The relationship between degree of academic support center use and college success was examined in a population of 262 college students with learning disabilities. Five years of attendance data and graduation rates were examined and submitted to discriminant function analysis to evaluate the predictive influence of academic support center use on…

In the past years, an increasing number of studies have investigated executive functions as predictors of individual differences in mathematical abilities. The present longitudinal study was designed to investigate whether the executive functions shifting, inhibition, and working memory differ between low achieving and typically achieving children…

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…

While the WISC and Bender-Gestalt are widely used for differential diagnosis, there is a need for empirically determined criteria for classification. Multivariate techniques seem especially promising in classification problems. This study determined the extent to which such an approach can classify children into rational, a priori categories of…

This study found that a linear discriminant function was able, with 73 percent accuracy, to distinguish between learning-disabled dropouts (n=213) and learning-disabled graduates (n=92). The discriminant function was composed of six variables--student ethnicity, reading ability, family intactness, family socioeconomic status, school transfers, and…