| Literature DB >> 35165798 |
Julia E Offermans1,2, Esther I de Bruin3,4, Aurelie M C Lange5, Christel M Middeldorp6,7, Laura W Wesseldijk8,9, Dorret I Boomsma10, Gwen C Dieleman11, Susan M Bögels12, Francisca J A van Steensel4.
Abstract
The first aim of this study was to construct/validate a subscale-with cut-offs considering gender/age differences-for the school-age Child Behavior CheckList (CBCL) to screen for Autism Spectrum Disorder (ASD) applying both data-driven (N = 1666) and clinician-expert (N = 15) approaches. Further, we compared these to previously established CBCL ASD profiles/subscales and DSM-oriented subscales. The second aim was to cross-validate results in two truly independent samples (N = 2445 and 886). Despite relatively low discriminative power of all subscales in the cross-validation samples, results indicated that the data-driven subscale had the best potential to screen for ASD and a similar screening potential as the DSM-oriented subscales. Given beneficial implications for pediatric/clinical practice, we encourage colleagues to continue the validation of this CBCL ASD subscale.Entities:
Keywords: Achenbach System of empirically based Assessment (ASEBA); Autism spectrum disorder (ASD); Child Behavior CheckList (CBCL); Children and adolescents; Screening
Year: 2022 PMID： 35165798 DOI： 10.1007/s10803-022-05465-7
Source DB: PubMed Journal: J Autism Dev Disord ISSN： 0162-3257