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A CRESST senior researcher, Dr. Kilchan Choi has expertise in the
development and application of advanced statistical methodologies and
hierarchical modeling. He specializes in issues of multi-site evaluations,
growth models, school effectiveness, and school accountability. Dr. Choi
has developed a new value-added model applied to multiple-school and
multiple-cohort longitudinal data in estimating different cohort effects and
teacher effects. His current research focuses on integrating item response
theory, latent variable regression, longitudinal analysis, and hierarchical
models into a general comprehensive statistical model. Funded by the U.S. Department of Education, Dr. Choi is currently a
co-principal investigator of the study, "Latent Variable Regression
4-level/5-level Hierarchical Model for Experimental, Quasi-experimental
Studies and Teacher and/or School Accountability." He specializes in school
reform, state and local educational policy, longitudinal research, and
program evaluation. His work has been published in scholarly peer-reviewed
journals, including the Journal of Educational and Behavioral Statistics,
Educational Evaluation and Policy Analysis, and Educational Measurement:
Issues and Practice. He received a B.A. in Education and a M.A. in
Educational Evaluation and Measurement from Seoul National University, South
Korea. He earned his Ph.D. from the UCLA Graduate School of Education &
Information Studies, specializing in advanced quantitative methodology.
 Online appendix for the paper by Choi and Seltzer, "Modeling heterogeneity in relationships between initial status and rates of change: Treating latent variable regression coefficients as random coefficients in a three-level hierarchical model" (in press) in the Journal of Educational and Behavioral Statistics:
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Copyright © 2008 The Regents of the University of California
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