Virtual Multiple Mini-Interviews for Veterinary Admissions

Abstract

Admissions teams are challenged to select the best applicants for their college. There is a growing emphasis on selecting applicants with personal attributes important for success in a variety of veterinary careers, but there is no clear consensus on how to best identify these individuals. A number of veterinary colleges are utilizing multiple mini-interviews (MMIs), a highly structured type of interview in this selection process. However, due to travel restrictions currently associated with COVID-19, many are now considering virtual MMIs. Long Island University (LIU) took the step to conduct MMIs virtually for its inaugural class before the pandemic restrictions occurred, largely because it hoped to reduce the cost of admission by eliminating travel costs. In this process, we encountered a unique set of challenges, the resolution of which we believe constitutes best practices for virtual MMIs. This report describes the design and execution of an MMI for LIU. We were able to interview 340 applicants in 7 days. Based on feedback from applicants as well as raters, most considered it an acceptable means of interviewing students. Both raters and applicants expressed a high degree of satisfaction with the process, and we were able to separate applicants based on MMI scores with 88% reliability.