Abstract
Prediction accuracy of academic achievement for admission purposes requires adequate sensitivity and specificity of admission tools, yet the available information on the validity and predictive power of admission tools is largely based on studies using correlational and regression statistics. The goal of this study was to explore signal detection theory
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