The known The predictive power of composite scores based on the weighted means of the results from multiple selection tools is low, explaining less than 15% of variance in student outcomes, regardless of the statistical models, selection tools, and outcomes used.The new Discriminant function analysis yields optimal and meaningful cut-scores for each of the selection tools based on binary outcomes. A non-compensatory selection model or a "sufficient evidence" approach to selection would be useful for some medical schools.The implications These alternative approaches may enhance the efficacy and defensibility of the selection process. They may also minimise the student non-completion rate in medical programs.