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Testing for Approximate Measurement Invariance of Human Values in the European Social Survey

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  • Jan Cieciuch
  • Eldad Davidov
  • René Algesheimer
  • Peter Schmidt

Abstract

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, that is, scalar measurement invariance, across groups is difficult. 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 21-item Portrait Value Questionnaire (PVQ-21) scale to measure values in the European Social Survey are presented ( N = 274,447 respondents from 15 countries participating in all six rounds). Applying the new approximate method for the test of measurement invariance allows both using more moderate constraints of approximate equality of parameters across groups and exploring the extent of noninvariance. Approximate measurement invariance was established in almost all rounds for two higher-order values: openness to change and self-enhancement. In the case of the two other higher-order values, self-transcendence and conservation, approximate measurement invariance was established across a subset of countries.

Suggested Citation

  • Jan Cieciuch & Eldad Davidov & René Algesheimer & Peter Schmidt, 2018. "Testing for Approximate Measurement Invariance of Human Values in the European Social Survey," Sociological Methods & Research, , vol. 47(4), pages 665-686, November.
    • Handle: RePEc:sae:somere:v:47:y:2018:i:4:p:665-686
    DOI: 10.1177/0049124117701478
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    References listed on IDEAS

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    1. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1998. "Assessing Measurement Invariance in Cross-National Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 78-90, June.
    2. Oberski, Daniel L., 2014. "Evaluating Sensitivity of Parameters of Interest to Measurement Invariance in Latent Variable Models," Political Analysis, Cambridge University Press, vol. 22(1), pages 45-60, January.
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