معرفی
Elizabeth Pankratz is a Lecturer in Psychology (Statistics) at the University of Edinburgh's Department of Psychology within the College of Humanities and Social Science. She specializes in teaching statistical methods for psychological research and maintains active contributions to computational research tools through GitHub repositories.
Her research focuses on psycholinguistics and statistical learning mechanisms in language acquisition, with particular emphasis on rule formation, segmentation, and generalization processes. Current work investigates how frequency distributions facilitate linguistic rule generalization and the role of production in morphosyntactic learning. Her methodological approach combines
- computational modeling
- experimental paradigms like serial reaction time tasks
- corpus analysis
- simulation-based hypothesis testing
Analysis of her 15 most recent publications reveals strong interdisciplinary connections between cognitive science, linguistics, and statistical methodology. Key trends include the investigation of scalar inferences under cognitive load, cross-linguistic register analysis, and computational approaches to coreference resolution in indigenous languages. Her work frequently employs simulation methods to formalize null hypotheses in cognitive science research.
Pankratz has developed technical resources including a jsPsych 7 plugin for gathering serial reaction times to audio stimuli, demonstrating her integration of programming skills with experimental psychology. Her GitHub activity shows consistent contributions through 2025, including development of lecture materials and data playgrounds for statistical courses.
