Esther Ulitzsch
Dr. phil., M.Sc. Psych.
Educational Measurement and Data Science
Education
| 2020 |
Doctorate in Psychology, Free University of Berlin |
| 2016 |
Master‘s degree in Psychology, Free University of Berlin |
| 2014 |
Bachelor‘s degree in Psychology, Humboldt University of Berlin |
| 2009 - 2014 |
Studies in Psychology, Humboldt University of Berlin, Free University of Berlin, Moscow State University |
Professional Activity
| 2020-present |
Research Scientist, IPN – Leibniz Institute for
Science and Mathematics Education |
| 2016 - 2020 |
Research Scientist and Doctoral Candidate, Methods and Evaluation/Quality Assurance, Department of Education and Psychology, Free University of Berlin |
Research Interests
|
Item response modeling |
|
Process data |
|
Missing values |
Current Projects
|
Using process data for understanding test-taking behavior in large-scale assessments |
Selected Publications
|
Ulitzsch, E., Robitzsch, A., & Lüdtke, O. (2021). Alleviating estimation problems in small sample structural equation modeling - A comparison of constrained maximum likelihood, Bayesian estimation, and fixed reliability approaches. Psychological Methods. doi: 10.1037/met0000435 |
|
Ulitzsch, E. Pohl, S., Khorramdel, L., Kroehne, U., & von Davier, M. (2021). A response-time-based latent response mixture model for identifying and modeling careless and insufficient effort responding in survey data. Psychometrika. doi: 10.1007/s11336-021-09817-7 |
|
Ulitzsch, E., He, Q., & Pohl, S. (2021). Using sequence mining techniques for understanding incorrect behavioral patterns on interactive tasks. Journal of Educational and Behavioral Statistics, 47(1), 3-35. doi: : 10.3102/10769986211010467 |
|
Pohl, S., Ulitzsch, E. , & von Davier, M. (2021). Reframing rankings in educational assessment. Science, 372 (6540), 338-340. doi: 10.1126/science.abd3300 |
|
Ulitzsch, E., von Davier, M., & Pohl, S. (2019). A hierarchical latent response model for inferences about examinee engagement in terms of guessing and item-level nonresponse. British Journal of Mathematical and Statistical Psychology. doi: 10.1111/bmsp.12188 |
