Сравнение методов

	Количественно-доминирующий дизайн смешанных методов с интервенцией	Объяснительный последовательный дизайн смешанных методов
Область	Дизайн исследования	Дизайн исследования
Семейство	Process / pipeline	Process / pipeline
Год появления	2007–2011 (codified in Creswell & Plano Clark editions)	2007 (formalized in Creswell & Plano Clark's mixed methods typology)
Автор метода	Creswell & Plano Clark (intervention MMD); weighting framework systematized in mixed methods typologies	John W. Creswell & Vicki L. Plano Clark
Тип	Mixed methods research design	Mixed methods research design
Основополагающий источник	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Другие названия	QUAN-dominant intervention MMD, quantitatively weighted intervention mixed methods, QUAN+qual intervention design, quantitative-priority intervention mixed methods	explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design
Связанные	6	6
Сводка	Quantitative-dominant intervention mixed methods design embeds a qualitative component within a predominantly quantitative intervention study — typically a randomized controlled trial or quasi-experiment — where the quantitative strand carries the primary weight in determining efficacy, while the qualitative strand explains the processes, mechanisms, or participant experiences that illuminate why and how the intervention works.	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.