ArticleJournal of autism and developmental disorders2025
Associations Between the SRS-2 and the ASEBA Adult Self Report: Implications for Interpretation of the SRS-2 in Autistic Adults.
Article in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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Who cites it
1 citing paper in PubMed.
- Examining the independent and combined effects of autistic and ADHD traits on multisensory integration.Frontiers in human neuroscience · 2026Article
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Authors and funding
3 authors.
Funding
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Abstract
purposeThe Social Responsiveness Scale, 2nd Edition (SRS-2) is widely used to characterize autistic features and screen for autism in clinical and research settings. Previous research indicates that scores on the parent-report SRS-2 School-age form are associated with internalizing and externalizing symptoms in both autistic and non-autistic children, yet less is known about the self-report SRS-2-Adult (SRS-2-A). Considering the widespread use of the SRS-2-A for a variety of different research and clinical purposes, examining how non-autism-specific factors affect SRS-2-A scores is warranted.
methodsThis study aimed to examine the relationship between scores on the SRS-2-A and the ASEBA Adult Self Report in a sample of 203 autistic independent adults.
resultsFindings indicate that the SRS-2-A was significantly associated with scales designed to screen for internalizing, externalizing, and personality disorders. The Avoidant Personality scale has direct overlap with SRS-2 items, which may partially explain associations with this scale. The Depressive and Anxiety scales are somewhat less easily explained.
conclusionTaken together, results suggest that SRS-2-A scores may reflect a combination of diagnostic and autism-related features, as well as symptoms associated with non-autism co-occurring conditions. Caution is warranted when using SRS-2-A scores to characterize autistic adults. Information from multiple sources is needed to help distinguish autistic features from those related to commonly co-occurring conditions, such as depression and anxiety, and ultimately inform understanding of how these features interact with other individual and contextual factors to improve measurement of autism diagnostic features.
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