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Author(s)

     Douglas J. K. Mewhort, Brendan T. Johns, Matthew Kelly

Title

     Applying the permutation test to factorial designs

Publication Name

     Behavior Research Methods

Publication Type

     Journal
Publisher
     Psychonomic Society
Place
      Austin Texas
Editor(s)
     
Number
     
School
     
Volume
      42
Chapter
     
Pages
      366-372
Other Publication Information
     
Publication Year
     2010
Abstract
     The permutation test follows directly from the procedure in a comparative experiment, does not depend on a known distribution for error, and is sometimes more sensitive to real effects than the corresponding parametric tests. Despite its advantages, the permutation test is seldom (if ever) applied to factorial designs because of the computational load that they impose. The paper proposes two methods to limit the computation load. Firstly, we show that orthogonal contrasts limit the computational load and secondly, that, when combined with Gillís (2007) algorithm, the factorial permutation test is both practical and efficient. For within-subjects designs, the factorial permutation test is equivalent to ANOVA when the latterís assumptions have been met. For between-subjects designs, the factorial test is conservative.
Keywords
     
Website
     http://
Paper Status
     Published
DOI / Publication ID
     



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