Reading Profiles in Mild Intellectual Disability: Cluster Analysis of 446 Students

Nationwide diagnostic data from 446 students with mild intellectual disability (MID) were analyzed using age-normed sten scores from the SB6/18 battery. The dataset, authored by Bartosz M. Radtke and last updated in May 2026, contains results from hierarchical clustering and rule-based classification to identify dyslexia-consistent reading profiles.

Use Cases

• Identifying severity gradients in reading ability based on decoding, fluency, and comprehension scores.
• Evaluating classification rules for dyslexia within a mild intellectual disability population.
• Analyzing the incremental value of phonological and rapid automatized naming (RAN) indicators for subgroup identification.

Strengths

• Contains data from a nationwide sample of 446 students with mild intellectual disability.
• Analysis is based on age-normed sten scores from a standardized battery (SB6/18) covering multiple reading domains.
• Includes results from hierarchical clustering with bootstrap stability and 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 (674.0 KB), indicating limited scope.

Provenance

Source

figshare, author Bartosz M. Radtke.

Collection Method

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

Freshness

Last updated 2026-05-29 06:14:53; freshness should be verified.

Geography

Nationwide (specific country not stated).