Much of learning disabilities research relies on categorical classification frameworks that use psychometric tests and cut points to identify children with reading or math difficulties. However, there is increasing evidence that the attributes of reading and math learning disabilities are dimensional, representing correlated continua of severity.…

In this study, we tested the outcomes of access to a response to intervention (RtI) model in kindergarten or in first grade on end-of-Grade-2 reading achievement and placement in special education. Across five schools, 214 students who began having access to Tier 2 intervention in kindergarten or first grade were compared in Grades 1 and 2 with…

Even with increased risks, many children demonstrate resiliency and avoid being labeled for special education; however, research on risk and resilience has been problematic because of inadequate statistical models, limitations of available data, and the exclusion of key protective factors. This study used a national sample to examine the influence…

School districts in the U.S. are mandated to identify young children with disabilities. Developmental screeners are typically used to screen for such skill deficits. Academic tests are used in older students. A significant challenge is identifying children with potential learning disabilities early in their school career. This study identifies a…

Accurate prediction of early childhood reading performance could help identify at-risk students, aid in the development of evidence-based intervention strategies, and further our theoretical understanding of reading development. This study assessed the validity of the Developmental Indicator for the Assessment of Learning (DIAL) language-based…