Unsupervised machine learning for identifying challenging behavior profiles to explore cluster-based treatment efficacy in children with autism spectrum disorder: Retrospective data analysis study
• The current study explored subtypes of autism based on engagement in challenging behaviors and investigated differences in treatment response across the subgroups. • Seven clusters were found and each […]
Teaching children with autism spectrum disorder desire-based emotion prediction and cause
• The current study taught three autistic children to predict others’ emotions during contrived scenarios in which another’s desires were met or unmet. • The treatment package included rules, modeling, […]
Assessing the social validity of telehealth-based applied behavior analysis services for autism spectrum disorder
• The current study assessed quality of life (QoL) and social validity reported by caregivers of autistic children receiving applied behavior analysis (ABA) telehealth therapy during the COVID-19 pandemic. • […]