CBCL-10: Ultra-Brief Child Behavior Screening Tool for ADHD

Longitudinal data from the Future of Families and Child Wellbeing Study (FFCWS) across three time points was used to develop a 10-item behavioral screening tool. The dataset, authored by Chen Jiang and last updated in 2026, contains results from a sample of 1,786 youth used to validate the instrument's psychometric properties.

Use Cases

• Validate a brief screening instrument for ADHD based on the described three-factor structure.
• Assess measurement invariance across diverse populations based on the cohort demographics mentioned.
• Evaluate diagnostic efficiency for ADHD using the reported area under the curve (AUC), sensitivity, and specificity.
• Replicate the item reduction process using exploratory graph analysis (EGA) and graded response model (GRM) methodologies.

Strengths

• Psychometric validation is based on a sample of 1,786 youth with reported demographic composition (49.5% female; 51.4% Black/African American).
• The instrument demonstrated high internal consistency and excellent structural validity as reported in the results.
• Diagnostic efficiency for ADHD is quantified with an AUC of 0.843, sensitivity of 0.797, and specificity of 0.736 at a cutoff score of 3.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (34.5 KB), indicating limited scope, likely containing summary results or documentation rather than raw participant data.

Provenance

Source

Future of Families and Child Wellbeing Study (FFCWS)

Collection Method

Longitudinal cohort analysis using a split-sample approach with exploratory graph analysis and graded response modeling.

Time Range

Covers three longitudinal time points (specific dates not provided).

Freshness

Last updated 2026-04-30 05:24:13; freshness should be verified.