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Related Concept Videos

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
Modeling in Therapy01:26

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...
Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

Diagnostic and Statistical Manual of Mental Disorders (DSM)

The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...

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Related Experiment Video

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Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers
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Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers

Published on: March 14, 2018

The Autism Diagnostic Observation Schedule: revised algorithms for improved diagnostic validity.

Katherine Gotham1, Susan Risi, Andrew Pickles

  • 1University of Michigan Autism and Communication Disorders Center, Ann Arbor, MI, 48109-2054, USA. kog@umich.edu

Journal of Autism and Developmental Disorders
|December 21, 2006
PubMed
Summary

The Autism Diagnostic Observation Schedule (ADOS) algorithm was revised for better autism spectrum disorder (ASD) diagnosis. New domains improve the predictive value of ASD assessments in children.

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Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder
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Last Updated: Jul 18, 2026

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers
09:16

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers

Published on: March 14, 2018

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder
09:13

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder

Published on: April 22, 2015

Area of Science:

  • Developmental Psychology
  • Child Psychiatry
  • Behavioral Science

Background:

  • The Autism Diagnostic Observation Schedule (ADOS) is a key tool for diagnosing autism spectrum disorder (ASD).
  • Previous versions required refinement to enhance diagnostic accuracy across diverse age and language groups.
  • Item and domain distributions in Modules 1-3 needed analysis for optimization.

Purpose of the Study:

  • To review item and domain total distributions for ADOS Modules 1-3 in a large cohort of children.
  • To identify items that best differentiate between autism spectrum disorder (ASD) and non-spectrum disorders.
  • To revise the ADOS algorithm for improved diagnostic predictive value.

Main Methods:

  • Analysis of 1,630 ADOS assessments from children aged 14 months to 16 years.
  • Stratification of children by age and language level to create homogeneous subgroups.
  • Multi-factor item-response analysis to select differentiating items and form new domains.

Main Results:

  • Items were selected based on their ability to differentiate between ASD and non-spectrum diagnoses.
  • Two new domains, Social Affect and Restricted, Repetitive Behaviors (RRB), were established.
  • Combining these domains into a single score with applied thresholds generally improved predictive value.

Conclusions:

  • The revised ADOS algorithm, incorporating Social Affect and RRB domains, enhances diagnostic accuracy.
  • This updated approach offers improved predictive value for autism spectrum disorder (ASD) identification.
  • The study supports the use of refined algorithms for more precise ASD assessment in children.