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. 2012 Jan;6(1):96-108.
doi: 10.1016/j.rasd.2011.03.009.

An Initial Psychometric Evaluation of the CBCL 6-18 in a Sample of Youth with Autism Spectrum Disorders

Vincent Pandolfi  1 , Caroline I Magyar, Charles A Dill
Affiliations

An Initial Psychometric Evaluation of the CBCL 6-18 in a Sample of Youth with Autism Spectrum Disorders

Vincent Pandolfi et al. Res Autism Spectr Disord. 2012 Jan.

Abstract

Individuals with an autism spectrum disorder (ASD) often present with co-occurring emotional and behavioral disorders (EBD). The Child Behavior Checklist 6-18 (CBCL; Achenbach & Rescorla, 2001) is an EBD measure that contains several norm-referenced scales derived through factor analysis of data from the general pediatric population. The psychometric properties of this widely used and well-researched measure have not been evaluated in samples of youth with ASD. This study evaluated the CBCL's internal structure, scale reliability, criterion-related validity, and diagnostic accuracy using archival data from a well-characterized sample of youth with ASD (N = 122). Confirmatory factor analyses supported the unidimensionality of the CBCL's syndrome scales and its Internalizing-Externalizing factor structure. Significance tests indicated that many scales discriminated between two subgroups: a group of individuals with ASD+EBD and a group with ASD alone. Diagnostic accuracy analyses indicated that the CBCL had good sensitivity but low specificity for detecting co-occurring disorders. Results supported the use of the CBCL in conjunction with other clinical data when assessing for EBD in youth with ASD.

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Figures

Figure 1
Figure 1. CFA Results for the two factor model
AD=Anxious/Depressed, WD=Withdrawn/Depressed, SC=Somatic Complaints, RB=Rule-Breaking Behavior, AB=Aggressive Behavior, Internal=Internalizing Domain, External=Externalizing Domain. Standardized factor loadings are embedded in the path connecting a latent factor with its indicators. Disturbance values (error variances) are presented immediately to the left of each indicator. Factor correlation is presented between the latent factors.
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