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

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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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Acknowledgments

We would like to acknowledge the US National Institute of Mental Health. This project was supported in part by R01MH094317; PI: Brookman-Frazee. Additionally, the first author is primarily supported through 3R01MH111950-03S, a predoctoral diversity training supplement.

Funding

Funding was provided by National Institute of Mental Health (Grant Number 3R01MH111950).

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Authors and Affiliations

  1. San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA

    Kassandra Martinez, Nicole A. Stadnick & Miguel Villodas

  2. Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA

    Colby Chlebowski, Nicole A. Stadnick & Lauren Brookman-Frazee

  3. Department of Psychology, San Diego State University, San Diego, CA, USA

    Colby Chlebowski, Scott Roesch & Miguel Villodas

  4. Child and Adolescent Services Research Center, San Diego, CA, USA

    Nicole A. Stadnick, Miguel Villodas & Lauren Brookman-Frazee

  5. University of California San Diego Altman Clinical and Translational Research Institute Dissemination and Implementation Science Center, La Jolla, CA, USA

    Nicole A. Stadnick & Lauren Brookman-Frazee

  6. Rady Children’s Hospital, San Diego, CA, USA

    Lauren Brookman-Frazee

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  1. Kassandra Martinez
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  2. Colby Chlebowski
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  3. Scott Roesch
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  4. Nicole A. Stadnick
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  5. Miguel Villodas
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  6. Lauren Brookman-Frazee
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Contributions

The authors confirm contribution to the paper as follows: study conception and design: KM, CC, SR, LBF; data collection: CC, LBF; analysis and interpretation of results: KM, CC, NS, SR, MV, LBF; draft manuscript preparation: KM, CC. All authors reviewed the results and approved the final version of the manuscript.

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Correspondence to Kassandra Martinez.

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Martinez, K., Chlebowski, C., Roesch, S. et al. Psychometric Assessment of the Eyberg Child Behavior Inventory in Children with Autism in Community Settings. J Autism Dev Disord 53, 1693–1705 (2023). https://doi.org/10.1007/s10803-022-05427-z

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