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  2. Autism Treatment Evaluation Checklist - Wikipedia

    en.wikipedia.org/wiki/Autism_Treatment...

    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.

  3. Modified Checklist for Autism in Toddlers - Wikipedia

    en.wikipedia.org/wiki/Modified_Checklist_for...

    The Modified Checklist for Autism in Toddlers (M-CHAT) is a psychological questionnaire that evaluates risk for autism spectrum disorder in children ages 16–30 months. The 20-question test is filled out by the parent, and a follow-up portion is available for children who are classified as medium- to high-risk for autism spectrum disorder.

  4. Verbal Behavior Milestones Assessment and Placement Program

    en.wikipedia.org/wiki/Verbal_Behavior_Milestones...

    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 ...

  5. Checklist for Autism in Toddlers - Wikipedia

    en.wikipedia.org/wiki/Checklist_for_Autism_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 ]

  6. Assessment of basic language and learning skills - Wikipedia

    en.wikipedia.org/wiki/Assessment_of_basic...

    The revised assessment of basic language and learning skills (ABLLS-R) is an assessment tool, curriculum guide, and skills-tracking system used to help guide the instruction of language and critical learner skills for children with autism or other developmental disabilities.

  7. Achenbach System of Empirically Based Assessment - Wikipedia

    en.wikipedia.org/wiki/Achenbach_System_of...

    Achenbach used machine learning and principal component analysis when developing the ASEBA in order to cluster symptoms together when forming the assessment's eight categories. This approach ignored the syndrome clusters found in the DSM-I, instead relying on patterns found in case records of children with identified psychopathologies.