Aligned Rank Tests As Robust Alternatives For Testing Interactions In Multiple Group Repeated Measures Designs With Heterogeneous Covariances

Authors

Xiaosheng Lei, University of Alabama, Birmingham
Janet K. Holt, Northern Illinois University
T. Mark Beasley, University of Alabama, BirminghamFollow

Abstract

Data simulation was used to investigate whether tests performed on aligned ranks (Beasley, 2002) could be used as robust alternatives to parametric methods for testing a split-plot interaction with non-normal data and heterogeneous covariance matrices. Results indicated the aligned rank method do not have any distinct advantage over parametric methods in this situation.

DOI

10.22237/jmasm/1099268220