Stability and Change of Well Being: An Experimentally Enhanced Latent State-Trait-Error Analysis
Stability and Change of Well Being: An Experimentally Enhanced Latent State-Trait-Error Analysis
复制标题
DOI：
10.1007/s11205-009-9443-8
复制
发表时间：
2010-01-01
影响因子：
3.1
通讯作者：
Schupp, Juergen
中科院分区：
文献类型：
--
作者：
Schimmack, Ulrich;Krause, Peter;Schupp, Juergen
本研究使用德国社会经济小组中相同受访者的纵向面板数据和短期重测数据来估计状态和特质方差对生活满意度和领域满意度判断的可靠方差的贡献。关键的发现是，状态和特质方差对幸福感测量的可靠方差的贡献大致相等。大多数情况下特定的方差是随机的测量误差，虽然特定的状态方差的变化，使一些措施的可靠贡献。此外，研究表明，生活满意度和平均领域满意度的稳定的特质组成部分（r = 0.97），这表明这两个措施是由相同的稳定的倾向的影响，具有很高的相似性。相比之下，两个措施的状态方差是不同的，但仍然高度相关（r = 0.77）。这两种测量的误差方差仅弱相关，表明大部分误差分量确实是由于随机测量误差。
This study uses longitudinal panel data and short-term retest data from the same respondents in the German Socio-economic Panel to estimate the contribution of state and trait variance to the reliable variance in judgments of life satisfaction and domain satisfaction. The key finding is that state and trait variance contribute approximately equally to the reliable variance in well being measures. Most of the occasion specific variance is random measurement error, although occasion-specific variation in state variance makes a reliable contribution for some measures. Moreover, the study shows high similarity in life satisfaction and average domain satisfaction for the stable trait component (r = .97), indicating that these two measures are influenced by the same stable dispositions. In contrast, state variance of the two measures is distinct, although still highly correlated (r = .77). Error variances of the two measures are only weakly correlated, indicating that most of the error component is indeed due to random measurement error.