Creswell John W, Inoue Machiko
Mixed Methods Research Program University of Michigan Ann Arbor Michigan USA.
Department of Family and Community Medicine Hamamatsu University School of Medicine Shizuoka Japan.
J Gen Fam Med. 2024 Oct 3;26(1):4-11. doi: 10.1002/jgf2.736. eCollection 2025 Jan.
The process of mixed methods data analysis has long been understudied and needs clear guidance for researchers. This review article honors Michael D. Fetters' pioneering work on mixed methods data analysis, building on his concepts of integration, joint displays, and metainferences. This review summarizes existing mixed methods data analysis discussions and proposes advanced steps for the analysis process. Our approach involves identifying a research problem, collecting diverse data, selecting a mixed methods design, integrating the data within the design, using joint displays for analysis, and drawing metainferences. We illustrate our methods with a Japanese empirical research study from family medicine. This article contributes to the field of mixed methods research by detailing a practical process approach to mixed methods analysis combining recent procedures in the field of mixed methods research.
长期以来，混合方法数据分析过程一直未得到充分研究，需要为研究人员提供明确的指导。这篇综述文章认可了迈克尔·D·费特斯在混合方法数据分析方面的开创性工作，基于他的整合、联合展示和元推断概念展开。这篇综述总结了现有的混合方法数据分析讨论，并为分析过程提出了进阶步骤。我们的方法包括确定研究问题、收集多样的数据、选择混合方法设计、在设计内整合数据、使用联合展示进行分析以及得出元推断。我们用一项来自家庭医学领域的日本实证研究来阐述我们的方法。本文通过详细介绍一种结合混合方法研究领域最新程序的混合方法分析实用过程方法，为混合方法研究领域做出了贡献。
