The ART test of interaction: a robust and powerful rank test of interaction in factorial models
KC Salter, RF Fawcett - Communications in Statistics-Simulation …, 1993 - Taylor & Francis
KC Salter, RF Fawcett
Communications in Statistics-Simulation and Computation, 1993•Taylor & FrancisSimulations are used to show that the ART (Aligned Ranks Transformation) procedure,
when testing for interaction, is robust and almost as powerful as the F-test when the data
satisfy the classical assumptions. When these assumptions are violated the ART test is
significantly more powerful than the F-test.
when testing for interaction, is robust and almost as powerful as the F-test when the data
satisfy the classical assumptions. When these assumptions are violated the ART test is
significantly more powerful than the F-test.
Simulations are used to show that the ART (Aligned Ranks Transformation) procedure,when testing for interaction, is robust and almost as powerful as the F-test when the data satisfy the classical assumptions. When these assumptions are violated the ART test is significantly more powerful than the F-test.
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