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• W2051433150 abstract "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." @default.
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• W2051433150 date "2011-01-13" @default.
• W2051433150 modified "2023-10-16" @default.
• W2051433150 title "Estimating the Reliability of Single-Item Life Satisfaction Measures: Results from Four National Panel Studies" @default.
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• W2051433150 doi "https://doi.org/10.1007/s11205-011-9783-z" @default.
• W2051433150 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3475500" @default.
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