Educational Psychology

David Kaplan

Patricia Busk Professor of Quantitative Methods, Quantitative Methods Area

david.kaplan@wisc.edu

(608) 262-0836

1082B Educational Sciences

1025 West Johnson Street

Madison, WI 53706-1706

Kaplan, David

   Download CV   WEBSITE: Bayesian Methods for Education Research  

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. Dr. Kaplan’s program of research focuses on the development of Bayesian statistical methods for education research. His work on these topics is directed toward applications to large-scale cross-sectional and longitudinal survey designs. Dr. Kaplan is an elected member of the National Academy of Education and serves as the chair of its Research Advisory Committee; a recipient of the Samuel J. Messick Distinguished Scientific Contributions Award from the American Psychological Association (Division 5); a past-President of the Society for Multivariate Experimental Psychology; a fellow of the American Psychological Association (Division 5); a recipient of the Alexander Von Humboldt Research Award; an Honorary Research Fellow in the Department of Education at the University of Oxford., a fellow of the Leibniz Institute for Educational Research and Information and the Leibniz Institute for Educational Trajectories; 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.

Education

  • PhD Education, University of California - Los Angeles, 1987
  • MA Education, University of California - Los Angeles, 1983
  • BA Psychology, California State University - Northridge, 1978

Select Publications

  • Kaplan, D. (2021). On the quantification of model uncertainty: A Bayesian perspective. Psychometrika, 86, 215-238. Online Publication/Abstract.
  • Kaplan, D., & Huang, M. (2021). Bayesian probabilistic forecasting with large-scale educational trend data: A case study using NAEP. Large-Scale Assessments in Education, 9 Online Publication/Abstract, (PDF), (zip file of R code and data).
  • Kaplan, D., & Yavuz, S. (2019). An approach to addressing multiple imputation model uncertainty using Bayesian model averaging. Multivariate Behavioral Research Online Publication/Abstract.
  • Kaplan, D., & Su, D. (2018). On imputation for planned missing data in context questionnaires using plausible values: A comparison of three designs. Large-Scale Assessments in Education Online Publication/Abstract.
  • Kaplan, D., & Lee, C. (2018). Optimizing prediction using Bayesian model averaging: Examples using large-scale educational assessments. Evaluation Review Online Publication/Abstract.
  • Kaplan, D., & Su, D. (2016). On matrix sampling and imputation of context questionnaires with implications for the generation of plausible values in large-scale assessments. Journal of Educational and Behavioral Statistics, 41, 57-80. Online Publication/Abstract.
  • Kaplan, D., & Lee, C. (2015). Bayesian model averaging over directed acyclic graphs with implications for the predictive performance of structural equation models.. Structural Equation Modeling Online Publication/Abstract.
  • Kaplan, D., & Chen, J. (2014). Bayesian model averaging for propensity score analysis. Multivariate Behavioral Research, 49, 505-517. Online Publication/Abstract.
  • Kaplan, D. (2014). Bayesian Statistics for the Social Sciences. New York: Guilford Press Online Publication/Abstract.
  • van de Schoot, R., Kaplan, D., Dennisen, J., Asndorpf, J. B., Neyer, F. J., & van Aken, M. (2013). A gentle introduction to Bayesian analysis: Applications to developmental research. Child Development Online Publication/Abstract.

Select Presentations

  • Kaplan, D. (2019). An Approach to Addressing Multiple Imputation Model Uncertainty Using Bayesian Model Averaging. Paper presented at the DAGStat 2019 (Deutsche Arbeitsgemeinschaft Statisk), Munich, Germany.
  • Kaplan, D. (2019, November). Recent Developments and Future Directions in Bayesian Model Averaging. Lecture presented at the Donald O. Hebb Lecture Series, Montreal, Canada.
  • Kaplan, D. (2019, October). Quantifying Uncertainty in Models and Methods: Overview and Recent Developments in Bayesian Model Averaging. Talk presented at the Invited Talk, New York City, NY.
  • Kaplan, D. (2019, October). The Bayesian Revolution and Why You Should Care. Lecture presented at the The 2019 Anastasi Lecture, New York City, NY.
  • Kaplan, D. (2019, October). Quantifying Uncertainty in Models and Methods: Overview and Recent Developments in Bayesian Model Averaging. Lecture presented at the Distinguished Lecture, Belval, Luxembourg.
  • Kaplan, D. (2019, January). Quantifying Uncertainty in Models and Methods: A Bayesian Perspective. Talk presented at the Luxembourg Institute for Socio-Economic Research, Belval, Luxembourg.
  • Kaplan, D. (2018). Recent Developments and Applications of Bayesian Model Averaging. Keynote/Plenary Address presented at the IMPS 2018, New York City, NY.
  • Kaplan, D. (2018). Recent Developments and Applications of Bayesian Model Averaging Applicable to the Social and Behavioral Sciences. Keynote/Plenary Address presented at the Presidential address to the annual meeting of the Society for Multivariate Experimental Psychology, Albuquerque, NM.
  • Kaplan, D. (2018, July). Recent Developments and Applications of Bayesian Model Averaging. Oral Presentation presented at the Leibniz Institute for Educational Trajectories, Bamberg, Germany.
  • Kaplan, D. (2017, October). On the Utility of Bayesian Model Averaging for Optimizing Prediction: Two Case Studies. Talk presented at the OPRE Meeting On Bayesian Methods for Social Policy Research and Evaluation, Washington, DC.

Select Awards and Honors

  • Max Kade Visiting Professor, University of Heidelberg, (2021–2022)
  • Hilldale Award in the Social Sciences, University of Wisconsin - Madison, (2019–2020)
  • Research Fellow, DIPF - Leibniz Institute for Research and Information in Education, (2016–2020)
  • Samuel J. Messick Award for Distinguished Scientific Contributions Award, APA, Division 5, 2018
  • President, Society of Multivariate Experimental Psychology, (2017–2018)
  • Johann Baptist von Spix International Visiting Professor, Department of Statistics and Econometrics, University of Bamberg, 2018
  • Faculty Distinguished Achievement Award, School of Education, University of Wisconsin – Madison, 2016
  • Humboldt Research Award, Alexander von Humboldt Foundation, (2015–2016)
  • Elected Member, National Academy of Education, 2015
  • Kellett Mid-Career Award, University of Wisconsin - Madison, 2012