Michael Seltzer
Professor, Department of Education

2019C Moore Hall
310-825-5191
mseltzer@ucla.edu

Research Interests: multilevel modeling; longitudinal analysis; Bayesian data analysis; multi-site evaluation studies

SELTZER CV in PDF format

Education

Ph.D., Education, 1991, The University of Chicago
M.A., Anthropology, 1977, Northwestern University
B.A., Anthropology, 1975, The State University of New York at Buffalo 

Selected Publications

Seltzer, M. & Rose, M. (2006)  Constructing analyses:  Developing thoughtfulness in working with quantitative methods.  In C. Conrad & R. Serlin (Eds.),  Handbook for Research in Education: Engaging Ideas and Enriching Inquiry.  Thousand Oaks, CA:  Sage Publications.

Choi, K., Seltzer, M., Herman, J. & Yamashiro, K. (2007).  Children left behind in AYP and non-AYP schools:  Using student progress and the distribution of student gains to validate AYP.  Educational Measurement:  Issues and Practice, 26, 3, 21-32.

Kim, J.Y., Jung, H. & Seltzer, M. (in press).  Drawing causal inferences using propensity score methods in educational research.  Korean Journal of Educational Evaluation.

Selected Presentations

Sensitivity of results to unmeasured confounding variables in hierarchical models for meta-analysis (with Kenneth Frank, Hyekyung Jung and Jinok Kim).   Paper presented at the Annual Meeting of the American Educational Research Association, New York, March, 2008.

Assessing the sensitivity of inferences concerning fixed effects in hierarchical models to possible unmeasured confounding variables (with Kenneth Frank, Hyekyung Jung and Jinok Kim).  Invited address given at the Annual Meeting of the American Educational Research Association, Chicago, April, 2007.

Examining heterogeneity in residual variance in experimental and quasi-experimental settings: jointly modeling mean structure and variance in a Hierarchical Modeling framework (with Jinok Kim).  Paper presented at the Annual Meeting of the American Educational Research Association, San Francisco, April, 2006.

Studying the sensitivity of inferences to possible confounding variables in multisite evaluations (with Jinok Kim and Kenneth Frank).  Paper presented at the Annual Meeting of the American Educational Research Association, San Francisco, April, 2006.

Professional Service

Principal member of the Institute of Education Sciences Statistics and Modeling Grant Review Panel (9/08 – 2/11).

Member of the Technical Work Group for the Professional Development Impact Study funded by the U.S. Department of Education’s Institute of Education Sciences (March 2004 – February 2008).

Member of the Technical Work Group for a project titled Design of an Impact Evaluation of Teacher Induction Programs sponsored by the U.S. Department of Education’s Institute of Education Sciences (February 2004)