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.
January 3, 2019
![thumbnail image](/posts/multiple-imputation-for-three-level-and-cross-classified-data_files/figure-html/thumbnail-1.png)
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]
tags:
[r]
[missing data]
[multiple imputation]
[multilevel]
June 25, 2018
![thumbnail image](/posts/anova-with-multiply-imputed-data-sets_files/figure-html/thumbnail-1.png)
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]
tags:
[r]
[missing data]
[multiple imputation]
[anova]
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]
tags:
[news]
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]
… [see all]