A cross-validated comparison of five models used to predict graduate admissions committee decisions.

Weights derived from an admissions committee's assessment of 170 applicants to a graduate industrial relations program using 5 models (linear, multiplicative, dummy variable, unit weighting, and multiple hurdles) were cross-validated on 112 additional applicants. Predictions of all models were significantly related to the committee's admissions decisions in the cross-validation group. The accuracy of predictions was about the same for all models; however, except for GPA and Graduate Record Examination scores, the other variables weighted varied somewhat from model to model. A substantial amount of the decision variance was unaccounted for by any model. (PsycINFO Database Record (c) 2010 APA, all rights reserved)