Narrative Skills Assessment Scores for French-Speaking Children with DLD

A pilot study of 21 French-speaking children with Developmental Language Disorder (DLD), with a mean age of 9;5. The data, published by Olivia Hadjadj on figshare, includes pre-test, post-test, and delayed post-test scores from a dynamic assessment of narrative macrostructure and microstructure, collected over a 12-week period.

Use Cases

• Predict future narrative skills based on dynamic assessment macrostructure scores.
• Analyze the relationship between pre-test microstructure scores and later language performance.
• Compare the predictive power of dynamic assessment versus static assessment for narrative skills.
• Study the longitudinal development of macro- and microstructure in children with DLD.

Strengths

• Includes longitudinal data with a 12-week delayed post-test.
• Focuses on a specific clinical population (21 French-speaking children with DLD).
• Applies a structured pre-test/teaching/post-test dynamic assessment procedure.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (471.6 KB), indicating a limited scope from a pilot study.

Provenance

Source

figshare

Collection Method

Data collected via a dynamic assessment procedure with story generation and retelling tasks.

Freshness

Last updated 2026-05-15 08:20:45; freshness should be verified.

Geography

Likely French-speaking region(s); specific geography unknown.