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  2. Wender Utah Rating Scale - Wikipedia

    en.wikipedia.org/wiki/Wender_Utah_Rating_Scale

    The Wender Utah Rating Scale (WURS) is a psychological assessment tool used to help diagnose attention deficit hyperactivity disorder (ADHD) in adults. It is a self-report questionnaire that asks individuals to retrospectively recall and rate the frequency and severity of symptoms they experienced during childhood that are characteristic of ADHD.

  3. 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.

  4. Conners Comprehensive Behaviour Rating Scale - Wikipedia

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

    The CBRS tool has limitations, according to the medical assessment publisher MHS Assessments, validity analyses are used to test the correctness of the CBRS Rating Scale. They also state that the mean accuracy rate of the CBRS is 78% from all three forms. There is also the fact that assessing a child's behaviour can be subjective. [1]

  5. 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. [1]

  6. Strengths and Difficulties Questionnaire - Wikipedia

    en.wikipedia.org/wiki/Strengths_and_Difficulties...

    The Strengths and Difficulties Questionnaire (SDQ) is a screening questionnaire for emotional and behavioral problems in children and adolescents ages 2 through 17 years old, developed by child psychiatrist Robert N. Goodman in the United Kingdom.

  7. 6 Self-Screening Questions You Can Ask to Determine If You ...

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  8. 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.

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