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

被引：0

作者：

Kassandra Martinez

Colby Chlebowski

Scott Roesch

Nicole A. Stadnick

Miguel Villodas

Lauren Brookman-Frazee

机构：

[1] San Diego State University/University of California,Department of Psychiatry

[2] San Diego Joint Doctoral Program in Clinical Psychology,Department of Psychology

[3] University of California,undefined

[4] San Diego,undefined

[5] San Diego State University,undefined

[6] Child and Adolescent Services Research Center,undefined

[7] University of California San Diego Altman Clinical and Translational Research Institute Dissemination and Implementation Science Center,undefined

[8] Rady Children’s Hospital,undefined

来源：

Journal of Autism and Developmental Disorders | 2023年 / 53卷

关键词：

Eyberg Child Behavior Inventory; Autism spectrum disorder; Community mental health services; Interfering behaviors; Assessment;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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.

引用

页码：1693 / 1705

页数：12

共 136 条

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