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

Area of Science:

• Child and Adolescent Psychiatry
• Developmental Psychology
• Psychometrics

Background:

• Autism Spectrum Disorder (ASD) screening in school-aged children is crucial for early intervention.
• The Child Behavior Checklist (CBCL) is a widely used behavioral assessment tool.
• Existing CBCL subscales for ASD may require further refinement for optimal screening.

Purpose of the Study:

• To construct and validate a new CBCL subscale with age and gender-specific cut-offs for Autism Spectrum Disorder (ASD) screening.
• To compare the performance of the newly developed subscale against existing CBCL ASD profiles and DSM-oriented subscales.
• To cross-validate the subscale's efficacy in independent samples.

Main Methods:

• Utilized both data-driven (N=1666) and clinician-expert (N=15) approaches to construct the CBCL ASD subscale.
• Compared the novel subscale with established CBCL ASD profiles and DSM-oriented subscales.
• Performed cross-validation in two independent samples (N=2445 and N=886).

Main Results:

• The data-driven subscale demonstrated the best potential for screening Autism Spectrum Disorder (ASD) among the evaluated methods.
• The new subscale exhibited a screening potential comparable to DSM-oriented subscales.
• All evaluated subscales showed relatively low discriminative power in the cross-validation samples.

Conclusions:

• The developed data-driven CBCL ASD subscale shows potential for improving ASD screening in pediatric and clinical settings.
• Further validation studies are encouraged to refine and confirm the utility of this CBCL ASD subscale.
• The findings suggest a promising tool for enhancing early identification of ASD in children.