The search for subtypes of DCD: is cluster analysis the answer?

Area of Science:

• Developmental Psychology
• Biostatistics
• Clinical Research

Background:

• Identifying distinct subtypes of developmental coordination disorder (DCD) is crucial for targeted interventions.
• Previous studies using cluster analysis to define DCD subtypes have produced conflicting findings.
• Discrepancies in results have led to debate regarding the utility of cluster analysis in DCD research.

Purpose of the Study:

• To investigate the influence of different samples and measures on cluster analysis outcomes for DCD subtypes.
• To critically review existing cluster analytical studies on DCD.
• To understand the reasons behind inconsistent subtype identification in DCD.

Main Methods:

• Systematic review of three prominent cluster analysis studies on DCD.
• Replication of cluster analysis using a different clinical sample.
• Exploration of how varying data measures affect cluster analysis results.

Main Results:

• The choice of measures significantly impacts the resulting cluster structures in DCD.
• Different clinical samples can lead to divergent subtype classifications.
• Inconsistencies in cluster analysis results are attributable to methodological variations.

Conclusions:

• Cluster analysis remains a valuable tool for exploring DCD heterogeneity, but requires careful methodological consideration.
• Standardization of measures and analytical approaches is essential for consistent and interpretable DCD subtype identification.
• Further research should focus on validating subtypes identified through standardized cluster analysis methods.