Comprehensive Psychometric Analysis of the Eyberg Child Behavior Inventory in Children with Autism Spectrum Disorder.
The ECBI keeps its four-factor structure in children with autism, so you can safely use it to track disruptive behavior in this group.
01Research in Context
What this study did
The team looked at the Eyberg Child Behavior Inventory (ECBI) in children with autism.
They used a large set of past records.
They ran a confirmatory factor analysis to see how the items group together.
What they found
The ECBI showed four clear factors in kids with ASD.
This means the tool keeps its shape and is valid for this group.
You can trust the scores when you measure disruptive behavior.
How this fits with other research
Root et al. (2026) did the same kind of math on the RBS-R and also found a clean five-factor fit.
Kildahl et al. (2025) found the Aberrant Behavior Checklist mostly holds up over time, except one subscale.
Together these papers show that parent checklists keep their structure in autism samples, so you can compare scores across visits.
Why it matters
You already use the ECBI for typical kids. Now you know it works just as well for clients with ASD. Use the four subscale scores to pick targets and show parents clear change graphs.
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02At a glance
03Original abstract
Many assessment measures have only been validated for one specific diagnostic population, which is costly and reduces the clinical utility of assessments. The Eyberg Child Behavior Inventory (ECBI) is one popular measure designed to assess disruptive behavior problems in youth. The ECBI has sound psychometric properties in typically developing youth, but the factor structure has never been examined in children with autism spectrum disorder (ASD). Therefore, the current study conducted a comprehensive psychometric analysis of the ECBI in children with ASD. Retrospective data from a nationally representative sample was collected from 335 children with ASD ages 2-12 years old. A four factor solution was identified for this sample. Implications of these findings and directions for future research are discussed.
Journal of autism and developmental disorders, 2017 · doi:10.1007/s10803-017-3048-x