Examining the Cross-National Measurement Invariance of the Extended Satisfaction with Life Scale in the United States and Hungary
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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.
KeywordsLife satisfaction Extended satisfaction with life scale Measurement invariance Confirmatory factor analysis Cross-national
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Conflict of Interest
The authors declare that they have no conflict of interest.
- Amos Development Corporation. (2008). Amos version 17.0. Crawfordville, Florida: Author.Google Scholar
- Byrne, B. M. (2008). Testing for multigroup equivalence of a measuring instrument: A walk through the process. Psicothema, 20, 872–882.Google Scholar
- Chinni, M., & Hubley, A. M. (2014). A research synthesis of validation practices used to evaluate the satisfaction with life scale (SWLS). In B. D. Zumbo & E. K. H. Chan (Eds.), Validity and validation in social, behavioral, and health sciences (pp. 35–67). New York: Springer.Google Scholar
- De Neve, J. E., Diener, E., Tay, L., & Xuereb, C. (2013). The objective benefits of subjective well-being. In J. Helliwell, R. Layard, & J. Sachs (Eds.), World happiness report 2013 (pp. 1–35). New York: UN Sustainable Development Solutions Network.Google Scholar
- Diener, E., & Chan, M. Y. (2011). Happy people live longer: Subjective well-being contributes to health and longevity. Applied Psychology: Health and Well-Being, 3, 1–43.Google Scholar
- Earley, P. C. (1993). East meets West meets Mideast: Further explorations of collectivistic and individualistic work groups. Academy of Management Journal, 36, 319–348.Google Scholar
- Lazar, J., & Preece, J. (1999). Designing and implementing web-based surveys. Journal of Computer Information Systems, 39, 63–67.Google Scholar
- Twenge, J. M. (2014). Generation me (2nd ed.). New York: Simon & Schuster.Google Scholar
- Wood, E., Nosko, A., Desmarais, S., Ross, C., & Irvine, C. (2006). Online and traditional paper- and-pencil survey administration: Examining experimenter presence, sensitive material and long surveys. The Canadian Journal of Human Sexuality, 15, 147–155.Google Scholar