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自闭症学龄前儿童的聚类分析识别

Cluster analytic identification of autistic preschoolers.

作者信息

Rescorla L

机构信息

Department of Human Development, Bryn Mawr College, Pennsylvania 19010.

出版信息

J Autism Dev Disord. 1988 Dec;18(4):475-92. doi: 10.1007/BF02211868.

Abstract

Cluster analysis was performed on factor analytic symptom profiles obtained from the Achenbach CBCL for a clinical sample of 204 3- to 5-year-old boys containing 79 autistic and autistic-like children. Patterns of results across 2-, 3-, 4-, 5-, and 6-cluster solutions are presented. Clustering identified an autistic group as soon as three clusters were formed. As more clusters were obtained, this autistic cluster was subdivided according to presence/absence of anxiety and level of functioning. Other clusters included an emotional/behavioral disorder group, with some differentiation into Externalizing and Internalizing clusters, and a group of relatively normal children with few symptoms.

摘要

对从阿chenbach儿童行为检查表(Achenbach CBCL)获得的因素分析症状概况进行聚类分析,该样本为204名3至5岁男孩的临床样本,其中包括79名自闭症和类自闭症儿童。呈现了2、3、4、5和6聚类解决方案的结果模式。一旦形成三个聚类,聚类就识别出一个自闭症组。随着获得的聚类增多,这个自闭症聚类根据焦虑的有无和功能水平进行了细分。其他聚类包括一个情绪/行为障碍组,进一步细分为外化和内化聚类,以及一组症状较少的相对正常儿童。

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