Publications
Publications
Kang, I., & Jeon, M. (2025). Integration of Latent Space and Confirmatory Factor Analysis to Explain Unexplained Person-Item Interactions. Psychological Methods. Advanced online publication. https://doi.org/10.1037/met0000791
Kang, I., & Jeon, M. (2025). Multidimensional Latent Space Item Response Model: A Note on the Relativity of Conditional Dependence. Psychometrika, 90(2), 799-826. https://doi.org/10.1017/psy.2025.5
Kang, I. (2025). On the Latent Structure of Responses and Response Times from Multidimensional Personality Measurement with Ordinal Rating Scales. Multivariate Behavioral Research, 60(2), 393-422. https://doi.org/10.1080/00273171.2024.2436406
Myung, J. I., Deneault, J. R., Chang, J., Kang, I., Maruyama, B., & Pitt, M. A. (2025). Multi-objective Bayesian Optimization: A Case Study in Additive Manufacturing. Digital Discovery, 4, 464-476. https://doi.org/10.1039/D4DD00281D
Cheon, J-E., Yang, H., Kang, I., & Y-H., Kim. (2024). Totality Model of Neuroticism: The Sum of Wife and Husband Neuroticism Predicts Marital Dissatisfaction. Personality and Individual Differences, 228, 112726. https://doi.org/10.1016/j.paid.2024.112726
Kang, I., & Jeon, M. (2024). A Recent Development of a Network Approach to Assessment Data: Latent Space Item Response Modeling for Intelligence Studies. Journal of Intelligence, 12(4), 38. https://doi.org/10.3390/jintelligence12040038
Kang, I., Jeon, M., & Partchev, I. (2023). A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times. Psychometrika, 88(3), 830-864. https://doi.org/10.1007/s11336-023-09920-x
Kang, I., Molenaar, D., & Ratcliff, R. (2023). A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data. Psychometrika, 88(3), 940-974. https://doi.org/10.1007/s11336-023-09902-z
Kang, I., Galdo, M., & Turner, B. M. (2022). Constraining Functional Coactivation with a Cluster-based Structural Connectivity Network. Network Neuroscience, 6(4), 1032-1065. https://doi.org/10.1162/netn_a_00242
Kang, I., Yi, W., & Turner, B. M. (2022). A Regularization Method for Linking Brain and Behavior. Psychological Methods, 27(3), 400-425. http://dx.doi.org/10.1037/met0000387
Kang, I., De Boeck, P., & Partchev, I. (2022). A Randomness Perspective on Intelligence Processes. Intelligence, 91, 101632. https://doi.org/10.1016/j.intell.2022.101632
Kang, I., De Boeck, P., & Ratcliff, R. (2022). Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model. Psychometrika, 87(2), 725-748. https://doi.org/10.1007/s11336-021-09819-5
Ratcliff, R., & Kang, I. (2021). Qualitative speed-accuracy tradeoff effects can be explained by a diffusion/fast-guess mixture model. Scientific Report, 11, 15169. https://doi.org/10.1038/s41598-021-94451-7
Kang, I., Ratcliff, R., & Voskuilen, C. (2020). A note on decomposition of sources of variability in perceptual decision-making. Journal of Mathematical Psychology, 98, 102431. https://doi.org/10.1016/j.jmp.2020.102431
Kang, I., & Ratcliff, R. (2020). Modeling the interaction of numerosity and perceptual variables with the diffusion model. Cognitive Psychology, 120, 101288. https://doi.org/10.1016/j.cogpsych.2020.101288
Kang, I. (under review). Diffusion Partial Credit Model: Joint Item Response Theory Model for Scores and Response Times.
De Carolis, L., Kang, I., & Jeon, M. (under review). A Latent Space Graded Response Model for Likert-scale Psychological Assessments.
Ratcliff, R., McKoon, G., & Kang, I. (under review). Examining Aging and Individual Differences in Numeracy in Older Adults Using Diffusion Model Analyses of Numeracy Data and Their Relationship to Numeracy and Ability Measures.