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Reliability and validity of the Autism Screen for Kids and Youth.

Rachelle LaviMark A Stokes
Published in: Autism : the international journal of research and practice (2023)
-5 ASD). We evaluated the Hebrew instrument's performance on 167 autistic and non-autistic children and adolescents. We found that the ASKY algorithm correctly identified 92% of the autistic individuals as "probable ASD" and correctly identified 72% of the non-autistic individuals as "probable non-ASD," with these classifications showing excellent stability over time. Using total questionnaire score instead of the algorithm improved the ASKY's ability to correctly identify autistic individuals as "probable ASD" and non-autistic individuals as "probable non-ASD" to 93% and 78%, respectively. Overall, the ASKY is a promising instrument for ASD screening of older children.
Keyphrases
  • autism spectrum disorder
  • intellectual disability
  • attention deficit hyperactivity disorder
  • young adults
  • machine learning
  • mental health
  • cross sectional
  • patient reported outcomes
  • middle aged