She is an applied statistician in the areas of social statistics, biostatistics and psychometrics. Her research interests include missing data, multilevel modeling, longitudinal data analysis, and latent variable modeling. She is also involved in many collaborative projects in education, psychology, and medicine. Sophia's publications include 6 authored books, peer-reviewed articles in over 60 different journals, and 14 book chapters. Her h-index is 38 in the ISI Web of Science 56 in Google Scholar , meaning that her 38 most-cited papers have each been cited at least 38 times. The framework unifies and extends generalized linear mixed models, multilevel factor and item response models, multilevel structural equation models, and latent class models.
Department of Education and Psychology
Dissertation Prize - Psychometric Society
Dr Anna Brown is a psychometrician with an established reputation and extensive industry experience. Currently she is teaching psychological methods and conducting research in psychometrics at the School of Psychology. Previously, Anna taught short courses in applied psychometrics at the University of Cambridge, where she also conducted research focusing on modelling response biases in questionnaire data. Anna's industry experiences included research and test development at the research division of the UK largest occupational test publisher, SHL Group, where she had worked as Principal Research Statistician for many years. Anna's PhD research led to the development of the Thurstonian IRT model described as a breakthrough in scoring of forced-choice questionnaires, and received the 'Best Dissertation' award from the Psychometric Society. She uses latent variable models including Multidimensional Item Response Theory MIRT to model responses to typical performance tests including ipsative questionnaires, and to model response biases in self-report measures and in feedback reports to individuals and organisations.
Advancing Quantitative Methodology in the Behavioral Sciences
Email: fsamejim utk. Psychometric theory and methods; cognitive psychology; expanded item response theory; computer based research; cognitive diagnosis; information functions; graded response models; continuous response models. By bridging psychometric theory and methods with cognitive psychology using computer technologies, I have been involved in expanding item response theory latent trait models.