The analysis of ranked data derived from completely randomized factorial designs.

This paper presents a method for the analysis of ranked data arising from completely randomized factorial designs. The procedure, which is an extension of the Kruskal-Wallis ranks test, allows for the calculation of interaction effects and linear contrasts. A Monte Carlo study of the convergence of the test and a worked example are presented.