The aim of the present study was to address how to effectively predict mathematics learning disability (MLD). Specifically, we addressed whether cognitive data obtained during kindergarten can effectively predict which children will have MLD in third grade, whether an abbreviated test battery could be as effective as a standard psychoeducational assessment at predicting MLD, and whether the abbreviated battery corresponded to the literature on MLD characteristics. Participants were 226 children who enrolled in a 4-year prospective longitudinal study during kindergarten. We administered measures of mathematics achievement, formal and informal mathematics ability, visual-spatial reasoning, and rapid automatized naming and examined which test scores and test items from kindergarten best predicted MLD at grades 2 and 3. Statistical models using standardized scores from the entire test battery correctly classified ~80-83 percent of the participants as having, or not having, MLD. Regression models using scores from only individual test items were less predictive than models containing the standard scores, except for models using a specific subset of test items that dealt with reading numerals, number constancy, magnitude judgments of one-digit numbers, or mental addition of one-digit numbers. These models were as accurate in predicting MLD as was the model including the entire set of standard scores from the battery of tests examined. Our findings indicate that it is possible to effectively predict which kindergartners are at risk for MLD, and thus the findings have implications for early screening of MLD.The primary aim of the present study was to examine whether cognitive data obtained from psychoeducational or neuropsychological assessments of kindergarteners can effectively predict math achievement outcome in third grade. Although this study of predictors was not a screening study per se, the findings from the present study may have direct implications for early screening of risk for math learning disability (MLD). The findings may also contribute toward efforts to identify core deficits that underlie MLD. Relative to knowledge about reading disability (RD), there is less known about the core deficit(s) of mathematics disability, and there are few evidence-based screening tools available for detecting risk for poor achievement in mathematics. The proposed project was designed to help address these gaps in researchbased practice.
The Need for Early Identification of MLDIt is important to identify risk for MLD, because-like poor reading achievement-poor math achievement is a risk factor for negative outcomes in both childhood and adulthood. Education level achieved in adulthood is associated with math performance level (Delazer, Girelli, Grana, Requests for reprints should be sent to Michèle Mazzocco, KKI West Campus, 3825 Greenspring Avenue, Painter Building, Top Floor, Baltimore, MD 21211. Electronic inquiries may be send to mazzocco@kennedykrieger.org.
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