[article] 
inJournal of Autism and Developmental Disorders > 53-4 (April 2023) . - p.1693-1705

Titre :	Psychometric Assessment of the Eyberg Child Behavior Inventory in Children with Autism in Community Settings
Type de document :	Texte imprimé et/ou numérique
Auteurs :	Kassandra MARTINEZ, Auteur ; Colby CHLEBOWSKI, Auteur ; Scott ROESCH, Auteur ; Nicole A. STADNICK, Auteur ; Miguel VILLODAS, Auteur ; Lauren BROOKMAN-FRAZEE, Auteur
Article en page(s) :	p.1693-1705
Langues :	Anglais (eng)
Index. décimale :	PER Périodiques
Résumé :	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.
En ligne :	https://doi.org/10.1007/s10803-022-05427-z
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=500

[article] Psychometric Assessment of the Eyberg Child Behavior Inventory in Children with Autism in Community Settings [Texte imprimé et/ou numérique] / Kassandra MARTINEZ, Auteur ; Colby CHLEBOWSKI, Auteur ; Scott ROESCH, Auteur ; Nicole A. STADNICK, Auteur ; Miguel VILLODAS, Auteur ; Lauren BROOKMAN-FRAZEE, Auteur . - p.1693-1705.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 53-4 (April 2023) . - p.1693-1705

Index. décimale :	PER Périodiques
Résumé :	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.
En ligne :	https://doi.org/10.1007/s10803-022-05427-z
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=500