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Psychometrika|April 27, 2023
Commentary: Explore Conditional Dependencies in Item Response Tree DataMinjeong JeonScientific Reports|July 27, 2021
Qualitative speed-accuracy tradeoff effects can be explained by a diffusion/fast-guess mixture modelRoger Ratcliff, Inhan KangCognitive Psychology|April 24, 2020
Modeling the interaction of numerosity and perceptual variables with the diffusion modelInhan Kang, Roger RatcliffJournal of Nanoscience and Nanotechnology|March 15, 2021
Direct Growth of CuO Particles on Carbon Papers for High-Performance Rechargeable Li-O₂ BatteriesInhan Kang, Jungwon KangPsychological 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 JeonBehavioral and Brain Functions : BBF|November 21, 2007
Spider phobics more easily see a spider in morphed schematic picturesIris-Tatjana Kolassa, Arlette Buchmann, Romy Lauche, et al.Frontiers in Psychology|May 1, 2014
Recent developments in maximum likelihood estimation of MTMM models for categorical dataMinjeong Jeon, Frank RijmenPageof 8