Mr. Storch and colleagues indicate that there is a high degree of overlap between patients and nonpatients that might reduce the sensitivity of the model in predicting schizophrenia. The distribution overlap not only reduces sensitivity but also specificity, which, as already discussed, is a major problem for any screening tool. Matching patients to their nonpatient schoolmates attenuated both the sensitivity and specificity shortcomings. Table 2 in the article presented the overall distribution of the patients and matched nonpatients and therefore did not fully demonstrate the ability of the matching procedure to discern between patients and nonpatients. The power of the matching procedure is better exemplified in Table 1, where, for example, 24% of the patients had scores falling below the lowest range of their matched nonpatients on intellectual functioning. Mr. Storch et al. are also concerned with the validity of the intellectual and behavioral measures. The intellectual measures were all revised Hebrew versions of common measures of verbal and nonverbal intelligence (i.e., shorter versions, as in the case of Raven’s Progressive Matrices—R, the Otis test of mental ability, or similar tests in a pen-and-paper format [Arithmetic—R and Similarities—R tests]) (2), and scores on these tests have been shown to be equivalent to scores on IQ tests (Gal, 1986). The behavioral measures have been described in more detail in a recent article by our group (1).