Program Overview

The Statistics, Measurement, and Evaluation in Education program offers several courses in applied statistics, from the quantitative foundations of educational research to advanced methods such as multivariate statistics, multilevel modeling, and latent variable modeling. We also offer a number of courses in educational measurement, covering topics such as in classical test theory, item response theory, and generalizability theory. In addition, our students have the opportunity to take a wide range of advanced statistics and quantitative methods courses, from probability, sampling methodology, and categorical data analysis to stochastic theory, time series analysis, Bayesian statistics, and other cutting-edge quantitative techniques. We train our students in various statistical software programs including SPSS, SAS, R, Mplus, Amos, HLM, and BILOG-MG. Our students also take courses in learning theories, aspects of human development, and program evaluation.

The plan of study will depend on the student’s career goals and research interests, and they should be completed in consultation with the doctoral dissertation committee.

See the course catalog and our program planner for more information.

Apply

Applicants are required to meet two sets of minimum qualifications for admission:

Submit the following documents using the MU Office of Graduate Studies application by Jan. 15 for the next fall cohort.

  • The three letters of recommendation
  • CV/resume
  • Unofficial academic transcripts of all previous undergraduate and graduate work
    • Minimum undergraduate GPA of 3.0 from an accredited institution in psychology, education, or a related major.
  • Statement of purpose addressing the following:
    • Describe your research interests that you hope to pursue in graduate school, your career objectives, and how being accepted into MU’s program will benefit your career aspirations. (500 words max.).
    • Describe your experiences in educational measurement, assessment, or evaluation. (250 words max.).
    • Describe interests and experience in designing empirical studies. Briefly describe why you have chosen particular research designs to answer the research questions. (250 words max.)
    • Describe interests and experience in analyzing empirical data. Briefly describe why you have chosen particular statistical models to answer the research questions. (250 words max.)
    • Describe experiences that demonstrate your potential in applied, theoretical, and/or computational statistics, that you believe distinguish you as a candidate for graduate study. (250 words max.)
  • Official Graduate Record Examination (GRE) scores
    • Tests taken within the last 5 years should have a combined verbal and quantitative score of 305.
    • Institution code: 6875
  • TOEFL for international students (preferred score of 580 for paper test, 92 iBT, IELTS 6.5 or higher).
    • Institution code: 6875