title: Psychometric properties of the multiple mini-interview used for medical admissions: findings from generalizability and Rasch analyses.
abstract: The multiple mini-interview (MMI) has become an increasingly popular admissions method for selecting prospective students into professional programs (e.g., medical school). The MMI uses a series of short, labour intensive simulation stations and scenario interviews to more effectively assess applicants' non-cognitive qualities such as empathy, critical thinking, integrity, and communication. MMI data from 455 medical school applicants were analyzed using: (1) Generalizability Theory to estimate the generalizability of the MMI and identify sources of error; and (2) the Many-Facet Rasch Model, to identify misfitting examinees, items and raters. Consistent with previous research, our results support the reliability of MMI process. However, it appears that the non-cognitive qualities are not being measured as unique constructs across stations.
authors.affiliation: Faculty of Education, Queen's University, Kingston, Ontario, Canada, stefanie.sebok@queensu.ca.
authors.forename: Stefanie S
authors.initials: SS
authors.lastname: Sebok
authors.forename: King
authors.initials: K
authors.lastname: Luu
authors.forename: Don A
authors.initials: DA
authors.lastname: Klinger
mesh_terms: D000465:Algorithms; D002170:Canada; D006801:Humans; D007407:Interviews as Topic; D008960:Models, Psychological; D011594:Psychometrics; D012570:School Admission Criteria; D012577:Schools, Medical; D013337:Students, Medical / Q000523:psychology*