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GSE Profiles
Staff Contact:
Sun-Joo Cho
Post-Doctoral Scholar
Sponsor: Mark Wilson & Sophia Rabe-Hesketh
Office: 3659 Tolman Hall, #1670
Phone:
Email: sjcho at berkeley.edu
Website:
Office:
Phone:
Email:
Sun-Joo Cho is interested in methodological issues that arise in practical situations in educational and psychological measurement. Her research has focused on studying item response theory (IRT) models and multilevel models in complex data structures to understand why individuals respond differentially in typical examination settings.Her areas of specialization include psychometric theory, item response theory models, multilevel models, and application of Bayesian computation for latent variable modeling.
• Ph.D. Research, Evaluation, Measurement, and Statistics (REMS)
The University of Georgia, Athens, 2007
Title of Dissertation: A Multilevel Mixture IRT Model for DIF Analysis• MS. Statistics
Yonsei University, Seoul, Korea, 2003
Title of Thesis: An Investigation of the Accuracy of Parameter Estimation Using MCMC Methods for IRT• BA. Education
Yonsei University, Seoul, Korea, 2001
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• 10/2007 - Present: Post-doctoral Scholar, University of California, Berkeley• 8/2004 - 8/2007: Research Assistant, The University of Georgia, Athens
• 9/2003 - 5/2004: Teaching Assistant, University of Wisconsin, Madison
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• Statistical and Applied Mathematical Sciences Institute Tutorial :
Nonlinear Mixed Models Approach to Item Response Theory (July 2009)• EDUC 274B : Measurement in Education and the Social Sciences II (Teaching module on differential item functioning) (Spring 2009)
• EDUC 298A (Sec. 2) : A Learning Progression to Support the Development of Model-Based Reasoning (Spring 2008, Fall 2008, Spring 2009)
• EDUC 274A : Measurement in Education and the Social Sciences I (Teaching module on reliability and classical test theory) (Fall 2008)
• Berkeley Evaluation & Assessment Research Center Short Course : Bayesian Analysis of Explanatory Item Response Models using WinBUGS
Session I : Introduction to Bayesian inference and computation and WinBUGS (October 28th, 2008/2-4 pm/Tolman Hall 2515 )
Session II : Using WinBUGS for Explanatory Item Response Models (November 25th, 2008/2-4 pm/Tolman Hall 2515)
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Articles (Refereed Journals, Proceeding)• Cho, S.-J. , Li, F., and Bandalos, D. L. (In press). Accuracy of the parallel analysis procedure using polychoric correlations. Educational and Psychological Measurement.• Li, F., Cohen, A. S., Kim, S.-H., and Cho, S.-J. (In press). Model selection methods for mixture dichotomous IRT models. Applied Psychological Measurement.
Monographs/Technical & Research Reports• Cohen, A. S., Cho, S.-J. and Li, F. (2007, August). A mixture IRT model analysis of examinee response to technologically rich instruction. Athens, GA: The University of Georgia, Georgia Center for Assessment.• Cho, S.-J. and Cohen, A. S. (2007, August). Multilevel mixture IRT model for DIF analysis for PSAT/NMSQT. Athens, GA: The University of Georgia, Georgia Center for Assessment.
• Cohen, A. S., Cho, S.-J. , Li, F., Schutz, P. and Hong, J. (2005, July). A mixture IRT model analysis of Grade 12 examinee motivation on the 2002 NAEP Reading Test. Athens, GA: The University of Georgia, Georgia Center for Assessment.
• Cohen, A. S., Li, F. and Cho, S.-J . (2005, March). A mixture IRT model analysis of Grade 8 examinee motivation on the 2002 NAEP Reading Test. Athens, GA: The University of Georgia, Georgia Center for Assessment.
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Invited• Cho, S.-J. and Cohen, A. S. (2007, November). A multilevel mixture IRT model for DIF analysis. Paper presented at The College Board 6th Annual Fellowship Award Meeting, The College Board, NY.• Cho, S.-J. and Cohen, A. S. (2007, November). A multilevel mixture IRT model for DIF analysis. Paper presented at the Berkeley Evaluation and Assessment Research (BEAR) Center Seminar.
Papers• De Boeck, P. and Cho, S.-J. (2009, July). Look, can you see where there is DIF? Paper to be presented at the annual meeting of the Psychometric Society, Cambridge, UK.• Cho, S.-J. , Rabe-Hesketh, S. and Fuller, B. (2009, June). A multilevel simultaneous equation model: Identifying multilevel selection and treatment effects of preschool centers on children's cognitive development. Poster to be presented at the Institute of Education Sciences (IES) Research Conference, Washington, DC.
