Welcome!

I'm a researcher at the Leibniz Institute for Science and Mathematics Education in Kiel, Germany, focusing on quantitative methods in psychology and education. My research interests include missing data, multilevel modeling, and causal inference.

Below, you can find information about my recent work, including the most recent posts from my blog and about publications and software. For more, please visit the respective sections using the menu.

Recent Posts - Blog

Multiple imputation for three-level and cross-classified data

January 3, 2019 thumbnail image Multiple imputation (MI) of missing values in hierarchical data can be tricky when the data do not have a simple two-level structure. In such a case, understanding and accounting for the hierarchical structure of the data can be challenging, and tools to handle these types … [more]

Dealing with missing data in ANOVA models

June 25, 2018 thumbnail image The analysis of variance, or ANOVA, is among the most popular methods for analyzing how an outcome variable differs between groups, for example, in observational studies or in experiments with different conditions. But how do we conduct the ANOVA when there are missing data? … [more]

Hello, World!

May 27, 2018 This first post marks the launch of my website, with which I have been tinkering for some time now. From time to time, I will update the blog with new posts about topics related to quantitative psychology, statistical methods, R, Vim, and other things that interest me. So be … [more]

Recent Publications

Grund, S., Lüdtke, O., & Robitzsch, A. (2019). Missing data in multilevel research. In: Humphrey, S. E. & LeBreton, J. M. (Eds.), Handbook for multilevel theory, measurement, and analysis. Washington, DC: American Psychological Association doi: 10.1037/0000115-017 [Link]
Strobel, B., Grund, S., & Lindner, M. A. (2019). Do seductive details do their damage in the context of graph comprehension? Insights from eye movements. Applied Cognitive Psychology. doi: 10.1002/acp.3491 [Link]
Grund, S., Lüdtke, O., & Robitzsch, A. (2018). Multiple imputation of missing data at level 2: A comparison of fully conditional and joint modeling in multilevel designs. Journal of Educational and Behavioral Statistics, 43, 316-353. doi: 10.3102/1076998617738087 [Link]
…  [see all]

Software

mitml: Tools for multiple imputation in multilevel modeling [CRAN] [Github]