你的黑暗能被测量吗?浅析瑞典语《人格黑暗因素》的全文与简写

IF 1 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Nico Streckert, Lara Kurtz, P. Kajonius
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引用次数: 1

摘要

摘要人格的黑暗因素(D)衡量对抗性特质的潜在核心。本研究评估了瑞典语版完整版(D70)和简短版(D16)在结构有效性、项目信息和收敛有效性方面的心理测量特性。在线样本(N = 294)使用CFA(最大似然估计)、IRT(分级响应模型)和SEM(潜在相关性)进行分析。首先,D70的原始理论双因子模型和D16的单因子模型显示出与数据的良好拟合。此外,基于FD和H的新的可靠性分析表明,D70可以很好地分解为一维度量,这一点有待进一步讨论。其次,IRT分析呈现了有效的项目质量和功能,并表明项目在高于平均水平的特质水平上提供了最多的信息。最后,收敛的SEM分析表明,D与精神变态和马基雅维利主义有很高的潜在特质相关性,但与自恋无关。与六大人格因素(mini-IPIP6)的相关性产生了预期的与随和和诚实谦逊的高相关性。建议在未来的研究中使用完整的D70和简短的D16的瑞典语翻译。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can your darkness be measured? Analyzing the full and brief version of the Dark Factor of Personality in Swedish
Abstract The Dark Factor of Personality (D) measures the latent core of antagonistic traits. The present study evaluated the psychometric properties of the Swedish version of the full (D70) and the brief (D16) versions, concerning structural validity, item information, and convergent validity. An online sample (N = 294) was analyzed using CFA (Maximum Likelihood Estimation), IRT (Graded Response Model) and SEM (latent correlations). Firstly, the original theorized bifactor model for D70 and a single-factor model for D16 showed good fit to the data. Moreover, new reliability-analyses based on FD and H indicated that the D70 favorably can be collapsed into a unidimensional measure, which is further discussed. Secondly, the IRT-analyses present valid item quality and functioning and showed that items provide the most information on trait levels above mean levels. Lastly, convergent SEM-analyses showed that D had high latent trait correlations to psychopathy and Machiavellianism, but not to narcissism. The correlations with the Big Six personality factors (mini-IPIP6) yielded expected high correlations with Agreeableness and Honesty-Humility. The Swedish translation of the full D70 and brief D16 is recommended for use in future research.
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来源期刊
International Journal of Testing
International Journal of Testing SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.60
自引率
11.80%
发文量
13
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