Utility of the Child Behavior Checklist as a Screener for Autism Spectrum Disorder.
The CBCL is too nonspecific to screen for ASD—high false-positive rates mean most kids flagged won’t have autism.
01Research in Context
What this study did
The team looked at the kids aged 1½–18 who were sent to clinics for behavior questions.
They ran the full Child Behavior Checklist on every child. Then they checked who truly had autism using gold-standard tests.
Last, they asked: how often does the CBCL correctly spot autism, and how often does it cry wolf?
What they found
The CBCL got it wrong a lot. Its accuracy scores were only 0.59–0.70, where 1.0 is perfect.
Most kids the CBCL flagged did NOT have autism. False-alarm rates stayed high even when the team moved the cut-off score.
In short, the checklist is too blurry to screen for autism by itself.
How this fits with other research
So et al. (2013) once showed a 10-item CBCL scale caught 95 % of true autism cases. Alexandra’s bigger sample now says the full profile fails. The difference: Pety studied general-population kids, while Alexandra looked at kids already in clinics. In referred groups, overlapping behavior problems drown the autism signal.
Geurts et al. (2008) argued CBCL Withdrawn and PDD subscales beat the GARS screener. Alexandra’s 2016 data push back, showing those same subscales still miss and mis-label plenty of clinic-referred children. The field has moved from hopeful to skeptical.
Eggleston et al. (2018) adds that even parent plus teacher questionnaires miss many autism cases. Together, these papers warn BCBAs: no single rating form, CBCL or other, is enough for a screening decision.
Why it matters
If you rely on the CBCL alone, you will over-refer for autism and waste families’ time and money. Use it only as a broad red-flag tool, then follow with an ADOS, ADI-R, or similar direct assessment. For quicker screens, consider newer tools like the ASKY (Rachelle et al., 2023) or telehealth packages (Meimei et al., 2022) while still planning full evaluations.
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02At a glance
03Original abstract
The Child Behavior Checklist (CBCL) has been proposed for screening of autism spectrum disorders (ASD) in clinical settings. Given the already widespread use of the CBCL, this could have great implications for clinical practice. This study examined the utility of CBCL profiles in differentiating children with ASD from children with other clinical disorders. Participants were 226 children with ASD and 163 children with attention-deficit/hyperactivity disorder, intellectual disability, language disorders, or emotional disorders, aged 2-13 years. Diagnosis was based on comprehensive clinical evaluation including well-validated diagnostic instruments for ASD and cognitive testing. Discriminative validity of CBCL profiles proposed for ASD screening was examined with area under the curve (AUC) scores, sensitivity, and specificity. The CBCL profiles showed low discriminative accuracy for ASD (AUC 0.59-0.70). Meeting cutoffs proposed for ASD was associated with general emotional/behavioral problems (EBP; mood problems/aggressive behavior), both in children with and without ASD. Cutoff adjustment depending on EBP-level was associated with improved discriminative accuracy for school-age children. However, the rate of false positives remained high in children with clinical levels of EBP. The results indicate that use of the CBCL profiles for ASD-specific screening would likely result in a large number of misclassifications. Although taking EBP-level into account was associated with improved discriminative accuracy for ASD, acceptable specificity could only be achieved for school-age children with below clinical levels of EBP. Further research should explore the potential of using the EBP adjustment strategy to improve the screening efficiency of other more ASD-specific instruments.
Autism research : official journal of the International Society for Autism Research, 2016 · doi:10.1002/aur.1515