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Jaehwa Choi
Jaehwa Choi
Assistant Professor of Educational Educational Research Methods
Educational Leadership
For requesting journal papers, software programs, statistical codes, course materials/resources, and more information, please visit his other website, JaehwaChoi.eMathTest.com.
Contact Information
...
202-994-2602

User Details

Faculty
Jaehwa Choi is Assistant Professor of Educational Research Methods in the Department of Educational Leadership at the George Washington University, and Senior Consultant of Psychometrics for Delta Sigma Soft, Inc. He is also the inventor of the web-based Math learning system which is currently used in eMathTest.com. His research interests include structural equation modeling (SEM), latent growth models, Markov chain Monte Carlo (MCMC) estimation methods for latent variable models, and web based assessment system. His research has appeared in such journals as Journal of Educational and Behavioral Statistics, Multivariate Behavioral Research, Structural Equation Modeling: A Multidisciplinary Journal, Applied Psychological Measurement, Journal of Modern Applied Statistical Methods, Journal of Counseling Psychology, Asia Pacific Education Review, and Journal of Rehabilitation. He also authored several statistical analysis software programs, BayesPCC (v 3.0.0): A stand-alone Microsoft Windows software program for estimating Polychoric correlation matrices using Bayesian estimation methods, and ezIA (v 1.0.0): A Microsoft Excel Add-In for test item analysis. He served as co-chair (2010~2011) and chair (2011~2012) of the SEM special interest group of the American Educational Research Association. He has taught several quantitative research method courses including EDUC 310 : Introduction to Measurements, EDUC 314 : Multivariate Analysis, EDUC 220 : Hierarchical Linear Modeling, and has taught dozens of quantitative research methods workshops in the United States, and abroad. Dr. Choi holds a Ph.D. from the University of Maryland in the Department of Measurement, Statistics and Evaluation. For papers, programs, statistical codes, and more information, please visit his other website, JaehwaChoi.eMathTest.com.

Ph.D., University of Maryland, 2006

Research Methods

REFEREED JOURNAL ARTICLES PUBLISHED OR IN PRESS

Stewart, J. F., Mallery, C., & Choi, J. (in press). College Student Course Completion: A Multilevel Analysis of Distance Learning Completion at the Crossroads of Disability Status. Journal of College Student Retention: Research, Theory & Practice.

Kroopnick, H. M., Chen, J., Dayton, C. M., & Choi, J. (in press). Assessing Classification Bias in Latent Class Analysis: Comparing Resubstitution and Leave-One-Out Methods. Journal of Modern Applied Statistical Methods.

Choi, J., Chen, J., & Kim, S. (in press). EAPPCC: A Matlab subroutine for estimating polychoric correlation matrices using an Expected A Posteriori estimation method. Applied Psychological Measurement.

Choi, J., Kim, S., Chen, J., & Dannels, A. S. (2011). A Comparison of Maximum Likelihood and Bayesian Estimation for Polychoric Correlation using Monte Carlo Simulation. Journal of Educational and Behavioral Statistics, 36(4), 523-549.

Choi, J., Dunlop, M., Chen, J., & S. Kim. (2011). A Comparison of Different Approaches for Coefficient Alpha for Ordinal Data, Journal of Educational Evaluation, 24(2), 485-506.

Choi, J., Peters, M., & Mueller, R. (2010). Correlational analysis of ordinal data: From Pearson's r to Bayesian Polychoric Correlation, Asia Pacific Education Review, 11, 459-466.

Stewart, J. F., Mallery, C., & Choi, J. (2010). A Multilevel Analysis of Distance Learning Achievement: Are College Students with Disabilities Making the Grade? Journal of Rehabilitation, 76(2), 27-39.

Choi, J., Fan, W., & Hancock, G. R. (2009). A Note on Confidence Intervals for Two-Group Latent Mean Effect Size Measures. Multivariate Behavioral Research, 44:3, 396-406.

Choi, J., Harring, J. R., & Hancock, G. R. (2009). Latent growth modeling for logistic response functions. Multivariate Behavioral Research, 44:5, 620-645.

Marmarosh, C., Gelso, C., Markin, R., Majors, R., Mallery, C., & Choi, J. (2009). The Real Relationship in Psychotherapy: Relationships to Adult Attachments, Working Alliance, Transference, and Therapy Outcome. Journal of Counseling Psychology. 56:3, 337-350.

