Kamphaus R W, Huberty C J, DiStefano C, Petoskey M D
Department of Educational Psychology, The University of Georgia, Athens 30602-7143, USA.
J Abnorm Child Psychol. 1997 Dec;25(6):453-63. doi: 10.1023/a:1022681630818.
The purpose of the current study was to build on the emerging effort to produce a meaningful typology of classroom behavior for elementary school age children. The Behavior Assessment System for Children (BASC) Teacher Rating Scales for Children (TRS-C) norming data were collected for 1,227 six- to eleven-year-old children at 116 sites representing various regions of the United States. The TRS-C has 148 items that are rated by the teacher on a 4-point scale of frequency, ranging from Never to Almost always. The Ward method of cluster analysis was used to identify the initial centroids or cluster seeds. An iterative clustering method, a K-means procedure, was used to refine the Ward cluster solution. A seven-cluster solution was selected based on both rational and empirical considerations. The resulting clusters were named well-adapted, average, learning disorder, disruptive behavior disorder, physical complaints and worry, severe psychopathology, and mildly disruptive. The seven-cluster solution resembles those of Achenbach (1991), Curry and Thompson (1985), and other researchers. The resulting typology points the way toward future cluster studies of child psychopathology by delineating additional research and theoretical questions.
本研究的目的是在为小学年龄段儿童构建有意义的课堂行为类型学这一新兴努力的基础上展开。我们收集了来自美国不同地区116个地点的1227名6至11岁儿童的《儿童行为评估系统(BASC)》教师对儿童的评定量表(TRS-C)常模数据。TRS-C有148个项目,由教师根据频率的4点量表进行评定,范围从“从不”到“几乎总是”。采用沃德聚类分析法来确定初始质心或聚类种子。使用迭代聚类方法,即K均值程序,来完善沃德聚类解决方案。基于理性和实证考虑,选择了七聚类解决方案。所得聚类被命名为适应良好、平均水平、学习障碍、破坏性行为障碍、身体不适与担忧、严重精神病理学以及轻度破坏性行为。七聚类解决方案与阿肯巴克(1991年)、库里和汤普森(1985年)以及其他研究人员的方案相似。所得的类型学通过勾勒出额外的研究和理论问题,为未来儿童精神病理学的聚类研究指明了方向。