A procedure is presented to generate standard ized scores from raw test data that are, as far as possible, age independent and normally distribut ed. The model is fitted to the percentile points of the raw score distribution, and assumes a linear trend of each percentile with age. The fitted slopes can be constant or can vary quadratically with the percentiles. A nonlinear transformation of the data is also possible to allow for "ceiling effects." These models are described and the methods used to fit them to test data are discussed; examples are presented of their use in standardizing tests, and the use of the diagnostic plots produced by the program are discussed.
