CBCL-10: Ultra-Brief Child Behavior Screening Tool with ADHD Diagnostic Efficiency

1,786 youth from the Future of Families and Child Wellbeing Study (FFCWS) were analyzed across three time points to develop a 10-item behavioral screening tool. The dataset contains measurement properties for the CBCL-10, which was reduced from a 34-item version using exploratory graph analysis and graded response models. Chen Jiang published the data on figshare under a CC-BY-4.0 license, last updated on 2026-04-30.

Use Cases

• Validate the three-factor structure of an ultra-brief behavioral screening tool based on the described psychometric analysis.
• 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 design.
• Benchmark internal consistency and structural validity of short-form psychological instruments.

Strengths

• Dataset is derived from a longitudinal cohort of 1,786 youth with reported demographic composition (49.5% female; 51.4% Black/African American).
• The developed CBCL-10 instrument demonstrated high internal consistency and an area under the curve of 0.843 for ADHD screening.
• Measurement properties were evaluated across three time points, suggesting longitudinal reliability.

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 at 16.3 KB, indicating limited scope, likely containing summary statistics rather than raw response data.

Provenance

Source

Future of Families and Child Wellbeing Study (FFCWS)

Collection Method

Longitudinal data analyzed using a split-sample approach with exploratory graph analysis (EGA) and graded response model (GRM).

Freshness

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