Psychometric Properties and Measurement Invariance of the LIVES Daily Hassles Scale in Chinese Samples

Abstract

Daily hassles have a larger effect on our health and well-being than those major events in daily life. The present study aimed to evaluate the psychometric properties and measurement invariance of the LIVES Daily Hassles Scale (LIVES-DHS) in Chinese samples, which consisted of 815 people at work aged between 20 and 60 years old. The results of both Explanatory Factor Analysis and Confirmatory Factor Analysis showed that the five-factor model solution was better than other solutions, which supported the original structure of LIVES-DHS. The Cronbach’s alpha coefficients of the five subdimensions varied between.721 and.818, with the entire scale of.920, and McDonald’s $ω$ values of the five subdimensions varied between.716 and.821, with the entire scale of.936. The results also showed the support for measurement invariance of the five-factor model across different groups, which is the first to offer evidence for configural, metric, scalar and strict invariance of LIVES-DHS across gender, age and educational groups.

Keywords

daily hassles psychometric properties reliability original structure measurement invariance

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