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Benefits of the Curious Behavior of Bayesian Hierarchical Item Response Theory Models—An in-Depth Investigation and Bias Correction
When using Bayesian hierarchical modeling, a popular approach for Item Response Theory (IRT) models, researchers typically face a tradeoff between the precision and accuracy of the item parameter estimates. Given the pooling principle and variance-dependent shrinkage, the expected behavior of Bayesian hierarchical IRT models is to deliver more precise but …