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New Developments and Applications in Cognitive Diagnosis Models
Tue, April 12, 2:15 to 3:45pm, Marriott Marquis, Floor: Level Four, Independence Salon FSession Type: Paper Session
Sub Unit
Chair
Papers
Evaluating Classification Accuracy in Cognitive Diagnosis Models: A Monte Carlo Simulation Study - Miao Gao, Nanjing Normal University; M. David Miller, University of Florida; Ren Liu, University of Florida
Examining the Difficulty of Large-Scale Mathematics Assessment Items via Explanatory Item Response Theory Models - Kristin M. Morrison, Georgia Institute of Technology; Robert Andrew Schwartz, Pearson
Item Exposure Control in Variable-Length Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT) - Chanjin Zheng, Jiangxi Normal University; Hua-Hua Chang, University of Illinois at Urbana-Champaign
The Effects of Q-Matrix Design on Classification Accuracy in the Hierarchical Diagnostic Classification Model - Ren Liu, University of Florida; Anne Corinne Huggins-Manley, University of Florida; Yuxi Qiu, University of Florida; Miao Gao, Nanjing Normal University
The Probabilistic-Inputs, Noisy Conjunctive Model for Cognitive Diagnosis - Peida Zhan, Beijing Normal University; Wen-Chung Wang, The Hong Kong Institute of Education; Xiaomin Li, The Hong Kong Institute of Education; Yufang Bian, Beijing Normal University