Rate My Professor Esther Ulitzsch

In 2024, Ulitzsch received the Jason Millman Promising Measurement Scholar Award from the National Council on Measurement in Education for her cutting-edge, innovative work addressing methodological and real-life measurement issues. Her contributions to psychometrics are evidenced by highly cited publications, including 'A hierarchical latent response model for inferences about examinee engagement in terms of guessing and item-level non-response' (2020, British Journal of Mathematical and Statistical Psychology), 'A response-time-based latent response mixture model for identifying and modeling careless and insufficient effort responding in survey data' (2022, Psychometrika), 'Using sequence mining techniques for understanding incorrect behavioral patterns on interactive tasks' (2022, Journal of Educational and Behavioral Statistics), 'An explanatory mixture IRT model for careless and insufficient effort responding in self-report measures' (2022, British Journal of Mathematical and Statistical Psychology), and 'Dynamic changes in metacognitive mechanisms and symptoms during the attention training technique: Insights from ecological momentary assessment' (2026, Journal of Anxiety Disorders). These works advance detection of response engagement and enhance measurement accuracy in educational assessments and surveys. Ulitzsch serves as Head of Studies at CEMO.