумок	Design-based intervention mixed methods is a research design that embeds both quantitative and qualitative data collection within iterative intervention cycles drawn from design-based research (DBR). The approach systematically tests and refines a practical intervention — typically an educational program, curriculum, or organizational solution — while using qualitative data to explain why and how the intervention works, and quantitative data to assess its measurable impact. Iteration between design, testing, and revision is the hallmark of this approach.	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.