Chen, J., & Choi, J. (2009). A Comparison of Maximum Likelihood and Expected A Posteriori Estimation for Polychoric Correlation Using Monte Carlo Simulation. Journal of Modern Applied Statistical Methods, 8, 337-354.

Hancock, G. R., & Choi, J. (2006). A vernacular for linear latent growth models. Structural Equation Modeling: A Multidisciplinary Journal, 13, 352-377.


NON-REFEREED JOURNAL PUBLICATIONS

Tekleselassie, A., Mallery, C., & Choi, J. (2011). Applying the multivariate model to unpack the gender gap in college access among African Americans and Caucasians. Graduate School of Education and Human Development Working Paper Series. The George Washington University.

Choi, J. (2010). ezIA User’s Guide Korean Version [Software Manual], 1st edition.

Choi, J., Chen, J., & Kim, S. (2009). BayesPCC (v 3.0.0): A stand-alone Microsoft Windows software program for estimating Polychoric correlation matrices using Bayesian estimation methods [Computer software].

Chen, J., Choi, J., & Kim, S. (2009). BayesPCC for Windows User’s Guide [Software Manual], 2nd edition.

Choi, J., Kim, S., & Yoon, K. (2009). ezIA (v 1.0.0): A Microsoft Excel Add-In for Test Item Analysis [Computer Software]. Delta Sigma Soft, Inc.

Choi, J., Kim, S., & Yoon, K. (2009). ezIA (v 1.0.0): A Microsoft Excel Add-In for test item analysis [Computer software].

Choi, J., & Chen, J. (2009). ezIA User’s Guide [Software Manual], 2nd edition.

Choi, J., Chen, J., & Kim, S. (2007) EAPPCC: A Matlab subroutine for estimating polychoric correlation matrices using an Expected A Posteriori estimation method. [Matlab Subroutine].

Choi, J., Chen, J., & Kim, S. (2007) EAPPCC for Windows User’s Guide [Software Manual], 1st edition.

Choi, J., Chen, J., & Kim, S. (2007) EAPPCC: Matlab Subroutine User’s Guide [Software Manual].

Choi, J. (Author). Introduction to Quantitative Research Design. [DVD]. Washington DC.


REFEREED PRESENTATIONS

Marmarosh, C., Bieri, K., Schutt, J., Barone, C., & Choi, J. (2011, Aug.). The Secure Psychotherapy Base: Using Client and Therapist Attachment Styles to Predict Changes in Alliance and Therapy Outcome. Paper will be presented at the annual meeting of the American Psychological Association, Washington, DC.

Chen, J., Choi, J., Stapleton, L. & Weiss, B. (2011, April). Mediation Effect Analysis Using Markov-Chain Monte Carlo Estimation Methods. Paper presented at the annual meeting of the American Education Research Association, Denver, CO.

Choi, J., Dunlop, M., Chen, J., & S. Kim. (2011, April). A Comparison of Different Approaches for Coefficient Alpha for Ordinal Data. Paper presented at the annual meeting of the American Education Research Association, New Orleans, LA.

Tekleselassie, A., Mallery, C., & Choi, J. (2011, April). Using Hierarchical Generalized Linear Model to Unpack the Gender Gap in Postsecondary Participation among African Americans and Caucasians. Paper presented at the annual meeting of the American Education Research Association, New Orleans, LA.

Choi, J., Kim, S., Chen, J., & Dannels, A. S. (2010, April). A Comparison of Maximum Likelihood and Bayesian Estimation for Polychoric Correlation using Monte Carlo Simulation. Paper presented at the annual meeting of the American Education Research Association, Denver, CO.

Stewart, F. J., Mallery, C., & Choi, J. (2010, April). Distance Learning Retention: Multilevel Analysis at the Crossroads of Disability Status. Paper presented at the annual meeting of the American Education Research Association, Denver, CO.

Choi, J., & Harring, J. (2010, April). Logistic Growth Modeling Using Markov Chain Monte Carlo Estimation. Paper presented at the annual meeting of the American Education Research Association, Denver, CO.

Choi, J., Villarreal, P., & Stapleton, L. (2010, April). Mediation Effect Analysis Using Markov-Chain Monte Carlo Estimation Methods. Paper presented at the annual meeting of the American Education Research Association, Denver, CO.

Choi, J., Peters, M., & Mueller, R. O. (2009, April). Correlational Analysis of Ordinal Data: From Pearson' r to Bayesian Polychoric Correlation. Paper presented at the annual meeting of the American Education Research Association, San Diego, CA.

