We examined how strongly motivation, metacognition, and psychopathology acted as predictors of learning disabilities (LD). The results from five studies suggested that level of motivation (as shown through self-efficacy, motivational force, task avoidance, goal commitment, or self-concept) was highly accurate in classifying students with or at risk for LD. Metacognition and psychopathology were also strong predictors. Classification accuracy using receiver operating characteristic (ROC) curves ranged between 77% and 96%. These rates were much higher than the chance-level (i.e., 50%-55%) rates sometimes yielded by cognitive indices. Linear discriminant function (LDF) analysis substantiated classification accuracy. These results suggest that motivation, metacognition, and psychopathology are strong predictors of LD. Understanding the influence of these characteristics may help researchers and practitioners more accurately screen and treat students with LD.

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The purpose of the present study was to assess self-regulation of students with visual impairments across two academic subjects, language and math. The participants were 46 Greek students with visual impairments who completed self-regulation measures across the subject matters of language and math. Initially, the factorial validity of the scale was established. In turn, results pointed to the existence of a single universal self-regulation functioning pattern in individuals with visual impairments across subject matters (at the mean level). Measurement invariance was also observed at the item level through imposing equality constraints between items from different subjects. Based on the findings, it is suggested that self-regulation is not context specific for individuals with visual impairments.