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Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
Disproportionality and learning disabilities: parsing apart race, socioeconomic status, and language
Dara Shifrer1, Chandra Muller, Rebecca Callahan
1University of Texas at Austin, Population Research Center, Austin, TX 78712, USA. dshifrer@prc.utexas.edu
Abstract:
The disproportionate identification of learning disabilities among certain sociodemographic subgroups, typically groups that are already disadvantaged, is perceived as a persistent problem within the education system. The academic and social experiences of students who are misidentified with a learning disability may be severely restricted, whereas students with a learning disability who are never identified are less likely to receive the accommodations and modifications necessary to learn at their maximum potential. The authors use the Education Longitudinal Study of 2002 to describe national patterns in learning disability identification. Results indicate that sociodemographic characteristics are predictive of identification with a learning disability. Although some conventional areas of disproportionality are confirmed (males and language minorities), differences in socioeconomic status entirely account for African American and Hispanic disproportionality. The discrepancy between the results of bivariate and multivariate analyses confirms the importance of employing multivariate multilevel models in the investigation of disproportionality.
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