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Demystifying content analysis

Scholary Output:
Contribution to journal
Article
Peer-review

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 validity of content analysis are discussed, along with suitable strategies to mitigate these risks during analysis. Summary. 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.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 127-137 (11 pages)

Journal (Volume, Issue Number)

American journal of pharmaceutical education (Volume 84, Issue 1)

Publication milestones

  • Published - 01/01/2020

Publication status

Published - 01/01/2020

ISSN

0002-9459

Publication IDs

  • Scopus: 85080104293
  • ORCID: /0000-0002-0071-5298/work/70894401
  • ORCID: /0000-0003-3254-8823/work/70894403
  • PubMed: 32292185
  • ORCID: /0000-0002-2898-4393/work/192618487

Publication metrics

Metrics

SciVal
citations
7
Fractional count
4
Fractional count
1
Fractional count
4
Fractional count
1
SciVal
FWCI
7.12
SciVal
Author count
4
SciVal
Paper percentile
94
SciVal
Top percentile
10
Scopus
citations

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Captures
945
Mentions
2
Citation count
890