Publications

Articles

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]
Grund, S., Lüdtke, O., & Robitzsch, A. (2018). Multiple imputation of missing data for multilevel models: Simulations and recommendations. Organizational Research Methods, 21, 111-149. doi: 10.1177/1094428117703686 [Link]
Lindner, M. A., Lüdtke, O., Grund, S., & Köller, O. (2017). The merits of representational pictures in educational assessment: Evidence for cognitive and motivational effects in a time-on-task analysis. Contemporary Educational Psychology, 51, 482-492. doi: 10.1016/j.cedpsych.2017.09.009 [Link]
Lüdtke, O., Robitzsch, A., & Grund, S. (2017). Multiple imputation of missing data in multilevel designs: A comparison of different strategies. Psychological Methods, 22, 141-165. doi: 10.1037/met0000096 [Link]
Grund, S., Lüdtke, O., & Robitzsch, A. (2016). Pooling ANOVA results from multiply imputed datasets: A simulation study. Methodology, 12, 75-88. doi: 10.1027/1614-2241/a000111 [Link]
Grund, S., Lüdtke, O., & Robitzsch, A. (2016). Multiple imputation of multilevel missing data: An introduction to the R package pan. SAGE Open, 6(4), 1-17. doi: 10.1177/2158244016668220 [Link] [arXiv]
Grund, S., Lüdtke, O., & Robitzsch, A. (2016). Multiple imputation of missing covariate values in multilevel models with random slopes: A cautionary note. Behavior Research Methods, 48, 640-649. doi: 10.3758/s13428-015-0590-3 [Link] [arXiv]

Book chapters

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]