Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
1,363
result(s) for
"Child Behavior Checklist"
Sort by:
The Development and Validation of a Subscale for the School-Age Child Behavior CheckList to Screen for Autism Spectrum Disorder
The first aim of this study was to construct/validate a subscale—with cut-offs considering gender/age differences—for the school-age Child Behavior CheckList (CBCL) to screen for Autism Spectrum Disorder (ASD) applying both data-driven (N = 1666) and clinician-expert (N = 15) approaches. Further, we compared these to previously established CBCL ASD profiles/subscales and DSM-oriented subscales. The second aim was to cross-validate results in two truly independent samples (N = 2445 and 886). Despite relatively low discriminative power of all subscales in the cross-validation samples, results indicated that the data-driven subscale had the best potential to screen for ASD and a similar screening potential as the DSM-oriented subscales. Given beneficial implications for pediatric/clinical practice, we encourage colleagues to continue the validation of this CBCL ASD subscale.
Journal Article
The ability of CBCL DSM-oriented scales to predict DSM-IV diagnoses in a referred sample of children and adolescents
The majority of studies examining associations between clinical–diagnostic and empirical-quantitative approaches have concentrated only on the target diagnosis without taking into account any possible co-variation of psychopathological traits, which is intrinsic to child psychopathology. The ability of child behaviour checklist (CBCL) DSM-oriented scales (DOSs) to predict target and other DSM diagnoses, taking into consideration the covariation of psychopathological traits, was analysed by logistic regression analysis. Corresponding odds ratio (OR) was used as indicator of the strength of the relationship between the clinical score in DOSs and the presence of DSM-IV diagnoses. Logistic regression allowed us to consider multiple scales simultaneously, thus addressing the problem of co-occurrence of psychopathological traits, and to include gender and age as covariates. The sample consisted of 360 children and adolescents aged 6–16 years, consecutively referred for behavioural and emotional problems. As a whole, the CBCL DOSs seem to be more specific but with a weaker association with DSM-IV diagnoses than syndrome scales, and with some distinctive features: clinical scores in the anxiety DOS suggest a diagnosis of both anxiety and mood disorder; clinical scores in the somatic problems DOS are very strong and specific predictors for diagnosis of separation anxiety disorder; clinical scores in the oppositional defiant problems DOS are not only predictors of the oppositional defiant disorder but are also strong predictors of generalized anxiety disorder; clinical scores in the conduct problems DOS are a specific and strong predictor for oppositional defiant disorder. Results confirm the clinical usefulness of CBCL and suggest using both syndrome and DOS scales for a complete and accurate assessment of children and adolescents.
Journal Article
ASD Screening with the Child Behavior Checklist/1.5-5 in the Study to Explore Early Development
We analyzed CBCL/1½-5 Pervasive Developmental Problems (DSM-PDP) scores in 3- to 5-year-olds from the Study to Explore Early Development (SEED), a multi-site case control study, with the objective to discriminate children with ASD (N = 656) from children with Developmental Delay (DD) (N = 646), children with Developmental Delay (DD) plus ASD features (DD-AF) (N = 284), and population controls (POP) (N = 827). ASD diagnosis was confirmed with the ADOS and ADI-R. With a cut-point of T ≥ 65, sensitivity was 80% for ASD, with specificity varying across groups: POP (0.93), DD-noAF (0.85), and DD-AF (0.50). One-way ANOVA yielded a large group effect (η
2
= 0.50). Our results support the CBCL/1½-5’s as a time-efficient ASD screener for identifying preschoolers needing further evaluation.
Journal Article
Identifying the Types of Trajectories for Each of the Five Child Behavior Checklist Sub-Concepts
This study aimed to investigate whether the trajectories of change for the sub-concepts of the Child Behavior Checklist — specifically depression and anxiety, attention, withdrawal, delinquency, and aggression — manifest as a single type or as various latent types. The necessity of this study stems from the limitations of current Child Behavior Checklist categorizations, which often fail to capture the nuanced trajectories of child behavior and emotional problems. Also, identifying diverse latent trajectories is crucial for understanding the complex patterns of behavioral and emotional development in children. By providing a more detailed categorization, this research can contribute to a better understanding of child and adolescent development, ultimately informing more targeted interventions and support strategies. Utilizing latent class growth analysis, we analyzed a sample of 747 participants from the Korea Welfare Panel Study’s supplementary survey of children. The major findings are as follows: depression and anxiety trajectories were distinguished into four categories; attention’s trajectories were distinguished into two categories; withdrawal’s trajectories were classified into two categories; delinquency’s trajectories were differentiated into two categories; and aggression’s trajectories were divided into three categories. These findings highlight the diverse patterns of behavioral and emotional development in children and underscore the importance of tailored approaches in supporting their psychosocial, emotional, and behavioral well-being.
