
Alexander Robitzsch
Dr. phil., Dipl.-Math.
Educational Measurement
Contact
phone | +49-(0)431-880-3487 |
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address | Olshausenstraße 62, D-24118 Kiel |
room | 37 |
Education
2015 | Doctorate in Educational Research, Humboldt-Universität zu Berlin |
2003 | First State Examination for Secondary School Teachers (Subjects Mathematics and Chemistry), Technische Universität Dresden |
2003 | Diplom (Ger.) in Mathematics, Technische Universität Dresden |
Professional Activity
since 2015 | Research Scientist, IPN - Leibniz Institute for Science and Mathematics Education |
2009 - 2015 | Measurement Statistician, Federal Institute for Education Research, Innovation and Development of the Austrian School System (BIFIE), Salzburg |
2005 - 2009 | Research Scientist, Institute for Educational Quality Improvement (IQB), Berlin |
2003 - 2005 | Research Scientist, Institute of General Education, Technische Universität Dresden |
Research Interests
National and international large-scale assessment |
Item response modeling |
Missing data, multiple imputation |
Multilevel analysis |
Selected Publications
George, A. C., Robitzsch, A., Kiefer, T., Ünlü, A., & Groß, J. (2016). The R package CDM for cognitive diagnosis models. Journal of Statistical Software, 74(2), 1-24. |
Robitzsch, A., Dörfler, T., Pfost, M., & Artelt, C. (2011). Die Bedeutung der Itemauswahl und der Modellwahl für die längsschnittliche Erfassung von Kompetenzen: Lesekompetenzentwicklung in der Primarstufe. Zeitschrift für Entwicklungspsychologie und pädagogische Psychologie, 43, 213-227. |
Robitzsch, A. (2009). Methodische Herausforderungen bei der Kalibrierung von Leistungstests. In A. Bremerich-Vos, D. Granzer & O. Köller (Hrsg.). Bildungsstandards Deutsch und Mathematik (S. 42-106). Weinheim: Beltz Pädagogik. |
Robitzsch, A. & Rupp, A. A. (2009). The impact of missing data on the detection of differential item functioning. Educational Psychological Measurement, 69, 18-34. |
Lüdtke, O., Marsh, H.W., Robitzsch, A., Trautwein, U., Asparouhov, T. & Muthén, B. (2008). The multilevel latent covariate model: A new, more reliable approach to group-level effects in contextual studies. Psychological Methods, 13, 203-229. |
Publications in the research information system
all publications recorded in PURE |