Reading Profiles in Mild Intellectual Disability: Severity-Calibrated Classification Rules

Nationwide diagnostic data from 446 students with mild intellectual disability (MID) were analyzed using age-normed sten scores from the SB6/18 battery. The study, authored by Bartosz M. Radtke and last updated in May 2026, combined person-centered profiling with ICD-11–guided classification rules to identify dyslexia-consistent reading profiles within MID.

Use Cases

• Identifying dyslexia-consistent reading profiles based on decoding, fluency, and comprehension scores.
• Evaluating the impact of different severity thresholds on classification prevalence within a mild intellectual disability population.
• Comparing the classification value of phonological and rapid automatized naming (RAN) indicators against word-level reading measures.

Strengths

• Includes data from 446 students, providing a substantial sample for analysis.
• Uses age-normed sten scores from a standardized battery (SB6/18) for key reading and cognitive measures.
• Applies hierarchical clustering with bootstrap stability and compares six rule-based classification groupings.

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 small in scale at 681.4 KB, indicating limited data volume.

Provenance

Source

figshare

Collection Method

Analysis of nationwide diagnostic data using hierarchical clustering and rule-based classification.

Freshness

Last updated 2026-05-29 06:14:54; freshness should be verified.

Geography

Nationwide (specific country not stated).