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Predicting Peer Nominations Among Medical Students: A Social Network Approach.

Barret Michalec¹, Douglas Grbic, J Jon Veloski

¹B. Michalec is associate professor, Department of Sociology, and assistant director of health research, Center for Drug & Health Studies, University of Delaware, Newark, Delaware. D. Grbic is lead research specialist, Policy Research Studies, Research and Data Programs, Association of American Medical Colleges, Washington, DC. J.J. Veloski is director of medical education research and instructor in psychiatry and human behavior, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania. M.M. Cuddy is measurement scientist, National Board of Medical Examiners, Philadelphia, Pennsylvania. F.W. Hafferty is professor of medical education, Division of General Internal Medicine, Program in Professionalism and Values, Mayo Clinic, Rochester, Minnesota.

Academic Medicine : Journal of the Association of American Medical Colleges

|January 31, 2016

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This summary is machine-generated.

Peer nominations in medical school did not cluster by gender or age. However, students in accelerated programs and certain specialties were more likely to nominate each other, indicating social factors influence peer selection.

Area of Science:

Medical Education
Social Network Analysis
Psychology

Background:

Limited research exists on factors predicting peer nominations.
Understanding peer nomination clustering is crucial for analyzing social dynamics.

Purpose of the Study:

Investigate student- and school-based factors predicting peer nomination likelihood.
Examine clustering effects in peer nominations using social network analysis.

Main Methods:

Utilized data from the Jefferson Longitudinal Study of Medical Education (2013).
Analyzed peer nominations from 211 graduating medical students.
Employed relational contingency tables and ANOVA density models.

Main Results:

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Peer nominations did not cluster by gender, age, or class rank.

Students in accelerated programs were more likely to nominate each other.

Students entering specific specialties showed increased peer nomination likelihood.

Conclusions:

Accelerated programs and specialty clerkships may foster connections influencing peer nominations.
Social network analysis is valuable for studying peer nomination processes.
Findings have implications for social cohesion and potential in-group favoritism in clinical settings.