Multivariate aligned rank test for interactions in multiple group repeated measures designs

Academic Article


  • This study showed that a multivariate test of interactions for aligned ranks in a split-plot design controlled Type I error rates for non-normal data with non-spherical covariance structures. Furthermore, it performed well in the presence of a strong repeated measures main effect, whereas tests performed on rank transformed scores demonstrated severely inflated Type I error rates. This test also demonstrated more statistical power than parametric tests performed on non-normal data sampled from a skewed, heavy-tailed distribution. Methods for conducting multiple comparisons are proposed.
  • Authors

    Digital Object Identifier (doi)

    Pubmed Id

  • 7531643
  • Author List

  • Beasley TM
  • Start Page

  • 197
  • End Page

  • 226
  • Volume

  • 37
  • Issue

  • 2