Ph.D., Education, University of Chicago, 1991
Teaching & Research Interests
- Hierarchical models
- Methods for Bayesian analysis
- Methodology for multi-site evaluations
- Longitudinal analysis
Seltzer, M., Novak, J. Choi, K. & Lim, N. (2002). Sensitivity analysis for hierarchical models employing t level-1 assumptions. Journal of educational and Behavioral Statistics, 27, 181-222.
Seltzer, M. & Choi, K. (2002). Model checking and sensitivity analysis for multilevel models. In N. Duan & S. Reise (Eds.), Multilevel modeling: Methodological advances, issues, and applications. Hillsdale, NJ: Lawrence Earlbaum. (Click here for the annotated BUGS programs used in this chapter.)
Seltzer, M., Choi, K. & Thum, Y.M. (in press). Examining relationships between where students start and how rapidly they progress: Using new developments in growth modeling to gain insight into the distribution of achievement within schools. Educational Evaluation and Policy Analysis.
Seltzer, M. (in press). The use of hierarchical models in analyzing data from field experiments and quasi-experiments. In D. Kaplan (Ed.), The Handbook of Statistical Methods for the Social Sciences. Thousand Oaks, CA: Sage Publications.
Chang, M., Seltzer, M. & Kim, J. (under review). Diversity of opinions among entering college students: Does race matter? Educational Evaluation and Policy Analysis.