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Meta-analysis of coefficient alpha for scores on the Narcissistic Personality Inventory

机译:自恋型人格量表上分数的系数α的荟萃分析

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摘要

The Narcissistic Personality Inventory (NPI) has greatly facilitated the scientific study of trait narcissism. However, there is great variability in the reported reliability of scores on the NPI. This study meta-analyzes coefficient alpha for scores on the NPI and its sub-scales (e.g. entitlement) with transformed alphas weighted by the inverse of the variance of alpha. Three coders evaluated 1213 individual studies for possible inclusion and determined that 1122 independent samples were suitable for coding on 12 different characteristics of the sample, scale, and study. A fourth author cross-coded 15 percent of these samples resulting in 85 percent overall agreement. In the independent samples, comprised of 195,038 self-reports, the expected population coefficient alpha for the NPI was .82. The population value for alpha on the various sub-scales ranged from .48 for narcissistic self-sufficiency to .76 for narcissistic leadership/authority. Because significant heterogeneity existed in coded study alphas for the overall NPI, moderator tests and an explanatory model were also conducted and reported. It was found that longer scales, the use of a Likert response scale as opposed to the original forced choice response format, higher mean scores and larger standard deviations on the scale, as well as the use of samples with a larger percentage of female respondents were all positively related to the expected population alpha for scores on the overall NPI. These results will likely aid researchers who are concerned with the reliability of scores on the NPI in their research on non-clinical subjects.
机译:自恋型人格量表(NPI)极大地促进了特质自恋的科学研究。但是,报告的NPI分数可靠性存在很大差异。这项研究对NPI及其子量表(例如权益)的得分进行了荟萃分析,并通过α的方差的倒数加权了转化后的α。三个编码员评估了1213个个体研究的可能纳入性,并确定1122个独立样本适合于对样本,规模和研究的12个不​​同特征进行编码。第四位作者对这些样本中的15%进行了交叉编码,从而使总体协议达到了85%。在由195,038个自我报告组成的独立样本中,NPI的预期人口系数α为0.82。在各个子等级上,alpha的人口值范围从.48的自恋型自给自足到0.76的自恋型领导/权威。由于整个NPI的编码研究Alpha中存在显着的异质性,因此也进行了并报告了主持人测试和解释性模型。结果发现,较长的量表,使用李克特反应量表(与原始的强迫选择反应格式相反),较高的平均得分和较大的标准差,以及使用的女性受访者比例较高所有这些与总体NPI得分的预期总体alpha呈正相关。这些结果可能会帮助那些关注NPI分数在非临床研究中的可靠性的研究人员。

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