| Redefine statistical significance DJ Benjamin, JO Berger, M Johannesson, BA Nosek, EJ Wagenmakers, ... Nature human behaviour 2 (1), 6-10, 2018 | 2702 | 2018 |
| An overview of models for response times and processes in cognitive tests P De Boeck, M Jeon Frontiers in psychology 10, 422756, 2019 | 176 | 2019 |
| A generalized item response tree model for psychological assessments M Jeon, P De Boeck Behavior research methods 48, 1070-1085, 2016 | 144 | 2016 |
| Handbook of international large-scale assessment: Background, technical issues, and methods of data analysis L Rutkowski, M von Davier, D Rutkowski CRC Press, 2013 | 132 | 2013 |
| Perceived crisis and reforms: Issues, explanations, and remedies. P De Boeck, M Jeon Psychological bulletin 144 (7), 757, 2018 | 79 | 2018 |
| Multidimensionality in the measurement of math-specific anxiety and its relationship with mathematical performance SL Lukowski, J DiTrapani, M Jeon, Z Wang, VJ Schenker, MM Doran, ... Learning and individual differences 70, 228-235, 2019 | 67 | 2019 |
| Modeling differential item functioning using a generalization of the multiple-group bifactor model M Jeon, F Rijmen, S Rabe-Hesketh Journal of Educational and Behavioral Statistics 38 (1), 32-60, 2013 | 67 | 2013 |
| Modeling answer changes on test items WJ Van der Linden, M Jeon Journal of Educational and Behavioral Statistics 37 (1), 180-199, 2012 | 57 | 2012 |
| Decision qualities of Bayes factor and p value-based hypothesis testing. M Jeon, P De Boeck Psychological Methods 22 (2), 340, 2017 | 56 | 2017 |
| Attempting to differentiate fast and slow intelligence: Using generalized item response trees to examine the role of speed on intelligence tests J DiTrapani, M Jeon, P De Boeck, I Partchev Intelligence 56, 82-92, 2016 | 49 | 2016 |
| General mixture item response models with different item response structures: Exposition with an application to Likert scales J Tijmstra, M Bolsinova, M Jeon Behavior research methods 50, 2325-2344, 2018 | 44 | 2018 |
| Modeling answer change behavior: An application of a generalized item response tree model M Jeon, P De Boeck, W van der Linden Journal of Educational and Behavioral Statistics 42 (4), 467-490, 2017 | 43 | 2017 |
| A third-order item response theory model for modeling the effects of domains and subdomains in large-scale educational assessment surveys F Rijmen, M Jeon, M Von Davier, S Rabe-Hesketh Journal of Educational and Behavioral Statistics 39 (4), 235-256, 2014 | 37 | 2014 |
| Mapping unobserved item–respondent interactions: A latent space item response model with interaction map M Jeon, IH Jin, M Schweinberger, S Baugh Psychometrika 86 (2), 378-403, 2021 | 34 | 2021 |
| Estimating reliability of school-level scores using multilevel and generalizability theory models MJ Jeon, G Lee, JW Hwang, SJ Kang Asia Pacific Education Review 10, 149-158, 2009 | 33 | 2009 |
| A variational maximization–maximization algorithm for generalized linear mixed models with crossed random effects M Jeon, F Rijmen, S Rabe-Hesketh Psychometrika 82, 693-716, 2017 | 30 | 2017 |
| Flexible item response theory modeling with FLIRT M Jeon, F Rijmen, S Rabe-Hesketh Applied Psychological Measurement 38 (5), 404-405, 2014 | 30 | 2014 |
| A paradox in the study of the benefits of test‐item review WJ van der Linden, M Jeon, S Ferrara Journal of Educational Measurement 48 (4), 380-398, 2011 | 30 | 2011 |
| Profile-likelihood approach for estimating generalized linear mixed models with factor structures M Jeon, S Rabe-Hesketh Journal of Educational and Behavioral Statistics 37 (4), 518-542, 2012 | 29 | 2012 |
| Stability of retrospective pregnancy intention reporting among women with unwanted pregnancies in the United States CH Rocca, MR Wilson, M Jeon, DG Foster Maternal and child health journal 23, 1547-1555, 2019 | 27 | 2019 |
