The feasibility of quick norms derived by the procedure described by B. D. Wright and M. H. Stone (1979) was investigated. Norming differences between traditionally calculated means and Rasch "quick" means were examined for simulated data sets of varying sample size, test length, and type of distribution. A 5 by 5 by 2 design with a total of 50 experiments was used, and each experiment was replicated 100 times. The BIGSTEPS Rasch calibration program was used to analyze each of the 5,000 data sets. Quick norms were calculated using programs from the Statistical Package for the Social Sciences. The Rasch quick norms procedure yielded means that were equivalent to traditionally calculated means for tests with a minimum of 30 items given to groups of 50 examinees or more, for both normally and uniformly distributed item difficulties. The methods were not equivalent with tests with 10 items. Sample size was not a factor in determining differences between the two methods. The quick norm procedure is recommended in cases where there is an existing bank of Rasch calibrated items. Its simplicity and ease of use makes it advantageous. Three tables present simulation data. (SLD)