Department of Children, Youth and Families, Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California 90089, USA; email:
UCLA Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California 90024-1759, USA; email:
Annu Rev Public Health. 2019 Apr 1;40:423-442. doi: 10.1146/annurev-publhealth-040218-044215. Epub 2019 Jan 11.
Mixed methods research-i.e., research that draws on both qualitative and quantitative methods in varying configurations-is well suited to address the increasing complexity of public health problems and their solutions. This review focuses specifically on innovations in mixed methods evaluations of intervention, program or policy (i.e., practice) effectiveness, and implementation. The article begins with an overview of the structure, function, and process of different mixed methods designs and then provides illustrations of their use in effectiveness studies, implementation studies, and combined effectiveness-implementation hybrid studies. The article then examines four specific innovations: procedures for transforming (or "quantitizing") qualitative data, application of rapid assessment and analysis procedures in the context of mixed methods studies, development of measures to assess implementation outcomes, and strategies for conducting both random and purposive sampling, particularly in implementation-focused evaluation research. The article concludes with an assessment of challenges to integrating qualitative and quantitative data in evaluation research.
混合方法研究——即,在不同配置中同时使用定性和定量方法的研究——非常适合解决公共卫生问题及其解决方案日益复杂的问题。本综述特别关注干预、计划或政策(即实践)效果和实施的混合方法评估中的创新。本文首先概述了不同混合方法设计的结构、功能和过程,然后提供了它们在效果研究、实施研究和混合效果-实施混合研究中的应用示例。然后,本文研究了四个具体的创新:将定性数据转化(或“量化”)的程序、在混合方法研究中应用快速评估和分析程序、开发评估实施结果的措施,以及进行随机和有目的抽样的策略,特别是在以实施为重点的评估研究中。最后,本文评估了在评估研究中整合定性和定量数据的挑战。