Bio

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

Courses

Recent publications

  1. A many-analysts approach to the relation between religiosity and well…

    Hoogeveen, S., Sarafoglou, A., Aczel, B., Aditya, Y., Alayan, A. J., Allen, P. J., Altay, S., Alzahawi, S., Amir, Y., Anthony, F-V., Appiah, O. K., Atkinson, Q. D., Baimel, A., Balkaya-Ince, M., Balsamo, M., Banker, S., Bartos, F., Becerra, M., Beffara, B., ... Wagenmakers, E-J. (Accepted/In press). A many-analysts approach to the relation between religiosity and well-being. Religion, Brain & Behavior.
  2. Evaluating covariate effects on ESM Measurement Model changes with La…

    Vogelsmeier, L. V. D. E., Vermunt, J. K., Bülow, A., & De Roover, K. (2023). Evaluating covariate effects on ESM Measurement Model changes with Latent Markov Factor Analysis: A three-step approach. Multivariate Behavioral Research.
  3. How to explore within‑person and between‑person measurement model dif…

    Vogelsmeier, L. V. D. E., Vermunt, J. K., & De Roover, K. (2023). How to explore within‑person and between‑person measurement model differences in intensive longitudinal data with the R package lmfa. Behavior Research Methods.
  4. 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.
  5. 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.

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