We are Tilburg University
dr. Kim De Roover
Assistant Professor
TSB: Tilburg School of Social and Behavioral Sciences
TSB: Department of Methodology
K.DeRoover@tilburguniversity.edu
Room
S 706
Courses
- Introduction to Data Science
- Correlational Research Methods 2
- Applied Methods and Statistics
- Applied Methods and Statistics
Recent publications
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Detecting which variables alter component interpretation across multi…
Gvaladze, S., De Roover, K., Tuerlinckx, F., & Ceulemans, E. (2020). Detecting which variables alter component interpretation across multiple groups: A resampling-based method. Behavior Research Methods, 52(1), 236-263. -
Revealing subgroups that differ in common and distinctive variation i…
Yuan, S., De Roover, K., Dufner, M., Denissen, J., & Van Deun, K. (Accepted/In press). Revealing subgroups that differ in common and distinctive variation in multi-block data: Clusterwise sparse simultaneous component analysis. Social Science Computer Review. -
On the exploratory road to unraveling factor loading non-invariance -…
De Roover, K., & Vermunt, J. K. (2019). On the exploratory road to unraveling factor loading non-invariance: A new multigroup rotation approach. Structural Equation Modeling, 26(6), 905-923. -
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. -
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.