Student learning is measured more than ever before, and that means that the education field needs professionals who have expertise in educational statistics and measurement.
You’ll find our graduates working in universities, state and federal agencies, test publishing organizations, school systems, state departments of education, marketing research companies and research centers, among other settings.
UWM’s Department of Educational Psychology offers a few options for students who are interested in specializing in educational statistics and measurement:
The Course Rotation Schedule (PDF) is intended to help you and your advisor plan your coursework schedule. Please consult the latest Graduate School Bulletin for course descriptions; you may also consult the UWM online schedule of classes for descriptions of courses offered during the current academic year.
Educational Statistics and Measurement faculty have expertise in educational measurement topics such as Item Response Theory, differential item functioning, and educational assessment, as well as in educational statistics topics such as general linear models including multiple regression, structural equation models and hierarchical linear models.
This program will provide you with the knowledge necessary to execute research and evaluate and critique existing research — a valuable asset whether you’re planning to put your skills to use in the workforce right away or go on to doctoral studies.
Why Choose Our Program?
After completing your master’s studies, you’ll be ready to:
- Participate in applied research projects
- Translate research findings for application in educational settings
- Design and build assessment instruments
- Assist professional educators with analyses and interpretations of data
Our graduates find work in a wide variety of settings, including state and federal agencies, test publishing organizations, school systems, state departments of education, marketing research companies and research centers.
Students are required to complete 30 credits for the master’s degree. You must complete 12 credits of core courses, which include 624, 724, 720, and 728; 6 credits in Learning and Development; and 12 elective credits, 6 of which must be in Educational Statistics and Measurement. Your program of study is developed in consultation with your assigned advisor. A full-time student can typically complete the program in two years.
In addition to course requirements, you must either complete a thesis or pass a final comprehensive examination.
This program is designed to provide you with the knowledge and experience necessary to research existing analytical techniques, as well as to develop and apply new methodologies in educational measurement and statistics. After completing your doctoral studies, you’ll be ready to independently conduct research; construct measurement instruments; translate sophisticated research findings; replicate research studies; contribute to the theory of research methodology; and teach basic courses in measurement, statistics, and research design.
Why Choose Our Program?
You’ll learn about:
- Standards and procedures for the development and use of psychological tests and measures
- Procedures for collecting and analyzing test data including classical test theory, generalizability theory, item response theory, skills diagnosis, and computer adaptive testing
- Procedures to develop and/or apply quantitative methods and advanced statistical models to educational data
- Advanced descriptive and inferential statistical techniques, including both traditional methods such as MANOVA and the general linear model and more modern methods such as structural equation modeling, longitudinal data analysis, and categorical data analysis
- Procedures to optimally design research studies in the social sciences, with a particular emphasis on issues related to urban educational research
Our graduates have gone on to work as university professors, at testing centers, and at Cooperative Educational Service Agencies in the state of Wisconsin.
Doctoral students are then required to take a preliminary examination, which measures each student’s mastery of coursework and relevant subject matter and indicates whether you are qualified to proceed with dissertation planning.
The final step of the program is a dissertation. The dissertation is a formal opportunity to complete independent scholarly research and demonstrate that you have mastered the tools of independent research.
Students are also encouraged to get involved in research with faculty. Because the current student/professor ratio is low (3:1), there is ample opportunity for students to participate in research.
UWM also has a membership with The Versatile Ph.D. “the largest online community dedicated to non-academic and non-faculty careers for PhD graduates.” This is a great resource for students who plan to pursue careers outside of academia.
Additional Program Information
The Educational Statistics and Measurement PhD Handbook (PDF) contains program information, sample course sequences, information on dual concentrations, full- and part-time plans, and other general information about the program.
Application Information – MS & PhD
Please pay close attention to the Educational Statistics and Measurement preferred deadlines. The program may consider applications submitted after these deadlines on a case by case basis, though we suggest you apply as early as possible. UWM’s Graduate School recommends students apply one year before they intend to start.
The program requires 3 letters of recommendation. These letters must be submitted through the application’s electronic recommendation feature by the recommenders themselves. Letters uploaded or sent by the applicant will not be accepted.
Questions about admissions?
Graduate Program Admissions Specialist
Office of Student Services
Advanced Opportunity Program (AOP) Fellowship
AOP application deadline for graduate students in Educational Psychology is January 22nd.
Students in Educational Psychology graduate programs are eligible for funding opportunities through the Graduate School. The Fellowships and AOP awards information can be found on the Graduate School Types of Funding webpage. Those applications are due in late January for internal ranking in the department. We then submit it to the Graduate School by their deadline in early February for the upcoming Fall term.