MA in Educational, School, and Counseling Psychology with Emphasis in Educational Research Methods and Analysis

Degree Requirements

The Educational Research Methods and Analysis program provides rigorous training in statistical methods, educational measurement, and research methodologies. We offer 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. Graduates from our program are prepared to make scientific and systematic inquiries and to make data-driven decisions, typically attaining employment positions at universities, research centers, and testing organizations. 

I. General Core Courses21
Statistics and Research15
Introduction to Applied Statistics
Overview of Research Methods
Foundations of Educational and Psychological Measurement
Qualitative Methods in Educational Research I
Quantitative Foundations in Educational Research
Human Diversity (Relevant Course)3
II. Research Methods Emphasis Area12
Courses in this area may vary. Possible courses include:
Application of Multivariate Analysis in Educational Research
Structural Equation Modeling
Hierarchical Linear Modeling
Item Response Theory
Seminar in Educational, School, and Counseling Psychology
ESC_PS 8860
Statistical Data Management and Analysis in Educational Research (course pending approval)
Educational Planning and Evaluation
Selected graduate level courses in the Psychology Department with advisor approval (e.g. latent variable models in statistical analyses, categorical data analysis)
Selected graduate level courses from the Statistics Department with advisor approval (e.g. Bayesian statistics, nonparametric statistics). NOTE: MA with thesis or manuscript, 6 hours of these courses must be ESC_PS 8090.

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Sample Plan of Study

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

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Thesis/Non-Thesis Requirements

The student will consult with the academic advisor and decide to complete a thesis or manuscript. After working with the academic advisor on developing a thesis or manuscript proposal, the student meets with the Master’s program committee to obtain approval of the written thesis or manuscript proposal. This happens before data collection begins. After the project is completed, the student submits a written thesis or manuscript and defends the thesis or manuscript to the Master’s program committee. The defense can occur only when MU is officially in session.

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Applicants are required to meet two sets of minimum qualifications for admission: the requirements of the MA in Educational and Counseling Psychology program and the minimum requirements of the Office of Graduate Studies.  Because requirements vary, you must refer to a degree program's graduate admission page to learn about specific admission criteria, application deadlines, eligibility and application process. Your application materials will be reviewed by both the Office of the Graduate Studies and the degree program to which you’ve applied before official admission to the University of Missouri.

Apply online by submitting the following documents using the MU Office of Graduate Studies application form by January 15th for the next Fall cohort.

  • Three letters of recommendation
  • Curriculum Vita
  • Official academic transcripts of all previous undergraduate and graduate work
    1. Minimum undergraduate GPA of 3.0 from an accredited institution in psychology, education, statistics, or a related major.
  • Statement of purpose addressing the following:
    1. Describe interests and/or experiences engaging in research, working with statistics, using measurement techniques and how these experiences have prepared you for graduate study. (500 word maximum)
    2. Describe (1) your research interests that you hope to pursue in graduate school; (2) how these interests match those of specific faculty; (3) your career objectives; and (4) how being accepted into MU’s program will benefit your career aspirations. (Please limit to 500 words)
  • Official Graduate Record Examination (GRE) scores (preferred combined Verbal and Quantitative score of 300 or higher)
  • TOEFL for international students (preferred score of 580 for paper test, 92 iBT, IELTS 6.5 or higher)

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