Evaluation of Bootstrap and Parametric Percentile Contrasts. Volume 1. Splits Analysis: A Method for Noncentral Tendency Comparisons

Abstract

In some instances group comparisons in terms of upper or lower portions of the score distributions are more informative than comparisons of central tendency. These comparisons can be done by carrying out a split on the data prior to an analysis of variance (ANOVA). The resulting test statistic from ANOVA is not distributed as an F ration however, and requires evaluation for significance relative to an empirical monte-carlo distribution. An example and computer program are presented.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 1990
Accession Number
ADA230506

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  • Jeffrey L. Rasmussen

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  • Analysis Of Variance
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  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
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