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Advances in Item Response Theory Modeling and Application
Fri, April 9, 10:40am to 12:10pm EDT (10:40am to 12:10pm EDT), Division D, Division D - Section 1 Paper and Symposium SessionsSession Type: Paper Session
Abstract
This session proposes methodological innovation for Item Response Theory models. Authors examine complex and multidimensional IRT models' performance, develop methods for exceptional cases in latent ability estimation, or combine IRT with other measurement models.
Sub Unit
Chair
Papers
Croon-Based Estimation for Small Sample Explanatory Item Response Models - Benjamin Kelcey, University of Cincinnati; Fangxing Bai, University of Cincinnati; Yanli Xie, University of Cincinnati
Parameter Recovery for the Four-Parameter Item Response Theory Model: A Comparison of Marginal Maximum Likelihood and Markov Chain Monte Carlo Approaches - Hoan Do, Ohio University; Gordon P. Brooks, Ohio University
The Accuracy and Added Value of Full-Information Bifactor Model Domain Scores for Graded Response Data - Jason C. Immekus, University of Louisville; Ruben Castaneda, The College Board
Performance of DIMTEST and ATFIND Under Some Commonly Encountered Suboptimal Conditions Including Nonnormal Latent Trait Distributions - Kirsten Hochstedt, The Pennsylvania State University; Pui-Wa Lei, The Pennsylvania State University; Jeffrey Borck
Combining Generalizability Theory and Item Response Theory: A Methodological Review - Mingying Zheng, The University of Iowa