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Plos One|May 22, 2024
A novel machine learning-based prediction method for patients at risk of developing depressive symptoms using a small dataMinyoung Yun, Minjeong Jeon, Heyoung YangScientific Reports|August 19, 2025
Discovering action insights from large-scale assessment log data using machine learningMinyoung Yun, Minjeong Jeon, Heyoung YangPsychometrika|April 27, 2023
Commentary: Explore Conditional Dependencies in Item Response Tree DataMinjeong JeonJournal of Intelligence|April 26, 2024
A Recent Development of a Network Approach to Assessment Data: Latent Space Item Response Modeling for Intelligence StudiesInhan Kang, Minjeong JeonPsychological Methods|May 4, 2026
A time-varying interaction map approach for longitudinal assessmentsMinjeong Jeon, Michael SchweinbergerBehavior Research Methods|July 16, 2015
A modular approach for item response theory modeling with the R package flirtMinjeong Jeon, Frank RijmenPsychometrika|November 8, 2022
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment DataMeredith Langi, Minjeong JeonPsychometrika|January 9, 2026
Regularized Joint Maximum Likelihood Estimation of Latent Space Item Response ModelsDylan Molenaar, Minjeong JeonFrontiers in Psychology|May 1, 2014
Recent developments in maximum likelihood estimation of MTMM models for categorical dataMinjeong Jeon, Frank RijmenFrontiers in Psychology|November 10, 2022
Modern applications of cross-classified random effects models in social and behavioral research: Illustration with R package PLmixedSijia Huang, Minjeong JeonPageof 11