Discordancy Tests for Outlier Detection in Multi-Item Questionnaires

被引:11
|
作者
Zijlstra, Wobbe P. [1 ]
Van der Ark, L. Andries [1 ]
Sijtsma, Klaas [1 ]
机构
[1] Tilburg Univ, Fac Social & Behav Sci, Dept Methodol & Stat, NL-5000 LE Tilburg, Netherlands
关键词
discordancy test; Mahalanobis distance; outlier detection in questionnaire data; outlier score O+; outlier score G(+); robust Mahalanobis distance; ROBUST METHODS; ALGORITHM;
D O I
10.1027/1614-2241/a000056
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
The sensitivity and the specificity of four outlier scores were studied for four different discordancy tests. The outlier scores were the Mahalanobis distance, a robust version of the Mahalanobis distance, and two measures tailored to discrete data, known as O+ and G(+). The discordancy tests were Tukey's fences (a.k.a. boxplot). Tukey's fences with adjustment for skewness (adjusted boxplot), the generalized extreme studentized deviate (ESD), and the transformed ESD (ESD-T). Outlier scores O+ and G(+) performed better than the Mahalanobis distance and its robust version. Discordancy tests ESD-T and adjusted boxplot were advocated for high specificity and ESD for high sensitivity.
引用
收藏
页码:69 / 77
页数:9
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