Identification of Learning Disabled Adolescents: A Bayesian Approach

Abstract

The identification of learning disabled adolescents for program placement is a major concern of school personnel. An array of problems are associated with the identification of learning disabled populations ranging from the use of the best differentiating characteristics to the types of measures used. The identification model discussed in this article attempts to address some of these problems. The Bayesian approach is an alternative to traditional methods that rely primarily on psychometric data or classroom/clinical observation for identification decisions.