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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.
Pages in category "Autism screening and assessment tools" The following 16 pages are in this category, out of 16 total. This list may not reflect recent changes .
The TEACCH approach was developed at the University of North Carolina at Chapel Hill, originating in a child research project begun in 1964 by Eric Schopler and Robert Reichler. In 1965, Schopler visited the Sybil Elgar School in London and drew inspiration from the method developed by Sybil Elgar . [ 15 ]
assess autism in children, adolescents, and adults The Autism Diagnostic Observation Schedule ( ADOS ) is a standardized diagnostic test for assessing autism spectrum disorder . The protocol consists of a series of structured and semi-structured tasks that involve social interaction between the examiner and the person under assessment.
Among these measurements, the Autism Diagnostic Interview-Revised (ADI-R) and the Autism Diagnostic Observation Schedule (ADOS) are considered the "gold standards" for assessing autistic children. [ 24 ] [ 25 ] The ADI-R is a semi-structured parent interview that probes for symptoms of autism by evaluating a child's current behavior and ...
Free Resources for Program Evaluation and Social Research Methods This is a gateway to resources on program evaluation, how to, online guides, manuals, books on methods of evaluation and free software related to evaluation. Innovation Network A nonprofit organization working to share planning and evaluation tools and know-how. The organization ...
The Childhood Autism Rating Scale (CARS) is a behavior rating scale intended to help diagnose autism. CARS was developed by Eric Schopler , Robert J. Reichler , and Barbara Rochen Renner . The scale was designed to help differentiate children with autism from those with other developmental delays, such as intellectual disability .
The interview was also found to have adequate reliability across time. Research comparing ADI-R results of autistic children and children with other developmental disorders suggested that individual questions on the interview were slightly more valid when discriminating autism from intellectual disability than the algorithm as a whole.