After receiving his Ph.D. in education from UCLA in 1987, Dr. Kaplan joined the faculty of the University of Delaware where he remained until 2006. He is presently Professor of Quantitative Methods in the Department of Educational Psychology at the University of Wisconsin - Madison, and holds an affiliate appointment in the Department of Population Health Sciences. Dr. Kaplan has been a consultant on numerous projects sponsored by the U.S Department of Education (IES and NCES), the National Science Foundation, and the Organization for Economic Cooperation and Development (OECD) where he was formally a member of the Technical Advisory Group and is currently a member of the Questionnaire Expert Group for the OECD/Programme on International Student Assessment (PISA). He has been a visiting professor at the Hebrew University of Jerusalem and the University of Milano-Bicocca. Dr. Kaplan was recently honored with the Kellett Mid-Career Award from the University of Wisconsin - Madison and, during the 2001-2002 academic year, he was the Jeanne Griffith Fellow at the National Center for Education Statistics.
RESEARCH STATEMENT
David's current program of research focuses on the Bayesian statistical methods for experimental, quasi-experimental, and observational studies in education. In the experimental setting, he is particularly interested in Bayesian optimal experimental designs, and the application of maximum entropy priors. In the quasi-experimental setting, David's current focus of research is on applications and developments in Bayesian propensity score modeling and Bayesian model averaging as a means of improving causal estimands.
David's collaborative research involves applications of advanced quantitative methodologies to problems in educational psychology, human development, and international comparative education. He is most actively involved in the OECD Program for International Student Assessment (PISA) where he serves on its technical advisory group and questionnaire expert group.
REPRESENTATIVE PUBLICATIONS
Kaplan, D. & Depaoli, S. (in press). Bayesian statistical methods. In T. D. Little (ed.), Oxford Handbook of Quantitative Methods. Oxford: Oxford University Press.
Kaplan, D. & Depaoli, S. (2012). Bayesian structural equation modeling. In R. Hoyle (ed.), Handbook of Structural Equation Modeling. (pp 650{673), New York: Guilford Publications, Inc.
Kaplan, D. & Chen, J. (2012). A Two-Step Bayesian Approach for Propensity Score Anal-ysis: Simulations and Case Study. Psychometrika, 77, 581-609. Published online. DOI:10.1007/S11336-012-9262-8. Erratum pg. 610.
Kaplan, D., & Keller, B. (2011). A note on cluster e ects in latent class analysis. Structural
Equation Modeling, 18, 525-536.
Kaplan, D., & Depaoli, S. (2011). Two studies of speci fication error in models for categorical
latent variables. Structural Equation Modeling, 18, 397-418.
Kaplan, D. (2009). Causal inference in non-experimental educational policy research. In G. Sykes, B. Schneider., & D. N. Plank (Eds.), Handbook on Education Policy Research. New York: Taylor and Francis.
Contact Informationdkaplan@education.wisc.edu
Phone: (608) 262-0836
Office: 1082-B Ed Sciences
Website: http://edpsych.education.wisc.edu/people/faculty-staff/david-kaplan
Current ProjectsBayesian Inference for Experimental and Observational Studies in EducationPostdoctoral Training Program in mathematical Thinking, Learning, and Instruction Validating Universal Screening and Progress Monitoring Instruments for Use with ELLs in response-to-Intervention Models Completed ProjectsChildren's Math ProjectEvidence Reviews for What Works Clearinghouse An Integrated Qualitative and Quantitative Evaluation of the SAGE Program |
