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…

Students with autism spectrum disorders (ASD) have difficulties with verbal language. Many interventions to remediate such deficits require numerous materials and significant teacher time. This study sought to determine if a simple multi-component intervention that incorporated noncontingent reinforcement (NCR) and verbal modeling would result in…