Quantitative Psychology Training Area

The goal of the graduate program in Quantitative Psychology is to produce researchers who are able to develop, evaluate, and apply advanced methodological techniques to psychological research questions. The program offers considerable diversity in faculty research and coursework offerings; our substantive interests span clinical, social, health, developmental, and cognitive psychology. Quantitative areas of expertise cover a range of linear and non-linear approaches to modeling, as well as meta-analysis, time series, state-space models, and issues in large scale data management.

Coursework

Students in the Quantitative program complete coursework in mathematical statistics, experimental design, and measurement, as well as courses in quantitative methods both within the psychology department and in other departments on campus. Program requirements are fairly flexible, and students with particular interests a substantive area of Psychology are encouraged to take advanced courses in that area. Quantitative course offerings focus both on classic analytic methods as well as advanced techniques such as structural equation modeling, multilevel modeling, and meta-analysis. Strong ties exist between the departments of Psychology and Statistics, and students may opt to complete a Masters Degree in Statistics as they progress through the Quantitative program. In addition, students trained in the program will have the opportunity to gain experience as statistical consultants through specific coursework in this area.

Research

The University of Missouri-Columbia is a Research I institution, and faculty are strongly committed to the research mission. Students in the quantitative program work with faculty on research projects throughout their graduate tenure. Research laboratories are well equipped with computational resources, including state-of-the-art UNIX workstations and high-end PCs equipped with statistical software packages. Ongoing projects conducted by the faculty include research in meta-analytic and secondary analysis techniques, structural equation modeling, particularly as applied to longitudinal models of change and growth, multilevel modeling, and mathematical and statistical models of cognition and perception. Faculty research is often supported though federal grants and other extramural sources.

See the Graduate Program for more information.

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Department of Psychological Sciences 210 McAlester Hall Columbia, MO 65211-2500 phone: 573-882-6860 fax: 573-882-7710 email: SkylesB@missouri.edu Graduate Program: 573-882-0838 or gradpsych@missouri.edu