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Gepubliceerd in: Journal of Autism and Developmental Disorders 4/2023

12-03-2022 | Original Paper

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

Auteurs: Kassandra Martinez, Colby Chlebowski, Scott Roesch, Nicole A. Stadnick, Miguel Villodas, Lauren Brookman-Frazee

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 4/2023

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Abstract

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.
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Metagegevens
Titel
Psychometric Assessment of the Eyberg Child Behavior Inventory in Children with Autism in Community Settings
Auteurs
Kassandra Martinez
Colby Chlebowski
Scott Roesch
Nicole A. Stadnick
Miguel Villodas
Lauren Brookman-Frazee
Publicatiedatum
12-03-2022
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders / Uitgave 4/2023
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-022-05427-z

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