Three aligned rank methods for transforming data from multiple group repeated measures (split-plot) designs are reviewed. Univariate and multivariate statistics for testing the interaction in split-plot designs are elaborated. Computational examples are presented to provide a context for performing these ranking procedures and statistical tests. SAS/IML and SPSS syntax code to perform the procedures is included in the Appendix.
Beasley, T. Mark and Zumbo, Bruno D.
"Aligned Rank Tests for Interactions in Split-Plot Designs: Distributional Assumptions and Stochastic Heterogeneity,"
Journal of Modern Applied Statistical Methods: Vol. 8
, Article 4.
Available at: http://digitalcommons.wayne.edu/jmasm/vol8/iss1/4