Representative Publications

* denotes co-authors at Peabody College.

• Cho, S.-J., Gilbert, J. K.*, & Goodwin, A. P.* (in press). Explanatory multidimensional multilevel random item response model: An application to simultaneous investigation of word and person contributions to multidimensional lexical quality. Psychometrika.
• Miller, A. C.*, Davis, N.*, Gilbert, J. K.*, Scarborough, H. S.*, Toste, J. R.*, Street, J.*, Cutting, L. E.*, & Cho, S.-J.  (invited paper). Novel approaches to examine passage, question, and student effects on reading comprehension: Proof of concept. Learning Disabilities Research & Practice.  [Linear and nonlinear models with nested and crossed random effects were applied.]
• Cho, S.-J., De Boeck, P., Embretson, S., & Rabe-Hesketh, S. (in press). Additive multilevel item structure models with random residuals: Item modeling for explanation and item generation. Psychometrika. [Alternating imputation posterior algorithm with adaptive quadrature was developed for multilevel crossed random effects such as a random item effect across items and a random item group effect across item groups.]
• Bottge, B. & Cho, S.-J. (in press). Assessing item-level effects of enhanced anchored instruction on problem solving. Learning Disabilities: A Multidisciplinary Journal. [Multilevel longitudinal item response models were applied.]
• Bottge, B., Ma, X., Toland, M., Gassaway, L., Butler, M., & Cho, S.-J. (in press). Effects of blended instructional models on math performance. Exceptional Children. [Three-level hierarchical linear models for repeated measures were applied.]
• Cohen, A. S. & Cho, S.-J. (forthcoming). Information criteria. In W. J. van der Linden & R. K. Hambleton (Eds.), Handbook of item response theory, models, statistical tools, and applications. Boca Raton, FL: Chapman & Hall/CRC Press.
• 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., Athay, M.*, & Preacher, K. J.* (2013). Measuring change for a multidimensional test using a generalized explanatory longitudinal item response model. British Journal of Mathematical and Statistical Psychology, 66, 353-381. [Supplementary results, lmer script, and data are posted on the website: http://quantpsy.org/pubs.htm.]   
• Cho, S.-J., Cohen, A. S., & Kim, S.-H. (2013). Markov chain Monte Carlo estimation of a mixture item response theory model.  Journal of Statistical Computation and Simulation, 83, 278-306.
• Goodwin, A. P.*, Gilbert, J. K.*, & Cho, S.-J. (2013). Morphological contributions to adolescent word reading: An item response approach. Reading Research Quarterly, 48, 39-60. [Random item response models and explanatory item response models were applied.]
• Cho, S.-J., Cohen, A. S., & Bottge, B. (2013). Detecting intervention effects using a multilevel latent transition analysis with a mixture IRT model. Psychometrika, 78, 576-600.
• Cole, D. A.*, Cho, S.-J., Martin, N. C.*, et al. (2012). Are increased weight and appetite useful indicators of depression in children and adolescents?. Journal of Abnormal Psychology, 121, 838-851. [Exploratory, explanatory, and multiple-group multidimensional graded response models were applied.]
• Suh, Y., Cho, S.-J., & Wollack, J. A. (2012). A comparison of item calibration procedures in the presence of test speededness. Journal of Educational Measurement, 49, 285-311.
• Cho, S.-J., Partchev, I., & De Boeck, P. (2012). Parameter estimation of multiple item profiles models. British Journal of Mathematical and Statistical Psychology, 65, 438-466.
• 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 applied.]
• 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 Academy of Education/Spencer Postdoctoral Fellowship (9/2013 - 6/2015)

Study Title: Evaluating educational programs with a new item response theory perspective

• 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