This degree is part of the Statistics, Measurement & Evaluation in Education program, housed in the Department of Educational, School and Counseling Psychology.
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.
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.
For a sample plan of study and course listing, go to the course catalog.
Applicants are required to meet two sets of minimum qualifications for admission:
- the requirements of the PhD in educational, school and counseling psychology program
- the minimum requirements of the Office of Graduate Studies
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
- 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 on or after Aug. 1, 2011 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