July 27, 2023

Amanda Olsen

Dr. Olsen is an applied quantitative methodologist who conducts interdisciplinary school climate research. She also has expertise in the analysis of complex, large-scale datasets and engages in program “impact” evaluation. Her research has been funded by federal agencies including the U.S. Department of Education and the National Science Foundation. She is currently an associate editor for Educational Researcher and School Science and Mathematics.

July 25, 2023

Brian Keller

Brian Keller’s main research interests are the statistical analysis of data with missing values, Bayesian statistics, statistical computing, structural equation modeling, and multilevel modeling. In addition to his methodological work, he currently develops Blimp statistical software.

April 4, 2022

Sonja Winter

Sonja Winter earned her Ph.D. in Quantitative Methods, Measurement, and Statistics from the University of California-Merced. She completed a postdoctoral fellowship through the Missouri Prevention Science Institute at the University of Missouri. Her areas of interest include structural equation modeling, the role of priors in Bayesian statistics, psychometrics, and the analysis of longitudinal data. Her overarching research goal is to facilitate the thoughtful application of advanced quantitative methods.

July 30, 2015

Matt Easter

Dr. Easter is an Educational Psychologist who teaches applied, introductory statistics courses and educational psychology courses in the Educational, School, and Counseling Psychology department. His research interests include scale development, motivation, conceptual change, and online learning environments. He has experience in curriculum design and development and has worked on projects to develop online learning materials for the US Navy, US Department of Labor, US Department of Energy, and the University of Missouri.

July 16, 2015

Wes Bonifay

July 16, 2015

Wolfgang Wiedermann

Wolfgang Wiedermann received his Ph.D. in Quantitative Psychology from the University of Klagenfurt, Austria. His primary research interests include the development of methods for causal inference, methods to determine the direction of effects in nonexperimental studies, and methods for intensive longitudinal data in the person-oriented research setting. He has edited volumes on advances in statistical methods for causal inference and new developments in statistical methods for dependent data analysis in the social and behavioral sciences. He currently serves as an associate editor of Behaviormetrika and the Journal of Person-Oriented Research.

July 6, 2015

Francis Huang

I am a Professor in the Department of Educational, School, and Counseling Psychology (emphasis: Statistics, Measurement, & Evaluation in Education) Program in the College of Education at the University of Missouri-Columbia. I am an applied quantitative methodologist and currently teach subjects related to program (impact) evaluation, multilevel modeling, linear/nonlinear regression, multivariate statistics (e.g., factor analysis, discriminant analysis, cluster analysis), and data management. My research interests focus on the use of applied quantitative methods for policy analysis (e.g., bullying, school violence, literacy growth), school climate, large scale data analysis, and the development and validation of empirically supported measures…