the scheirer–ray–hare (srh) test is a statistical test that can be used to examine whether a measure is affected by two or more factors. since it does not require a normal distribution of the data, it is one of the non-parametric methods . it is an extension of the kruskal–wallis test , the non-parametric equivalent for one-way analysis of variance (anova), to application for more than one factor. he is thus a non-parameter alternative to multi-factorial anova analyses. the test is named after james scheirer, william ray and nathan hare, who published it in 1976.