Factor Analysis and Missing Data

Kim, D.S. (2025+). A hybrid EM algorithm for linear two-way interactions with missing data. Journal of Educational and Behavioral Statistics. [Link]

Kim, D.S., Lu, A., & Zhou, Q. (2025). The Correlation Thresholding Algorithm for exploratory factor analysis. Structural Equation Modeling: A Multidisciplinary Journal. 32(6), 966–979. [Link]

Kim, D. S., & Zhou, Q. (2023). Structure learning of latent factors via clique search on correlation thresholded graphs. Proceedings of the 40th International Conference on Machine Learning. 202, 16978–16996. [Link]

Kim, D. S., Reise, S. P., & Bentler, P. M. (2018). Identifying aberrant data in structural equation models with IRLS-ADF. Structural Equation Modeling: A Multidisciplinary Journal, 24(3), 343–358. [Link]

Reise, S. P., Kim, D. S., Mansolf, M., & Widaman, K. F. (2016). Is the bifactor model a better model or is it just better at modeling implausible responses? Application of iteratively reweighted least squares to the Rosenberg Self-Esteem Scale. Multivariate Behavioral Research, 51(6), 818–838. [Link]

Statistical Inference for the Behavioral Sciences

Kim, D. S., & McCabe, C. J. (2022). The partial derivative framework for substantive regression effects. Psychological Methods, 27(1), 121–141. [Link]

McCabe, C. J., Halvorson, M. A., King, K. M., Cao, X., & Kim, D. S. (2022). Interpreting interaction effects in generalized linear models of nonlinear probabilities and counts. Multivariate Behavioral Research, 57(2–3), 243–263. [Link]

Halvorson, M. A., McCabe, C. J., Kim, D. S., Cao, X., & King, K. M. (2022). Making sense of some odd ratios: A tutorial and improvements to present practices in reporting and visualizing quantities of interest for binary and count outcome models. Psychology of Addictive Behaviors, 36(3), 284–295. [Link]

McCabe, C. J., Kim, D. S., & King, K. M. (2018). Improving present practices in the visual display of interactions. Advances in Methods and Practices in Psychological Science, 1(2), 147–165. [Link]

Applied Measurement

King, K. M., Kim, D. S., & McCabe, C. J. (2018). Random responses inflate statistical estimates in heavily skewed addictions data. Drug and Alcohol Dependence, 183, 102–110. [Link]

Kim, D. S., McCabe, C. J., Yamasaki, B. L., Louie, K. A., & King, K. M. (2018). Detecting careless responders with infrequency scales using an error balancing threshold. Behavior Research Methods, 50(5), 1960–1970. [Link]