Measurement Invariance of the HEXACO-100 Across Gender Groups: A Three-Sample Study.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Jisoo Ock, Samuel T McAbee
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引用次数: 0

Abstract

We used exploratory structural equation modeling to examine gender-based measurement invariance (MI) in the HEXACO-100 across three samples that varied in terms of age (undergraduate students in Study 1, working adults in Studies 2 and 3) and testing context (research context in Studies 1 and 2, high-stakes selection context in Study 3). Across three studies, we consistently found support for configural and metric invariance but not scalar invariance. However, the effect size measures of non-invariance were generally small. That said, in the Emotionality scale, for the same latent score, females scored higher than males due to measurement non-invariance (between 0.26 and 0.48 standard deviation units). Thus, the observed mean gender differences overestimated the true mean gender differences. The current study provides detailed evidence regarding gender-based MI of HEXACO personality scales. More generally, it provides insight regarding the effect that measurement artifacts can have on understanding psychological gender differences at the latent level.

不同性别组 HEXACO-100 的测量不变性:三样本研究。
我们使用探索性结构方程建模来研究 HEXACO-100 中基于性别的测量不变量(MI),研究涉及三个不同年龄(研究 1 为本科生,研究 2 和研究 3 为在职成年人)和测试背景(研究 1 和研究 2 为研究背景,研究 3 为高风险选拔背景)的样本。在三项研究中,我们一致发现了构型不变性和度量不变性,但没有发现标量不变性。然而,衡量不变量的效应大小通常较小。尽管如此,在情绪量表中,对于相同的潜在得分,由于测量的非方差性,女性得分高于男性(介于 0.26 和 0.48 个标准差单位之间)。因此,观察到的平均性别差异高估了真实的平均性别差异。本研究为 HEXACO 人格量表基于性别的多元智能提供了详细的证据。从更广泛的意义上讲,本研究还提供了关于测量人工痕迹对理解潜在心理性别差异的影响的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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