评估嫉妒:因子分析,测量不变性,名学有效性和多维嫉妒尺度的长度APIM分析
1Martin Luther University Halle-Wittenberg, Germany.
Assessment
|October 7, 2024
概括
多维嫉妒量表 (MJS) 最好将嫉妒作为三个不同的因素来衡量,而不是一个单一的分数. 这种经过验证的模型预测了双方伴侣随着时间的推移对关系的满意度.
科学领域:
- 心理学 心理学 心理学
- 社会心理学 社会心理学
- 关系科学科学 关系科学
背景情况:
- 多维嫉妒量表 (MJS) 是评估嫉妒的既定工具.
- 之前的研究已经探索了它的结构和与人格特征的相关性.
研究的目的:
- 评估MJS的竞争因素模型.
- 检查MJS与人格病理和广泛/狭窄特征的外部相关性.
- 调查MJS对伴侣随时间的关系满意度的预测有效性.
主要方法:
- 在四个样本 (N=2,117) 中进行确认因素分析,以测试测量模型.
- 使用Actor-Partner相互依赖模型对纵向情侣数据 (5-9个月的延迟) 的分析.
- 检查浪漫伴侣之间的测量不变性.
主要成果:
- 一个三关联因素模型提供了最合适的,挑战使用总MJS得分.
- MJS证明了浪漫伴侣之间的测量不变性.
- 在纵向分析中,MJS对参与者和合作伙伴的关系满意度进行了预测.
- 与人格病理和特征的关联被复制.
结论:
- 最好将MJS理解为一个具有三个相关因子的多维构造.
- MJS是对夫妇关系满意度的有效预测指标.
- 未来的修订可能会考虑解决项目措辞的包容性.
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