![]() The authors cited a score of 32 or more as indicating "clinically significant levels of autistic traits". 80% of adults diagnosed with autism spectrum disorders scored 32 or more, compared with only 2% of the control group. In the initial trials of the test, the average score in the control group was 16.4, with men scoring slightly higher than women (about 17 versus about 15). Factor analysis of sample results have been inconsistent, with various studies finding two, three or four factors instead of five. The questions cover five different domains associated with the autism spectrum: social skills communication skills imagination attention to detail and attention switching/tolerance of change. ![]() The subject scores one point for each question which is answered "autistically" either slightly or definitely. Approximately half the questions are worded to elicit an "agree" response from neurotypical individuals, and half to elicit a "disagree" response. Each question allows the subject to indicate "definitely agree", "slightly agree", "slightly disagree" or "definitely disagree". The test consists of 50 statements, each of which is in a forced choice format. ![]() The PhenX Toolkit uses age-specific versions of AQ as its adult and adolescent screening protocols for Symptoms of Autism Spectrum Disorders. It is commonly used for self diagnosis of autism spectrum disorders, although it is not intended to be a diagnostic test. The test was popularised by Wired in December 2001 when published alongside their article, "The Geek Syndrome". More recently, versions of the AQ for children and adolescents have also been published. Consisting of fifty questions, it aims to investigate whether adults of average intelligence have symptoms of autism spectrum conditions. The autism-spectrum quotient ( AQ) is a questionnaire published in 2001 by Simon Baron-Cohen and his colleagues at the Autism Research Centre in Cambridge, UK. (Contains 1 figure and 9 tables.Psychological questionnaire Autism Quotient for Adults Conclusions: The short measures have potential to aid referral decision making for specialist assessment and should be further evaluated. Internal consistency was greater than 0.85 on all measures. At a cut-point of 3 on the Q-CHAT-10, sensitivity was 0.91, specificity was 0.89, and PPV was 0.58. At a cut-point of 6 on the AQ-10 child, sensitivity was 0.95, specificity was 0.97, and PPV was 0.94. At a cut-point of 6 on the AQ-10 adolescent, sensitivity was 0.93, specificity was 0.95, and PPV was 0.86. Results: At a cut-point of 6 on the AQ-10 adult, sensitivity was 0.88, specificity was 0.91, and positive predictive value (PPV) was 0.85. The 10 best items were selected on each instrument to produce short versions. Participants completed full-length versions of the measures. The control samples were recruited through a variety of sources. Case participants were recruited from the Autism Research Centre's database of volunteers. Method: A case sample of more than 1,000 individuals with ASC (449 adults, 162 adolescents, 432 children and 126 toddlers) and a control sample of 3,000 controls (838 adults, 475 adolescents, 940 children, and 754 toddlers) with no ASC diagnosis participated. The aim was to identify 10 items on the Autism Spectrum Quotient (AQ) (Adult, Adolescent, and Child versions) and on the Quantitative Checklist for Autism in Toddlers (Q-CHAT) with good test accuracy. Objective: Frontline health professionals need a "red flag" tool to aid their decision making about whether to make a referral for a full diagnostic assessment for an autism spectrum condition (ASC) in children and adults.
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