Although research on academic self-regulation has proliferated in recent years, no studies have investigated the question of whether the perceived usefulness and the use of standard self-regulated learning strategies and compensation strategies provide a differential prediction of academic achievement for university students with and without learning disabilities (LD). We developed and tested a model explaining interrelationships among self-regulatory variables and grade point average (GPA) using structural equation modeling and multiple group analysis for students with LD (n = 53) and without LD (n = 421). Data were gathered using a new instrument, the Learning Strategies and Study Skills survey. The results of this study indicate that students with LD differed significantly from students without LD in the relationships between their motivation for and use of standard self-regulated learning strategies and compensation strategies, which in turn provided a differential explanation of academic achievement for students with and without LD. These paths of influence and idiosyncrasies of academic self-regulation among students with LD were interpreted in terms of social cognitive theory, metacognitive theory, and research conducted in the LD field.

No abstract

One hundred and thirty-two graduates with learning disabilities (LD) of a large, public, competitive postsecondary institution were surveyed to determine levels of employment self-efficacy and satisfaction. Based upon a response rate of 67% ( N = 89), graduates reported high levels of employment self-efficacy and satisfaction. Although there were no significant differences related to levels of self-efficacy and job satisfaction and selected demographic variables, perceptions of employment self-efficacy and the use of self-regulatory strategies/accommodations were found to be significant predictors of employment satisfaction.

No abstract

This study examined the differential impacts of SAT scores and high school rank, college academic level, motivational variables, and self-regulatory variables in explaining variance in the academic achievement of male and female collegians using structural equation modeling and multiple groups analyses. Significantly, in light of earlier research, we found no gender differences. Structural equation modeling accounted for 65% of the variance on cumulative GPA for females and 58% for males. Several effects in the model were of interest, such as the effects of the SAT-Verbal, high school rank, and motivation on other variables in the model.