Journal article
The Random Forests statistical technique: An examination of its value for the study of reading
Abstract
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 paper, we discuss the method of Random Forests and demonstrate its suitability for addressing the statistical concerns raised by such datasets. The method is contrasted with other methods of estimating relative variable importance, especially Dominance Analysis and …
Authors
Matsuki K; Kuperman V; Van Dyke JA
Journal
Scientific Studies of Reading, Vol. 20, No. 1, pp. 20–33
Publisher
Taylor & Francis
Publication Date
January 2, 2016
DOI
10.1080/10888438.2015.1107073
ISSN
1088-8438