Quantitative Methods in Education
Effects of school sport participation on academic, social functioning
Quantitative methods of education students in the MYDRG examined 2010 Minnesota Student Survey data and found 12th graders who participated in sports had higher GPAs, more favorable perceptions of school safety, and increased perceptions of family and teacher/community support. Learn more about the study, recently featured in Elsevier Connect.
Solve problems in education through research
Discover solutions to issues in educational research, assessment, and program evaluation through measurement, evaluation, and statistics. Upon graduation, you'll be equipped to help inform educational policy, practice, and curriculum and—most importantly—help schools and students succeed.
- Test publishing firms
- Teaching and research at colleges and universities (Ph.D. only)
- Research and evaluation centers
- Public school systems
- State departments of instruction
- Private industry
Dates & deadlines
Degrees & coursework
Areas of emphasis
Your curriculum requirements will depend on the degree (M.A. or Ph.D.) and area of emphasis you choose.
Measurement - Theory and methods of measuring important variables in education, including: achievement, attitude, and specialized cognitive and noncognitive variables
Statistics education- Understanding of statistics education and skills needed to conduct research applied to the teaching and learning of statistics
Program evaluation -Effectiveness of educational programs and education-related human services using a variety of quantitative and qualitative techniques
Statistics -The development and study of statistical theories and methods of data analysis that support and enhance efforts to understand the complex interplay between educational processes and student, family, school and community factors with the goal of improving educational outcomes such as student achievement
How to apply
"Statistics is a really powerful tool for solving educational and social problems. A blend of theory-based and technical classes and ample opportunities for applied research were the main reasons I joined the QME program."
Youngsoon KangPh.D. student | firstname.lastname@example.org
Interests: Profile analysis, educational aspiration of American Indian students, multidimensional factors impacting school violence
Work: Youngsoon is working on a theoretical paper regarding profile analysis, which aims to show how the two statistics, level and pattern, serve as meaningful predictors under difficult conditions. In addition, she examines youth development construct scores and higher non-response rates, to develop Native American students’ profiles assets and predict their educational aspirations.
Faculty & staff
Michael HarwellActing program coordinator, CEHD Distinguished Teaching Award
- Meta-analytic effect sizes and tests that extract information from a pool of studies beyond traditional measures
- The role and impact of conceptual and empirical models for socioeconomic status (SES)
- Nonparametric estimators and tests for complex statistical models particularly linear (mixed) models that serve as competitors to normal-theory-based methods
Michael RodriguezCampbell Leadership Chair in Education and Human Development, co-founding director of Educational Equity Resource Center
- Psychometric properties of tests
- Effects of item formats
- Use of constructed-response versus multiple choice
- Applied measurement
- Improving accessibility of assessment of students with disabilities and English language learners
Claudio Violato, assistant dean, Medical School | email@example.com
Ben Babcock, supervising senior psychometrician, American Registry of Radiologic Technologists
Adam Wyse, senior psychometrician, American Registry of Radiologic Technologists | firstname.lastname@example.org