Abstract

Objective. 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. Findings. 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…

Citation impact

968
total citations
FWCI
141.37
Percentile
100%
References
30
Citations per year

Authors

4

Topics & keywords

Keywords
  • Variety (cybernetics)
  • Content analysis
  • CLARITY
  • Computer science
  • Qualitative analysis
  • Reliability (semiconductor)
  • Data science
  • Qualitative research
UN Sustainable Development Goals
  • Quality Education
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