Articles with public access mandates - Minjeong JeonLearn more
Not available anywhere: 5
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
Mandates: US Institute of Education Sciences
An autoregressive growth model for longitudinal item analysis
M Jeon, S Rabe-Hesketh
psychometrika 81, 830-850, 2016
Mandates: US Institute of Education Sciences
Etiological distinction across dimensions of math anxiety
SL Lukowski, J DiTrapani, NJ Rockwood, M Jeon, LA Thompson, ...
Behavior Genetics 49, 310-316, 2019
Mandates: US National Science Foundation, US National Institutes of Health
A general psychometric approach for educational survey assessments: Flexible statistical models and efficient estimation methods
F Rijmen, M Jeon, M von Davier, S Rabe-Hesketh
A handbook of international large-scale assessment data analysis. London …, 2013
Mandates: US Institute of Education Sciences
Commentary: Explore Conditional Dependencies in Item Response Tree Data
M Jeon
psychometrika 88 (3), 803-808, 2023
Mandates: US Institute of Education Sciences
Available somewhere: 13
A generalized item response tree model for psychological assessments
M Jeon, P De Boeck
Behavior research methods 48, 1070-1085, 2016
Mandates: US Institute of Education Sciences
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
Mandates: US National Science Foundation, US National Institutes of Health
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
Mandates: US Institute of Education Sciences
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
Mandates: US Institute of Education Sciences
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
Mandates: US National Science Foundation
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
Mandates: US National Institutes of Health
A modular approach for item response theory modeling with the R package flirt
M Jeon, F Rijmen
Behavior Research Methods 48, 742-755, 2016
Mandates: US Institute of Education Sciences
Recent developments in maximum likelihood estimation of MTMM models for categorical data
M Jeon, F Rijmen
Frontiers in psychology 5, 269, 2014
Mandates: US Institute of Education Sciences
Fostering interdisciplinary collaboration: A longitudinal social network analysis of the NIH mHealth Training Institutes
E Ho, M Jeon, M Lee, J Luo, AF Pfammatter, V Shetty, B Spring
Journal of clinical and translational science 5 (1), e191, 2021
Mandates: US National Institutes of Health
Bayesian Estimation of Latent Space Item Response Models with JAGS, Stan, and NIMBLE in R
J Luo, L De Carolis, B Zeng, M Jeon
Psych 5 (2), 396-415, 2023
Mandates: US National Institutes of Health
Relationships between changing communication networks and changing perceptions of psychological safety in a team science setting: analysis with actor-oriented social network models
J Luo, M Jeon, M Lee, E Ho, AF Pfammatter, V Shetty, B Spring
PloS one 17 (8), e0273899, 2022
Mandates: US National Institutes of Health
Multilevel network item response modelling for discovering differences between innovation and regular school systems in Korea
IH Jin, M Jeon, M Schweinberger, J Yun, L Lin
Journal of the Royal Statistical Society Series C: Applied Statistics 71 (5 …, 2022
Mandates: US National Science Foundation, US Department of Defense
Bayesian Shrinkage for Functional Network Models, With Applications to Longitudinal Item Response Data
J Park, Y Jeon, M Shin, M Jeon, IH Jin
Journal of Computational and Graphical Statistics 31 (2), 360-377, 2022
Mandates: US National Science Foundation
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