Standardizing ADOS Scores for a Measure of Severity in Autism Spectrum Disorders

Katherine Gotham; Andrew Pickles; Catherine Lord

doi:10.1007/s10803-008-0674-3

Standardizing ADOS Scores for a Measure of Severity in Autism Spectrum Disorders

Katherine Gotham, Andrew Pickles, Catherine Lord

Biostatistics & Health Informatics

Univ Michigan, Autism & Commun Disorders Ctr

Research output: Contribution to journal › Article › peer-review

1221 Citations (Scopus)

Abstract

The aim of this study is to standardize Autism Diagnostic Observation Schedule (ADOS) scores within a large sample to approximate an autism severity metric. Using a dataset of 1,415 individuals aged 2-16 years with autism spectrum disorders (ASD) or nonspectrum diagnoses, a subset of 1,807 assessments from 1,118 individuals with ASD were divided into narrow age and language cells. Within each cell, severity scores were based on percentiles of raw totals corresponding to each ADOS diagnostic classification. Calibrated severity scores had more uniform distributions across developmental groups and were less influenced by participant demographics than raw totals. This metric should be useful in comparing assessments across modules and time, and identifying trajectories of autism severity for clinical, genetic, and neurobiological research.

Original language	English
Pages (from-to)	693-705
Number of pages	13
Journal	Journal of Autism and Developmental Disorders
Volume	39
Issue number	5
DOIs	https://doi.org/10.1007/s10803-008-0674-3
Publication status	Published - May 2009

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title = "Standardizing ADOS Scores for a Measure of Severity in Autism Spectrum Disorders",

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Standardizing ADOS Scores for a Measure of Severity in Autism Spectrum Disorders

Abstract

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