Sun-Joo Cho
Assistant Professor of Psychology and Human Development
Research topics include generalized latent variable modeling and its parameter estimation, with a focus on item response modeling.
Data complexity Dr. Cho has dealt with consists of (1) multiple manifest person categories such as a control group versus an experimental group in an experimental design, (2) multiple latent person categories (or mixtures or latent classes) such as a mastery group versus a non-mastery group in a cognitive test, (3) multiple manifest item groups that may lead the multidimensionality such as number operation, measurement, and representation item groups in a math test, (4) multiple manifest person groups such as schools where students are nested in multilevel (or hierarchical) data, and (5) multiple time points such as pretest and posttest results in intervention studies.
Representative Publications
* denotes co-authors at Peabody College.
- Cho, S.-J., De Boeck, P., Embretson, S., & Rabe-Hesketh, S. (accepted conditionally upon minor revisions). Additive multilevel item structure models with random residuals: Item modeling for explanation and item generation. Psychometrika.
- Bottge, B. & Cho, S.-J. (accepted). Assessing item-level effects of enhanced anchored instruction on problem solving. Learning Disabilities: A Multidisciplinary Journal. [Multilevel longitudinal item response models were used.]
- Bottge, B., Ma, X., Toland, M., Gassaway, L., Butler, M., & Cho, S.-J. (accepted). Effects of blended instructional models on math performance. Exceptional Children. [Three-level hierarchical linear models for repeated measures were used.]
- 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.
- Cho, S.-J., Cohen, A. S., & Bottge, B. (in press). Detecting intervention effects using a multilevel latent transition analysis with a mixture IRT model. Psychometrika.
- 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 used.]
- 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 used.]
- 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 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
- Semi-finalist, National Academy of Education/Spencer Postdoctoral Fellowship (2013)
- 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