Estimating the Reliability of Single-Item Life Satisfaction Measures: Results from Four National Panel Studies.
Estimating the Reliability of Single-Item Life Satisfaction Measures: Results from Four National Panel Studies.
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估计单项生活满意度措施的可靠性：来自四个国家小组研究的结果。
DOI：
10.1007/s11205-011-9783-z
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发表时间：
2012-02-01
影响因子：
3.1
通讯作者：
Donnellan MB
中科院分区：
文献类型：
--
作者：
Lucas RE;Donnellan MB
生活满意度通常是用单项指标来评估的。然而，由于无法计算内部一致性系数，估计这些测量的可靠性可能很困难。现有的方法使用纵向数据将特定场合的方差与完全稳定的方差或随时间系统变化的方差隔离开来。在这些方法中，可靠的特定场合方差通常被视为测量误差，这将负偏倚的可靠性估计。在目前的研究中，面板数据和多变量潜在状态-特质模型被用来从随机误差中分离可靠的场合特异性方差，并估计单项生活满意度测量得分的可靠性。在四个具有全国代表性的小组研究中，总样本量超过68,000，当使用多变量模型而不是更标准的单变量纵向模型时，可靠性估计平均提高了16%。
Life satisfaction is often assessed using single-item measures. However, estimating the reliability of these measures can be difficult because internal consistency coefficients cannot be calculated. Existing approaches use longitudinal data to isolate occasion-specific variance from variance that is either completely stable or variance that changes systematically over time. In these approaches, reliable occasion-specific variance is typically treated as measurement error, which would negatively bias reliability estimates. In the current studies, panel data and multivariate latent state-trait models are used to isolate reliable occasion-specific variance from random error and to estimate reliability for scores from single-item life satisfaction measures. Across four nationally representative panel studies with a combined sample size of over 68,000, reliability estimates increased by an average of 16% when the multivariate model was used instead of the more standard univariate longitudinal model.
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影响因子：
5.9
作者：
KENNY, DA;ZAUTRA, A
通讯作者：
ZAUTRA, A
影响因子：
3.1
作者：
Schimmack, Ulrich;Lucas, Richard E.
通讯作者：
Lucas, Richard E.
影响因子：
3.1
作者：
Schimmack, Ulrich;Krause, Peter;Schupp, Juergen
通讯作者：
Schupp, Juergen
影响因子：
7
作者：
Biemer, Paul P.;Christ, Sharon L.;Wiesen, Christopher A.
通讯作者：
Wiesen, Christopher A.