Humboldt-Universitat zu Berlin.
University of Luxembourg.
Psychol Assess. 2019 Apr;31(4):532-544. doi: 10.1037/pas0000619. Epub 2019 Mar 14.
Faking remains an unsolved problem in high-stakes personality assessment. It is important that the evaluation of so-called faking-detection scales differs between psychological disciplines. One of the reasons for this might be the unclear nature of actual faking behavior. In the present study, we aimed to apply a modeling technique introduced by Ziegler, Maaß, Griffith, and Gammon (2015) that allows capturing of interindividual differences in faking behavior as a latent variable. We used this approach to isolate variance because of experimentally induced faking good and faking bad of the Big Five, and we predicted this variance with a variety of theoretically relevant constructs (socially desirable responding, overclaiming, and dark triad traits). We tested a sample ( = 233) divided between 2 experimental conditions and = 167 persons in a control condition twice (honest/faking and honest/honest). The application of the modeling approach for all 5 personality domains was successful. In a second step, factor scores for all faking variables derived from these prior analyses were tested for homogeneity within each faking condition. Results showed that whereas faking was neither homogeneous within each condition (i.e., faking good vs. faking bad), nor was it homogeneous across conditions. Thus, faking is a complex psychological process that is responsive to specific situational demands. In a final step, the faking variables representing faking good and faking bad were regressed onto scores from other measures. The results indicated that the common variance shared by some social desirability scales predicted faking. We discuss theoretical and practical implications of these findings. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
在高风险的人格评估中，伪造仍然是一个未解决的问题。重要的是，不同心理学学科对所谓的伪造检测量表的评估应该有所不同。造成这种情况的原因之一可能是实际伪造行为的性质不明确。在本研究中，我们旨在应用 Ziegler、Maaß、Griffith 和 Gammon（2015 年）引入的一种建模技术，该技术可以将个体之间的伪造行为差异作为潜在变量进行捕获。我们使用这种方法来分离由于大五人格的实验诱导的伪造良好和伪造不良而产生的方差，并用各种理论相关的结构（社交期望反应、夸大和暗黑三型特质）来预测这种方差。我们测试了一个样本（n=233），分为 2 个实验条件和 167 人在控制条件下进行了两次（诚实/伪造和诚实/诚实）测试。对所有 5 个人格领域的建模方法的应用都是成功的。在第二步中，对所有伪造变量的因子得分进行了分析，以检验每个伪造条件下的同质性。结果表明，伪造在每个条件内都不是同质的（即，伪造良好与伪造不良），也不是跨条件同质的。因此，伪造是一种复杂的心理过程，对特定的情境需求有反应。在最后一步，将代表伪造良好和伪造不良的伪造变量回归到其他测量结果的分数上。结果表明，一些社交期望量表的共同方差可以预测伪造。我们讨论了这些发现的理论和实践意义。（PsycINFO 数据库记录（c）2019 APA，保留所有权利）。
