Dr. Bonifay’s research interests are in the area of psychological measurement, with particular focus in item response theory and model evaluation. He has published a number of quantitative research articles on psychometric topics such as dimensionality assessment, subscale analysis, and model complexity. He has also collaborated with substantive educational and psychological researchers, applying item response theory and structural equation models to better understand certain issues in school psychology, psychiatric treatment, and cognitive behavioral therapy.
Dr. Easter is an Educational Psychologist who teaches introductory applied statistics courses in the Educational, School, and Counseling Psychology department. His research interests include scale development, motivation, and online learning environments. He has worked on projects to develop online learning materials for the US Navy, US Department of Labor, and the University of Missouri.
Dr. Huang is an applied quantitative methodologist who focuses on both methodological (e.g., analysis of clustered data) and substantive (e.g., school climate, effectiveness of interventions, measurement of school bullying) areas of research. He is the recipient of a national research award given by the American Educational Research Association (AERA) and sits on the editorial boards of School Psychology Quarterly and AERA Open. His recent research has been funded by separate grants from the U.S. Department of Education and the Office of Juvenile Justice and Delinquency Prevention Program of the U.S. Department of Justice.
Dr. 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.
Dr. Olsen is an applied quantitative methodologist who conducts interdisciplinary school climate and equity 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 School Science and Mathematics and is an incoming associate editor for Educational Researcher.
Dr. Wiedermann’s 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 serves as an associate editor of Behaviormetrika and the Journal of Person-Oriented Research.
Dr. Winter’s areas of research interest include structural equation modeling, the role of priors in Bayesian statistics, psychometrics, and the analysis of longitudinal data. In addition to her methodological work, she collaborates with several researchers using her quantitative expertise to examine educational and psychological research questions. Her overarching goal is to facilitate the thoughtful application of advanced quantitative methods in educational and psychological research