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My research focuses on developing methods for evaluating within- and between-person differences in measurement models underlying participants' answers in longitudinal data

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Recent publications

  1. Evaluating covariate effects on ESM Measurement Model changes with La…

    Vogelsmeier, L. V. D. E., Vermunt, J. K., Bülow, A., & De Roover, K. (2022). Evaluating covariate effects on ESM Measurement Model changes with Latent Markov Factor Analysis: A three-step approach. Multivariate Behavioral Research.
  2. Latent Markov factor analysis - A mixture modeling approach for evalu…

    Vogelsmeier, L. V. D. E. (2022). Latent Markov factor analysis: A mixture modeling approach for evaluating within- and between-person measurement model differences in intensive longitudinal data. Ridderprint.
  3. Latent Markov latent trait analysis for exploring measurement model c…

    Vogelsmeier, L. V. D. E., Vermunt, J. K., Keijsers, L., & De Roover, K. (2021). Latent Markov latent trait analysis for exploring measurement model changes in intensive longitudinal data. Evaluation & the Health Professions, 44(1), 61-76.
  4. Continuous-time Latent Markov Factor Analysis for exploring measureme…

    Vogelsmeier, L. V. D. E., Vermunt, J. K., Böing-Messing, F., & De Roover, K. (2019). Continuous-time Latent Markov Factor Analysis for exploring measurement model changes across time. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 15(Suppl 1), 29–42.
  5. Latent Markov factor analysis for exploring measurement model changes…

    Vogelsmeier, L. V. D. E., Vermunt, J. K., van Roekel, E., & De Roover, K. (2019). Latent Markov factor analysis for exploring measurement model changes in time-intensive longitudinal studies. Structural Equation Modeling, 26(4), 557-575.

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