Quantitative methods in education (QME) track
2007 APA Award
The Department of Educational Psychology at the University of Minnesota was awarded the 2007 APA Innovative Practices in Graduate Education in Psychology Award for preparing doctoral students for academic positions which include teaching statistics. This program that prepares graduate students to become excellent teachers of statistics is the only program of its kind in the United States. Read more at "Statistically speaking, they are ahead of the curve."
Enjoy statistics and evaluation?
Want to put your skills to work in education?
Want to enjoy plenty of job prospects?
Want to gain experience while learning?
Consider an advanced degree in quantitative methods in education.
The quantitative methods in education (QME) track within educational psychology offers training in measurement, evaluation, statistics, and statistics education leading to the M.A. and Ph.D. degrees.
QME provides students with broad but rigorous methodological skills so graduates can conduct research on methodologies, help to train others in methodology, or conduct research in related fields. Graduates find a job market eager to employ people with these skills.
The QME track is affiliated with the psychological foundations of education track within the department of educational psychology.
QME track
- Quantitative methods in education at the U of M
- Admission (psych foundations or QME)
- Areas of concentration - curriculum
- Course descriptions
- Computing facilities
- Student handbook
- Educational psychology minor—emphasis in quantitative methods in education
QME community
- Meet the QME faculty
- Meet some current QME graduate students
- Recent colloquia and seminars
- Job opportunities for graduates: examples
- CATALST—Change Agents for Teaching and Learning Statistics
- Office of Research
Consultation and Services (ORCS)
QME is the home of the Office of Research Consultation and Services, where one or more graduate students supervised by QME faculty, provide assistance to students and faculty. - Other links of interest
MAI – for information regarding the Mathematical Attitude
Inventory developed by Wayne Welch please contact Professor Michael
Rodriquez, mcrdz@umn.edu