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On the Choice of the Item Response Model for Scaling PISA Data: Model Selection Based on Information Criteria and Quantifying Model Uncertainty.
Alexander Robitzsch
Published in:
Entropy (2022)
Keyphrases
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model selection
prior knowledge
parameter estimation
cross validation
probabilistic model
data sets
information criterion
bayesian learning
hypothesis tests
selection criterion
bayesian methods
hidden variables
learning models
prior information
statistical model
em algorithm
probability distribution