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Quantitative Psychology/Judgment and Decision Making
There are three areas of specialization within the quantitative program: (1) traditional quantitative methods, including multivariate quantitative methods and models, measurement theory, and model selection; (2) judgment and decision making, including modeling and experimental studies of human judgment and decision processes; (3) mathematical psychology, including development and application of mathematical models of psychlogical processes. Students can focus their studies in one area, or a combination. The program helps students develop and expand their mathematical, statistical, and computer skills, and encourages them to apply those skills to substantive areas in psychology. There is considerable flexibility to accommodate students with a variety of interests.

Faculty research includes quantitative methods such as covariance structure models, factor analysis, categorical data analysis, models of multilevel data, clustering, and multidimensional scaling; mathematical modeling of human judgment and decision processes, including axiomatic, algebraic, connectionist and stochastic approaches; and model selection methods.

Students, faculty, and prominent visiting scholars interact in weekly seminars. The area supports several microcomputer laboratories, including a judgment and decision making laboratory.

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