Retzlaff P, Sheehan E, Fiel A
University of Northern Colorado, Greeley.
J Pers Assess. 1991 Jun;56(3):466-77. doi: 10.1207/s15327752jpa5603_8.
This study examines the behavior of the Millon Clinical Multiaxial Inventory-II (MCMI-II) in the face of various response styles and biases. The profiles and validity configurations of eight different test-taking styles were analyzed. Four hundred MCMI-II inventories (50 for each of the following categories) were administered or generated to produce the following: (a) normal endorsement by subjects, (b) fake good for administrative reasons, (c) fake good for clinical reasons, (d) fake bad administratively, (e) fake bad clinically, (f) 50% true/50% false computer generated, (g) 95% true computer generated, and (h) 95% false computer generated. Good statistical and clinically relevant separation of the profiles was found for normal, fake good, fake bad, and the randomly generated profiles with 44% of the variance predicted. The percentage of profiles identified by validity scales, however, was modest.
本研究考察了米隆临床多轴问卷第二版（MCMI-II）在面对各种反应方式和偏差时的表现。分析了八种不同应试风格的剖面图和效度配置。发放或生成了400份MCMI-II问卷（以下各类别各50份），以产生以下结果：（a）受试者正常认可，（b）出于管理原因佯装良好，（c）出于临床原因佯装良好，（d）管理上佯装不良，（e）临床上佯装不良，（f）计算机生成的50%真实/50%虚假，（g）计算机生成的95%真实，以及（h）计算机生成的95%虚假。对于正常、佯装良好、佯装不良以及随机生成的剖面图，发现了良好的统计学和临床相关分离，44%的方差可被预测。然而，通过效度量表识别出的剖面图百分比并不高。
