Research data in clinical neuropsychology frequently do not conform to the requirements for parametric statistical analysis. In some of these cases, data analysis by parametric techniques does not identify existing differences. The usefulness of nonparametric statistical tools in evaluating irregular data sets is demonstrated in three cases examples. Methodological considerations arising from these examples are discussed.