[article]
| Titre : |
Psychometric Assessment of the Eyberg Child Behavior Inventory in Children with Autism in Community Settings |
| Type de document : |
texte imprimé |
| 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 |
in Journal of Autism and Developmental Disorders > 53-4 (April 2023) . - p.1693-1705
[article] Psychometric Assessment of the Eyberg Child Behavior Inventory in Children with Autism in Community Settings [texte imprimé] / 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 |
|  |
Psychometric Assessment of the Eyberg Child Behavior Inventory in Children with Autism in Community Settings in Journal of Autism and Developmental Disorders, 53-4 (April 2023)
