Approaches for norming skewed test score distributions are reviewed, and an analytical approach is proposed for norming the Behavior Assessment System for Children (BASC). Methods used in constructing norms for several well-known personality instruments that are reviewed include: (1) linear T-scores transformation in the Minnesota Multiphasic Personality Inventory (MMPI); (2) normalized T-scores transformation in the MMPI; (3) the normalized T-scores transformation of T. M. Achenbach; and (4) uniform T-scores transformation in the MMPI-2. In the development of the BASC, the project team decided that both T-score and percentile norms should be developed for clinical interpretation. The curve-fitting procedure of N. L. Johnson and linear T-scores transformation were applied to each of the BASC scales. Results indicate that this approach can be applied effectively to a variety of skewed data sets. The method can be used as an efficient curve-smoothing procedure, and the percentile norms can be generated easily by the computer program. The combined use of percentiles and linear T-scores can minimize problems in clinical inferences. In addition, the proposed method, being computerized and analytical, can save considerable time and reduce error. Two tables and two graphs illustrate the study. There is a 12-item list of references. (SLD)