Jeff Harring is a Professor of Quantitative Methodology: Measurement and Statistics within the Department of Human Development and Quantitative Methodology at the University of Maryland. Dr. Harring teaches advanced quantitative graduate seminars on regression analysis, longitudinal data analysis, simulation design, computational statistics, and finite mixture models. His research focuses on methods for repeated measures data, nonlinear structural equation models, methods for nested data structures, and mixtures of both linear and nonlinear growth models.

Websites:
https://education.umd.edu/directory/jeffrey-r-harring
https://www.youtube.com/watch?v=upesHMaLD5s