The aggregate information function (AIF) graph was generated to visually represent the total amount of information provided by the model of all criteria. The height of the information function reflects the collective discriminatory ability of the model and represents the extent of the information provided by the set of criteria under assessment. Thus, the higher the peak of the information curve, the greater the ability of the criteria to distinguish between those with and without alcohol problems. The placement of the curve along the latent continuum reflects the severity of the overall test.
