Quantitative methods in education faculty
Nana Kim Nana Kim
- Assistant professor
- she, her
- nkim530@umn.edu
My research interests primarily lie in the development and application of statistical models, such as item response theory (IRT) models, with the goal of better understanding how students/respondents interact with test items and consequently…
Nidhi Kohli Nidhi Kohli
- Royal and Virginia Anderson Professor of Quantitative Methods in Education; quantitative methods in education program coordinator
- 612-624-9001
- nkohli@umn.edu
I am passionate about the science and application of educational statistics. My expertise spans a range of advanced methodological techniques, including factor analytic models, structural equation models, and various longitudinal data analysis…
Chelsey Legacy Chelsey Legacy
- Teaching assistant professor
- she, her, hers
- legac006@umn.edu
My research interests are in teaching and learning statistics. In particular, I study multivariate thinking, visualization, and computing in statistics and data science courses.
Haoran Li Haoran Li
- Assistant Professor
- haoranli@umn.edu
I am currently accepting doctoral students in the Quantitative Methods in Education (QME) program.
Suzanne Loch Suzanne Loch
- Senior teaching specialist
- 626-8250
- chova001@umn.edu
Working with students one-on-one to help them grasp concepts or move past fears generated by the mathematical content of a statistics course is highly rewarding for me.
Wenchao Ma Wenchao Ma
- Associate professor, the American Guidance Service Inc. and John P. Yackel Professor in Educational Assessment and Measurement
- He, him
- wma@umn.edu
I am currently accepting doctoral students in the Quantitative Methods in Education (QME) program. Students with research interests that align with mine are encouraged to apply.
Michael Rodriguez Michael Rodriguez
- CEHD Dean; Campbell Leadership Chair in Education and Human Development; and professor
- 612-624-5761
- mcrdz@umn.edu
I focus much of my research on understanding the psychometric properties of tests. This work has included research on the effects of item formats and the use of constructed-response versus multiple-choice items.
Andrew Zieffler Andrew Zieffler
- Teaching professor, Distinguished University Teaching Professor
- zief0002@umn.edu
My research interests are in the teaching and learning of statistics and data science. I am also interested in measurement and assessment as it relates to statistics education and data science research.
