Sun-Joo Cho
Assistant Professor of Psychology and Human Development
Research topics include generalized latent variable models and their parameter estimation, with a focus on item response models. Recent application areas involve (1) the detection of the intervention effect on the math skills of low-achieving adolescents in special education and (2) the explanation/prediction of item difficulty and discrimination parameters using item attributes in random item response models.
Representative Publications
- Cho, S.-J., Athay, M., & Preacher, K. J. (in press). Measuring change for a multidimensional test using a generalized explanatory longitudinal item response model. British Journal of Mathematical and Statistical Psychology. Supplementary results, lmer script, and data are posted on the website: http://quantpsy.org/pubs.htm.
- Cho, S.-J., Partchev, I., & De Boeck, P. (in press). Parameter estimation of multiple item profiles models. British Journal of Mathematical and Statistical Psychology.
- Suh, Y., Cho, S.-J., & Wollack, J. A. (in press). A comparison of item calibration procedures in the presence of test speededness. Journal of Educational Measurement.
- Cole, D. A., Cho, S.-J., Martin, N. C., et al. (in press). Are increased weight and appetite useful indicators of depression in children and adolescents?*. Journal of Abnormal Psychology. * Exploratory, explanatory, and multiple-group multidimensional graded response models were used.
- Cho, S.-J., Cohen, A. S., & Kim, S.-H. (in press). A mixture group bi-factor model for binary responses. Structural Equation Modeling: A Multidisciplinary Journal.
- Cho, S.-J., Cohen, A. S., & Kim, S.-H. (in press). Markov chain Monte Carlo estimation of a mixture item response theory model. Journal of Statistical Computation and Simulation.
- Cho, S.-J., & Suh, Y. (2012). [Software Notes] Bayesian analysis of item response models using WinBUGS 1.4.3. Applied Psychological Measurement, 36, 147-148.
- De Boeck, P., Cho, S.-J., & Wilson, M. (2011). Explanatory secondary dimension modelling of latent DIF. Applied Psychological Measurement, 35, 583-603.
- Cho, S.-J., Bottge, B., Cohen, A. S., & Kim, S.-H. (2011). Detecting cognitive change in the math skills of low-achieving adolescents*. Journal of Special Education, 45, 67-76. * Mixture longitudinal item response model was used.
- Cho, S.-J., & Rabe-Hesketh, S. (2011). Alternating imputation posterior estimation of models with crossed random effects. Computational Statistics and Data Analysis, 55, 12-25.
- Cho, S.-J., Cohen, A. S., Kim, S.-H., & Bottge, B. (2010). Latent transition analysis with a mixture IRT measurement model. Applied Psychological Measurement, 34, 583-604.
- Cho, S.-J., & Cohen, A. S. (2010). A multilevel mixture IRT model with an application to DIF. Journal of Educational and Behavioral Statistics, 35, 336-370.
- Cho, S.-J., Li, F., & Bandalos, D. L. (2009). Accuracy of the parallel analysis procedure using polychoric correlations. Educational and Psychological Measurement. 69, 748-759.
- Li, F., Cohen, A. S., Kim, S.-H., & Cho, S.-J. (2009). Model selection methods for mixture dichotomous IRT models. Applied Psychological Measurement, 33, 353-373.
Honors
- National Council on Measurement in Education (NCME) Award for an Outstanding Example of an Application of Educational Measurement Technology to a Specific Problem (2011)
Study Title: Latent transition analysis with a mixture IRT measurement model
- The College Board Research Fellowship (9/2006 - 8/2007)
Study Title: A multilevel mixture IRT model with an application to DIF