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Author(s)
     D. J. K. Mewhort, Matthew Kelly, Brendan T. Johns
Title
     Randomization tests and the unequal-N/unequal-variance problem
Publication Name
     Behavior Research Methods
Publication Type
     Journal
Publisher
     
Place
     
Editor(s)
     
Number
     
School
     
Volume
      41
Chapter
     
Pages
      664-667
Other Publication Information
     
Publication Year
     2009
Abstract
     When both the variance and the N are unequal in a two-group design, the probability of a Type-1 error shifts from the nominal 5% error rate. The probability is too liberal when the small cell has the larger variance and too conservative when the large cell has the larger variance. We present an algorithm to circumvent the problem when the smaller group has the larger variance and show show, by simulation, that the algorithm brings the error rate back to the nominal value without sacrificing the ability to detect true effects.
Keywords
     
Website
     http://
Paper Status
     Published
DOI / Publication ID
     



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