New publication
8 September 2026, by Marcella Dudley
A new research article by Mark Lustig, Oliver Lüdtke, Alexander Robitzsch and Simon Grund has been published in Multivariate Behavioral Research.
In this article, Mark and his coauthors investigate flexible, assumption-light methods for handling missing values in longitudinal designs and show that dimension-reduction techniques can help facilitate the use of such methods in complex applications with many variables.
Lustig, M., Lüdtke, O., Robitzsch, A., & Grund, S. (2026). Flexible Multiple Imputation of Missing Data in Time-Structured Longitudinal Designs. Multivariate Behavioral Research, 1–20. https://doi.org/10.1080/00273171.2026.2710728