Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates of misclassifications and how training data affect model generalizability. The Social Responsive Scale data were collected from two cohorts in Taiwan: the clinical cohort comprised 1203 autistic participants and 1182 non-autistic comparisons, and…

A neurological disorder, along with several behavioral issues, may be to blame for a child's subpar performance in the academic journey (such as anxiety, depression, learning disorders, and irritability). These symptoms can be used to diagnose children with ASD, and supervised machine learning models can help differentiate between ASD traits and…

Background: Changes in reward processing are thought to be involved in the etiology of attention-deficit/hyperactivity disorder (ADHD), as well as other developmental disorders. In addition, different forms of therapy for ADHD rely on reinforcement principles. As such, improved understanding of reward processing in ADHD could eventually lead to…

The response to intervention model (RTI) represents a promising framework for the early identification and prevention of learning and behavior problems for students struggling in school. If RTI is properly implemented, it should reduce unnecessary referrals and placements into special education, and increase the accuracy of special education…

The Center on the Social and Emotional Foundations for Early Learning (CSEFEL) is a federally funded national resource center designed to support early care and education providers address the social-emotional needs of children birth through age 5 years. Recent research has found that an extraordinarily high number of young children are being…

Children born very prematurely are at risk of low average IQ and behaviour difficulties throughout childhood and adolescence. Associations among preterm birth, IQ and behaviour have been reported; however, the nature of the relationship among these outcomes is not fully understood. Some studies have proposed that the consequences of preterm birth,…

In this article we describe the nature of attention deficit disorders (ADDs) within an individual differences model of abilities. In so doing, a model-based explanation for the sources of learning and performance difficulties among individuals identified with ADDs is provided. Earlier models of ADDs are discussed, and the proposed loci of ADDs…

Uses data from school age children (N=556) to test three models of the relation between adaptive behavior and intelligence. Model specifying adaptive behavior and intelligence as separate but related constructs proved significantly better than models specifying adaptive behavior and intelligence as completely unrelated constructs or as identical…

The present study investigated the working memory abilities of children with attention deficit/hyperactivity disorder (ADHD) as measured by the Stanford-Binet Intelligence Scales, Fifth Edition (SBV). In a retrospective causal-comparative design, the archival data of 46 ADHD children were compared to 59 nondiagnosed children. The ADHD children…

Antisocial behavior has been the object of investigation in many studies seeking to establish its etiological factors as well as risk factors which help to perpetuate such behavior over the course of the individual's life. In this paper, we seek to classify and clarify risk factors underlying the origin and development of antisocial behaviors from…