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Matsuki, Kazunaga; Kuperman, Victor; Van Dyke, Julie A. – Scientific Studies of Reading, 2016
Studies investigating individual differences in reading ability often involve data sets containing a large number of collinear predictors and a small number of observations. In this article, we discuss the method of Random Forests and demonstrate its suitability for addressing the statistical concerns raised by such data sets. The method is…
Descriptors: Reading Ability, Statistical Analysis, Research Methodology, Inferences