The structure of autism symptoms as measured by the autism diagnostic observation schedule.
ADOS Modules 1 and 3 give messy factor patterns that shift with age and IQ, so lean on the newer bifactor model for clearer scoring.
01Research in Context
What this study did
Norris et al. (2012) looked at how autism symptoms group together on the ADOS. They tested Modules 1 and 3, which cover non-verbal kids and fluent speakers.
The team ran many factor models on the checklist scores. They wanted one clear map of social, communication, and repetitive traits.
What they found
No single model won. Every factor structure fit the data almost equally well.
The best pattern changed with age and IQ. Younger or lower-functioning kids gave different clusters than older or higher-functioning kids.
How this fits with other research
Albert et al. (2024) updates this picture. Using the newer ADOS-2, they show a bifactor model fits best: one broad autism trait plus two small factors for social affect and repetitive behaviors. Their clearer result supersedes the 2012 muddle.
Sipes et al. (2014) extends the same question to toddlers. With the BISCUIT screener, a three-factor model fit best, hinting that age and tool both shape the answer.
Greer et al. (2014) found a similar social-versus-repetitive split in kids with ADHD using the SCQ. The split holds even outside pure autism samples.
Why it matters
If you give the ADOS-2, use the bifactor structure from Albert et al. (2024) to guide your report: note a general autism score plus separate social and RRB scores. When you read older files that used Modules 1 or 3, remember the factor picture was fuzzy—look at age and IQ before comparing scores. For toddlers, keep the three BISCUIT factors in mind. Clear factors help you pick targets and show parents where their child stands.
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02At a glance
03Original abstract
The current study tested several competing models of the autism phenotype using data from modules 1 and 3 of the ADOS. Participants included individuals with ASDs aged 3-18 years (N = 1,409) from the AGRE database. Confirmatory factor analyses were performed on total samples and subsamples based on age and level of functioning. Three primary models were tested, including a one-factor model, the DSM-IV model, and the anticipated DSM-V model. Results indicated all models fit similarly. Module 1 ratings yielded better indices of fit across all models and higher inter-factor correlations than Model 3. Model fits were impacted by age and level of functioning. The lack of differentiation between models suggests that the structure of ASD symptoms is complex to measure statistically.
Journal of autism and developmental disorders, 2012 · doi:10.1007/s10803-011-1348-0