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Linnea A. Lampinen, Jeannine E. Ederer, Vanessa H. Bal
(2025).
Associations Between the SRS-2 and the ASEBA Adult Self Report: Implications for Interpretation of the SRS-2 in Autistic Adults.
Journal of Autism and Developmental Disorders.
Springer Science and Business Media LLC.
- Publication date
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6 Aug 2025
- Identifier
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10.1007/s10803-025-06988-5
- Authors
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Linnea A. Lampinen,
Jeannine E. Ederer,
Vanessa H. Bal
- Source
- Journal of Autism and Developmental Disorders
- Reference type
- article
- Publisher
- Springer Science and Business Media LLC
- Metadata source
- crossref
Abstract
Abstract Purpose The 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. Methods This 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. Results Findings 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. Conclusion Taken 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.
Study authors in this cited reference