Bio

I am an Assistant Professor with backgrounds in (work-& organizational) psychology and methodology and statistics. In my research, I generally work on improving (assessment of) measurement in intensive longitudinal data. More specifically, I develop methods to detect changes in response behavior in intensive longitudinal data (e.g., collected using experience sampling methodology). Such changes may be due to changes in response styles (e.g., careless responding) or due to changes in item interpretation. Modeling and understanding the dynamics of response behavior is substantively interesting as well as crucial for drawing valid conclusions.

Teaching

Next to my research, I coordinate the course Statistics & Methodology for the Data Science and Society Master at the Tilburg School of Humanities and Digital Sciences and am involved in graduate courses for modeling intensive longitudinal data for PhD students at the Tilburg School of Social and Behavioral Sciences.

Courses

Top publications

  1. Evaluating dynamics in affect structure with latent Markov factor ana…

    Vogelsmeier, L. V. D. E., Cloos, L., Kuppens, P., & Ceulemans, E. (2023). Evaluating dynamics in affect structure with latent Markov factor analysis. Emotion.
  2. When, how and for whom changes in engagement happen - A transition an…

    Saqr, M., López-Pernas, S., & Vogelsmeier, L. V. D. E. (2023). When, how and for whom changes in engagement happen: A transition analysis of instructional variables. Computers & Education, 207, Article 104934. Advance online publication.
  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, 55(5), 2387-2422.
  4. Assessing and accounting for measurement in intensive longitudinal st…

    Vogelsmeier, L. V. D. E., Jongerling, J., & Maassen, E. (2023). Assessing and accounting for measurement in intensive longitudinal studies: Current Practices, Considerations, and Avenues for Improvement.
  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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