Stewart, F. J., Mallery, C., & Choi, J. (2009, April). A multilevel analysis of distance learning achievement: Are college students with disabilities making the grade? Paper presented at the annual meeting of the American Education Research Association, San Diego, CA.

Kroopnick, H. M., Chen, J., Dayton, C. M., & Choi, J. (2009, April). Assessing Classification Bias in Latent Class Analysis: Comparing Resubstitution and Leave-One-Out Methods. Paper presented at the annual meeting of the American Education Research Association, San Diego, CA.

Hancock, G. R., & Choi, J., & Kroopnick, H. M. (2008, July). Effect size, power, and sample size determination for repeated-measure structured means modeling on a single latent construct. Paper presented at the annual meeting of the Psychometric Society, Durham, NH.

Chen, J., & Choi, J. (2008, April). A comparison of Maximum Likelihood and Expected A Posteriori Estimation for polychoric correlation using Monte Carlo simulation. Paper presented at the 2008 meeting of the American Education Research Association, New York, NY.

Choi, J., & Hancock, G. R. (2007, April). Effect of categorization on the moment estimates. Paper presented at the 2007 meeting of the American Education Research Association, Chicago, IL.

Choi, J. (2006, April). Effect of categorization on Type I error and power in ordinal indicator latent means models for between-subjects designs. Paper presented at the 2006 meeting of the American Education Research Association, San Francisco, CA.

Choi, J., Levy, R., & Hancock, G. R. (2006, April). A new Markov chain Monte Carlo estimation method with covariance data for Structural Equation Modeling. Paper presented at the 2006 meeting of the American Education Research Association, San Francisco, CA.

Choi, J., & Lee, Y.–S. (2006, April). Intervention analysis with longitudinal IRT models. Paper presented at the 2006 meeting of the National Council on Measurement in Education, San Francisco, CA.

Choi, J., Fan, W., & Hancock, G. R. (2005, April). Confidence intervals for between-subjects latent mean effect size measures in structured means models. Paper presented at the 2005 meeting of the American Education Research Association, Montréal, Canada.

Choi, J., & Hancock, G. R. (2004, April). Latent growth modeling for logistic response functions. Paper presented at the 2004 meeting of the American Education Research Association, San Diego, CA.

Hancock, G. R., & Choi, J. (2003, April). The effect of shifting and stretching temporal metrics in linear latent growth models. Paper presented at the 2003 meeting of the American Education Research Association, Chicago, IL.

Choi, J., & Hancock, G. R. (2003, April). Interaction effect analysis in latent growth modeling
with external predictor variables. Paper presented at the 2003 meeting of the National Council on Measurement in Education, Chicago, IL.


AERA

NCME

KAERA

About Me


Jaehwa Choi is Assistant Professor of Educational Research Methods in the Department of Educational Leadership at the George Washington University, and Senior Consultant of Psychometrics for Delta Sigma Soft, Inc. He is also the inventor of the web-based Math learning system which is currently used in eMathTest.com. His research interests include structural equation modeling (SEM), latent growth models, Markov chain Monte Carlo (MCMC) estimation methods for latent variable models, and web based assessment system. His research has appeared in such journals as Journal of Educational and Behavioral Statistics, Multivariate Behavioral Research, Structural Equation Modeling: A Multidisciplinary Journal, Applied Psychological Measurement, Journal of Modern Applied Statistical Methods, Journal of Counseling Psychology, Asia Pacific Education Review, and Journal of Rehabilitation. He also authored several statistical analysis software programs, BayesPCC (v 3.0.0): A stand-alone Microsoft Windows software program for estimating Polychoric correlation matrices using Bayesian estimation methods, and ezIA (v 1.0.0): A Microsoft Excel Add-In for test item analysis. He served as co-chair (2010~2011) and chair (2011~2012) of the SEM special interest group of the American Educational Research Association. He has taught several quantitative research method courses including EDUC 310 : Introduction to Measurements, EDUC 314 : Multivariate Analysis, EDUC 220 : Hierarchical Linear Modeling, and has taught dozens of quantitative research methods workshops in the United States, and abroad. Dr. Choi holds a Ph.D. from the University of Maryland in the Department of Measurement, Statistics and Evaluation. For papers, programs, statistical codes, and more information, please visit his other website, JaehwaChoi.eMathTest.com.