Haverford College, Haverford, PA 19041, USA.
J Pers. 2011 Apr;79(2):391-428. doi: 10.1111/j.1467-6494.2010.00688.x.
Although growth has been a central focus in narrative research, few studies have examined growth comprehensively, as a story that emerges across the interpretation of many events. In this study, we examined how individual differences in autobiographical reasoning (AR) about self-growth relate to traits and well-being in a national sample of midlife adults (N= 88) who ranged in age from 34 to 68. Two patterns of growth-related AR were identified: (1) positive processing, defined as the average tendency to interpret events positively (vs. negatively), and (2) differentiated processing, defined as the extent to which past events are interpreted as causing a variety of forms of self-growth. Results showed that positive processing was negatively related to neuroticism and predicted well-being even after controlling for the average valence of past events. Additionally, differentiated processing of negative events but not positive events was positively related to openness and predictive of well-being. Finally, growth-related AR patterns independently predicted well-being beyond the effects of traits and demographic factors.
尽管成长一直是叙事研究的核心关注点,但很少有研究全面地研究成长,将其视为通过对许多事件的解释而浮现的故事。在这项研究中,我们调查了中年成年人(年龄在 34 岁至 68 岁之间,N=88)的个体自传体推理(AR)差异如何与特质和幸福感相关,这些成年人来自全国性样本。确定了两种与成长相关的 AR 模式:(1)积极处理,定义为平均倾向于积极(而非消极)地解释事件;(2)差异化处理,定义为过去事件被解释为导致多种形式的自我成长的程度。结果表明,积极处理与神经质呈负相关,即使在控制过去事件的平均效价后,也能预测幸福感。此外,对消极事件而不是积极事件的差异化处理与开放性呈正相关,并能预测幸福感。最后,成长相关的 AR 模式独立于特质和人口统计学因素对幸福感有预测作用。