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用于儿童精神病理学多维分类的系统精算计算机程序的验证

Validation of a systems-actuarial computer process for multidimensional classification of child psychopathology.

作者信息

McDermott P A, Hale R L

出版信息

J Clin Psychol. 1982 Jul;38(3):477-86. doi: 10.1002/1097-4679(198207)38:3<477::aid-jclp2270380303>3.0.co;2-7.

Abstract

Tested diagnostic classifications of child psychopathology produced by a computerized technique known as multidimensional actuarial classification (MAC) against the criterion of expert psychological opinion. The MAC program applies series of statistical decision rules to assess the importance of and relationships among several dimensions of classification, i.e., intellectual functioning, academic achievement, adaptive behavior, and social and behavioral adjustment, to perform differential diagnosis of children's mental retardation, specific learning disabilities, behavioral and emotional disturbance, possible communication or perceptual-motor impairment, and academic under- and overachievement in reading and mathematics. Classifications rendered by MAC are compared to those offered by two expert child psychologists for cases of 73 children referred for psychological services. Experts' agreement with MAC was significant for all classification areas, as was MAC's agreement with the experts held as a conjoint reference standard. Whereas the experts' agreement with MAC averaged 86.0% above chance, their agreement with one another averaged 76.5% above chance. Implications of the findings are explored and potential advantages of the systems-actuarial approach are discussed.

摘要

将一种名为多维精算分类(MAC)的计算机技术所产生的儿童精神病理学诊断分类,与专家心理意见的标准进行对比测试。MAC程序应用一系列统计决策规则,来评估分类的几个维度(即智力功能、学业成绩、适应性行为以及社会和行为调整)之间的重要性和关系,以对儿童智力迟钝、特定学习障碍、行为和情绪障碍、可能的沟通或感知运动障碍以及阅读和数学方面的学业成绩不足与超常进行鉴别诊断。针对73名寻求心理服务的儿童案例,将MAC做出的分类与两位儿童心理学专家给出的分类进行比较。专家与MAC在所有分类领域的一致性都很显著,MAC与作为联合参考标准的专家之间的一致性也是如此。专家与MAC的一致性平均比随机概率高出86.0%,而他们彼此之间的一致性平均比随机概率高出76.5%。对研究结果的影响进行了探讨,并讨论了系统精算方法的潜在优势。

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