Lu L
Graduate Institute of Behavioral Sciences, Kaohsiung Medical College, Taiwan.
J Soc Psychol. 1999 Feb;139(1):79-90. doi: 10.1080/00224549909598363.
The author analyzed an integrative model of happiness, which incorporated personal factors (demographics, extraversion, neuroticism, and locus of control) and environmental factors (life events and social support), using a longitudinal data set. A secondary purpose was to clarify the relationship between overall happiness and life satisfaction. Using systematic random sampling, 581 residents of Kaohsiung, Taiwan, completed structured questionnaires at Time 1; among them, 105 returned valid questionnaires 2.5 years later, at Time 2. Longitudinal analysis indicated moderate stability of the subjective well-being (SWB) measures. More importantly, when both the baseline SWB levels and personality traits were statistically controlled, social support still predicted overall happiness, and positive life events predicted life satisfaction. Furthermore, there was a consistently strong bidirectional relationship between overall happiness and life satisfaction.
作者使用纵向数据集分析了一个幸福综合模型,该模型纳入了个人因素(人口统计学、外向性、神经质和控制点)和环境因素(生活事件和社会支持)。第二个目的是阐明总体幸福感与生活满意度之间的关系。通过系统随机抽样,581名台湾高雄居民在时间1完成了结构化问卷;其中,105人在2.5年后的时间2返回了有效问卷。纵向分析表明主观幸福感(SWB)测量具有中等稳定性。更重要的是,当基线SWB水平和人格特质在统计上得到控制时,社会支持仍然可以预测总体幸福感,积极生活事件可以预测生活满意度。此外,总体幸福感与生活满意度之间始终存在强烈的双向关系。