Program Overview

This program focuses on design and analysis of quantitative studies. Researchers typically begin with adopting appropriate study designs (e.g., experimental, quasi-experimental and observational study designs) for their research purpose. Researchers must verify that their measures are reliable and valid and may use analytic techniques like classical test theory or item response theory (IRT). Researchers submit their data to statistical techniques like analysis of variance (ANOVA), regression, structural equation modeling (SEM), and hierarchical linear model (HLM) to analyze the relationship among variables to answer their research questions.

See course descriptions in the course catalog.

Apply

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

How to Apply

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

  • Three letters of recommendation
  • Curriculum Vita
  • Official academic transcripts of all previous undergraduate and graduate work
    • Minimum undergraduate GPA of 3.0 from an accredited institution in psychology, education, statistics, or a related major.
  • Statement of purpose addressing the following:
    • Describe (1) your research interests that you hope to pursue in graduate school, (2) your career objectives, and (3) how being accepted into MU’s program will benefit your career aspirations.
    • Describe interests or experience in designing empirical studies and/or analyzing empirical data. (500 words max.)
    • Describe interest or 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 (preferred Verbal score > 151 and Quantitative score > 155).
    • Institution code is 6875.
  • TOEFL for international students (preferred score of 580 for paper test, 92 iBT, IELTS 6.5 or higher).
    • Institution code is 6875.