Purpose. Despite their widespread use, medical school admission interviews
often are unstructured and lack reliability. This report describes the deve
lopment of a structured admission interview designed to eliminate bias and
provide valid information for selecting medical students, with preliminary
information about the interview's reliability and validity.
Method. After screening applications, 490 applicants to a public medical sc
hool residency program were interviewed by two faculty members using a stru
ctured interview format. Interview scores were compiled and correlated with
undergraduate grade-point averages (GPAs); Medical College Admission Test
(MCAT) scores; Iowa Evaluation Form (IEF) scores, an in-house evaluation of
applicants' noncognitive abilities; and eventual admissions status.
Results. Interrater agreement was good; the percentages of rater pairs whos
e scores differed by one point or less ranged from 87% to 98%. Scores on th
e structured interview revealed low to moderate correlations with other adm
ission criteria: .10 (p < .05) for cumulative GPA, .18 (P < .01) for MCAT B
iological Science, .08 (p > .05) MCAT Physical Science, and .10 (p < .05) h
MCAT Verbal Reasoning. None of the correlations between the overall interv
iew scores and the IEF scores reached statistical significance (p = .05). H
igher overall scores on the structured interview did predict: a greater lik
elihood of being accepted into the medical school and the interview score a
ccounted for 20% of the incremental variance in admission status beyond GPA
, MCAT, and IEF scores.
Conclusions. The moderate-to-low correlations with other admission criteria
suggest that the interview provided information about candidate credential
s not obtained from other sources and accounted for a substantial proportio
n of the variance in admission status. This finding supports the considerab
le time and resources required to develop a structured interview for medica
l student admissions. Final judgment on the validity and utility of this in
terview should be made after follow-up performance data have been obtained
and analyzed.