This study reports normative data for 370 students admitted to the UCLA School of Dentistry, data on commonly used performance predictors, and the regression equation best fitted for forecasting performance in this school. Most variance was associated with dental school grade point average, National Board Dental Examination averages, and clinical performance. Best predictors were achievement level and trend in preadmission academic performance. The selection interview and high school performance were also evaluated as predictor criteria.
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