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Sophia Rabe-Hesketh

Professor *
Ph.D., King's College, University of London, Theoretical Physics

Sophia Rabe-Hesketh is a statistician whose research interests include multilevel/hierarchical modeling, item response theory, longitudinal data analysis, and missing data. She has over 100 peer-reviewed articles in over 60 different journals including PsychometrikaJournal of EconometricsBiometricsJournal of the Royal Statistical Society, Series A, with an h-index of 58 in Google Scholar. She has developed a modeling framework for a wide range of multilevel and latent variable models called GLLAMM (Generalized Linear Latent and Mixed Modeling) and written a publicly available software package called gllamm (http://www.gllamm.org/) to estimate these models. The theory of these models is published in Generalized Latent Variable Modeling, co-authored with Anders Skrondal. Since 2002, her gllamm software has been used in over 1000 peer-reviewed papers in over 700 different journals by researchers in education, sociology, political science, economics, medicine, and statistics.

Sophia Rabe-Hesketh was elected to the National Academy of Education in 2015 and was President of the Psychometric Society in 2014-2015. She is a member of the Design and Analysis Committee for the National Assessment of Educational Progress (NAEP) and of the Techincal Advisory Group for the Program for International Student Assessment (PISA). She has been Associate Editor for Psychometrika among others and served on Editorial Boards for Journal of Educational and Behavioral StatisticsPsychological Methods, and others.

Sophia Rabe-Hesketh is also a member of the Interdepartmental Group in Biostatistics at the University of California, Berkeley. She was previously Professor of Social Statistics at the Institute of Education, University of London.

See ISI Web of Science and Google scholar for lists of publications and citations.

Contact Info
Office: 
4329 Tolman Hall
Phone: 
(510) 642-5287
Email: 
sophiarh@berkeley.edu
Staff Contact: 

Research