Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Dec 23.
doi: 10.1002/aur.70155. Online ahead of print.

An Examination of Racial Bias in Scoring the Autism Diagnostic Observation Schedule (ADOS) Module 3: An Item Response Theory Analysis

Affiliations

An Examination of Racial Bias in Scoring the Autism Diagnostic Observation Schedule (ADOS) Module 3: An Item Response Theory Analysis

Yuen Yvonne Yu et al. Autism Res. .

Abstract

Given the rising prevalence of autism among racial minority children in the United States, but persistent service use disparities, this study examines potential bias in specific items from the autism diagnostic observation schedule (ADOS), a highly regarded autism evaluation. We leveraged unidimensional item response theory graded response models and a sample of 735 children to analyze the differential item functioning (DIF) of items within ADOS Module 3. Three items showed significant signs of racial bias: A1 (overall language level), A5 (offers information), and D5 (compulsions and rituals). On these items, Black/African American and Asian children were usually more likely to be rated as showing autistic behaviors than White children with similar autism levels. The impact of racial bias on the item score was small, and the impact on the overall test score was even smaller: on a scale of 0-48 points, the effect of racial bias was estimated at 0.23 total points for Black/African American children and 0.16 points for Asian children. Furthermore, none of the items showing significant bias contribute to the autism classification algorithm. This analysis suggests a small but detectable amount of bias in several specific ADOS items, but not in items central to informing an autism diagnosis. Thus, bias appears statistically, but not clinically, significant. This contributes to examinations of racial bias in the ADOS as the first analysis of Asian children and the first in-depth look at all items in the most commonly used version among school-aged children.

Keywords: ADOS; autism; differential item functioning; item response theory; racial bias.

Plain language summary

In the ADOS, a widely used autism assessment, school‐age children with fluent language who are Asian or Black/African American are slightly more likely to be rated as showing autistic behaviors on 3 out of 24 items. These small differences appear on items that do not affect the total score. Still, clinicians should be aware of possible bias when evaluating Asian and Black/African American children, especially when scoring ADOS Module 3 items A1 (overall language level), A5 (offers information), and D5 (compulsions and rituals).

PubMed Disclaimer

References

    1. Antezana, L., A. Scarpa, A. Valdespino, J. Albright, and J. A. Richey. 2017. “Rural Trends in Diagnosis and Services for Autism Spectrum Disorder.” Frontiers in Psychology 8: 8. https://doi.org/10.3389/fpsyg.2017.00590.
    1. Bishop, S. L., and C. Lord. 2023. “Commentary: Best Practices and Processes for Assessment of Autism Spectrum Disorder – The Intended Role of Standardized Diagnostic Instruments.” Journal of Child Psychology and Psychiatry 64, no. 5: 834–838. https://doi.org/10.1111/jcpp.13802.
    1. Botha, M., J. Hanlon, and G. L. Williams. 2021. “Does Language Matter? Identity‐First Versus Person‐First Language Use in Autism Research: A Response to Vivanti.” Journal of Autism and Developmental Disorders 53, no. 2: 870–878. https://doi.org/10.1007/s10803‐020‐04858‐w.
    1. Carr, T. 2013. “Autism Diagnostic Observation Schedule.” In Encyclopedia of Autism Spectrum Disorders, edited by F. R. Volkmar, 349–356. Springer. https://doi.org/10.1007/978‐1‐4419‐1698‐3_896.
    1. Chalmers, R. P. 2012. “Mirt: A Multidimensional Item Response Theory Package for the R Environment.” Journal of Statistical Software 48, no. 6: 1–29.

LinkOut - more resources