David Kaplan, Ph.D.
Department of Educational Psychology
University of Wisconsin - Madison
David Kaplan is the Patricia Busk Professor of Quantitative Methods in the Department of Educational Psychology at the University of Wisconsin – Madison. Dr. Kaplan holds affiliate appointments in the University of Wisconsin’s Department of Population Health Sciences and the Center for Demography and Ecology, and is also an Honorary Research Fellow in the Department of Education at the University of Oxford. Dr. Kaplan is an elected member of the National Academy of Education, a recipient of the Humboldt Research Award, a fellow of the American Psychological Association (Division 5), and was a Jeanne Griffith Fellow at the National Center for Education Statistics. Dr. Kaplan received his Ph.D. in education from UCLA in 1987.
Dr. Kaplan’s program of research focuses on the development Bayesian statistical methods for education research. His work on these topics is directed toward applications to quasi-experimental and large-scale cross-sectional and longitudinal survey designs.
Chansoon (Danielle) Lee is a PhD student in the Quantitative Methods program, Department of Educational Psychology at UW-Madison. She is working for the Waisman Center as a project assistant. Her research interest is applying Bayesian statistics to structural equation modeling (SEM) and longitudinal studies. She was a PhD student majoring in Psychological Assessment and Measurement at the Department of Human Resource Development (HRD) in Sungkyunkwan University, Seoul, Korea. She was involved in the projects as a research assistant in Korea Institute for Curriculum and Evaluation. Her major role in those projects was analyzing PISA and TIMSS data to compare the achievement of Korean students in reading, math, and science with those of other countries’ students using SEM and hierarchical linear models.
Yen Lee is a PhD student in the Quantitative Methods program, Department of Educational Psychology at UW-Madison. She received her Master degree in the Psychometric, Department of Psychology at National Chengchi University in Taiwan. Before joining Madison, Yen worked as a research assistant in National Cheng Kung University. Her current research interests are about applying maximum entropy and Bayesian principles to simulated data generation process and classical statistical methods.
Dan Su received her Master’s degree in Quantitative Methods, Educational Psychology from University of Wisconsin-Madison. She worked on the design and analysis of vignette experiments (factorial surveys). Now she continues her PhD study in the Quantitative Methods program at UW-Madison. She is currently working on the planned missing data designs in large-scale assessments (such as PISA), especially under the framework of causal inference. Her general research interests include planned missing data designs in large-scale assessments, experimental designs for factorial surveys, and causal inference with directed acyclic graphs. Besides being into quantitative methodology, she is also a dancer performing contemporary dance at UW-Madison.
Soojin Park, Ph.D. Assistant Professor, University of California, Riverside
Jianshen (Cassie) Chen, Ph.D. Associate Psychometrician, ETS
Sarah Depaoli, Assistant Professor, University of California, Merced
This joint effort is housed within the Wisconsin Center for Education Research at the School of Education, University of Wisconsin-Madison. Copyright ©2011, The Board of Regents of the University of Wisconsin System