Dr. Kristian Kleinke

Research interests: Missing data & multiple imputation, SEM, insbesondere Modelle für Längsschnitts- und Paneldaten

Sprechstunde: Nach Vereinbarung

E-Mail: kristian.kleinke@uni-siegen.de

ORCID: https://orcid.org/0000-0003-2007-6128

Curriculum Vitae

Selected publications: 

Kleinke, K., Schlüter, E., & Christ, O. (2017). Strukturgleichungsmodelle mit Mplus – eine praktische Einführung (2. Auflage). München: Oldenbourg.

Kleinke, K. (2018). Multiple imputation by predictive mean matching when sample size is small. Methodology, 14, 3-15.

Beblo, T., Pelster, S., Schilling, C., Kleinke, K., Iffland, B., Driessen, M., & Fernando,S. (2017). Breath versus emotions: The impact of different foci of attention during mindfulness meditation on the experience of negative and positive emotions. Behavior Therapy. Advance online publication. doi: 10.1016/j.beth.2017.12.006

Kleinke, K. (2017). Multiple imputation under violated distributional assumptions – A systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioural Statistics, 42(4), 371–404.

Kleinke, K., & Reinecke, J. (2013). Multiple imputation of incomplete zero-inflated count data. Statistica Neerlandica, 67(3), 311–336.

Kleinke, K., Stemmler, M., Reinecke, J., & Lösel, F. (2011). Efficient ways to impute incomplete panel data. Advances in Statistical Analysis, 95(4), 351–373.