	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.