CBCL-10: Child Behavior Checklist 10-Item Screening Tool for ADHD

A 10-item behavioral screening instrument derived from the 34-item Child Behavior Checklist, developed using longitudinal data from 1,786 youth. The dataset, authored by Chen Jiang and shared on figshare, was last updated on April 30, 2026. It includes psychometric evaluation results, such as a three-factor structure and diagnostic efficiency for ADHD.

Use Cases

• Validate the three-factor structure of the CBCL-10 based on the exploratory graph analysis and graded response model mentioned in the description.
• Assess diagnostic efficiency for ADHD screening based on the reported area under the curve (AUC), sensitivity, and specificity.
• Evaluate measurement invariance across diverse populations as suggested by the study's longitudinal cohort analysis.
• Compare the ultra-brief 10-item tool's performance against the original 34-item Child Behavior Checklist.

Strengths

• Psychometric properties are explicitly quantified, including an area under the curve (AUC) of 0.843 for ADHD screening.
• Development used a substantial sample of 1,786 youth with reported demographic composition (49.5% female; 51.4% Black/African American).
• The instrument was systematically reduced from 34 items to 10 using a split-sample approach and established statistical methods.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The dataset is small (4.7 MB), potentially limiting the scope of contained data.

Provenance

Source

Future of Families and Child Wellbeing Study (FFCWS) longitudinal cohort.

Collection Method

Data analysis across three time points using exploratory graph analysis (EGA) and graded response model (GRM).

Freshness

Last updated 2026-04-30 05:24:11; freshness should be verified.