How stable is happiness? Using the STARTS model to estimate the stability of life satisfaction
How stable is happiness? Using the STARTS model to estimate the stability of life satisfaction
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DOI：
10.1016/j.jrp.2006.11.005
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发表时间：
2007-10-01
影响因子：
3.3
通讯作者：
Donnellan, M. Brent
中科院分区：
文献类型：
--
作者：
Lucas, Richard E.;Donnellan, M. Brent
对现有主观幸福感研究的一个常见解释是，长期幸福感水平几乎完全稳定。然而，很少有研究使用可以精确解决这个问题的适当统计模型来估计稳定性和变化。STARTS模型（Kenny & Zautra，2001）被用来分析来自两个全国代表性小组研究的生活满意度数据。结果表明，观察到的分数中34-38%的方差是不变的特质方差。另外29-34%可以由自回归特征解释，该特征随着时间的推移仅适度稳定。因此，虽然生活满意度在很长一段时间内是适度稳定的，但也有相当程度的不稳定性，这可能取决于背景环境。(C)2006年爱思唯尔公司All rights reserved.
A common interpretation of existing subjective well-being research is that long-term levels of well-being are almost completely stable. However, few studies have estimated stability and change using appropriate statistical models that can precisely address this question. The STARTS model (Kenny & Zautra, 2001) was used to analyze life satisfaction data from two nationally representative panel studies. Results show that 34-38% of the variance in observed scores is trait variance that does not change. An additional 29-34% can be accounted for by an autoregressive trait that is only moderately stable over time. Thus, although life satisfaction is moderately stable over long periods of time, there is also an appreciable degree of instability that might depend on contextual circumstances. (C) 2006 Elsevier Inc. All rights reserved.