A validity evaluation of lexicon‐based sentiment analysis of medical students' clinical performance from in‐training evaluation reports
In the midst of their busy clinical work schedule, preceptors find time to tell a story about a medical student and these narrative data enrich the assessment portfolio. Based upon our validity argument, we feel there is a role for lexicon-based sentiment analysis of clinical performance descriptors in ITERs and that these results can contribute meaningfully to assessment decisions.
Authors
- Adrian Harvey
- Janeve Desy (ORCID: https://orcid.org/0000-0002-8075-2637)
- Mike Paget (ORCID: https://orcid.org/0000-0002-3322-7661)
- Glenda N. Bendiak
- Kevin McLaughlin (ORCID: https://orcid.org/0000-0002-3092-5325)
- Christopher Naugler (ORCID: https://orcid.org/0000-0002-4570-1279)
- Irene Ma
Institutions
- University of Calgary (CA)
Publication Details
- Journal
- Medical Education
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1111/medu.70101
- Primary Topic
- Innovations in Medical Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Cumming School of Medicine, University of Calgary