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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

Jensen, Arthur R.; Weng, Li-Jen – Intelligence, 1994
The stability of psychometric "g," the general factor of intelligence, is investigated in simulated correlation matrices and in typical empirical data from a large battery of mental tests. "G" is robust and almost invariant across methods of analysis. A reasonable strategy for estimating "g" is suggested. (SLD)
Descriptors: Correlation, Estimation (Mathematics), Factor Analysis, Intelligence

Depaepe, Marc, Ed. – International Journal of Educational Research, 1997
The six articles of this theme issue relate the history of empirical research in education to its sociohistorical background, examining the proposition that the rise of empirical research in education was linked to complex factors such as the rise of positivism in the 19th century or the institutional growth of an educational market. (SLD)
Descriptors: Child Development, Educational History, Educational Policy, Elementary Secondary Education