The problem of evaluating school progress and its programs has recently been the topic of much research and discussion. The Center for the Study of Evaluation confronted this problem and produced the CSE Elementary School Evaluation KIT: Needs Assessment as a partial solution (see ED 058 673.) Within the framework of the KIT, the need for school norms and that of accounting for various demographic differences between schools arose. By using a multiple regression approach, six demographic variables were singled out as important predictors of achievement on a standardized test (the SCAT). Using these variables to create 64 school types, percentile correction factors were determined by using once again the regression technique. The problem of converting a school score to a school percentile with only a norm table for individuals was also studied, and a procedure for converting a percentile score from an individual's norm table to a school percentile was outlined. This procedure was based on successive average of the ratios of variability between school scores and individual scores as reported in the technical manual of these tests. (Author)