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Bayesian Irt Models Incorporating General and Specific Abilities
Author(s) -
Yanyan Sheng,
Christopher K. Wikle
Publication year - 2009
Publication title -
behaviormetrika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.507
H-Index - 8
eISSN - 1349-6964
pISSN - 0385-7417
DOI - 10.2333/bhmk.36.27
Subject(s) - item response theory , bayesian probability , computer science , hierarchical database model , econometrics , machine learning , artificial intelligence , mathematics , data mining , statistics , psychometrics
IRT-based models with a general ability and several specific ability dimensions are useful. Studies have looked at item response models where the general and specific ability dimensions form a hierarchical structure. It is also possible that the general and specific abilities directly underlie all test items. A multidimensional IRT model with such an additive structure is proposed under the Bayesian framework. Simulation studies were conducted to evaluate parameter recovery as well as model comparisons. A real data example is also provided. The results suggest that the proposed additive model offers a better way to represent the test situations not realized in existing models.

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