1 University of Pittsburgh, Pittsburgh, PA, USA.
2 University at Buffalo, Buffalo, NY, USA.
Assessment. 2019 Jun;26(4):619-629. doi: 10.1177/1073191118766412. Epub 2018 Mar 24.
The Pathological Narcissism Inventory (PNI) has enjoyed widespread use in the study of the narcissism. However, questions have been raised about whether the PNI's grandiosity scale adequately captures narcissistic grandiosity as well as other popular measures do. Specifically, some have noted that PNI grandiosity shows a pattern of external associations that diverges from patterns for narcissistic grandiosity predicted by experts, and is more similar to the predictions for the vulnerability scale than is desirable. Previous research driving these critiques has relied on patterns of zero-order correlations to examine the nomological networks of these scales. The present study reexamines the nomological networks of PNI grandiosity and vulnerability scales using hierarchical regression. Results indicate that once accounting for overlapping variance of vulnerability and grandiosity, the unique variance in the PNI's grandiosity scale closely matches contemporary expert conceptualizations of narcissistic grandiosity based on expected associations with other personality variables.
病理性自恋量表 (PNI) 在自恋研究中得到了广泛应用。然而，人们对 PNI 的夸大量表是否能像其他流行的量表一样充分捕捉到自恋的夸大，以及其他一些问题提出了质疑。具体来说，一些人指出，PNI 的夸大显示出一种与专家预测的自恋夸大模式不同的外部关联模式，与脆弱性量表的预测更为相似，而不是理想的模式。推动这些批评的先前研究依赖于零阶相关模式来检验这些量表的理论网络。本研究使用层次回归重新检验了 PNI 夸大和脆弱性量表的理论网络。结果表明，一旦考虑到脆弱性和夸大的重叠方差，PNI 夸大量表的独特方差与基于与其他人格变量的预期关联的当代专家对自恋夸大的概念化非常吻合。
