Estimating the Reliability of Single-Item Life Satisfaction Measures: Results from Four National Panel Studies |
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Authors: | Richard E Lucas M Brent Donnellan |
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Institution: | (1) Michigan State University, East Lansing, MI, USA |
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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. |
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Keywords: | |
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