Publication: Measurement invariance analysis using multiple group confirmatory factor analysis and alignment optimisation
Measurement invariance analysis using multiple group confirmatory factor analysis and alignment optimisation
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Davidov, E., & Meuleman, B. (2019). Measurement invariance analysis using multiple group confirmatory factor analysis and alignment optimisation. In F. J. R. Van de Vijver, F. Avvisati, E. Davidov, M. Eid, N. Le Donné, J.-P. Fox, K. Lek, B. Meuleman, M. Paccagnella, & R. van de Schoot (Eds.), Invariance Analyses in Large-Scale Studies (No. 201; Issue 201, pp. 15–22). OECD Publishing. https://doi.org/10.1787/254738dd-en
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Abstract
Large-scale surveys such as the Programme for International Student Assessment (PISA), the Teaching and Learning International Survey (TALIS), and the Programme for the International Assessment of Adult Competences (PIAAC) use advanced statistical models to estimate scores of latent traits from multiple observed responses. The comparison of such estimated scores across different groups of respondents is valid to the extent that the same set of estimated parameters holds in each group surveyed. This issue of invariance of parameter est
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Citations
Davidov, E., & Meuleman, B. (2019). Measurement invariance analysis using multiple group confirmatory factor analysis and alignment optimisation. In F. J. R. Van de Vijver, F. Avvisati, E. Davidov, M. Eid, N. Le Donné, J.-P. Fox, K. Lek, B. Meuleman, M. Paccagnella, & R. van de Schoot (Eds.), Invariance Analyses in Large-Scale Studies (No. 201; Issue 201, pp. 15–22). OECD Publishing. https://doi.org/10.1787/254738dd-en