Kilchan Choi, Ph.D.

Affiliations: 
2002 University of California, Los Angeles, Los Angeles, CA 
Area:
Educational Psychology Education, Higher Education
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"Kilchan Choi"

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Michael Seltzer grad student 2002 UCLA
 (Latent variable regression in a three-level hierarchical modeling framework: A fully Bayesian approach.)
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Publications

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Choi K, Kim J. (2019) Latent Variable Regression Four-Level Hierarchical Model Using Multisite Multiple-Cohort Longitudinal Data Journal of Educational and Behavioral Statistics. 44: 597-624
Phelan JC, Choi K, Niemi D, et al. (2012) The effects of POWERSOURCE© assessments on middle-school students’ math performance Assessment in Education: Principles, Policy & Practice. 19: 211-230
Phelan J, Choi K, Vendlinski T, et al. (2011) Differential Improvement in Student Understanding of Mathematical Principles following Formative Assessment Intervention. Journal of Educational Research. 104: 330-339
Choi K, Seltzer M. (2010) 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 Journal of Educational and Behavioral Statistics. 35: 54-91
Goldschmidt P, Choi K, Martinez F, et al. (2010) Using growth models to monitor school performance: comparing the effect of the metric and the assessment School Effectiveness and School Improvement. 21: 337-357
Kim J, Choi K. (2008) Closing the gap: Modeling within-school variance heterogeneity in school effect studies Asia Pacific Education Review. 9: 206-220
Choi K, Seltzer M, Herman J, et al. (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: 21-32
Choi K, Goldschmidt P, Yamashiro K. (2005) Exploring Models of School Performance: From Theory to Practice Yearbook of the National Society For the Study of Education. 104: 119-146
Seltzer M, Choi K, Thum YM. (2003) 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. 25: 263-286
Seltzer M, Novak J, Choi K, et al. (2002) Sensitivity Analysis for Hierarchical Models Employing t Level-1 Assumptions Journal of Educational and Behavioral Statistics. 27: 181-222
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