Embodied Musical Engagement Impact on Rehabilitation in Children with Special Needs

A sample of 294 children, predominantly male (68.7%) with the largest age subgroup being 7–9 years (33.7%), was recruited for this study. The research, authored by Yanyan Lu and last updated in May 2026, uses Structural Equation Modeling to examine the direct effects of musical engagement on rehabilitation performance and the mediating role of non-cognitive skills. It provides empirical evidence for music-based interventions in contexts like ASD, ADHD, and intellectual disabilities.

Use Cases

• Modeling the relationship between musical engagement and rehabilitation performance based on the reported beta coefficients.
• Investigating the mediating role of non-cognitive skills like attention control and emotion regulation in therapeutic outcomes.
• Designing or validating music-based intervention programs for children with ASD or ADHD based on the study's theoretical insights.

Strengths

• Sample size of 294 children provides a basis for statistical analysis.
• Results include specific effect sizes (β=0.527, β=0.755) and mediation percentages (34.3%) from SEM analysis.
• Clear focus on practical applications for ASD, ADHD, and intellectual disabilities rehabilitation.

Limitations

• The dataset is a 185.9 KB PDF document, which is a research paper, not a structured data file; column-level documentation is absent.
• Row count and raw data are unknown, which limits suitability for direct machine learning applications.
• The data may reflect the specific sample and context of the study, limiting generalizability.

Provenance

Source

Yanyan Lu via figshare.

Collection Method

Likely collected via a structured study involving children with special needs.

Freshness

Last updated 2026-05-25 05:30:58.