Examining the Cross-National Measurement Invariance of the Extended Satisfaction with Life Scale in the United States and Hungary

James B. Hittner (), Rhonda Swickert, N. Clayton Silver, Krisztina Hevesi and Zsuzsanna Kövi
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James B. Hittner: College of Charleston
Rhonda Swickert: College of Charleston
N. Clayton Silver: University of Nevada
Krisztina Hevesi: Eötvös Loránd University
Zsuzsanna Kövi: Károli Gáspár University of the Reformed Church

Applied Research in Quality of Life, 2018, vol. 13, issue 3, No 1, 527-544

Abstract: Abstract The measurement invariance properties of four domains from the Extended Satisfaction with Life Scale (ESWLS) were examined in samples of young adults from the United States and Hungary. The four domains (scales) were general life satisfaction, social life satisfaction, family life satisfaction, and satisfaction with one’s self. For both countries, confirmatory factor analyses supported a correlated four-factor model, with each ESWLS domain constituting a single independent factor. Multigroup invariance testing provided support for both configural invariance and metric invariance, suggesting that across the U.S. and Hungarian samples the four ESWLS scales evidenced the same pattern of factor loadings as well as largely equivalent regression weights. These results suggest that respondents in both countries attributed the same meaning to the ESWLS constructs and that associations between the four ESWLS scales and other variables can be meaningfully compared across the two nations. Latent factor analyses indicated that with the exception of the correlation between general- and self-satisfaction, which was higher for the U.S., the magnitudes of the correlations between ESWLS domains were similar for the U.S. and Hungary. Possible explanations for the lack of measurement invariance across all of the nested models (i.e., item intercepts through residuals) are discussed.

Keywords: Life satisfaction; Extended satisfaction with life scale; Measurement invariance; Confirmatory factor analysis; Cross-national (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11482-017-9542-7

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