Our curriculum covers a broad spectrum of modern behavioral analytics: categorical data analysis, clustering, cognitive diagnosis, hierarchical linear models, latent trait theory, mathematical and computational models of judgment and choice, decision making, and information processing, multivariate analysis, psychometrics, psychological scaling, and structural equation modeling. Students are encouraged to broaden the scope of their education through coursework in neighboring disciplines such as applied statistics, computer science, operations research, educational evaluation and measurement.
All psychology depends on solid research and correctly interpreted results. Originally, psychology was considered a quasi-science because of the over reliance on theories and subjective observation. However, modern psychology now almost completely relies on statistical data and research to support theories.
The M.Ed. and Ph.D. Quantitative Methods specializations offer training in modern statistical and psychometric methods to prepare graduates to advance methodological research and to apply those methods to address educational and social science research questions. Our graduates are employed in academia, professional testing organizations, educational research and development agencies, industrial psychology agencies, governing agencies of higher education, state departments of education, and research and program evaluation divisions of large school districts.M.Ed.Ph.D.
Morizot, J., Ainsworth, A.T., & Reise, S.P. (2007). Toward modern psychometrics: Application of item response theory models in personality research. In R.W. Robins, R.C. Fraley, & R.F. Krueger (Eds.), Handbook of research methods in personality psychology (pp. 407-423). Guilford Press. 59ce067264