the scheirer–ray–hare test is analogous to the parametric multi-factorial anova of investigating the influence of two different factors on a measure for which different samples are available for the factors. as with the parametric analysis of variance, the test can be used to investigate the null hypotheses that the two factors examined in each case have no influence on the positional parameter of the samples and thus on the measure, and that there are no interactions between the two factors. a p-value less than 0.05 for one or more of these three hypotheses leads to their rejection. as with many other non-parametric methods, the analysis in this method relies on the evaluation of the ranks of the samples in the samples rather than the actual observations. modifications also allow extending the test to examine more than two factors.