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Yen-Chin Wang; Chung-Yuan Cheng; Chi-Shin Wu; Chi-Chun Lee; Susan Shur-Fen Gau – Autism: The International Journal of Research and Practice, 2025
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…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Clinical Diagnosis, Error Patterns
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Kallitsoglou, Angeliki – Journal of Learning Disabilities, 2018
It is unknown whether children with conduct problems (CP) and poor reading (PR) skills exhibit more profound executive function impairments than children with CP only and whether such impairments are explained by coexisting PR. Executive functions were compared in four groups of 7- to 8-year-old children: 26 CP only, 35 PR only, 27 CP-PR, and 31…
Descriptors: Executive Function, Behavior Problems, Reading Difficulties, Children
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Flouri, Eirini; Panourgia, Constantina – Journal of Abnormal Child Psychology, 2011
The aim of this study was to test whether negative cognitive errors (overgeneralizing, catastrophizing, selective abstraction, and personalizing) mediate the moderator effect of non-verbal cognitive ability on the association between adverse life events (life stress) and emotional and behavioral problems in adolescence. The sample consisted of 430…
Descriptors: Educational Needs, Disadvantaged, Hyperactivity, Psychiatry