Sevin J A, Matson J L, Coe D, Love S R, Matese M J, Benavidez D A
Louisiana State University, USA.
J Autism Dev Disord. 1995 Dec;25(6):561-78. doi: 10.1007/BF02178188.
A cluster analytic study was conducted to empirically derive behaviorally homogeneous subtypes of pervasive developmental disorders (PDD). Subjects were clustered based on a broad range of behavioral symptoms which characterize autism. Behavioral variables were measured using several of the standardized psychometric instruments most commonly employed in assessing autistic individuals. The cluster solution indicated the presence of four distinct groups. Validity checks generally confirmed significant between-group differences on independent measures of social, language, and stereotyped behaviors. In addition, the four-group cluster solution was compared to previously developed typological systems of PDD (i.e., subcategories based on IQ early onset, styles of social interaction, and DSM-III-R diagnosis). Results generally supported both the behavioral homogeneity of the four subgroups and also several important between-group differences. The potential utility of using cluster analyses to explore subtypes of PDD is discussed.
进行了一项聚类分析研究，以从经验上得出广泛性发育障碍（PDD）在行为上的同质亚型。根据一系列表征自闭症的广泛行为症状对受试者进行聚类。行为变量通过几种评估自闭症个体时最常用的标准化心理测量工具进行测量。聚类分析结果显示存在四个不同的组。效度检验总体上证实了在社交、语言和刻板行为的独立测量上组间存在显著差异。此外，将四组聚类分析结果与先前开发的PDD类型系统（即基于智商、发病年龄、社交互动方式和DSM-III-R诊断的子类别）进行了比较。结果总体上支持了四个亚组在行为上的同质性以及组间的几个重要差异。讨论了使用聚类分析探索PDD亚型的潜在效用。
