Сравнение на методи

	Смесени методи за интервенция, базирани на дизайн	Смесени методи с вградена интервенция
Област	Дизайн на изследването	Дизайн на изследването
Семейство	Process / pipeline	Process / pipeline
Година на възникване	2003–2010s (convergence of DBR and mixed methods traditions)	2000s–2010s
Създател	Design-Based Research Collective; Creswell & Plano Clark (mixed methods framework)	Creswell & Plano Clark (embedded design framework); intervention application developed in health, education, and program evaluation research
Тип	Mixed methods research design variant	Mixed methods research design
Основополагащ източник	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 Publications. ISBN: 978-1483344379
Други названия	DBR intervention mixed methods, design-based intervention study, design experiment with mixed methods, intervention design-based mixed methods	nested intervention mixed methods, embedded experimental mixed methods, mixed methods intervention design with embedded strand, EIMM
Свързани	6	4
Резюме	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.	Embedded intervention mixed methods is a research design in which a qualitative strand is nested within a primary quantitative intervention (experimental or quasi-experimental) study. The quantitative component tests whether an intervention works; the embedded qualitative component illuminates how and why it works — or does not work — for participants. The two strands run concurrently or sequentially within a single overarching study framework, with integration occurring during interpretation.