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Applied Psychological Measurement|December 6, 2021
<i>bmggum</i>: An R Package for Bayesian Estimation of the Multidimensional Generalized Graded Unfolding Model With CovariatesNaidan Tu, Bo Zhang, Lawrence Angrave, et al.
Journal of Intelligence|August 25, 2023
Estimating the Multidimensional Generalized Graded Unfolding Model with Covariates Using a Bayesian ApproachNaidan Tu, Bo Zhang, Lawrence Angrave, et al.
Applied Psychological Measurement|December 13, 2021
autoFC: An R Package for Automatic Item Pairing in Forced-Choice Test ConstructionMengtong Li, Tianjun Sun, Bo Zhang
Applied Psychological Measurement|July 8, 2026
Random Responding Detection in Two Alternative Forced Choice Tests: <i>l</i> <sub><i>z</i></sub> vs. Optimal Appropriateness MeasurementNaidan Tu, Sean Joo, Stephen Stark
Behavior Research Methods|June 23, 2025
Examining the tradeoffs of exposure control and collateral information with multidimensional forced-choice computerized adaptive testingNaidan Tu, Sean Joo, Stephen Stark
Multivariate Behavioral Research|August 6, 2021
Small but Nontrivial: A Comparison of Six Strategies to Handle Cross-Loadings in Bifactor Predictive ModelsBo Zhang, Jing Luo, Tianjun Sun, et al.
Frontiers in Public Health|July 28, 2020
The Relationship Between Health Literacy, Social Support, Depression, and Frailty Among Community-Dwelling Older Patients With Hypertension and Diabetes in ChinaYan Liu, Hongdao Meng, Naidan Tu, et al.
Behavior Research Methods|August 5, 2022
Comparison of parameter estimation approaches for multi-unidimensional pairwise preference testsNaidan Tu, Sean Joo, Philseok Lee, et al.
Applied Psychological Measurement|September 15, 2025
<i>fcirt</i>: An R Package for Forced Choice Models in Item Response TheoryNaidan Tu, Sean Joo, Philseok Lee, et al.
Applied Psychological Measurement|July 4, 2025
Detecting DIF with the Multi-Unidimensional Pairwise Preference Model: Lord's Chi-square and IPR-NCDIF MethodsLavanya S Kumar, Naidan Tu, Sean Joo, et al.
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