This report describes a test of the robustness of factor-analytic methods in the face of various types of scale transformations on the data. Because of the complexities that would be involved in an exact analytical investigation, the tests were done with simulated sets of data having different factor structures. After factor analyzing the original data sets, scale transformations were done, and the transformed data sets were factor analyzed. Comparisons made between results obtained before and after transformations lead to the conclusion that monotonic transformations do not alter the results, while nonmonotonic transformations may. Because the comparisons were made with only a small number of data sets, it is suggested that special choices of data, factor-analytic methods, or scale transformations may limit the validity of this conclusion. (WDR)