Psychometric Assessment of the Eyberg Child Behavior Inventory in Children with Autism in Community Settings.

Researchers studied a questionnaire called the ECBI that measures challenging behaviors in children with autism. They tested it with 201 children (ages 5-13) from diverse backgrounds who were getting mental health services in their community. The questionnaire didn't work as expected based on previous studies, so the researchers had to create a new way of scoring it that worked better for this group of children.

This 2023 study examined the psychometric properties of the Eyberg Child Behavior Inventory (ECBI), a commonly used tool for assessing problematic behaviors in children, specifically within a community-based sample of 201 children with autism spectrum disorder aged 5-13 years. The sample was notably diverse, with 60% identifying as Hispanic/Latinx, and all participants were receiving publicly-funded mental health services. Using confirmatory factor analysis, researchers found that previously identified factor structures showed poor model fit in this population. As a result, they developed a new four-factor solution that better represented the data.

This research contributes to understanding how behavioral assessment tools perform across different demographic groups and service settings within the autism community.

Clinicians using the ECBI with diverse, community-based children with autism should be aware that standard scoring may not be optimal. The new four-factor structure may provide better assessment accuracy, though further validation is needed before clinical implementation.

The study does not provide details about the specific factors identified, comparison to other behavioral measures, or generalizability beyond the specific community setting studied. Long-term validity and clinical utility of the new factor structure require further investigation.

The Eyberg Child Behavior Inventory (ECBI) is a frequently used measure to assess interfering behaviors in children and psychometric properties have recently been examined in children with autism spectrum disorder (ASD). There is a need to confirm the identified factors and examine the factor structure in a racially/ethnically diverse, community-based sample. The current study conducts a psychometric analysis of the ECBI in a sample of children with ASD receiving publicly-funded mental health services. Data were collected from 201 children with ASD ages 5-13 years (60% Hispanic/Latinx) participating in a community effectiveness trial.

Confirmatory factor analysis indicated poor model fit using previously identified factors and a new four-factor solution was identified. Clinical and research implications of these findings are discussed.