Learning communities and nationality homophily in informal medical student networks
Yan Zhou, Nicolaas Bos, Agnes Diemers, Jasperina Brouwer
Medical Education Online
Network design
Nodes
first- and second-year medical students within an international undergraduate medical program
Ties
directed nominations across five distinct relations: study support, collaboration, friendship, information sharing, and whom a student learned from
Methods
The authors built five relational matrices, described network structure and subgroup patterns, and used QAP procedures to test associations between ties, learning-community membership, nationality, and other attributes while respecting dyadic dependence.
Source: Medical Education Online
Reviewed summary
Sixty-nine first-year and 51 second-year medical students reported 2,890 relationships across five informal networks: study support, collaboration, friendship, information sharing, and learning from others. Learning-community membership and nationality homophily structured several networks, raising questions about international-student integration. By separating five relations, the study helps curriculum teams identify whether a student lacks friendship, study help, information, or learning access instead of treating integration as one undifferentiated outcome.
Learning-community membership organized many informal connections, and nationality homophily appeared in several layers, indicating that formal grouping did not fully dissolve boundaries relevant to international integration. The sample covered 120 students in one program, relations were self-reported at one period, and missing or capped nominations may affect subgroup patterns. QAP detects association, not whether learning communities or nationality caused tie formation or educational outcomes.
SNA
How SNA was used
The study defined first- and second-year medical students within an international undergraduate medical program as nodes and directed nominations across five distinct relations: study support, collaboration, friendship, information sharing, and whom a student learned from as ties. The authors built five relational matrices, described network structure and subgroup patterns, and used QAP procedures to test associations between ties, learning-community membership, nationality, and other attributes while respecting dyadic dependence.
Source
Medical Education Online, 28(1), Article 2162253
DOI: 10.1080/10872981.2022.2162253
