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嫉妒的评估:多维嫉妒量表的因素分析、测量不变性、效标效度及纵向行动者-伙伴相互依赖模型分析

Assessing Jealousy: Factor Analyses, Measurement Invariance, Nomological Validity, and Longitudinal APIM Analyses of the Multidimensional Jealousy Scale.

作者信息

Brauer Kay, Proyer René T

机构信息

Martin Luther University Halle-Wittenberg, Germany.

出版信息

Assessment. 2024 Oct 6:10731911241283927. doi: 10.1177/10731911241283927.

Abstract

The Multidimensional Jealousy Scale is the standard instrument to assess cognitive, emotional, and behavioral jealousy. We examined competing factor models and external correlations with broad and narrow traits. Across two studies, we analyzed four samples ( = 2,117). Confirmatory factor analysis supported the measurement model of three correlated factors in comparison to unidimensional, second-order, and bifactor models. Thus, speaking against the use of a total score. Furthermore, we found measurement invariance between romantic partners. We extended the Multidimensional Jealousy Scale (MJS)' nomological net to personality pathology and replicated prior findings of associations with broad and narrow traits. Study 2 examined longitudinal data (5- to 9-month lag) from couples. Actor-Partner Interdependence Model analyses showed that the MJS predicts facets of relationship satisfaction in actors and partners. We discuss potential avenues for revising the MJS (e.g., heteronormative item wordings).

摘要

多维嫉妒量表是评估认知、情感和行为嫉妒的标准工具。我们检验了相互竞争的因素模型以及与宽泛和狭义特质的外部相关性。在两项研究中,我们分析了四个样本(N = 2117)。验证性因素分析支持了三因素相关测量模型,与单维、二阶和双因素模型相比。因此,反对使用总分。此外,我们发现浪漫伴侣之间存在测量不变性。我们将多维嫉妒量表(MJS)的法则网络扩展到人格病理学,并重复了先前关于与宽泛和狭义特质关联的研究结果。研究2检验了来自夫妻的纵向数据(滞后5至9个月)。行为者-伴侣相互依赖模型分析表明,MJS预测了行为者和伴侣关系满意度的各个方面。我们讨论了修订MJS的潜在途径(例如,异性恋规范的项目措辞)。

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