• Cho, S.-J. , De Boeck, P. and Wilson, M. R. (2009, April). Secondary dimension modeling of DIF: A mixture approach for test speededness. Paper presented at the National Council on Measurement in Education, San Diego, CA.
• Cho, S.-J. , Bottge, B., Cohen, A. S. and Kim, S.-H. (2009, April). Using latent transition analysis with a mixture item response model to assess cognitive changes in math. Paper presented at the American Educational Research Association, San Diego, CA.
• Cho, S.-J. and Rabe-Hesketh, S. (2008, July). Alternating imputation posterior estimation of models with crossed random effects. Paper presented at the annual meeting of the Psychometric Society, Durham, NH.
• Cho, S.-J. and Rabe-Hesketh, S. (2008, June). Estimating item response models with random item parameters. Poster presented at the Institute of Education Sciences (IES) Research Conference, Washington, DC.
• Cho, S.-J. , Cohen, A. S. and Templin, J. (2008, March). A multidimensional mixture IRT model for DIF analysis. Paper presented at the annual meeting of the National Council on Measurement in Education, New York City, NY
• Cho, S.-J. and Cohen, A. S. (2007, July). A multilevel mixture IRT model for DIF analysis. Paper presented at the annual meeting of the Psychometric Society, Tokyo, Japan.
• Cho, S.-J. , Cohen, A. S., Kim, S.-H. and Bottge, B. (2007, April). Latent transition analysis with a mixture IRT measurement model. Paper presented at the annual meeting of the National Council on Measurement in Education, Chicago, IL.
• Cho, S.-J. , Cohen, A. S. and Kim, S.-H. (2006, June). An investigation of priors on the probabilities of mixtures in the mixture Rasch model. Paper presented to the annual meeting of the Psychometric Society, Montreal, Canada.
• Cho, S.-J. , Li, F. and Bandalos, D. L. (2006, April). Accuracy of the parallel analysis procedure in exploratory factor analysis of polychoric correlations. Paper presented at the National Council on Measurement in Education, Graduate Student Issues Committee Poster Session, San Francisco, CA.
• Li, F., Cohen, A. S., Kim, S.-H. and Cho, S.-J. (2006, April). Model selection methods for mixture dichotomous IRT models. Paper presented at the annual meeting of the National Council on Measurement in Education, San Francisco, CA.
• Bandalos, D. L., Cohen, A. S. and Cho, S.-J. (2006, April). Using factor mixture models to identify differentially functioning test items. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
• Hong, J. Y., Li, F., Cho, S.-J. , Schutz, P. and Cohen, A. S. (2006, April). Why students do not respond to NAEP reading questions? The relationship between students' response patterns and reading motivation. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
• Cohen, A. S., Li, F. and Cho, S.-J. (2005, July). A mixture model analysis of Grade 8 examinee motivation on a standardized achievement test. Paper presented at the Tenth China-U.S. Conference on Education: Aligning assessment with instruction, Beijing, People's Republic of China.
• Cohen, A. S., Cho, S.-J. and Kim, S.-H. (2005, April). A mixture testlet model for educational tests. Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada.
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• Alternating Imputation Posterior Estimation of Models with Crossed Random Effects
Supervisor: Sophia Rabe-Hesketh
• Multilevel Simultaneous Equation Models
Supervisor: Sophia Rabe-Hesketh
• A Learning Progression to Support the Development of Model-Based Reasoning
Supervisor: Mark Wilson
This project focuses on (1) investigating theories of the model-based reasoning in science education, (2) designing progress variables, and (3) developing appropriate forms of assessments.
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• 9/2006 - 8/2007: The College Board Research Grant Fellowship ($24,500): A Multilevel Mixture IRT Model for DIF Analysis• 5/2005: Second Place, UGA College of Education, Second Annual Graduate Student Research Conference: A Multilevel Rasch Testlet Model
• 9/1996 - 2/2001: Scholarship, Yonsei University
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Editorial and Review Positions• Reviewer Journal of Educational and Behavioral Statistics• Reviewer Applied Psychological Measurement
• Proposal Reviewer (2007- ) National Council on Measurement in Education (NCME)
• Proposal Reviewer (2007- ) American Educational Research Association (AERA)
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• American Educational Research Association (2004 - )• National Council on Measurement in Education (2004 - )
• Psychometric Society (2005 - )
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Assessment and Educational Measurement
Educational Statistics
Psychometrics
Quantitative Methods
Research Methods
Last Modified: 7/24/09
