Exploratory and confirmatory factor analysis of the Autism Diagnostic Interview-Revised.

The factor structure of the Autism Diagnostic Interview-Revised (ADI-R) algorithm items was examined using exploratory (EFA) and confirmatory factor analyses (CFA) factor methods. The ADI-R was completed for 1,170 youths and adults (ages 2-46). Results of EFAs indicated strong support for two-factor...

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Detalles Bibliográficos
Publicado en:Journal of Autism & Developmental Disorders Vol. 38; no. 3; pp. 474 - 481
Autores principales: Frazier TW, Youngstrom EA, Kubu CS, Sinclair L, Rezai A
Formato: research tables/charts Journal Article
Publicado: Springer Nature Mar2008
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:The factor structure of the Autism Diagnostic Interview-Revised (ADI-R) algorithm items was examined using exploratory (EFA) and confirmatory factor analyses (CFA) factor methods. The ADI-R was completed for 1,170 youths and adults (ages 2-46). Results of EFAs indicated strong support for two-factor structure, with social communication and stereotyped behavior factors. CFAs computed in a holdout sub-sample indicated roughly equal support for the above described two-factor model and a three factor model separating peer relationships and play from other social and communicative behaviors. Multi-group CFAs suggested that both two and three factor models showed good stability across age, with only slight changes in factor relationships. These findings indicate that the current ADI-R structure be revised to more accurately reflect the relationships between sub-scales.