title: Development of a symptom validity index to assist in identifying ADHD symptom exaggeration or feigning.
abstract: Concerns have been identified regarding the ease with which students and young adults can feign or exaggerate symptoms of ADHD, and no formal measures exist to identify such behavior when it occurs. This article describes the development and initial validation of a new symptom validity measure designed to detect feigned or exaggerated ADHD symptom reporting.
  
  
  
  Employing items from a commonly used self-report measure of ADHD (Conners' Adult ADHD Rating Scale [CAARS]) and select items from a scale measuring symptoms of dissociation, we assessed students diagnosed with ADHD, students with other diagnoses, and student volunteers with no psychopathology.
  
  
  
  This new measure (Exaggeration Index or EI) demonstrated excellent specificity (.97) and adequate sensitivity (.24) in discriminating between those who are suspected of or instructed to feign or exaggerate symptoms of ADHD and all other clinical groups.
  
  
  
  The results strongly suggest that the EI may be a useful adjunct to existing validity measures when identifying exaggerated or implausible symptoms of ADHD.
authors.affiliation: a Regional Assessment & Resource Centre , Queen's University , Kingston , Canada.
authors.forename: Allyson G
authors.initials: AG
authors.lastname: Harrison
authors.affiliation: a Regional Assessment & Resource Centre , Queen's University , Kingston , Canada.
authors.forename: Irene T
authors.initials: IT
authors.lastname: Armstrong
mesh_terms: D000293:Adolescent; D000328:Adult; D001289:Attention Deficit Disorder with Hyperactivity / Q000175:diagnosis* / Q000523:psychology*; D008192:Deception; D005260:Female; D064368:Healthy Volunteers; D006801:Humans; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests; D011932:Reading; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013334:Students; D055815:Young Adult
keywords: ADHD; assessment; exaggeration; validity testing