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Type Conference Presentation
Scope Discipline-based scholarship
Title Only approximately comparable: Results of approximate invariance testing of values across European countries across various rounds of the European Social Survey
Organization Unit
Authors
  • Jan Cieciuch
  • Eldad Davidov
  • Peter Schmidt
  • René Algesheimer
Presentation Type speech
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Event Title Meeting of the Working Group Structural Equation Modeling
Event Type conference
Event Location Zurich
Event Start Date April 7 - 2016
Event End Date April 8 - 2016
Abstract Text Measurement invariance is a necessary precondition for meaningful cross-country comparisons, and three levels have been differentiated: configural, metric, and scalar. Unfortunately, establishing the most stringent form, i.e., scalar measurement invariance, across groups is very difficult. This was also the case for human values in European Social Survey (ESS). As was shown by Davidov (Davidov, Schmidt, Schwartz, 2008; Davidov, 2008, 2010) mean values measured by PVQ-21 in the European Social Survey (ESS) could not be compared across all countries because scalar measurement invariance was not supported. Recently, Muthén and Asparouhov proposed testing for approximate rather than exact measurement invariance as this may be sufficient for meaningful comparisons. Following their strategy, the results of cross-country approximate measurement invariance tests of the PVQ-21 scale to measure values in ESS are presented (respondents from 15 countries participating in six rounds). Applying the new approximate method for the test of measurement invariance showed that although exact measurement invariance cannot be established, approximate measurement invariance is present for some values across subsets of countries. In particular, approximate measurement invariance was established in almost all rounds for self-enhancement (8 countries), self-transcendence (12 countries), and conservation (10 countries).
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