A new discrimination method for the Concealed Information Test using pretest data and within-individual comparisons
A new discrimination method for the Concealed Information Test using pretest data and within-individual comparisons
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DOI：
10.1016/j.biopsycho.2006.01.013
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发表时间：
2006-08-01
影响因子：
2.6
通讯作者：
Shigemasu, Kazuo
中科院分区：
文献类型：
--
作者：
Matsuda, Izumi;Hirota, Akihisa;Shigemasu, Kazuo
提出了一种潜在类别区分方法来分析隐藏信息测试的自主反应。由于自主反应存在显着的个体差异，因此在预测试中估计个体反应模式。然后针对每个人的反应模式应用适当的判别公式到 CIT 测试结果。通过比较犯罪相关项目与非犯罪相关项目的判别式值，计算出个体隐藏信息的概率。在将三种方法应用于同一数据集的实验演示中，潜在类别判别方法的判别性能高于逻辑回归方法和判别分析方法。 (c) 2006 Elsevier B.V. 保留所有权利。
A latent class discrimination method is proposed for analyzing autonomic responses on the concealed information test. Because there are significant individual differences in autonomic responses, individual response patterns are estimated on the pretest. Then an appropriate discriminant formula for the response pattern of each individual is applied to the CIT test results. The probability that the individual concealed information is calculated by comparing the discriminant formula value of the crime-related item to that of non-crime-related items. The discrimination performance of the latent class discrimination method was higher than those of the logistic regression method and the discriminant analysis method in an experimental demonstration applying the three methods to the same data set. (c) 2006 Elsevier B.V. All rights reserved.