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

This article focuses on the psychometric evaluation of the Multidimensional Jealousy Scale (MJS), a widely used self-report instrument assessing cognitive, emotional, and behavioral jealousy. Across four independent samples totaling 2,117 participants, including individuals and mixed-gender couples, confirmatory factor analyses supported a three-factor model of jealousy rather than a unidimensional or second-order general factor model, leading to the recommendation against using a total MJS score. Measurement invariance analyses demonstrated that the MJS functions equivalently across genders in couples, supporting its use in dyadic and gender-comparative research. The studies further established the reliability of the German version of the MJS and extended its nomological validity by replicating associations with broad personality traits, maladaptive personality domains, attachment styles, dark triad traits, and relationship satisfaction, with longitudinal Actor-Partner Interdependence Model analyses showing that MJS scores predict facets of relationship satisfaction in both partners. The authors note limitations including reliance on self-report data, the exclusion of non-heteronormative item wording, and the absence of digital jealousy content, suggesting future revisions to enhance inclusivity and comprehensiveness.