14-Item Language and Dyslexia Screening Questionnaire for Children

A 14-item caregiver-completed screening tool designed to assess children for dyslexia and developmental language disorder (DLD). The dataset includes results from 149 children and their caregivers, with predictive models achieving an AUC of 0.84. The tool was developed by M. Adelaida Restrepo and published on figshare in May 2026.

Use Cases

• Training a classification model to predict typical development vs. dyslexia/DLD based on caregiver questionnaire responses.
• Evaluating the sensitivity and specificity of screening items for bilingual and monolingual populations.
• Feature selection analysis to identify the most predictive questions for developmental language disorder risk.

Strengths

• Model performance metrics are provided, including an AUC of 0.84 and sensitivity of 0.80.
• The dataset includes a sample of 149 children and their caregivers.
• Validation was performed separately for monolingual and bilingual samples, with AUCs reported above 0.80.

Limitations

• The dataset is very small, with a file size of only 11.7 KB.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Participants were recruited from community centers, schools, and pediatric offices; caregivers completed a screening measure, and children completed a gold-standard assessment battery.

Freshness

Last updated 2026-05-13 05:35:40; freshness should be verified.