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, created by Chen Jiang and last updated in April 2026, contains results from a sample of 1,786 youth used to evaluate the psychometric properties of the CBCL-10.

Use Cases

• Validate the three-factor structure of an ultra-brief behavioral screening instrument based on the described psychometric analysis.
• Assess diagnostic efficiency for ADHD based on the reported area under the curve (AUC), sensitivity, and specificity metrics.
• Evaluate measurement invariance across diverse populations as suggested by the study's methodology.
• Benchmark internal consistency of a reduced-item assessment tool against the reported high reliability.

Strengths

• Psychometric properties are explicitly quantified, including an AUC of 0.843 for ADHD diagnosis.
• Derived from a substantial sample of 1,786 youth with reported demographic composition (49.5% female; 51.4% Black/African American).
• Methodology is detailed, involving a split-sample approach with exploratory graph analysis and graded response modeling.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• The primary file format is DOCX (94.6 KB), which is a document rather than a structured data file, suggesting the dataset itself may be embedded within a research paper.

Provenance

Source

Future of Families and Child Wellbeing Study (FFCWS)

Collection Method

Longitudinal cohort data analysis using exploratory graph analysis and graded response modeling for item reduction.

Time Range

Data analyzed across three time points (specific dates not provided).

Freshness

Last updated 2026-04-30 05:24:12; freshness should be verified.