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Temporal relationships of forgivingness with personality and moods: A three-wave panel study
Personality and Individual Differences ( IF 3.950 ) Pub Date : 2021-03-23 , DOI: 10.1016/j.paid.2021.110858
Esther Yuet Ying Lau , C. Harry Hui , Jasmine Lam , Shu Fai Cheung , Sing-Hang Cheung

While forgivingness has been associated with health and psychosocial variables, previous cross-sectional studies could not address the temporal characteristics of their relationships. To overcome this limitation, the present study investigated longitudinally the antecedents and consequences of forgivingness, as well as the association of mood states and Big Five personality traits with forgivingness. We obtained complete data on forgivingness, Big Five personality traits, and moods across three waves of surveys over six years from 294 participants, and from more participants who completed only one or two waves. Structural equation modelling for the cross-lagged longitudinal analysis was applied, controlling for auto-correlations and effects of external variables. Our data revealed a weak link from conscientiousness to later forgivingness. More importantly, forgivingness predicted emotional stability, agreeableness and less negative moods longitudinally. Our findings challenged the previously-assumed causative roles of Big Five personality traits in forgivingness but corroborated the desirable predictive effects of being forgiving in developing more positive moods and personality characteristics.



中文翻译:

宽恕与人格和情绪的时间关系:三波小组研究

尽管宽恕已与健康和社会心理变量相关联,但以前的横断面研究无法解决其关系的时间特征。为了克服这一局限性,本研究纵向研究了宽恕的前因和后果,以及情绪状态和五种人格特质与宽恕的关联。在过去的六年中,我们从294名参与者以及仅完成一到两次浪潮的更多参与者中进行了三波调查,获得了关于宽容度,五项人格特质和情绪的完整数据。应用了用于交叉滞后纵向分析的结构方程模型,控制自相关和外部变量的影响。我们的数据显示,从认真到后来的宽恕之间存在着微弱的联系。更重要的是,宽容在纵向上预示了情绪的稳定,愉悦和消极的情绪。我们的发现挑战了先前假定的五种人格特质在宽恕中的因果作用,但证实了宽恕在发展更积极的情绪和人格特征方面的理想预测作用。

更新日期:2021-03-24
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