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  2. Vanderbilt ADHD diagnostic rating scale - Wikipedia

    en.wikipedia.org/wiki/Vanderbilt_ADHD_diagnostic...

    The Vanderbilt ADHD Diagnostic Rating Scale (VADRS) is a psychological assessment tool for attention deficit hyperactivity disorder (ADHD) symptoms and their effects on behavior and academic performance in children ages 6–12.

  3. Swanson, Nolan and Pelham Teacher and Parent Rating Scale

    en.wikipedia.org/wiki/Swanson,_Nolan_and_Pelham...

    The Swanson, Nolan and Pelham Teacher and Parent Rating Scale (SNAP), developed by James Swanson, Edith Nolan and William Pelham, is a 90-question self-report inventory designed to measure attention deficit hyperactivity disorder (ADHD) and oppositional defiant disorder (ODD) symptoms in children and young adults.

  4. Conners Comprehensive Behaviour Rating Scale - Wikipedia

    en.wikipedia.org/wiki/Conners_Comprehensive...

    It is not a purely objective test. However, it can help better understand a child's behavioural, social and emotional stability. Further analysis is needed to help avoid a misdiagnosis, this can be done through pairing tests with attention span tests and an ADHD symptom checklist. The CBRS rating scale is not perfect, but when used correctly by ...

  5. Online test recommended to help diagnose youngsters with ADHD ...

    www.aol.com/online-test-recommended-help...

    According to ADHD UK, some 2.6 million people in the UK have the condition, including more than 700,000 children. There is currently no national data published on referrals or waiting times for ...

  6. Child Behavior Checklist - Wikipedia

    en.wikipedia.org/wiki/Child_Behavior_Checklist

    The Child Behavior Checklist (CBCL) is a widely used caregiver report form identifying problem behavior in children. [ 1 ] [ 2 ] It is widely used in both research and clinical practice with youths. It has been translated into more than 90 languages, [ 3 ] and normative data are available integrating information from multiple societies.

  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.