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Assessing Jealousy: Factor Analyses, Measurement Invariance, Nomological Validity, and Longitudinal APIM Analyses of
1Martin Luther University Halle-Wittenberg, Germany.
The Multidimensional Jealousy Scale (MJS) best measures jealousy as three distinct factors, not a single score. This validated model predicts relationship satisfaction for both partners over time.
Area of Science:
- Psychology
- Social Psychology
- Relationship Science
Background:
- The Multidimensional Jealousy Scale (MJS) is the established tool for assessing jealousy.
- Previous research has explored its structure and correlations with personality traits.
Purpose of the Study:
- To evaluate competing factor models of the MJS.
- To examine the MJS's external correlations with personality pathology and broad/narrow traits.
- To investigate the MJS's predictive validity for relationship satisfaction in couples over time.
Main Methods:
- Confirmatory factor analysis across four samples (N=2,117) to test measurement models.
- Analysis of longitudinal couple data (5-9 month lag) using Actor-Partner Interdependence Models.
- Examination of measurement invariance between romantic partners.
Main Results:
- A three-correlated-factor model provided the best fit, challenging the use of a total MJS score.
- The MJS demonstrated measurement invariance between romantic partners.
- MJS scores predicted relationship satisfaction for both actors and partners in longitudinal analyses.
- Associations with personality pathology and traits were replicated.
Conclusions:
- The MJS is best understood as a multidimensional construct with three correlated factors.
- The MJS is a valid predictor of relationship satisfaction within couples.
- Future revisions may consider addressing item wordings for inclusivity.
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