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Measurement equivalence of well-being in the European Social Survey (ESS)
Hanzlová, Radka ; Raudenská, Petra (advisor) ; Soukup, Petr (referee) ; Urbánek, Tomáš (referee)
This thesis focuses on measurement invariance of well-being as an important societal topic in large international comparative surveys, but also over time on national data from the Czech Republic. To be able to reliably compare the results of any research, the research must meet certain qualitative criteria, namely reliability, validity and, in the case of international research, comparability (equivalence), which is also the most neglected. Equivalence is most often compromised in attitudinal questions and scales, which is why this thesis focuses on one such concept - well-being. It focuses specifically on testing the multidimensional model of well- being from the 6th Round of the European Social Survey (ESS), and more precisely the "overall model of well-being" developed from it in the process of modification, as the analysis reveals that the ESS model is not appropriate. The equivalence of the overall model of well-being composed of 22 items divided into five dimensions across countries and over time, is tested using two methods: the traditional Multigroup Confirmatory Factor Analysis (MGCFA) as an example for testing exact measurement invariance (EMI) and the more recent alignment method for testing approximate measurement invariance (AMI). The results demonstrate the difficulty of achieving the...
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