Diagnosing attention deficit disorders with the Behavioral Assessment System for Children and the Child Behavior Checklist: test and construct validity analyses using optimal discriminant classification trees.
Diagnosing attention deficit disorders with the Behavioral Assessment System for Children and the Child Behavior Checklist: test and construct validity analyses using optimal discriminant classification trees.
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使用儿童行为评估系统和儿童行为检查表诊断注意力缺陷障碍：使用最佳判别分类树进行测试和构建有效性分析。
DOI：
10.1037/0022-006x.66.4.660
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
August,GJ
中科院分区：
文献类型：
--
作者：
Ostrander,R;Weinfurt,KP;Yarnold,PR;August,GJ
儿童行为评估系统（BASC）和儿童行为检查表（CBCL）父母量表的有用性进行了检查，（a）区分注意缺陷多动障碍（ADHD）的学生与非ADHD的学生和（B）之间的主要是不注意类型和组合型ADHD折磨的学生区分。对于BASC和CBCL，为2种诊断预测中的每一种开发了不同的最佳判别分类树分析（CTA）模型。在区分ADHD学生和非ADHD学生方面，BASC模型比CBCL模型更简洁和准确。为了区分主要注意力不集中和混合型的目标，CBCL的模型是上级预测主要注意力不集中的学生。结果证明了BASC和CBCL的诊断效用，并描述了与ADHD亚型相关的突出行为维度。
The usefulness of the Behavioral Assessment System for Children (BASC) and Child Behavior Checklist (CBCL) Parent scales was examined with respect to (a) differentiating students with attention deficit–hyperactivity disorder (ADHD) from non-ADHD students and (b) discriminating between the predominantly inattentive-type and combined-type ADHD-afflicted students. For both the BASC and the CBCL, a different optimal discriminant classification tree analysis (CTA) model was developed for each of the 2 diagnostic predictions. For distinguishing ADHD students from non-ADHD students, the BASC model was more parsimonious and accurate than the CBCL model. Toward the goal of differentiating between primarily inattentive and combined types, the CBCL's model was superior for predicting primarily inattentive students. The results demonstrate the diagnostic utility of the BASC and CBCL and describe salient behavioral dimensions associated with subtypes of ADHD.