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Session Type: Paper Session
This session consists of a series of methodological and applied papers with a methodological focus in item response theory. Authors either propose the use of new model fit statistic or estimator, or demonstrate effectiveness of those were recently proposed.
A Comparison Study Among General-Purpose Bayesian Implementations for Item Response Theory Models - Chanjin Zheng, East China Normal University; Shaoyang Guo, East China Normal University
An Approach to Evaluate Nontrivial Misfit in Item Response Theory - Hwanggyu Lim, The Graduate Management Admission Council; Craig S. Wells, University of Massachusetts - Amherst; Hongyu Diao, Educational Testing Service
Polytomous Item Explanatory Item Response Theory Models With Random Item Errors: Simulation and Empirical Studies - JinHo Kim, University of Seoul; Mark R. Wilson, University of California - Berkeley; Sophia Rabe-Hesketh, University of California - Berkeley
A Robust Alternative Estimator for Small-Scale Latent Variable Analyses Using Categorical Indicators - Benjamin Kelcey, University of Cincinnati; Fangxing Bai, University of Cincinnati
A Group Fit Statistic for the Multilevel Item Response Model - Yishan Ding, University of Maryland - College Park; Ji Seung Yang, University of Maryland