Zautra A J, Finch J F, Reich J W, Guarnaccia C A
Department of Psychology, Arizona State University, Tempe 85287-1104.
J Pers. 1991 Sep;59(3):507-38. doi: 10.1111/j.1467-6494.1991.tb00258.x.
Predicting the everyday life events of people is a relatively unexplored topic, although several major theoretical approaches deal with related issues. The dispositional approach would assign a causal role to personality, while the situational approach would locate causation in the person's environment. Variations on these two extreme themes invoke an interactionist interpretation. Beyond this, a genuinely transactional approach focuses on the enduring person-environment relationship established as people deal with major and everyday life events. This study investigated a wide range of predictors of daily positive, negative, and ill-health events over time in a sample of 206 older adults. Results showed that personality variables played only a minor role in predicting daily events, although an interaction between extraversion and social network size was significant. Background demographic variables and the major stressors of recent conjugal bereavement and physical disability played a role in daily event occurrences. Overall, the strongest degree of predictability of events came from the events themselves: The high degree of event stability over time indicated the value of a genuinely transactional model in understanding the occurrence of everyday events.
预测人们的日常生活事件是一个相对未被充分探索的话题,尽管有几种主要的理论方法涉及相关问题。特质取向会将因果作用归因于人格,而情境取向则将因果关系定位在人的环境中。这两种极端观点的变体引发了一种交互作用论的解释。除此之外,一种真正的相互作用方法关注的是人们在应对重大和日常生活事件时建立的持久的人与环境关系。本研究调查了206名老年人样本中随着时间推移日常积极、消极和健康不良事件的各种预测因素。结果表明,人格变量在预测日常事件中只起次要作用,尽管外向性与社交网络规模之间的相互作用是显著的。背景人口统计学变量以及近期配偶丧亡和身体残疾等主要压力源在日常事件发生中起了作用。总体而言,事件最强的可预测程度来自事件本身:随着时间推移事件的高度稳定性表明了一种真正的相互作用模型在理解日常事件发生方面的价值。