Exploratory and confirmatory factor analysis of the autism diagnostic interview-revised
Related Experiment Video
Updated: Jul 13, 2026

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers
Published on: March 14, 2018
Thomas W Frazier1, Eric A Youngstrom, Cynthia S Kubu
1Section of Behavioral Medicine, Children's Hospital for Rehabilitation, The Cleveland Clinic, Shaker Campus CR11, Cleveland, OH 44104, USA. fraziet2@ccf.org
Abstract:
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.
Related Concept Videos
Autism Spectrum Disorder
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
Factorial Design
Modeling in Therapy
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...
Self-Report Tests of Personality
Diagnostic and Statistical Manual of Mental Disorders (DSM)
Cattell's 16 Personality Factors
In contrast, source traits are the fundamental,...
