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中国大学生人格量表黑暗因素的项目反应理论分析。

Item Response Theory Analysis of the Dark Factor of Personality Scale for College Students in China.

机构信息

Collaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing 100875, China.

出版信息

Int J Environ Res Public Health. 2022 Oct 6;19(19):12787. doi: 10.3390/ijerph191912787.

Abstract

The Dark Factor of Personality (D) describes the common core of dark traits and is a stable indicator for socially aversive behaviors. This study investigated the psychometric properties of the Chinese version of the Dark Factor of Personality Scale for college students using item response theory (IRT). A total of 762 students-251 males and 511 females ( = 19.99, = 1.30)-were recruited. Item response theory methods were utilized to evaluate the properties of the scale. Four items with poor item properties were excluded, obtaining a final 28-item scale (D28-C) that included highly discriminative items showing high measurement precision in various levels of the D factor. Furthermore, a test of differential item functioning (DIF) by gender was conducted. The result indicated that the scale as a whole could be seen as gender invariant. Lastly, according to the detailed information provided by IRT and the content of items, a reliable short form of the D28-C comprising 15 items was obtained. The study enriched the existing knowledge of the dark factor of personality in the Chinese background and made some revisions to the corresponding scale to make it a more reliable tool for measurement in China. In addition, the shortened version of the scale based on item information and content helps to improve the efficiency of the measurement.

摘要

人格阴暗面因素(D)描述了阴暗特质的共同核心,是预测反社会行为的稳定指标。本研究采用项目反应理论(IRT),考察了人格阴暗面因素量表中文版在大学生群体中的心理测量学特性。共招募了 762 名学生,其中男性 251 名,女性 511 名( = 19.99, = 1.30)。采用项目反应理论方法评估量表的性质。剔除了 4 项属性较差的项目,得到最终的 28 项量表(D28-C),包括高度区分性的项目,在 D 因素的各个水平上显示出较高的测量精度。此外,还进行了性别差异项目功能检验(DIF)。结果表明,该量表整体上可以视为性别不变。最后,根据 IRT 提供的详细信息和项目内容,获得了一个包含 15 个项目的可靠的 D28-C 简短形式。本研究丰富了人格阴暗面因素在中文背景下的现有知识,并对相应量表进行了一些修订,使其成为中国更可靠的测量工具。此外,基于项目信息和内容的量表缩短版有助于提高测量的效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb12/9564954/3af472467811/ijerph-19-12787-g001.jpg

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