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自恋夸大量表:项目聚合和判别效度的元分析检验。

The Narcissistic Grandiosity Scale: A meta-analytic examination of item convergent and discriminant validity.

机构信息

Yale School of the Environment.

Department of Psychology.

出版信息

Psychol Assess. 2022 Sep;34(9):891-897. doi: 10.1037/pas0001151. Epub 2022 Jun 16.

DOI:10.1037/pas0001151
PMID:35708926
Abstract

The Narcissistic Grandiosity Scale (NGS; Rosenthal et al., 2020) is a 16-item adjective-rating scale with scores that measure narcissistic grandiosity, a central feature of the grandiose form of narcissism. The NGS was developed both to measure the narcissistic grandiosity construct and to do so in a way that maximally distinguishes narcissistic grandiosity from nongrandiose self-esteem, a construct with which narcissistic grandiosity is often conflated. Over the past few years, different shortened versions of the NGS have been recommended in the literature. To evaluate these shortened versions, we used a meta-analysis to assess how well scores on each NGS item measured narcissistic grandiosity and distinguished it from self-esteem. Using zero-order and partial correlations from 40 data sets, which included information from 14,938 individual participants, we found that all NGS items correlated moderately with grandiose narcissism and largely retained those relations when controlling for self-esteem as well as narcissistic entitlement. The results help inform researchers about the degree to which items recommended for shorter versions of the NGS meet the scale's theoretical goals. We conclude that, when possible, it is advantageous for researchers to continue to use the full 16-item version of the scale. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

摘要

自恋夸大量表(NGS;Rosenthal 等人,2020)是一个 16 项形容词评定量表,其分数可衡量自恋夸大,这是夸大形式自恋的一个核心特征。NGS 的开发目的既是为了衡量自恋夸大的结构,也是为了以一种最大程度区分自恋夸大与非夸大自尊的方式来衡量,自恋夸大往往与自尊相混淆。在过去的几年中,文献中推荐了不同的 NGS 简短版本。为了评估这些缩短版本,我们使用元分析来评估每个 NGS 项目的得分在多大程度上衡量了自恋夸大,并将其与自尊区分开来。我们使用来自 40 个数据集的零阶和偏相关,其中包含来自 14938 名个体参与者的信息,发现所有 NGS 项目与夸大的自恋都呈中度相关,并且在控制自尊以及自恋特权后,这些关系仍基本保持不变。结果有助于研究人员了解推荐用于 NGS 简短版本的项目在多大程度上符合该量表的理论目标。我们的结论是,在可能的情况下,研究人员继续使用完整的 16 项版本的量表是有利的。

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