scholarly journals How Do Children with Autism Spectrum Disorder and Children with Developmental Delays Differ on the Child Behavior Checklist 1.5–5 DSM-Oriented Scales?

Children ◽  
2022 ◽  
Vol 9 (1) ◽  
pp. 111
Author(s):  
Yi-Ling Cheng ◽  
Ching-Lin Chu ◽  
Chin-Chin Wu

The Child Behavior Checklist 1.5–5 (CBCL 1.5–5) is applied to identify emotional and behavioral problems on children with developmental disabilities (e.g., autism spectrum disorder [ASD] and developmental delays [DD]). To understand whether there are variations between these two groups on CBCL DSM-oriented scales, we took two invariance analyses on 443 children (228 children with ASD). The first analysis used measurement invariance and multiple-group factor analysis on the test structure. The second analysis used item-level analysis, i.e., differential item functioning (DIF), to discover whether group memberships responded differently on some items even though underlying trait levels were the same. It was discovered that, on the test structure, the Anxiety Problems scale did not achieve metric invariance. The other scales achieved metric invariance; DIF analyses further revealed that there were items that functioned differently across subscales. These DIF items were mostly about children’s reactions to the surrounding environment. Our findings provide implications for clinicians to use CBCL DSM-oriented scales on differentiating children with ASD and children with DD. In addition, researchers need to be mindful about how items were responded differently, even though there were no mean differences on the surface.

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

Autism ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 223-235 ◽  
Author(s):  
Leslie A Rescorla ◽  
Akhgar Ghassabian ◽  
Masha Y Ivanova ◽  
Vincent WV Jaddoe ◽  
Frank C Verhulst ◽  
...  

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.


SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110407
Author(s):  
Eun-Young Park ◽  
Hyojeong Seo ◽  
Kwang-Sun Cho Blair ◽  
Min-Chae Kang

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.


2021 ◽  
Vol 11 ◽  
Author(s):  
Ying Wang ◽  
Jingjing Lin ◽  
Ying Zeng ◽  
Yanan Liu ◽  
Yamin Li ◽  
...  

Study Objectives: This study aims to identify the characteristic sleep disturbances that affect behavioral problems in children with autism spectrum disorder (ASD), providing a potential direction for sleep and behavioral intervention in ASD.Methods: The data of 513 children with ASD and 246 typically developing (TD) children aged between 2 and 5 years old were collected. The behavior performance of preschool children was assessed using the Child Behavior Checklist for 1.5–5.0 years old. The Children's Sleep Habits Questionnaire (CSHQ) was used to measure the sleep status of the children, and the Social Responsiveness Scale was used to measure the severity of disorder. Linear regression analysis was performed to examine the effects of sleep disturbances on behavioral problems, and independent-sample t-test was performed to compare the mean of the samples.Results: Compared to TD children, children with ASD had longer sleep onset delay and more night awakenings. The parasomnias score (a subscale of the CSHQ) was significantly associated with the internalizing (β = 0.113, P = 0.010), externalizing (β = 0.128, P = 0.006), and total problems (β = 0.143, P = 0.001) of children with ASD, while this association was not significant in TD children. “Bed wetting” and “restless and moves a lot” (two items in the CSHQ under parasomnia) significantly only affected the overall behavioral score in children with ASD (P < 0.05).Conclusion: Parasomnias, especially bed wetting and restlessness, are specifically associated with the behavioral problems of children with ASD rather than TD children.


2021 ◽  
pp. 088307382110005
Author(s):  
Noël E. Mensah-Bonsu ◽  
Sarah S. Mire ◽  
Leila C. Sahni ◽  
Leandra N. Berry ◽  
Lauren R. Dowell ◽  
...  

Parents of children with autism spectrum disorder (ASD) may be at greater risk for developing antivaccine beliefs that lead to vaccine delays and/or refusals for their children. We investigated current parental vaccine hesitancy, parents’ beliefs about causes of children’s developmental delays, and children’s vaccination histories among parents of children with ASD or non-ASD developmental delays. Data were analyzed from 89/511 parents (17.4%) who completed the Parent Attitudes About Childhood Vaccines questionnaire and the Revised Illness Perception Questionnaire; 46.1% had childhood vaccination records available. Overall, 21/89 (23.6%, 95% confidence interval [CI]: 15.0-34.0) of parents were vaccine hesitant (ASD n = 19/21 [90.5%], non-ASD n = 2/21 [9.5%]). Parents of children with ASD were significantly more likely to agree with “toxins in vaccines” as a cause of their child’s developmental delays (28.4% vs 5.0%, P = .034). The odds of being vaccine hesitant were 11.9 times (95% CI 2.9-48.0) greater among parents who agreed versus disagreed that toxins in vaccines caused their children’s developmental delays. Rates of prior vaccine receipt did not differ between hesitant and nonhesitant groups.


Sign in / Sign up

Export Citation Format

Share Document