The Medical College of Georgia at Augusta University, Augusta, Georgia.
Central Michigan University, College of Medicine, Mt. Pleasant, Michigan.
Am J Pharm Educ. 2020 Jan;84(1):7113. doi: 10.5688/ajpe7113.
In the course of daily teaching responsibilities, pharmacy educators collect rich data that can provide valuable insight into student learning. This article describes the qualitative data analysis method of content analysis, which can be useful to pharmacy educators because of its application in the investigation of a wide variety of data sources, including textual, visual, and audio files. Both manifest and latent content analysis approaches are described, with several examples used to illustrate the processes. This article also offers insights into the variety of relevant terms and visualizations found in the content analysis literature. Finally, common threats to the reliability and validity of content analysis are discussed, along with suitable strategies to mitigate these risks during analysis. This review of content analysis as a qualitative data analysis method will provide clarity and actionable instruction for both novice and experienced pharmacy education researchers.
在日常教学职责中,药学教育工作者收集了丰富的数据,这些数据可以为学生的学习提供有价值的见解。本文描述了内容分析的定性数据分析方法,由于其在调查各种数据源(包括文本、视觉和音频文件)中的应用,因此对药学教育工作者非常有用。本文描述了显式和隐式内容分析方法,并使用了几个示例来说明这些过程。本文还介绍了内容分析文献中发现的各种相关术语和可视化方法。最后,讨论了内容分析在可靠性和有效性方面的常见威胁,以及在分析过程中减轻这些风险的合适策略。本文对内容分析作为一种定性数据分析方法的回顾,将为新手和有经验的药学教育研究人员提供清晰的指导和可操作的建议。