Journal Article
Confirmatory Factor Analysis of the Child Behavior Checklist 1.5–5 in a Sample of Children with Autism Spectrum Disorders
Validity studies of measures for emotional and behavioral disorders (EBD) for use with preschool children with autism spectrum disorders (ASD) are lacking. The Child Behavior Checklist 1.5–5 (CBCL; Achenbach and Rescorla, Manual for the ASEBA Preschool Forms & Profiles. VT: University of Vermont, Research Center for Children, Youth, and Families, Burlington,
2000
), a widely used measure for EBD, contains several norm-referenced scales derived through factor analysis of data from the general pediatric population. In this study, confirmatory factor analysis of archival data evaluated the adequacy of the CBCL factor model in a well characterized sample of preschoolers with ASD (
N
= 128). Psychometric results supported the model and suggested that practitioners can use the CBCL to assess for EBD in young children with ASD in conjunction with other clinical data. This will increase the likelihood of accurate identification and EBD-specific intervention.
Journal Article
Screening for ASD with the Korean CBCL/1½–5
To test the Child Behavior Checklist’s (CBCL/1½–5) ability to screen for autism spectrum disorders (ASD), we studied Korean preschoolers: 46 with ASD, 111 with developmental delay (DD), 71 with other psychiatric disorders (OPD), and 228 non-referred (NR). The ASD group scored significantly higher than the other groups on the Withdrawn and
DSM
-Pervasive Developmental Problems (
DSM
-PDP) scales as well as attaining higher scores (
p
< .001) on seven items reflecting ASD. With a
T
≥ 65 cutpoint on the
DSM
-PDP scale, sensitivity was 80 % for identifying ASD relative to the other three groups, but specificity varied across groups: NR = 87 %, OPD = 55 %, DD = 60 %, replicating in a non-Western sample results from previous studies. Results suggested that the CBCL/1½–5 performs best in Level 1 screening, namely differentiating children with ASD from children in the general population.
Journal Article
High Correspondence Between Child Behavior Checklist Rule Breaking Behavior Scale with Conduct Disorder in Males and Females
This study investigated the diagnostic utility of the Child Behavior Checklist (CBCL) Rule-Breaking Behavior scale to identify children of both sexes with conduct disorder (CD). Participants were derived from four independent datasets of children with and without attention deficit hyperactivity disorder and bipolar-I disorder of both sexes. Participants had structured diagnostic interviews with raters blinded to subject ascertainment status. Receiver operating characteristic (ROC) curves were used to examine the scale’s ability to identify children with and without CD. The sample consisted of 674 participants (mean age of 11.7 ± 3.3 years, 57% male, 94% Caucasian). The interaction to test if CBCL Rule-Breaking Behavior scores identified males and females with CD differently was not significant, thus we performed ROC analysis in the combined group. The ROC analysis of the scale yielded an area under the curve of 0.9. A score of ≥ 60 on the scale correctly classified 82% of participants with CD with 85% sensitivity, 81% specificity, 48% positive predictive value, 96% negative predictive value. The CBCL Rule-Breaking Behavior scale was an efficient tool to identify children with CD.
Journal Article
The child behavior checklist dysregulation profile predicts adolescent DSM-5 pathological personality traits 4 years later
Emotional dysregulation in childhood has been associated with various forms of later psychopathology, although no studies have investigated the personality related adolescent outcomes associated with early emotional dysregulation. The present study uses a typological approach to examine how the child behavior checklist-dysregulation profile (CBCL-DP) predicts DSM-5 pathological personality traits (as measured with the personality inventory for the diagnostic and statistical manual of mental disorders 5 or PID-5 by Krueger et al. (Psychol Med
2012
)) across a time span of 4 years in a sample of 243 children aged 8–14 years (57.2 % girls). The results showed that children assigned to the CBCL-DP class are at risk for elevated scores on a wide range of DSM-5 personality pathology features, including higher scores on hostility, risk taking, deceitfulness, callousness, grandiosity, irresponsibility, impulsivity and manipulativeness. These results are discussed in the context of identifying early manifestations of persistent regulation problems, because of their enduring impact on a child’s personality development.
Journal Article
A virtual reality application for assessment for attention deficit hyperactivity disorder in school-aged children
The development of objective assessment tools for attention deficit hyperactivity disorder (ADHD) has become a hot research topic in recent years. This study was conducted to explore the feasibility and availability of virtual reality (VR) for evaluating symptoms of ADHD.
School-aged children were recruited. The children with ADHD or without ADHD were assigned into the ADHD group or Control group, respectively. They were all evaluated using the Conners' Parent Rating Scale (CPRS), Child Behavior Checklist (CBCL), Integrated Visual and Auditory Continuous Performance Test (IVA-CPT), and a VR test.
The correct items, incorrect items, and the accuracy rate of the VR test of the children with ADHD were significantly different with those of the children in the Control group. The correct items, incorrect items, total time, and accuracy of the VR test were significantly correlated with the scores of IVA-CPT (auditory attention and visual attention), CPRS (impulsion/hyperactivity and ADHD index), and CBCL (attention problems and social problems), respectively.
The results supported the discriminant validity of the VR test for evaluating ADHD in school-age children suffering from learning problems. The VR test results are associated with the commonly used clinical measurements results. A VR test is interesting for children and therefore it attracts them to complete the test; whilst at the same time, it can also effectively evaluate ADHD symptoms.
Journal Article