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Investigating the factor structure of the child behavior checklist dysregulation profile in children and adolescents with autism spectrum disorder
Author(s) -
Keefer Amy,
Singh Vini,
Kalb Luther G.,
Mazefsky Carla A.,
Vasa Roma A.
Publication year - 2020
Publication title -
autism research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.656
H-Index - 66
eISSN - 1939-3806
pISSN - 1939-3792
DOI - 10.1002/aur.2233
Subject(s) - emotional dysregulation , psychology , autism , autism spectrum disorder , cbcl , child behavior checklist , neurotypical , clinical psychology , population , anxiety , confirmatory factor analysis , psychiatry , structural equation modeling , medicine , statistics , mathematics , environmental health
Dysregulation has been identified as an important risk factor for the development of psychiatric disorders in individuals with autism spectrum disorder (ASD). Therefore, it is necessary to empirically characterize dysregulation and identify psychometrically sound and readily available assessment methods in the ASD population. We sought to evaluate the factor structure of the Child Behavior Checklist‐Dysregulation Profile (CBCL‐DP), an established dysregulation measure in neurotypical children that is derived from the CBCL, in a large, clinically referred sample of children, ages 6–18 years, with ASD ( n = 727). Confirmatory factor analysis was used to characterize dysregulation and assess the validity of the CBCL‐DP in children with ASD. Our findings support a bi‐factor model of dysregulation in which dysregulation is a broad and distinct syndrome that is associated with the three subdomains of the CBCL‐DP, anxiety/depression (AD), attention problems (AP), and aggressive behavior (AGG). Dysregulation was associated with most items in the AD and AGG domains and few items in the AP domain. This association with AD and AGG indicates that dysregulation in ASD may be conceptualized as the combined experience of internalized, negative mood states and externalized, reactive behaviors. These findings provide support as well as important caveats for the use of the CBCL‐DP as a measure of dysregulation in the ASD population. Autism Res 2020, 13: 436–443 . © 2019 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary Dysregulation is a risk factor for psychiatric disorders in ASD. This study examined if the CBCL‐DP, an established measure of dysregulation in neurotypical children, can be used to assess dysregulation in children with ASD. Findings provide evidence that in ASD, dysregulation is a broad construct that exists alongside anxiety/depression, attention problems, and aggression. These findings indicate that the CBCL‐DP can be considered a valid measure of dysregulation in the ASD population and could be used in clinical settings.