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Applied Psychological Measurement|January 6, 2026
Improving Latent Trait Estimation in Multidimensional Forced Choice Measures: Latent Regression Multi-Unidimensional Pairwise Preference ModelSean Joo, Philseok Lee, Stephen StarkApplied 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.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|March 14, 2022
Bayesian Approaches for Detecting Differential Item Functioning Using the Generalized Graded Unfolding ModelSeang-Hwane Joo, Philseok Lee, Stephen StarkApplied Psychological Measurement|December 13, 2021
The Explanatory Generalized Graded Unfolding Model: Incorporating Collateral Information to Improve the Latent Trait Estimation AccuracySeang-Hwane Joo, Philseok Lee, Stephen StarkApplied Psychological Measurement|June 9, 2018
Linking Methods for the Zinnes-Griggs Pairwise Preference IRT ModelPhilseok Lee, Seang-Hwane Joo, Stephen StarkBehavior Research Methods|July 26, 2019
Adaptive testing with the GGUM-RANK multidimensional forced choice model: Comparison of pair, triplet, and tetrad scoringSeang-Hwane Joo, Philseok Lee, Stephen StarkMultivariate Behavioral Research|August 9, 2021
Modeling Multidimensional Forced Choice Measures with the Zinnes and Griggs Pairwise Preference Item Response Theory ModelSeang-Hwane Joo, Philseok Lee, Stephen StarkApplied Psychological Measurement|June 9, 2018
Evaluating Anchor-Item Designs for Concurrent Calibration With the GGUMSeang-Hwane Joo, Philseok Lee, Stephen StarkApplied Psychological Measurement|April 26, 2019
GGUM-RANK Statement and Person Parameter Estimation With Multidimensional Forced Choice TripletsPhilseok Lee, Seang-Hwane Joo, Stephen Stark, et al.Pageof 5