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Session Type: Paper Session
This session illustrates a set of innovative psychometric models with the purpose of understanding and improving the precision, reliability, and computational efficiency of psychometric assessments.
Item-Explanatory Mokken Scaling: Using Nonparametric Item Response Theory to Explore Item Characteristics - Stefanie A. Wind, University of Alabama
Examining the Impact of Nonnormality on Parameter Estimation in Bifactor Graded Response Model - Jujia Li, University of Alabama; Chunhua Cao, University of Alabama; Wenchao Ma, University of Minnesota
Item Factor Analysis With Misclassification Errors Informed by Response Time - R. Noah Padgett, Harvard University
A Hierarchical Facets Model for the Joint Analysis of Ratings and Rating Times - Kuan-Yu Jin, Hong Kong Examinations and Assessment Authority; Thomas Eckes, University of Bochum
Two-Stage Polytomous Attribute Estimation Methods: Overcoming Computational Challenges in Large-Scale Assessments With Polytomous Attributes - Yuting Han, Beijing Language and Culture University; Zhehan Jiang, Peking University; Lingling Xu, Hangzhou Normal University; Fen Cai, Peking University