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.
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
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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?
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