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Empirically derived subtypes of pervasive developmental disorders: a cluster analytic study

J A Sevin¹, J L Matson, D Coe

¹Louisiana State University, USA.

Journal of Autism and Developmental Disorders

|December 1, 1995

Summary

This study identified four distinct behavioral subtypes of pervasive developmental disorders (PDD) using cluster analysis. These findings offer a more nuanced understanding of autism spectrum disorder subtypes.

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Area of Science:

Psychiatry
Developmental Psychology
Behavioral Science

Background:

Pervasive Developmental Disorders (PDD) encompass a range of neurodevelopmental conditions.
Current typologies of PDD may not fully capture behavioral heterogeneity.
Empirical derivation of subtypes is needed for better understanding and intervention.

Purpose of the Study:

To empirically derive behaviorally homogeneous subtypes of PDD using cluster analysis.
To validate these subtypes against independent behavioral measures.
To compare the derived subtypes with existing PDD typologies.

Main Methods:

Cluster analysis was performed on behavioral variables from standardized psychometric instruments.
Subjects were assessed for a broad range of symptoms characteristic of autism.

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Validity checks involved comparing cluster groups on social, language, and stereotyped behaviors.

Main Results:

The cluster analysis identified four distinct, behaviorally homogeneous subgroups within PDD.
Significant differences were confirmed between these four groups on independent measures.
The four-group solution showed consistency with some established PDD typological systems.

Conclusions:

Cluster analysis is a valuable tool for exploring and defining PDD subtypes.
The identified subtypes offer a more refined behavioral classification of PDD.
These findings may inform future diagnostic and therapeutic approaches for PDD.