Members of the Quantitative Division specialize in a variety of research areas involving measurement, behavioral statistics, mathematical modeling, psychometrics, methodology, and neuroimage analysis. The emphasis in the Division is on acquiring exceptionally broad and strong methodological, computational, and statistical skills, as well as focusing on a specialization domain chosen by the student, working closely with one, or more, faculty members. Faculty members and students in the Quantitative Division have research interests and collaborations that overlap with those in every other Division in the Department. Consequently, the students' specialization areas often involve substantive applications of quantitative approaches to testing, cognitive psychology, decision making, social psychology, biological psychology, neurocognition or other domains.
The division offers a large array of graduate courses that cover the field of quantitative psychology in an exceptionally comprehensive manner. Students develop a specialized course of study designed to provide expertise in their particular areas of interest, but also acquire breadth in the field through coursework outside the Division and the Department, and through interdisciplinary collaborations. All students complete a first year project that is presented to the faculty at a weekly research seminar attended by all students and faculty in the Division. Most students also complete a MS in Applied Statistics. By the end of the fourth year, students will have completed the Comprehensive Examinations as well as the majority of their course work. The remaining years in the program are devoted to completing a dissertation, publishing data collected earlier, and prepare for a career in academia, industry, or government service.
Facilities and Resources
The facilities associated with the division are superlative. Every faculty member has substantial laboratory space in the Psychology Department dedicated to his or her research program. Students have access to a vast array of state of the art technologies and methodologies as well as a high end computing environment. The division has its own computational laboratory and reading room. A special fund provides students resources to attend professional conferences and workshops.
Affiliated Departments, Programs, and Institutes
Many members of the Quantitative Division have appointments in the Statistics and Educational Psychology departments. Quantitative faculty and students routinely collaborate with faculty members in these, as well as other (e.g., Political Science, Speech and Hearing), departments and research institutes on campus.
Quantitative Division Faculty
Hua-Hua Chang, Professor
Psychometric theory, computerized adaptive testing, cognitive diagnosis, large scale assessment, and test equity.
Office: Room 430 | (217) 244-5194 | firstname.lastname@example.org
Hans-Friedrich Koehn, Assistant Professor
Combinatorial data analysis of individual differences based on multiple proximity matrices observed from different data sources (e.g., subjects, experimental conditions, time points); Large-scale nonmodel-based clustering, with particular focus on the p-median model; Nonmodel-based clustering techniques as computational heuristics for fitting (constrained latent class) cognitive diagnosis models; Combinatorial optimization algorithms as tools for test assembly and item selection.
Office: Room 425 | | email@example.com
MIchel Regenwetter, Professor
Behavioral Social Choice; Probabilistic Measurement Theory; Mathematical Models of Individual and Collective Decision Making; Axiom Testing in Decision Making by Individuals, Groups and Electorates; Distribution-Free Random Utility Theory.
Office: Room 435 | (217) 333-0763 | firstname.lastname@example.org
Michelle Yongmei Wang, Associate Professor
Structural and functional neuroimage analysis and measurement; Statistical inference, modeling, and learning for biomedical imaging and computation with applications to neuroscience; Analysis and modeling of fMRI time series; Multi-modal integration of neuroimaging data.
Office: Room 427 | (217) 244-2694 | email@example.com
Lawrence J. Hubert, Lyle H. Lanier Professor of Psychology, Professor of Statistics & Educational Psychology (Emeritus)
Data analysis methods in psychology and the behavioral sciences generally with particular emphasis on representation techniques; strategies of combinatorial data analysis including exploratory optimization approaches and confirmatory nonparametric methods.
Office: Room 433 | (217) 333-6593 | firstname.lastname@example.org
Affiliates from Other Departments
Carolyn J. Anderson, Educational Psychology Department
(217) 333-6819 | email@example.com
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