In this study, we identified child- and family-level characteristics most strongly associated with clinical identification of language disorder for preschool-aged children. We used machine learning to identify variables that best classified children receiving therapy for language disorder among a sample of 483 3- to 5-year-old children (54%…

Substantial evidence has established that individual differences in executive function (EF) in early childhood are uniquely predictive of children's academic readiness at school entry. The current study tested whether growth trajectories of EF across the early childhood period could be used to identify a subset of children who were at pronounced…

Sixty-five subjects diagnosed as learning disabled and reporting police contact by the median age of 18 were interviewed at age 25. Analysis on parent and subject variables correctly classified 75% of subjects into persisting and nonpersisting delinquent groups and revealed that personality characteristics such as impulsivity and poor judgment…