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The Autism Treatment Evaluation Scale (ATEC) is a 77-item diagnostic assessment tool that was developed by Bernard Rimland and Stephen Edelson at the Autism Research Institute. The ATEC was originally designed to evaluate the effectiveness of autism treatments, but it may also be beneficial as a screening tool for children.
Screening tools include the Modified Checklist for Autism in Toddlers (M-CHAT), the Early Screening of Autistic Traits Questionnaire, and the First Year Inventory; initial data on M-CHAT and its predecessor, the Checklist for Autism in Toddlers (CHAT), on children aged 18–30 months suggests that it is best used in a clinical setting and that ...
The first stage stratifies children into 3 group- low risk, medium risk, and high risk. Children who are medium risk go to the second stage for further clarification. A child whose score was greater than 3 at the first screening and greater than 2 on the second screening had a 47.5% risk of being diagnosed with autism spectrum disorder.
The Verbal Behavior Milestones Assessment and Placement Program (VB-MAPP) is an assessment and skills-tracking system to assess the language, learning and social skills of children with autism or other developmental disabilities. A strong focus of the VB-MAPP is language and social interaction, which are the predominant areas of weakness in ...
The Checklist for Autism in Toddlers (CHAT) is a psychological questionnaire designed to evaluate risk for autism spectrum disorder in children ages 18–24 months. The 14-question test is filled out by the parent and a pediatrician or physician and takes approximately 5 minutes to complete. [ 1 ]
The second edition, published in 2012, included updated norms, improved algorithms for Modules 1 to 3, and a new Toddler Module (T) for assessing children aged 12 to 30 months. [7] [8] The scoring algorithm was also revised to align with the recent changes in the DSM-5 diagnostic criteria. While the ADOS-G had separate sections for social and ...
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Parents of 1,150 primary school aged children were sent the CAST questionnaire, with 199 responders and 174 taking part in the full data analysis. The results suggested that, compared to other screening tools currently available, the CAST may be useful for identifying children at risk for autism spectrum disorders, in a mainstream non-clinical sample.