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Estimating the Reliability of Single-Item Life Satisfaction Measures: Results from Four National Panel Studies

Type of publication Peer-reviewed
Publikationsform Original article (peer-reviewed)
Publication date 2012
Author Lucas Richard E., Donnellan Brent M.,
Project SWISS HOUSEHOLD PANEL - 2012 - 2013
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Original article (peer-reviewed)

Journal Social Indicators Research
Volume (Issue) 105(3)
Page(s) 323 - 331
Title of proceedings Social Indicators Research

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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