A valid screening system requires a screener that accurately predicts whether or not students are at risk given their current performance. To understand a screening measure's accuracy, predicted student performance data (i.e., screening data) must be compared with actual performance data. When these sets of data are compared in a setting where…

Students with difficulties in specific cognitive processes and academic achievement with otherwise normal levels of intellectual functioning are classified as having a learning disability (LD). In spite of extensive recent research in a number of disciplines, controversial debate continues with regard to several issues. To reconcile some of them…

Accurate identification of at-risk kindergarten and 1st-grade students through early reading screening is an essential element of responsiveness to intervention models of reading instruction. The authors consider predictive validity and classification accuracy of early reading screening assessments with attention to sensitivity and specificity.…

Perhaps the greatest value of response to intervention (RTI) as a decision framework is that it brings attention to variables (e.g., mastery of prerequisite skills, frequency of instructional corrective feedback, reinforcement schedules for correct responding) that if changed might make a meaningful difference for students (e.g., child rate of…

Within a response to intervention (RTI) framework, students are typically identified as "academically at-risk" if they score below a specified cut-point on a benchmark screener. Students identified as at-risk are provided with an intervention intended to increase achievement. In the following technical report, we describe a process for…