在印象管理或自我监控方面得分较高或较低的人可以通过伪造的不同痕迹来识别吗?
Jessica Röhner1, Philipp Thoss1, Liad Uziel2
1University of Bamberg, Germany.
Educational and psychological measurement
|May 17, 2024
概括
在测试中伪造人格与印象管理 (IM) 和自我监控 (SM) 有关. 响应模式揭示了SM,但不是IM,为伪造行为提供了新的见解.
科学领域:
- 心理学 心理学 心理学
- 人格心理学 人格心理学
- 心理测量 心理测量 心理测量
背景情况:
- 伪造人格评估受到印象管理 (IM) 和自我监控 (SM) 的影响.
- 之前关于人格变量与假装之间的联系的研究已经产生了不一致的结果.
- 在项目层面分析响应模式为了解假冒动态提供了一种新的方法,超越了基于分数的分析.
研究的目的:
- 调查外向项目的伪造响应模式是否可以预测印象管理 (IM) 和自我监控 (SM) 评分.
- 为了比较弹性网和随机森林回归在分析伪造的响应模式的有效性.
- 为了确定项目级响应模式是否可以根据IM和SM水平来区分个人.
主要方法:
- 使用机器学习算法 (弹性网和随机森林回归) 重新分析数据集 (N=260).
- 作为输入特征,检查了外向项目的伪造响应模式.
- 评估了IM和SM得分的响应模式的预测能力.
主要成果:
- 假冒期间的反应模式在很大程度上与个人一致,无论IM分数如何 (在随机森林回归中假装高分除外).
- 弹性网和随机森林回归都表明,SM得分较高的个体与SM得分较低的个体相比,表现出不同的伪造模式.
- 响应模式成功预测了SM水平,但没有IM水平.
结论:
- 项目级响应模式分析是了解伪造人格评估中的细微差别的宝贵工具.
- 自我监测 (SM) 显著影响个人如何伪造反应,明显的反应模式证明了这一点.
- 在这项研究中,通过伪造的响应模式无法可靠地检测到印象管理 (IM),这表明这些人格特征对伪造行为的差异影响.
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