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This program awards a Doctor of Philosophy degree through the Department of Educational, School & Counseling Psychology, specializing in Statistics, Measurement & Evaluation in Education. The curriculum includes diverse courses in applied statistics, ranging from fundamental quantitative research methods to sophisticated techniques like multivariate analysis, hierarchical linear modeling, and latent variable modeling. Students can explore educational measurement through coursework in classical test theory, item response theory, and generalizability theory. The program further provides access to advanced statistical courses covering probability theory, sampling techniques, categorical data analysis, stochastic processes, time series analysis, Bayesian statistics, and other contemporary quantitative methods. Students gain proficiency with statistical software such as SPSS, SAS, R, Mplus, Amos, HLM, and BILOG-MG. Additional coursework includes learning theory, human development studies, and evaluation methodologies.
Each student's academic path is tailored to their professional objectives and research focus, developed in collaboration with their dissertation advisory committee.