Junyeop Kim, Ph.D.

Name: 
Junyeop Kim, Ph.D.
Methods Core
Core Scientist
Contact: 

Drew Center for AIDS Research, Education and Services
1748 East 118th St.
Los Angeles, CA 90059
(323) 357-3400 Fax (323) 357-3477
junyeopkim@cdrewu.edu

Bio: 

Dr. Junyeop Kim is currently a Senior Statistician at Drew Center for AIDS Research, Education and Services (Drew CARES) and serves as a member of CHIPTS Methods Core. At 2006, he received his PhD at UCLA Graduate school of Education and Information Studies with focus on quantitative research methodology.

His expertise is in the analysis of multilevel data including multi-site intervention studies, longitudinal and cluster-randomized trials. His interest also lies in drawing causal inferences in multilevel observational and quasi-experimental studies with propensity score methodology. He has been involved in various intervention studies and provided plan for research design and data analysis, analysis of nested/repeated/cross-classified data and graphic representation of the result.

Currently as a senior statistician at Drew CARES and CHIPTS Methods core, he is involved in HIV/AIDS prevention studies for underserved local community and also developing models to estimate the spatial equity of the HIV/AIDS related intervention facilities.

Publications: 

# Kim, J and Seltzer M., Does Private Tutoring Make a Difference? – Drawing Causal Inferences using Propensity Score in Multilevel Settings. Asia-Pacific Education Review (Under Review)

# Aschbacher, P., Kim, J., and Seltzer, M. What Students are Learning about Scientific Inquary in Hands-On and Textbook-based Elementary Science Classrooms? Journal of Research in Science Teaching (Under Review)

# Chang, M., Seltzer, M. and Kim, J, Diversity of Opinions among Entering College Students: Does Race Matter?, Educational Evaluation and Policy Analysis (Under Review)

# Kim, J. and Seltzer, M. (2007), Causal Inference in Multilevel Settings in which Selection Process Vary across Schools (No. 708). Los Angeles: CA: Center for the Study of Evaluation (CSE).

# Choi, K. and Kim, J. (2006), Closing the Gap: Modeling Within-School Variance Heterogeneity in School Effects Study (No. 689). Los Angeles: CA: Center for the Study of Evaluation (CSE).

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