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Recente publicaties

  1. 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.
  2. 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.
  3. 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.
  4. Prediction of recovery in trauma patients using Latent Markov models

    Havermans, R. J. M., Clouth, F. J., Lansink, K. W. W., Vermunt, J. K., de Jongh, M. A. C., & de Munter, L. (2022). Prediction of recovery in trauma patients using Latent Markov models. European Journal of Trauma and Emergency Surgery.
  5. The spatial representation of consumer dispersion patterns via a new …

    Kim, S., Blank, A. S., DeSarbo, W. S., & Vermunt, J. K. (Accepted/In press). The spatial representation of consumer dispersion patterns via a new multi-level latent class methodology. Journal of Classification.

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