The Development and Validation of a Subscale for the School-Age Child Behavior CheckList to Screen for Autism Spectrum Disorder

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...

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Detalles Bibliográficos
Autores principales: Offermans, Julia E., de Bruin, Esther I., Lange, Aurelie M. C., Middeldorp, Christel M., Wesseldijk, Laura W., Boomsma, Dorret I., Dieleman, Gwen C., Bögels, Susan M., van Steensel, Francisca J. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986212/
https://www.ncbi.nlm.nih.gov/pubmed/35165798
http://dx.doi.org/10.1007/s10803-022-05465-7
Descripción
Sumario: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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10803-022-05465-7.

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