Abstract
This paper emphasises the importance of assessing measurement equivalence when using cross-national and longitudinal surveys. We illustrate how to test for measurement equivalence using multi-group confirmatory factor analysis (MGCFA) and clarify under what conditions both meaningful comparisons of construct means and relationships between constructs are possible. Using data from the International Social Survey Program, empirical applications dealing with attitudes towards welfare policies are provided to illustrate the procedure.
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