Utilizing the Child Behavior Checklist (CBCL) as an Autism Spectrum Disorder Preliminary Screener and Outcome Measure for the PEERS® Intervention for Autistic Adolescents

2021 ◽  
Author(s):  
Alexis A. Arias ◽  
Madison M. Rea ◽  
Elyse J. Adler ◽  
Angela D. Haendel ◽  
Amy Vaughan Van Hecke
Keyword(s):  
Autism Spectrum Disorder ◽  
Child Behavior ◽  
Child Behavior Checklist ◽  
Outcome Measure ◽  
Autism Spectrum ◽  
Spectrum Disorder

scholarly journals Utility of the Child Behavior Checklist as a Screener for Autism Spectrum Disorder

2015 ◽  
Vol 9 (1) ◽  
pp. 33-42 ◽  
Author(s):  
K. Alexandra Havdahl ◽  
Stephen von Tetzchner ◽  
Marisela Huerta ◽  
Catherine Lord ◽  
Somer L. Bishop
Keyword(s):  
Autism Spectrum Disorder ◽  
Child Behavior ◽  
Child Behavior Checklist ◽  
Autism Spectrum ◽  
Spectrum Disorder

Structure, longitudinal invariance, and stability of the Child Behavior Checklist 1½–5’s Diagnostic and Statistical Manual of Mental Disorders–Autism Spectrum Disorder scale: Findings from Generation R (Rotterdam)

Autism ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 223-235 ◽  
Author(s):  
Leslie A Rescorla ◽  
Akhgar Ghassabian ◽  
Masha Y Ivanova ◽  
Vincent WV Jaddoe ◽  
Frank C Verhulst ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Mental Disorders ◽  
Child Behavior ◽  
Child Behavior Checklist ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Base Rates ◽  
Over Time

Although the Child Behavior Checklist 1½–5’s 12-item Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Problems Scale (formerly called Pervasive Developmental Problems scale) has been used in several studies as an autism spectrum disorder screener, the base rate and stability of its items and its measurement model have not been previously studied. We therefore examined the structure, longitudinal invariance, and stability of the Child Behavior Checklist 1½–5’s Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Problems Scale in the diverse Generation R (Rotterdam) sample based on mothers’ ratings at 18 months ( n = 4695), 3 years ( n = 4571), and 5 years ( n = 5752). Five items that seemed especially characteristic of autism spectrum disorder had low base rates at all three ages. The rank order of base rates for the 12 items was highly correlated over time ( Qs ⩾ 0.86), but the longitudinal stability of individual items was modest (phi coefficients = 0.15–0.34). Confirmatory factor analyses indicated that the autism spectrum disorder scale model manifested configural, metric, and scalar longitudinal invariance over the time period from 18 months to 5 years, with large factor loadings. Correlations over time for observed autism spectrum disorder scale scores (0.25–0.50) were generally lower than the correlations across time of the latent factors (0.45–0.68). Results indicated significant associations of the autism spectrum disorder scale with later autism spectrum disorder diagnoses.

scholarly journals Rasch Analysis of the Korean-Child Behavior Checklist (K-CBCL) to Assess Emotional and Behavioral Problems in Children With Autism Spectrum Disorder

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110407
Author(s):  
Eun-Young Park ◽  
Hyojeong Seo ◽  
Kwang-Sun Cho Blair ◽  
Min-Chae Kang
Keyword(s):  
Autism Spectrum Disorder ◽  
Behavior Problems ◽  
Child Behavior ◽  
Rasch Analysis ◽  
Child Behavior Checklist ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Attention Problems ◽  
Spectrum Disorder ◽  
Item Fit

This study examined the validity of the Korean version of the Child Behavior Checklist (K-CBCL) with 180 children with autism spectrum disorder (ASD) in South Korea. Rasch analysis was applied to examine item fit, item difficulty, suitability of the response scale, and person and item separation indices of the K-CBCL. The results indicated that, with the exception of six out of the 119 items, the K-CBCL had a good item fit. Suitability of the rating scale was supported. Both Attention Problems and Aggressive Behavior factors differentiated two strata of behavior problems of children with ASD, whereas six other factors only captured one stratum of behavior problems. The item separation index indicated that the items were distributed well with high reliability. We demonstrated that statistical item analysis with the Rasch model could provide valuable information related to psychometric properties.

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