The processes used in identifying/diagnosing specific learning disabilities (SLDs) vary across settings and classification systems. Moreover, the theoretically and mathematically derived identification models (i.e., discrepancy model) have thus far not demonstrated adequate reliability and validity. The present study explores the utility of…

The Individuals with Disabilities Education Improvement Act (2004) allows alternate pathways for school districts to identify and classify students with a specific learning disability (SLD). Response to Intervention (RtI) is one of the frameworks schools can use when eliminating the use of the discrepancy model. The premise of RtI posits that…

We investigated the classification accuracy of learning disability (LD) identification methods premised on the identification of an intraindividual pattern of processing strengths and weaknesses (PSW) method using multiple indicators for all latent constructs. Known LD status was derived from latent scores; values at the observed level identified…

Gathering labeled data in educational data mining (EDM) is a time and cost intensive task. However, the amount of available training data directly influences the quality of predictive models. Unlabeled data, on the other hand, is readily available in high volumes from intelligent tutoring systems and massive open online courses. In this paper, we…

The present study employed data simulation techniques to investigate the 1-year stability of alternative classification schemes for identifying children with reading disabilities. Classification schemes investigated include low performance, unexpected low performance, dual-discrepancy, and a rudimentary form of constellation model of reading…

Methodologies of embodied learning, radical pedagogies and applied drama offer a lens through which to investigate the empowerment of young people with learning disabilities in Northern Ireland, thus counteracting more traditional, disempowering methods. According to Helen Nicholson, the "participatory, dialogic and dialectic qualities as…

Mathematical learning disability (MLD) research often conflates low achievement with disabilities and focuses exclusively on deficits of students with MLDs. In this study, the author adopts an alternative approach using a response-to-intervention MLD classification model to identify the resources students draw on rather than the skills they lack.…

The regression-based discrepancy definition of learning disabilities has been suggested by Rutter and Yule as an improvement of the well-known and much criticized achievement-intelligence discrepancy definition, whereby the examinee's predicted reading attainment is substituted for the intelligence score in the discrepancy expression. Even though…

A longitudinal sample from the Educational Longitudinal Study of 2002 was used to determine differences in work outcomes between (a) individuals with learning disabilities or emotional-behavior disorders and (b) individuals with or without disabilities. Twelve factors were arranged into individual, family, school-peer, and community categories.…

RTI as a framework for decision making has implications for the diagnosis of specific learning disabilities. Any diagnostic tool must meet certain standards to demonstrate that its use leads to predictable decisions with minimal risk. Classification agreement analyses are described as optimal for demonstrating the technical adequacy of RTI…

There has been much recent discussion among educators on the topic of implementing a response to intervention (RTI) framework to identify special education needs for students with specific learning disabilities. There is good reason for such discussion, as all students benefit from RTI when implemented with integrity and fidelity. The result of…

Classification procedures are common and useful in behavioral, educational, social, and managerial research. Supervised classification techniques such as discriminant function analysis assume training data are perfectly classified when estimating parameters or classifying. In contrast, unsupervised classification techniques such as finite mixture…

This study examined the consequences of classifying postsecondary students as learning disabled (LD) using five objective sets of criteria: IQ-achievement discrepancies (1.0 to 1.49 SD, 1.5 to 1.99 SD, and greater than or equal to 2.0 SD), DSM-IV criteria, and chronic educational impairment beginning in childhood. The participants were 378…

The purpose of the present study was to investigate the presence of teacher biases with regard to identification of students with learning disabilities (LD). Factors related to teachers' gender, age, and experience, along with children's gender, were investigated. Results suggested that teacher gender is associated with biases with regard to…