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Activity Number:
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369
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Type:
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Contributed
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Date/Time:
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Wednesday, August 6, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #301845 |
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Title:
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The Rank Transforms and Tests of Interaction for Repeated Measures Experiments with Various Covariance Structures
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Author(s):
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Jennifer Bryan*+ and Mark E. Payton
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Companies:
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Oklahoma Christian University and Oklahoma State University
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Address:
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1003 Dustin Drive, Edmond, OK, 73003,
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Keywords:
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Repeated measures ; Aligned Rank Transform ; Nonparametric methods
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Abstract:
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The covariance structure of a repeated measures design can be simple or very complicated. In analyzing repeated measures, rank transformations can be an alternative to the standard tests performed on the raw data. An alternative to utilizing the common rank transform when testing for interaction is the aligned rank procedure in which the estimate for the interaction effect is adjusted for the observed main effects. The question arises as to how the covariance structure may affect the aligned rank transform procedure when analyzing repeated measures, specifically the test of interaction. Simulation results comparing test sizes and power of the rank transform, aligned rank and raw data analyses will be presented.
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