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  1. Using multiple imputation of latent classes to construct population c…

    Boeschoten, L., Scholtus, S., Daalmans, J., Vermunt, J., & de Waal, T. (2022). Using multiple imputation of latent classes to construct population census tables with data from multiple sources. Survey Methodology, 48(1), 119-144. http://www.statcan.gc.ca/pub/12-001-x/2022001/article/00008-eng.htm
  2. A new three-step method for using inverse propensity weighting with l…

    Clouth, F. J., Pauws, S., Mols, F., & Vermunt, J. K. (2022). A new three-step method for using inverse propensity weighting with latent class analysis. Advances in Data Analysis and Classification, 16(2), 351-371.
  3. Mixture multigroup factor analysis for unraveling factor loading noni…

    De Roover, K., Vermunt, J. K., & Ceulemans, E. (2022). Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groups. Psychological Methods, 27(3), 281-306.
  4. Does acquiescence disagree with Measurement Invariance testing?

    D'Urso, E. D., Tijmstra, J., Vermunt, J., & Roover, K. D. (2022). Does acquiescence disagree with Measurement Invariance testing? PsyArXiv Preprints.
  5. Scale length does matter - Recommendations for measurement invariance…

    D'Urso, E. D., Roover, K. D., Vermunt, J. K., & Tijmstra, J. (2022). Scale length does matter: Recommendations for measurement invariance testing with categorical factor analysis and item response theory approaches. Behavior Research Methods, 54(5), 2114-2145.

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