Publication: Explaining Measurement Nonequivalence Using Multilevel Structural Equation Modeling: The Case of Attitudes Toward Citizenship Rights
Explaining Measurement Nonequivalence Using Multilevel Structural Equation Modeling: The Case of Attitudes Toward Citizenship Rights
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Davidov, E., Dülmer, H., Cieciuch, J., Kuntz, A., Seddig, D., & Schmidt, P. (2018). Explaining Measurement Nonequivalence Using Multilevel Structural Equation Modeling: The Case of Attitudes Toward Citizenship Rights. Sociological Methods & Research, 47, 729–760. https://doi.org/10.1177/0049124116672678
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It is necessary to test for equivalence of measurements across groups to guarantee that comparisons of regression coefficients or mean scores of a latent factor are meaningful. Unfortunately, when tested, many scales display non-equivalence. Several researchers have suggested that non-equivalence may be used as a useful source of information as to why equivalence is biased and proposed employing a multilevel structural equation modeling (MLSEM) approach to explain why equivalence is not given. This method can consider a latent between
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- Davidov, Eldad
- Dülmer, Hermann
- Kuntz, Anabel
- Seddig, Daniel
- Schmidt, Peter
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Davidov, E., Dülmer, H., Cieciuch, J., Kuntz, A., Seddig, D., & Schmidt, P. (2018). Explaining Measurement Nonequivalence Using Multilevel Structural Equation Modeling: The Case of Attitudes Toward Citizenship Rights. Sociological Methods & Research, 47, 729–760. https://doi.org/10.1177/0049124116672678
