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Autor/inn/en | Martinez, Kassandra; Chlebowski, Colby; Roesch, Scott; Stadnick, Nicole A.; Villodas, Miguel; Brookman-Frazee, Lauren |
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Titel | Psychometric Assessment of the Eyberg Child Behavior Inventory in Children with Autism in Community Settings |
Quelle | In: Journal of Autism and Developmental Disorders, 53 (2023) 4, S.1693-1705 (13 Seiten)
PDF als Volltext |
Zusatzinformation | ORCID (Martinez, Kassandra) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0162-3257 |
DOI | 10.1007/s10803-022-05427-z |
Schlagwörter | Behavior Problems; Child Behavior; Measures (Individuals); Psychometrics; Autism Spectrum Disorders; Factor Structure; Student Diversity; Children; Early Adolescents; Hispanic Americans; Eyberg Child Behavior Inventory |
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. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |